WorldWideScience

Sample records for human decision maker

  1. Decision and decision makers

    Directory of Open Access Journals (Sweden)

    Anuta Porutiu

    2010-12-01

    Full Text Available In the current economic context, decision making requires complex and multiple actions on the part of the policy makers, who are more challenged than in previous situations, due to the crisis that we are facing. Decision problems cannot be solved by focusing on manager’s own experience or intuition, but require constant adaptation of the methods used effectively in the past to new challenges. Thus, a systemic analysis and modeling of arising issues is required, resulting in the stringent use of Decision Support Systems (DSS, as a necessity in a competitive environment. DSS optimize the situation by getting a timely decision because the decision making process must acquire, process and interpret an even larger amount of data in the shortest possible time. A solution for this purpose is the artificial intelligence systems, in this case Decision Support Systems (DSS, used in a wider area due to expansion of all the new information technologies in decisionmaking processes. These substantial cyber innovations have led to a radical shift in the relationship between enterprise success and quality of decisions made by managers.

  2. Decision Making with Imperfect Decision Makers

    CERN Document Server

    Guy, Tatiana Valentine; Wolpert, David H

    2012-01-01

    Prescriptive Bayesian decision making has reached a high level of maturity and is well-supported algorithmically. However, experimental data shows that real decision makers choose such Bayes-optimal decisions surprisingly infrequently, often making decisions that are badly sub-optimal. So prevalent is such imperfect decision-making that it should be accepted as an inherent feature of real decision makers living within interacting societies. To date such societies have been investigated from an economic and gametheoretic perspective, and even to a degree from a physics perspective. However, lit

  3. What Attracts Decision Makers' Attention?

    DEFF Research Database (Denmark)

    Bentzen, Eric; Christiansen, John K.; Varnes, Claus J.

    2011-01-01

    Purpose – Managers' attention is a scarce resource in complex innovation settings. Prior research on the factors to which managers pay attention is mostly based on surveys. The present study aims to address the need for knowledge about the behavior of decision makers based on observations from po...

  4. Decision maker based on atomic switches

    OpenAIRE

    Song-Ju Kim; Tohru Tsuruoka; Tsuyoshi Hasegawa; Masashi Aono; Kazuya Terabe; Masakazu Aono

    2016-01-01

    We propose a simple model for an atomic switch-based decision maker (ASDM), and show that, as long as its total number of metal atoms is conserved when coupled with suitable operations, an atomic switch system provides a sophisticated ``decision-making'' capability that is known to be one of the most important intellectual abilities in human beings. We considered a popular decision-making problem studied in the context of reinforcement learning, the multi-armed bandit problem (MAB); the probl...

  5. Worksite Nutrition: A Decision-Maker's Guide.

    Science.gov (United States)

    American Dietetic Association, Chicago, IL.

    This guide is designed specifically to assist decision makers in business and industry, including chief executive officers, benefits managers, human resource directors, wellness coordinators, and owners of small businesses, in understanding how diet and nutrition affect employees and the company. It addresses the concerns of both small and large…

  6. Single-photon decision maker

    CERN Document Server

    Naruse, Makoto; Drezet, Aurelien; Huant, Serge; Aono, Masashi; Hori, Hirokazu; Kim, Song-Ju

    2015-01-01

    Decision making is critical in our daily lives and for society in general and is finding evermore practical applications in information and communication technologies. Herein, we demonstrate experimentally that single photons can be used to make decisions in uncertain, dynamically changing environments. Using a nitrogen-vacancy in a nanodiamond as a single-photon source, we demonstrate the decision-making capability by solving the multi-armed bandit problem. This capability is directly and immediately associated with single-photon detection in the proposed architecture, leading to adequate and adaptive autonomous decision making. This study makes it possible to create systems that benefit from the quantum nature of light to perform practical and vital intelligent functions.

  7. Decision maker based on atomic switches

    Directory of Open Access Journals (Sweden)

    Song-Ju Kim

    2016-02-01

    Full Text Available We propose a simple model for an atomic switch-based decision maker (ASDM, and show that, as long as its total number of metal atoms is conserved when coupled with suitable operations, an atomic switch system provides a sophisticated ``decision-making'' capability that is known to be one of the most important intellectual abilities in human beings. We considered a popular decision-making problem studied in the context of reinforcement learning, the multi-armed bandit problem (MAB; the problem of finding, as accurately and quickly as possible, the most profitable option from a set of options that gives stochastic rewards. These decisions are made as dictated by each volume of precipitated metal atoms, which is moved in a manner similar to the fluctuations of a rigid body in a tug-of-war game. The ``tug-of-war (TOW dynamics'' of the ASDM exhibits higher efficiency than conventional reinforcement-learning algorithms. We show analytical calculations that validate the statistical reasons for the ASDM to produce such high performance, despite its simplicity. Efficient MAB solvers are useful for many practical applications, because MAB abstracts a variety of decision-making problems in real-world situations where an efficient trial-and-error is required. The proposed scheme will open up a new direction in physics-based analog-computing paradigms, which will include such things as ``intelligent nanodevices'' based on self-judgment.

  8. A scientist's guide to engaging decision makers

    Science.gov (United States)

    Vano, J. A.

    2015-12-01

    Being trained as a scientist provides many valuable tools needed to address society's most pressing environmental issues. It does not, however, provide training on one of the most critical for translating science into action: the ability to engage decision makers. Engagement means different things to different people and what is appropriate for one project might not be for another. However, recent reports have emphasized that for research to be most useful to decision making, engagement should happen at the beginning and throughout the research process. There are an increasing number of boundary organizations (e.g., NOAA's Regional Integrated Sciences and Assessment program, U.S. Department of the Interior's Climate Science Centers) where engagement is encouraged and rewarded, and scientists are learning, often through trial and error, how to effectively include decision makers (a.k.a. stakeholders, practitioners, resource managers) in their research process. This presentation highlights best practices and practices to avoid when scientists engage decision makers, a list compiled through the personal experiences of both scientists and decision makers and a literature review, and how this collective knowledge could be shared, such as through a recent session and role-playing exercise given at the Northwest Climate Science Center's Climate Boot Camp. These ideas are presented in an effort to facilitate conversations about how the science community (e.g., AGU researchers) can become better prepared for effective collaborations with decision makers that will ultimately result in more actionable science.

  9. Financial planning. Influencing the decision makers.

    Science.gov (United States)

    Isaac, E K

    1985-11-01

    Decision makers are most influenced by the impact on the whole, while budget preparers often concentrate on the upcoming fiscal year or on daily operations. This difference in approach becomes obvious in the budget process. Remember that your budget proposal is only one segment of the overall financial plan. Be aware of the goals of the governing body and of your CEO in projecting outcomes. Look to other disciplines to understand how they influence decision makers for funds. Resistance to this approach will neither enhance nor promote our competitive skills. We must think as financial planners to achieve our financial goals.

  10. Automation: Decision Aid or Decision Maker?

    Science.gov (United States)

    Skitka, Linda J.

    1998-01-01

    This study clarified that automation bias is something unique to automated decision making contexts, and is not the result of a general tendency toward complacency. By comparing performance on exactly the same events on the same tasks with and without an automated decision aid, we were able to determine that at least the omission error part of automation bias is due to the unique context created by having an automated decision aid, and is not a phenomena that would occur even if people were not in an automated context. However, this study also revealed that having an automated decision aid did lead to modestly improved performance across all non-error events. Participants in the non- automated condition responded with 83.68% accuracy, whereas participants in the automated condition responded with 88.67% accuracy, across all events. Automated decision aids clearly led to better overall performance when they were accurate. People performed almost exactly at the level of reliability as the automation (which across events was 88% reliable). However, also clear, is that the presence of less than 100% accurate automated decision aids creates a context in which new kinds of errors in decision making can occur. Participants in the non-automated condition responded with 97% accuracy on the six "error" events, whereas participants in the automated condition had only a 65% accuracy rate when confronted with those same six events. In short, the presence of an AMA can lead to vigilance decrements that can lead to errors in decision making.

  11. Learning a decision maker's utility function from (possibly) inconsistent behavior

    DEFF Research Database (Denmark)

    Nielsen, Thomas Dyhre; Jensen, Finn Verner

    2004-01-01

    decision problem, there exists a utility function which canaccount for all the observed behavior. Unfortunately, this assumption israrely valid in real-world decision problems, and in these situationsexisting learning methods may only identify a trivial utilityfunction. In this paper we relax...... developed for learning the probabilities from a database.However, methods for learning the utilities have only received limitedattention in the computer science community. A promising approach for learning a decision maker's utility function is to takeoutset in the decision maker's observed behavioral...... patterns, and then find autility function which (together with a domain model) can explainthis behavior. That is, it is assumed that decision maker's preferences arereflected in the behavior. Standard learning algorithmsalso assume that the decision maker is behavioralconsistent, i.e., given a model ofthe...

  12. Responsibility Attribution for Collective Decision Makers

    NARCIS (Netherlands)

    Duch, Raymond; Przepiorka, Wojtek; Stevenson, Randolph

    2015-01-01

    We argue that individuals use responsibility attribution heuristics that apply to collective decisions made, for example, by families, teams within firms, boards in international organizations, or coalition governments. We conduct laboratory and online experiments to tease out the heuristics subject

  13. A qualitative investigation of selecting surrogate decision-makers

    NARCIS (Netherlands)

    Edwards, S.J.L.; Brown, P.; Twyman, M.A.; Christie, D.; Rakow, T.

    2011-01-01

    Background Empirical studies of surrogate decision-making tend to assume that surrogates should make only a 'substituted judgement'—that is, judge what the patient would want if they were mentally competent. Objectives To explore what people want in a surrogate decision-maker whom they themselves se

  14. Training Conservation Practitioners to be Better Decision Makers

    Directory of Open Access Journals (Sweden)

    Fred A. Johnson

    2015-06-01

    Full Text Available Traditional conservation curricula and training typically emphasizes only one part of systematic decision making (i.e., the science, at the expense of preparing conservation practitioners with critical skills in values-setting, working with decision makers and stakeholders, and effective problem framing. In this article we describe how the application of decision science is relevant to conservation problems and suggest how current and future conservation practitioners can be trained to be better decision makers. Though decision-analytic approaches vary considerably, they all involve: (1 properly formulating the decision problem; (2 specifying feasible alternative actions; and (3 selecting criteria for evaluating potential outcomes. Two approaches are available for providing training in decision science, with each serving different needs. Formal education is useful for providing simple, well-defined problems that allow demonstrations of the structure, axioms and general characteristics of a decision-analytic approach. In contrast, practical training can offer complex, realistic decision problems requiring more careful structuring and analysis than those used for formal training purposes. Ultimately, the kinds and degree of training necessary depend on the role conservation practitioners play in a decision-making process. Those attempting to facilitate decision-making processes will need advanced training in both technical aspects of decision science and in facilitation techniques, as well as opportunities to apprentice under decision analysts/consultants. Our primary goal should be an attempt to ingrain a discipline for applying clarity of thought to all decisions.

  15. On avoiding framing effects in experienced decision makers.

    Science.gov (United States)

    Garcia-Retamero, Rocio; Dhami, Mandeep K

    2013-01-01

    The present study aimed to (a) demonstrate the effect of positive-negative framing on experienced criminal justice decision makers, (b) examine the debiasing effect of visually structured risk messages, and (c) investigate whether risk perceptions mediate the debiasing effect of visual aids on decision making. In two phases, 60 senior police officers estimated the accuracy of a counterterrorism technique in identifying whether a known terror suspect poses an imminent danger and decided whether they would recommend the technique to policy makers. Officers also rated their confidence in this recommendation. When information about the effectiveness of the counterterrorism technique was presented in a numerical format, officers' perceptions of accuracy and recommendation decisions were susceptible to the framing effect: The technique was perceived to be more accurate and was more likely to be recommended when its effectiveness was presented in a positive than in a negative frame. However, when the information was represented visually using icon arrays, there were no such framing effects. Finally, perceptions of accuracy mediated the debiasing effect of visual aids on recommendation decisions. We offer potential explanations for the debiasing effect of visual aids and implications for communicating risk to experienced, professional decision makers.

  16. Market orientation in the mental models of decision-makers

    DEFF Research Database (Denmark)

    Grunert, Klaus G.; Trondsen, Torbjørn; Campos, Emilio Gonzalo

    2010-01-01

    , decision makers exhibit overlap in their views of what drives their business. The pork chain appears dominated by a focus on efficiency, technology, and quality control, though it also acknowledges communication as important. The salmon chain places more emphasis on new product development and good......Purpose: This study determines whether predictions about different degrees of market orientation in two cross-border value chains also appear in the mental models of decision makers at two levels of these value chains. Design: The laddering method elicits mental models of actors in two value chains......: Norwegian salmon exported to Japan and Danish pork exported to Japan. The analysis of the mental models centers on potential overlap and linkages between actors in the value chain, including elements in the mental models that may relate to the actors' market orientation. Findings: In both value chains...

  17. Strategic issues in information technology international implications for decision makers

    CERN Document Server

    Schütte, Hellmut

    1988-01-01

    Strategic Issues in Information Technology: International Implications for Decision Makers presents the significant development of information technology in the output of components, computers, and communication equipment and systems. This book discusses the integration of information technology into factories and offices to increase productivity.Organized into six parts encompassing 12 chapters, this book begins with an overview of the advancement towards an automated interpretation communication system to achieve real international communication. This text then examines the main determining

  18. Category theoretic analysis of single-photon decision maker

    CERN Document Server

    Kim, Makoto Naruse Song-Ju; Berthel, Martin; Drezet, Aurélien; Huant, Serge; Hori, Hirokazu

    2016-01-01

    Decision making is a vital function in the era of artificial intelligence; however, its physical realizations and their theoretical fundamentals are not yet known. In our former study [Sci. Rep. 5, 513253 (2015)], we demonstrated that single photons can be used to make decisions in uncertain, dynamically changing environments. The multi-armed bandit problem was successfully solved using the dual probabilistic and particle attributes of single photons. Herein, we present the category theoretic foundation of the single-photon-based decision making, including quantitative analysis that agrees well with the experimental results. The category theoretic model unveils complex interdependencies of the entities of the subject matter in the most simplified manner, including a dynamically changing environment. In particular, the octahedral structure in triangulated categories provides a clear understanding of the underlying mechanisms of the single-photon decision maker. This is the first demonstration of a category the...

  19. Climate Modeling and Analysis with Decision Makers in Mind

    Science.gov (United States)

    Jones, A. D.; Jagannathan, K.; Calvin, K. V.; Lamarque, J. F.; Ullrich, P. A.

    2016-12-01

    There is a growing need for information about future climate conditions to support adaptation planning across a wide range of sectors and stakeholder communities. However, our principal tools for understanding future climate - global Earth system models - were not developed with these user needs in mind, nor have we developed transparent methods for evaluating and communicating the credibility of various climate information products with respect to the climate characteristics that matter most to decision-makers. Several recent community engagements have identified a need for "co-production" of knowledge among stakeholders and scientists. Here we highlight some of the barriers to communication and collaboration that must be overcome to improve the dialogue among researchers and climate adaptation practitioners in a meaningful way. Solutions to this challenge are two-fold: 1) new institutional arrangements and collaborative mechanisms designed to improve coordination and understanding among communities, and 2) a research agenda that explicitly incorporates stakeholder needs into model evaluation, development, and experimental design. We contrast the information content in global-scale model evaluation exercises with that required for in specific decision contexts, such as long-term agricultural management decisions. Finally, we present a vision for advancing the science of model evaluation in the context of predicting decision-relevant hydroclimate regime shifts in North America.

  20. Introducing Complex Decision Models to the Decision Maker with Computer Software - The Profile Distance Method (PDM

    Directory of Open Access Journals (Sweden)

    Edward Bernroider

    2010-06-01

    Full Text Available In this paper we demonstrate how the profile distance method was transformed into a software environment enabling the decision maker to utilize a complex decision making tool without any advanced knowledge of the underlying mathematical and technical features. We present theoretical and technical aspects as well as contextual and usage related information from the viewpoint of the decision maker. Preliminary empirical results suggest that the developed software component is effective in terms of platform independence, usability and intuitive interface design. The data showed a good rating for usefulness, which, however, was targeted as the main goal for further development.

  1. Communicating Ecological Indicators to Decision Makers and the Public

    Directory of Open Access Journals (Sweden)

    Clifford S. Russell

    2001-06-01

    Full Text Available Ecological assessments and monitoring programs often rely on indicators to evaluate environmental conditions. Such indicators are frequently developed by scientists, expressed in technical language, and target aspects of the environment that scientists consider useful. Yet setting environmental policy priorities and making environmental decisions requires both effective communication of environmental information to decision makers and consideration of what members of the public value about ecosystems. However, the complexity of ecological issues, and the ways in which they are often communicated, make it difficult for these parties to fully engage such a dialogue. This paper describes our efforts to develop a process for translating the indicators of regional ecological condition used by the U.S. Environmental Protection Agency into common language for communication with public and decision-making audiences. A series of small-group sessions revealed that people did not want to know what these indicators measured, or how measurements were performed. Rather, respondents wanted to know what such measurements can tell them about environmental conditions. Most positively received were descriptions of the kinds of information that various combinations of indicators provide about broad ecological conditions. Descriptions that respondents found most appealing contained general reference to both the set of indicators from which the information was drawn and aspects of the environment valued by society to which the information could be applied. These findings can assist with future efforts to communicate scientific information to nontechnical audiences, and to represent societal values in ecological programs by improving scientist-public communication.

  2. Market orientation in the mental models of decision-makers

    DEFF Research Database (Denmark)

    Grunert, Klaus G.; Trondsen, Torbjørn; Campos, Emilio Gonzalo

    2010-01-01

    : Norwegian salmon exported to Japan and Danish pork exported to Japan. The analysis of the mental models centers on potential overlap and linkages between actors in the value chain, including elements in the mental models that may relate to the actors' market orientation. Findings: In both value chains......Purpose: This study determines whether predictions about different degrees of market orientation in two cross-border value chains also appear in the mental models of decision makers at two levels of these value chains. Design: The laddering method elicits mental models of actors in two value chains...... in promoting the market orientation of value chains. Originality: This article offers three novel ideas: using the concept of mental models as a possible mediator between factors that influence the degree of market orientation and market-oriented activity; using a laddering method to elicit mental models...

  3. Constructing Perceptions of Climate Change: a case study of regional political decision makers

    Science.gov (United States)

    Bray, D.

    2012-12-01

    This case study of climate change communications assesses the salient means of communication and the message adopted by regional political decision makers on the German Baltic coast. Realizing that cultural factors and local values (and not simply knowledge) are significant influences in explaining attitudes towards climate change, this analysis draws from the records of regional weather, from scientists with a specific focus on the region, from the political decision makers for that region, and the media message reaching the decision makers, ensuring all elements of the analysis are drawn from the same socioeconomic, geophysical, political and cultural context. This is important as the social dynamics surrounding the trust in science is of critical importance and, as such, all elements of the case study are specifically contained within a common context. If the utility of climate change knowledge is to prompt well conceived adaptation/mitigation strategies then the political decision process, or at least the perceptions shaping it, can best be understood by locating it within the world view of the decision makers involved in the production process. Using the results of two survey questionnaires, one of regional climate scientists and one of regional political decision makers, ten years of local weather records, and a summary of the message from mass media circulation, the discord in perceptions of regional climate change are quantitatively explored. The conclusions drawn from the analysis include, compared to the scientific assessment: The decision makers' perceptions of recent past differ from actual observations. The decision makers' perceptions of the future differ from scientific assessments. The decision makers tend to over estimate the magnitude of regional climate change and its impacts. The decision makers tend to over estimate the sense of immediacy for adaptation measures. The conclusions drawn suggest that in the regional political realm, it is often a

  4. A New Kind of Economy is Born - Social Decision-Makers Beat the "Homo Economicus"

    CERN Document Server

    Helbing, Dirk

    2013-01-01

    The Internet and Social Media change our way of decision-making. We are no longer the independent decision makers we used to be. Instead, we have become networked minds, social decision-makers, more than ever before. This has several fundamental implications. First of all, our economic theories must change, and second, our economic institutions must be adapted to support the social decision-maker, the "homo socialis", rather than tailored to the perfect egoist, known as "homo economicus".

  5. Research into the Decision-maker's Utility in the Enterprise's Decision System Based on Network Economy Environment

    Institute of Scientific and Technical Information of China (English)

    姚钟华; 张涛

    2004-01-01

    The decision system based on network economy is the foundation of enterprise's making good winning in its market. This paper describes the decision makers' utility model based on network economy, considers the roles decision-makers not only play in the enterprises are decision making, coordinating, controlling and monitoring, but also they are mainly designers, executants and educators in the mode of network economy

  6. A rough set approach for determining weights of decision makers in group decision making

    Science.gov (United States)

    Yang, Qiang; Du, Ping-an; Wang, Yong; Liang, Bin

    2017-01-01

    This study aims to present a novel approach for determining the weights of decision makers (DMs) based on rough group decision in multiple attribute group decision-making (MAGDM) problems. First, we construct a rough group decision matrix from all DMs’ decision matrixes on the basis of rough set theory. After that, we derive a positive ideal solution (PIS) founded on the average matrix of rough group decision, and negative ideal solutions (NISs) founded on the lower and upper limit matrixes of rough group decision. Then, we obtain the weight of each group member and priority order of alternatives by using relative closeness method, which depends on the distances from each individual group member’ decision to the PIS and NISs. Through comparisons with existing methods and an on-line business manager selection example, the proposed method show that it can provide more insights into the subjectivity and vagueness of DMs’ evaluations and selections. PMID:28234974

  7. Using Cognitive Conflict to Promote the Use of Dialectical Learning for Strategic Decision-Makers

    Science.gov (United States)

    Woods, Jeffrey G.

    2012-01-01

    Purpose: The purpose of this paper is to develop a conceptual model that uses dialectical inquiry (DI) to create cognitive conflict in strategic decision-makers for the purpose of improving strategic decisions. Activation of the dialectical learning process using DI requires strategic decision-makers to integrate conflicting information causing…

  8. Health Impact Assessment: a useful tool for decision makers

    Directory of Open Access Journals (Sweden)

    Livia Turco

    2007-09-01

    Full Text Available Health Impact Assessment is defined as ‘the combination of procedures, methods and tools through which it is possible to evaluate a policy, a program or a development plan concerning possible effects on public health and their distribution in the general population’. In a constructive debate this definition points out some interesting observations: - health is not the result of health policies alone, but it is often defined by the attention given to it in other contexts; - health is however the result of policies and it therefore must deserve the attention of Decision Makers; - health must not be taken into consideration without taking into account an evaluation of its distribution and its determinants within a population. Particular attention must therefore be paid into inequalities; - following the Council of the European Union recent conclusions on Health in All Policies we have to consider that everyday environments such as day-care centers, schools,workplaces,neighborhoods and the commute between them have significant effects on health and that health, in turn, has an effect on the economy by enabling active and productive participation in working life. In the past 20 years huge progress has been achieved in the epidemiological contest to define risks. Nowadays, it is known that a low cultural level lowers the capacity to respond to prevention, that elevated pollution levels do represent a health risk, and that the scarce social relationships that elderly people have in our society have strong consequences on their health and their quality of life.

  9. Gender inequalities in the workplace: the effects of organizational structures, processes, practices, and decision makers' sexism.

    Science.gov (United States)

    Stamarski, Cailin S; Son Hing, Leanne S

    2015-01-01

    Gender inequality in organizations is a complex phenomenon that can be seen in organizational structures, processes, and practices. For women, some of the most harmful gender inequalities are enacted within human resources (HRs) practices. This is because HR practices (i.e., policies, decision-making, and their enactment) affect the hiring, training, pay, and promotion of women. We propose a model of gender discrimination in HR that emphasizes the reciprocal nature of gender inequalities within organizations. We suggest that gender discrimination in HR-related decision-making and in the enactment of HR practices stems from gender inequalities in broader organizational structures, processes, and practices. This includes leadership, structure, strategy, culture, organizational climate, as well as HR policies. In addition, organizational decision makers' levels of sexism can affect their likelihood of making gender biased HR-related decisions and/or behaving in a sexist manner while enacting HR practices. Importantly, institutional discrimination in organizational structures, processes, and practices play a pre-eminent role because not only do they affect HR practices, they also provide a socializing context for organizational decision makers' levels of hostile and benevolent sexism. Although we portray gender inequality as a self-reinforcing system that can perpetuate discrimination, important levers for reducing discrimination are identified.

  10. Targeting Continuing Medical Education on Decision Makers: Who Decides to Transfuse Blood?

    Science.gov (United States)

    Goodnough, Lawrence T.; And Others

    1992-01-01

    Staff communication patterns were observed during 13 open-heart surgeries to identify the transfusion decision makers. It was determined that targeting decision makers for continuing medical education would improve the quality of transfusion practice and increase the efficiency of continuing education. (SK)

  11. A regret theory approach to decision curve analysis: A novel method for eliciting decision makers' preferences and decision-making

    Directory of Open Access Journals (Sweden)

    Vickers Andrew

    2010-09-01

    Full Text Available Abstract Background Decision curve analysis (DCA has been proposed as an alternative method for evaluation of diagnostic tests, prediction models, and molecular markers. However, DCA is based on expected utility theory, which has been routinely violated by decision makers. Decision-making is governed by intuition (system 1, and analytical, deliberative process (system 2, thus, rational decision-making should reflect both formal principles of rationality and intuition about good decisions. We use the cognitive emotion of regret to serve as a link between systems 1 and 2 and to reformulate DCA. Methods First, we analysed a classic decision tree describing three decision alternatives: treat, do not treat, and treat or no treat based on a predictive model. We then computed the expected regret for each of these alternatives as the difference between the utility of the action taken and the utility of the action that, in retrospect, should have been taken. For any pair of strategies, we measure the difference in net expected regret. Finally, we employ the concept of acceptable regret to identify the circumstances under which a potentially wrong strategy is tolerable to a decision-maker. Results We developed a novel dual visual analog scale to describe the relationship between regret associated with "omissions" (e.g. failure to treat vs. "commissions" (e.g. treating unnecessary and decision maker's preferences as expressed in terms of threshold probability. We then proved that the Net Expected Regret Difference, first presented in this paper, is equivalent to net benefits as described in the original DCA. Based on the concept of acceptable regret we identified the circumstances under which a decision maker tolerates a potentially wrong decision and expressed it in terms of probability of disease. Conclusions We present a novel method for eliciting decision maker's preferences and an alternative derivation of DCA based on regret theory. Our approach may

  12. A regret theory approach to decision curve analysis: a novel method for eliciting decision makers' preferences and decision-making.

    Science.gov (United States)

    Tsalatsanis, Athanasios; Hozo, Iztok; Vickers, Andrew; Djulbegovic, Benjamin

    2010-09-16

    Decision curve analysis (DCA) has been proposed as an alternative method for evaluation of diagnostic tests, prediction models, and molecular markers. However, DCA is based on expected utility theory, which has been routinely violated by decision makers. Decision-making is governed by intuition (system 1), and analytical, deliberative process (system 2), thus, rational decision-making should reflect both formal principles of rationality and intuition about good decisions. We use the cognitive emotion of regret to serve as a link between systems 1 and 2 and to reformulate DCA. First, we analysed a classic decision tree describing three decision alternatives: treat, do not treat, and treat or no treat based on a predictive model. We then computed the expected regret for each of these alternatives as the difference between the utility of the action taken and the utility of the action that, in retrospect, should have been taken. For any pair of strategies, we measure the difference in net expected regret. Finally, we employ the concept of acceptable regret to identify the circumstances under which a potentially wrong strategy is tolerable to a decision-maker. We developed a novel dual visual analog scale to describe the relationship between regret associated with "omissions" (e.g. failure to treat) vs. "commissions" (e.g. treating unnecessary) and decision maker's preferences as expressed in terms of threshold probability. We then proved that the Net Expected Regret Difference, first presented in this paper, is equivalent to net benefits as described in the original DCA. Based on the concept of acceptable regret we identified the circumstances under which a decision maker tolerates a potentially wrong decision and expressed it in terms of probability of disease. We present a novel method for eliciting decision maker's preferences and an alternative derivation of DCA based on regret theory. Our approach may be intuitively more appealing to a decision-maker, particularly

  13. What contributes to a technical purchasing decision maker's reliance on brand name for design decisions involving I&T products

    Science.gov (United States)

    Coutoumanos, Vincent

    The following research is intended to develop more formal mechanisms for collection, analysis, retention and dissemination of information relating to brand influence on high-technology products. Specifically, these high-technology products are associated with the engineering applications that likely would involve the loss of human life in the advent of catastrophic failure. The results of the study lead to an extension of theory involving marketing and product selection of "highly engineered" parts within the aerospace industry. The findings were separated into three distinct areas: 1) Information load will play a large role in the final design decision. If the designer is under a high level of information load during the time of a design decision, he or she likely will gravitate to the traditional design choice, regardless of the level of brand strength. 2) Even when strong brand names, like 3M, were offered as the non-traditional design choice, engineers gravitated to the traditional design choice that was presented in a mock Society for Manufacturing Engineers article. 3) Designer self-efficacy by itself will not often contribute to a decision maker's design choice. However, these data collected indicates that a combination of high designer self-efficacy moderated by high brand strength is likely to contribute significantly to a decision maker's decision. The post-hoc finding shows that many designers having high levels of self-efficacy could be developing a sense of comfort with strong brand names (like 3M) when making a design choice.

  14. Which criteria considered in healthcare decisions? Insights from an international survey of policy and clinical decision makers

    NARCIS (Netherlands)

    Tanios, Nataly; Wagner, Monika; Tony, Michele; Baltussen, Rob; van Til, Janine Astrid; Rindress, Donna; Kind, Paul; Goetghebeur, Mireille M.

    2013-01-01

    Objectives: The aim of this study was to gather qualitative and quantitative data on criteria considered by healthcare decision makers. Methods: Using snowball sampling and an online questionnaire with forty-three criteria organized into ten clusters, decision makers were invited by an international

  15. A Conceptual Framework for Defense Acquisition Decision Makers: Giving the Schedule its Due

    Science.gov (United States)

    2014-01-01

    JAN 2014 2. REPORT TYPE 3. DATES COVERED 00-00-2014 to 00-00-2014 4. TITLE AND SUBTITLE A Conceptual Framework for Defense Acquisition Decision...by ANSI Std Z39-18 A Conceptual Framework for Defense Acquisition Decision Makers: Giving the Schedule its Due « Image designed by Diane Fleischer... Conceptual Framework for Defense Acquisition Decision Makers: Giving the Schedule Its Due Chad Dacus and Col Stephen Hagel, USAF (Ret.) Conceptual

  16. Sustainable energy catalogue - for European decision-makers. Final report

    Energy Technology Data Exchange (ETDEWEB)

    Gram, S.; Jacobsen, Soeren

    2006-10-15

    The Green paper - A European Strategy for Sustainable, Competitive and Secure Energy, 2006 states that Europe has a rising dependency on imported energy reserves, which are concentrated in a few countries. The Rising gas and oil prices along with demands on lower emissions of CO2 adds pressure on the need for a new energy future for Europe. EU has since 1990 planned to become world leader in the renewable energy field. Therefore the EU member states have agreed that by 2010 21% of the consumed electricity and 5,75% of the consumed gasoline and diesel should originate from renewable energy sources. If the EU countries are to reach their goals, a commitment on several levels to develop and install energy from sustainable energy sources is needed. The purpose of this catalogue is to offer planners and decision-makers in EU states an inspirational tool to be used during local or regional transition towards sustainable energy technologies. The catalogue can also be used by everyone else who needs an overview of the sustainable energy technologies and their current development level and future potential, among others educational use is relevant. The catalogue provides an introduction to the following technologies that are already or are estimated to become central to a development with renewable energy in EU: Technologies for wind energy, wave energy, geothermal energy, bioenergy, solar energy, hydropower and fuel cells. The catalogue also includes a section about energy systems, which also includes a part about technologies for efficient use of energy. The catalogue could have included a few other technologies as e.g. heating pumps, but due to the size of the catalogue a priority was necessary. The catalogue does not claim to give all answers or to be complete regarding all details about the individual technologies; even so it offers information, which cannot easily be looked up on the Internet. In the back of the catalogue, under 'References and links' there

  17. Emodnet Med Sea Check-Point - Indicators for decision- maker

    Science.gov (United States)

    Besnard, Sophie; Claverie, Vincent; Blanc, Frédérique

    2015-04-01

    The Emodnet Checkpoint projects aim is to assess the cost-effectiveness, reliability and utility of the existing monitoring at the sea basin level. This involves the development of monitoring system indicators and a GIS Platform to perform the assessment and make it available. Assessment or production of Check-Point information is made by developing targeted products based on the monitoring data and determining whether the products are meeting the needs of industry and public authorities. Check-point users are the research community, the 'institutional' policy makers for IMP and MSFD implementation, the 'intermediate users', i.e., users capable to understand basic raw data but that benefit from seeing the Checkpoint targeted products and the assessment of the fitness for purpose. We define assessment criteria aimed to characterize/depict the input datasets in terms of 3 territories capable to show performance and gaps of the present monitoring system, appropriateness, availability and fitness for purpose. • Appropriateness: What is made available to users? What motivate/decide them to select this observation rather than this one. • Availability: How this is made available to the user? Place to understand the readiness and service performance of the EU infrastructure • Fitness for use / fitness for purpose: Ability for non-expert user to appreciate the data exploitability (feedback on efficiency & reliability of marine data) For each territory (appropriateness, Availability and Fitness for purpose / for use), we define several indicators. For example, for Availability we define Visibility, Accessibility and Performance. And Visibility is itself defined by "Easily found" and "EU service". So these indicators can be classified according to their territory and sub-territory as seen above, but also according to the complexity to build them. Indicators are built from raw descriptors in 3 stages:  Stage 1: to give a neutral and basic status directly computed from

  18. A Framework for Investigating Influence of Organizational Decision Makers on Data Mining Process Achievement

    Directory of Open Access Journals (Sweden)

    Hanieh Hajisafari

    2012-02-01

    Full Text Available Currently, few studies deal with evaluation of data mining plans in context of solvng organizational problems. A successful data miner is searching to solve a fully defined business problem. To make the data mining (DM results actionable, the data miner must explain them to the business insider. The interaction process between the business insiders and data miners is actually a knowledge-sharing process. In this study through representing a framwork, influence of organizational decision makers on data mining process and results investigated. By investigating research literature, the critical success factors of data mining plans was identified and the role of organizational decision makers in each step of data mining was investigated.‌ Then, the conceptual framework of influence of organizational decision makers on data mining process achievement was designed. By getting expert opinions, the proposed framework was analyzed and evantually designed the final framework of influence of organizational decision makers on data mining process achievement. Analysis of experts opinions showed that by knowledge sharing of data ming results with decision makers, "learning", "action or internalization" and "enforcing/unlearning" will become as critical success factors. Also, results of examining importance of decision makers' feedback on data mining steps showed that getting feedback from decision makers could have most influence on "knowledge extraction and representing model" step and least on "data cleaning and preprocessing" step.

  19. Learning environment simulator: a tool for local decision makers and first responders

    Energy Technology Data Exchange (ETDEWEB)

    Leclaire, Rene J [Los Alamos National Laboratory; Hirsch, Gary B [CLE, INCORPORATED

    2009-01-01

    The National Infrastructure Simulation and Analysis Center (NISAC) has developed a prototype learning environment simulator (LES) based on the Critical Infrastructure Protection Decision Support System (CIPDSS) infrastructure and scenario models. The LES is designed to engage decision makers at the grass-roots level (local/city/state) to deepen their understanding of an evolving crisis, enhance their intuition and allow them to test their own strategies for events before they occur. An initial version is being developed, centered on a pandemic influenza outbreak and has been successfully tested with a group of hospital administrators and first responders. LES is not a predictive tool but rather a simulated environment allowing the user to experience the complexities of a crisis before it happens. Users can contrast various approaches to the crisis, competing with alternative strategies of their own or other participants. LES is designed to assist decision makers in making informed choices by functionally representing relevant scenarios before they occur, including impacts to critical infrastructures with their interdependencies, and estimating human health & safety and economic impacts. In this paper a brief overview of the underlying models are given followed by a description of the LES, its interface and usage and an overview of the experience testing LES with a group of hospital administrators and first responders. The paper concludes with a brief discussion of the work remaining to make LES operational.

  20. Clustering Analysis of Black-start Decision-making with a Large Group of Decision-makers

    Institute of Scientific and Technical Information of China (English)

    2012-01-01

    The optimization of black start decisiommaking plays an important role in the rapid restoration of a power system after a major failure/outage. With the introduction of the concept of smart grids and the development of real-time communication networks, the black-start decision-makers are no longer limited to only one or a few power system experts such as dispatchers, but rather a large group of professional people in practice. The overall behaviors of a large decision-making group of decision-makers/experts are more complicated and unpredictable. However, the existing methods for black-start decision-making cannot handle the situations with a large group of decision-makers. Given this background, a clustering algorithm is presented to optimize the black-start decision-making problem with a large group of decision-makers. Group decision-making preferences are obtained by clustering analysis, and the final black-start decisiommaking results are achieved by combining the weights of black-start indexes and the preferences of the decision-making group. The effectiveness of the proposed method is validated by a practical case. This work extends the black-start decision-making problem to situations with a large group of decision-makers.

  1. Goal-Programming Model Based on the Utility Function of the Decision-maker

    Institute of Scientific and Technical Information of China (English)

    WANG Zhi-jiang

    2001-01-01

    Based on the analysis of the problems in traditional GP model, this paper provides the model with the utility function of the decision-maker and compares this model with the one presented in reference article [1].

  2. Issues in Distance Education: A Primer for Higher Education Decision Makers

    Science.gov (United States)

    Beaudoin, Michael

    2016-01-01

    This chapter presents an overview of current issues related to distance learning in higher education. It identifies central questions, issues, challenges, and opportunities that must be addressed by decision makers, as well as key attributes of effective leaders.

  3. Inconsistency of the judgement matrix in the AHP method and decision maker's knowledge

    CERN Document Server

    Szczypinska, Anna

    2008-01-01

    In this paper we propose a method of quantitative estimation of the decision maker's knowledge in the context of the Analytic Hierarchy Process (AHP) in case, when the judgement matrix is inconsistent. We show that the matrix of deviation from the transitivity condition corresponds to the rate matrix for transaction costs in the financial market. For the quantity estimation of the decision maker's professionalism we apply the Ising model and the thermodynamics tools.

  4. End-of-life decisions: a cross-national study of treatment preference discussions and surrogate decision-maker appointments.

    NARCIS (Netherlands)

    Evans, N.; Pasman, H.R.W.; Vega Alonso, T.; Block, L. van den; Miccinesi, G.; Viviane, V.C.; Donker, G.; Bertolissi, S.; Zurriaga, O.; Deliens, L.

    2013-01-01

    Aim: Making decisions in anticipation of possible future incapacity is part of patient participation in end-of-life decision-making. This study estimates and compares the prevalence of GP-patient end-of-life treatment preference discussions and appointments of surrogate decision-makers in Italy, Spa

  5. End-of-life decisions: a cross-national study of treatment preference discussions and surrogate decision-maker appointments.

    NARCIS (Netherlands)

    Evans, N.; Pasman, H.R.W.; Vega Alonso, T.; Block, L. van den; Miccinesi, G.; Viviane, V.C.; Donker, G.; Bertolissi, S.; Zurriaga, O.; Deliens, L.

    2013-01-01

    Aim: Making decisions in anticipation of possible future incapacity is part of patient participation in end-of-life decision-making. This study estimates and compares the prevalence of GP-patient end-of-life treatment preference discussions and appointments of surrogate decision-makers in Italy,

  6. Outsourced Investment Management: An Overview for Institutional Decision-Makers

    Science.gov (United States)

    Griswold, John S.; Jarvis, William F.

    2013-01-01

    Outsourcing of investment management is a growing trend among institutional investors. With a broad range of institutions using or exploring the outsourced chief investment officer (OCIO) model, portfolio size is no longer the determining factor driving the outsourcing decision. For all but the largest institutional investors--those with deep…

  7. Bridging the Gap: Tailor-made Information Products for Decision Makers

    Science.gov (United States)

    Mandler, B. E.; Rose, C. A.; Gonzales, L. M.; Boland, M. A.

    2016-12-01

    The American Geosciences Institute (AGI) is launching a new information platform designed to link decision makers with information generated by geoscientific research. Decision makers, especially those at the state and local level, frequently need scientific information but do not always have easy access to it, while scientists create new knowledge but often lack opportunities to communicate this knowledge more broadly to the people who need it the most. Major differences in communication styles and language can also hinder the use of scientific information by decision makers. AGI is building an online portfolio of case studies and fact sheets that are based on cutting-edge research presented in a format and style that meets the needs and expectations of decision makers. Based on discussions with state and local decision makers around the country, AGI has developed a template for these products. Scientists are invited to write short (500-700-word) summaries of their research and the ways in which it provides useful tools and information to decision makers. We are particularly interested in showcasing actionable information derived from basic or applied research. Researchers are encouraged to contact AGI to discuss topics that may be an appropriate basis for case studies or fact sheets, and AGI may also contact researchers based on scientific needs identified during our discussions with decision makers. All submissions will be edited and reviewed by AGI staff and an external peer review team before being published online and made available to decision makers through AGI's Critical Issues web platform and extensive professional networks. Publicizing the results of scientific research to key legislative, regulatory, advisory, and engaged citizen groups and individuals broadens the impact of scientists' research and highlights the value and importance of the geosciences to society. By presenting the information in a format that is designed with the end-user in mind

  8. Science in Society: Bridging the gap to connect science to decision makers

    Science.gov (United States)

    Jones, L.; Bwarie, J.; Pearce, I.

    2016-12-01

    The gap between science and decision making in our society can be large and multi-faceted, involving communication, process, cultural and even subconscious differences. In sweeping generalization, scientists reject anecdotes, focus on uncertainty and details, and expect conflict as part of the scientific process, while non-scientists respond to stories, want certainty and the big picture, and see conflict as a reason to reject the message. Bridging this gap often requires ongoing collaboration to find the intersection of three independent domains: what science can provide, the technical information decision makers need to make the most effective choices and what information decision makers need to motivate action. For ten years, the USGS has experimented with improving the usefulness of its science through the SAFRR (Science Application for Risk Reduction) Project and its predecessor, the Multi Hazards Demonstration Project in Southern California. Through leading and participating in these activities, we have recognized 3 steps that have been essential to successful partnerships between scientists and decision makers. First, determining what makes for a successful product cannot be done in isolation by either scientists or users. The users may want something science cannot produce (e.g., accurate short-term earthquake predictions), while the scientists can fail to see that the product they know how to make may not be relevant to the decisions that need to be made. Real discussions with real exchange and absorption of information on both sides makes for the most useful products. Second, most scientific results need work beyond what belongs in a journal to create a product that can be used. This is not just a different style of communication, but analyses that focus on the community's local questions rather than on scientific advances. Third, probabilities of natural hazards almost never motivate action to mitigate. The probabilities are usually low on human time

  9. Development of policies for Natura 2000 sites: a multi-criteria approach to support decision makers.

    Science.gov (United States)

    Cortina, Carla; Boggia, Antonio

    2014-08-01

    The aim of this study is to present a methodology to support decision makers in the choice of Natura 2000 sites needing an appropriate management plan to ensure a sustainable socio-economic development. In order to promote sustainable development in the Natura 2000 sites compatible with nature preservation, conservation measures or management plans are necessary. The main issue is to decide when only conservation measures can be applied and when the sites need an appropriate management plan. We present a case study for the Italian Region of Umbria. The methodology is based on a multi-criteria approach to identify the biodiversity index (BI), and on the development of a human activities index (HAI). By crossing the two indexes for each site on a Cartesian plane, four groups of sites were identified. Each group corresponds to a specific need for an appropriate management plan. Sites in the first group with a high level both of biodiversity and human activities have the most urgent need of an appropriate management plan to ensure sustainable development. The proposed methodology and analysis is replicable in other regions or countries by using the data available for each site in the Natura 2000 standard data form. A multi-criteria analysis is especially suitable for supporting decision makers when they deal with a multidimensional decision process. We found the multi-criteria approach particularly sound in this case, due to the concept of biodiversity itself, which is complex and multidimensional, and to the high number of alternatives (Natura 2000 sites) to be assessed.

  10. Combining communication technology utilization and organizational innovation: evidence from Canadian healthcare decision makers.

    Science.gov (United States)

    Jbilou, Jalila; Landry, Réjean; Amara, Nabil; El Adlouni, Salaheddine

    2009-08-01

    Information and Communication Technology (ICT) and Organizational Innovation (OI) are seen as the miracle of post-modernity in organizations. In this way, they are supposed to resolve most organizational problems, efficiently and rapidly. OI is highly dependent on the capacity and the investment in knowledge management (internal and external) to support decision making process and to implement significant changes. We know what explains ICT utilization (ICTU) and what determines OI development (OID) in healthcare services. Moreover, the literature tends to link ICTU to OID and vice versa. However, this dependency has never been explored empirically through the lens of roles combination. To identify the existing combined roles profiles of ICTU and OID among healthcare decision makers and determine factors of the shift from a profile to another. We did the following: (1) a structured review of the literature on healthcare management by focusing on ICTU and OID which allowed us to build two indexes and a comprehensive framework; (2) a copula methodology to identify with high precision the thresholds for ICTU and OID; and (3) a cross-sectional study based on a survey done with a sample of 942 decision makers from Canadian healthcare organizations through a multinomial logit model to identify determinants of the shift. ICTU and OID are correlated at 22% (Kendal's Tau). The joint distribution (combination) of ICTU and OID shows that four major profiles exist among decision makers in Canadian healthcare organizations: the traditional decision maker, the innovative decision maker, the technologic decision maker and the contemporary decision maker. We found out that classic factors act as barriers to the shift from one profile to the desired profile (from 1 to 4, from 2 to 4 and from 3 to 4). We have identified that the attitude toward research and relational capital are transversal barriers of shift. We have also found that some factors have a specific impact such as

  11. Decision-makers' Risk Perception in the Internationalisation of Small and Medium-Sized Firms

    DEFF Research Database (Denmark)

    Eduardsen, Jonas Strømfeldt; Marinova, Svetla Trifonova

    2016-01-01

    awareness exists, decision-makers do not perceive internationalisation as risky behaviour. Findings highlight the importance of decision-makers’ background, including cognitive and psychological characteristics, such as self-efficacy and locus of control, and their experiences in explaining risk perceptions...

  12. ELECTRE I Based Relevance Decision-Makers Feedback to the Location Selection of Distribution Centers

    Directory of Open Access Journals (Sweden)

    Maroi Agrebi

    2017-01-01

    Full Text Available The location selection of distribution centers is one of the important strategies to optimize the logistics system. To solve this problem, under certain environment, this paper presents a new multicriteria decision-making method based on ELECTRE I. The proposed method helps decision-makers to select the best location from a given set of locations for implementing. After having identified decision-makers, the criteria, and the set of locations, the factors influencing the selection are analyzed in order to identify the best location. A sensitivity analysis is then performed to determine the influence of criteria weights on the selection decision. The strength of the proposed method is to incorporate decision-makers’ preferences into the decision-making process. In addition, the proposed method considers both quantitative and qualitative criteria. Finally, the selected solution is validated by both tests of concordance and discordance simultaneously. A case study is provided to illustrate the proposed method.

  13. The Decision-Makers' Forum on a new paradigm for nuclear energy -- Final Report

    Energy Technology Data Exchange (ETDEWEB)

    Motloch, C.G.

    1998-09-14

    The Decision-Makers' Forum on a New Paradigm for Nuclear Energy was created in response to the challenge by Sen. Pete V. Domenici to begin, ``a new dialogue with serious discussion about the full range of nuclear technologies.'' Sponsored by the Senate Nuclear Issues Caucus, the Forum was organized and facilitated by the Idaho National Engineering and Environmental Laboratory. The participants were decision-makers and key staff from industry, government, the national laboratories, academia and professional societies. Overall, the Forum was designed to capture the ideas of a large number of decision-makers about the high priority actions recommended to help set a new national agenda for nuclear energy. The Forum recommended 10 priority actions toward this end.

  14. The Decision-Makers Forum on a new Paradigm for Nuclear Energy, Final Report

    Energy Technology Data Exchange (ETDEWEB)

    Motloch, Chester George

    1998-09-01

    The Decision-Makers' Forum on a New Paradigm for Nuclear Energy was created in response to the challenge by Sen. Pete V. Domenici to begin, "a new dialogue with serious discussion about the full range of nuclear technologies." Sponsored by the Senate Nuclear Issues Caucus, the Forum was organized and facilitated by the Idaho National Engineering and Environmental Laboratory. The participants were decision-makers and key staff from industry, government, the national laboratories, academia and professional societies. Overall, the Forum was designed to capture the ideas of a large number of decision-makers about the high priority actions recommended to help set a new national agenda for nuclear energy. The Forum recommended 10 priority actions toward this end.

  15. A Reward-Maximizing Spiking Neuron as a Bounded Rational Decision Maker.

    Science.gov (United States)

    Leibfried, Felix; Braun, Daniel A

    2015-08-01

    Rate distortion theory describes how to communicate relevant information most efficiently over a channel with limited capacity. One of the many applications of rate distortion theory is bounded rational decision making, where decision makers are modeled as information channels that transform sensory input into motor output under the constraint that their channel capacity is limited. Such a bounded rational decision maker can be thought to optimize an objective function that trades off the decision maker's utility or cumulative reward against the information processing cost measured by the mutual information between sensory input and motor output. In this study, we interpret a spiking neuron as a bounded rational decision maker that aims to maximize its expected reward under the computational constraint that the mutual information between the neuron's input and output is upper bounded. This abstract computational constraint translates into a penalization of the deviation between the neuron's instantaneous and average firing behavior. We derive a synaptic weight update rule for such a rate distortion optimizing neuron and show in simulations that the neuron efficiently extracts reward-relevant information from the input by trading off its synaptic strengths against the collected reward.

  16. Disease management in healthcare organizations: results of in-depth interviews with disease management decision makers.

    Science.gov (United States)

    Whellan, David J; Cohen, Elizabeth J; Matchar, David B; Califf, Robert M

    2002-07-01

    Despite the widening use of disease management (DM) programs throughout the country, little is understood about the "state of DM" in healthcare systems and managed care organizations. To better characterize the range of users of DM in healthcare and to identify critical issues, both present and future, for DM. Qualitative survey. Forty-seven healthcare systems (n = 22) and managed care organizations (n = 25) were randomly selected. Decision makers were identified and interviewed between January 1, 2000, and March 31, 2000. We limited quantitative analysis to tabulations of suitable responses, without statistical testing. Responses were organized around 3 themes: models for DM, implementation strategies, and measurements of success. Of 47 decision makers surveyed, 42 (89%) reported that their organizations currently have (75%) or are working to develop (14%) DM programs. Although the goals of DM programs were similar, organizations took a variety of approaches to achieving these ends. There were typically 3 steps in implementing a DM program: analysis of patient data, external analysis, and organizational analysis. Decision makers believed that DM programs had only achieved partial success in reaching the 2 main goals of improved quality of care and cost savings. Given the variety of DM programs, there is a need to develop a classification scheme to allow for better comparison between programs. Further quantitative studies of decision makers' opinions would be helpful in developing programs and in designing necessary studies of patient management strategies.

  17. Students as Rational Decision-Makers: The Question of Beliefs and Attitudes

    Science.gov (United States)

    Sullivan, Alice

    2006-01-01

    Rational choice theorists have analysed rates of participation in post-compulsory education, and, in particular, class differentials in these rates. Various claims have been made about the motivations of student decision-makers, but these claims have not been grounded empirically. This paper will assess the question of whether students' attitudes…

  18. Placing Handicapped Students in the Least Restrictive Environment: An Adapted Model for Decision Makers.

    Science.gov (United States)

    Makuch, Gary; And Others

    Intended for local school district personnel, the document suggests a model for assisting decision makers in placing handicapped students in the least restrictive environment (LRE). Basic considerations of a multidisciplinary team in determining the appropriate placement for the handicapped students are listed (including the nature and degree of…

  19. Information paradox of new product development: A case of decision-makers' focus of attention

    DEFF Research Database (Denmark)

    Jespersen, Kristina Risom

    Drawing on theory of bounded rationality and the attention-based view of the company, decision-makers' focus of attention is examined within the new product development process. Attention, defined as something which occupies individual consciousness, should be directed at selecting development...

  20. 38 CFR 53.10 - Decision makers, notifications, and additional information.

    Science.gov (United States)

    2010-07-01

    ... RETENTION OF NURSES AT STATE VETERANS HOMES § 53.10 Decision makers, notifications, and additional information. The Chief Consultant, Geriatrics and Extended Care, will make all determinations regarding..., notifications, and additional information. 53.10 Section 53.10 Pensions, Bonuses, and Veterans'...

  1. Decision Maker Perception of Information Quality: A Case Study of Military Command and Control

    Science.gov (United States)

    Morgan, Grayson B.

    2013-01-01

    Decision maker perception of information quality cues from an "information system" (IS) and the process which creates such meta cueing, or data about cues, is a critical yet un-modeled component of "situation awareness" (SA). Examples of common information quality meta cueing for quality criteria include custom ring-tones for…

  2. Reciprocal Dialogue between Educational Decision Makers and Students of Color: Opportunities and Obstacles

    Science.gov (United States)

    Bertrand, Melanie

    2014-01-01

    Purpose: This article explores the possibilities for reciprocal dialogue between educational decision makers and Students of Color. Such dialogue--defined as interactions in which participants build on each other's words--may provide the means to develop creative ways to address manifestations of systemic racism in education. The article uses…

  3. Ensuring Adequate Health and Safety Information for Decision Makers during Large-Scale Chemical Releases

    Science.gov (United States)

    Petropoulos, Z.; Clavin, C.; Zuckerman, B.

    2015-12-01

    The 2014 4-Methylcyclohexanemethanol (MCHM) spill in the Elk River of West Virginia highlighted existing gaps in emergency planning for, and response to, large-scale chemical releases in the United States. The Emergency Planning and Community Right-to-Know Act requires that facilities with hazardous substances provide Material Safety Data Sheets (MSDSs), which contain health and safety information on the hazardous substances. The MSDS produced by Eastman Chemical Company, the manufacturer of MCHM, listed "no data available" for various human toxicity subcategories, such as reproductive toxicity and carcinogenicity. As a result of incomplete toxicity data, the public and media received conflicting messages on the safety of the contaminated water from government officials, industry, and the public health community. Two days after the governor lifted the ban on water use, the health department partially retracted the ban by warning pregnant women to continue avoiding the contaminated water, which the Centers for Disease Control and Prevention deemed safe three weeks later. The response in West Virginia represents a failure in risk communication and calls to question if government officials have sufficient information to support evidence-based decisions during future incidents. Research capabilities, like the National Science Foundation RAPID funding, can provide a solution to some of the data gaps, such as information on environmental fate in the case of the MCHM spill. In order to inform policy discussions on this issue, a methodology for assessing the outcomes of RAPID and similar National Institutes of Health grants in the context of emergency response is employed to examine the efficacy of research-based capabilities in enhancing public health decision making capacity. The results of this assessment highlight potential roles rapid scientific research can fill in ensuring adequate health and safety data is readily available for decision makers during large

  4. Getting ocean acidification on decision makers' to-do lists: dissecting the process through case studies

    Science.gov (United States)

    Cooley, Sarah R.; Jewett, Elizabeth B.; Reichert, Julie; Robbins, Lisa L.; Shrestha, Gyami; Wieczorek, Dan; Weisberg, Stephen B.

    2015-01-01

    Much of the detailed, incremental knowledge being generated by current scientific research on ocean acidification (OA) does not directly address the needs of decision makers, who are asking broad questions such as: Where will OA harm marine resources next? When will this happen? Who will be affected? And how much will it cost? In this review, we use a series of mainly US-based case studies to explore the needs of local to international-scale groups that are making decisions to address OA concerns. Decisions concerning OA have been made most naturally and easily when information needs were clearly defined and closely aligned with science outputs and initiatives. For decisions requiring more complex information, the process slows dramatically. Decision making about OA is greatly aided (1) when a mixture of specialists participates, including scientists, resource users and managers, and policy and law makers; (2) when goals can be clearly agreed upon at the beginning of the process; (3) when mixed groups of specialists plan and create translational documents explaining the likely outcomes of policy decisions on ecosystems and natural resources; (4) when regional work on OA fits into an existing set of priorities concerning climate or water quality; and (5) when decision making can be reviewed and enhanced.

  5. Climate science information needs among natural resource decision-makers in the Northwest US

    Directory of Open Access Journals (Sweden)

    Elizabeth Allen

    2017-01-01

    Full Text Available Managing water resources, air quality, forests, rangelands and agricultural systems in the context of climate change requires a new level of integrated knowledge. In order to articulate a role for university-based research teams as providers of climate services, this paper analyzes environmental change concerns and expectations about climate models among natural resources decision-makers in the Northwest US. Data were collected during a series of workshops organized by researchers from BioEarth, a regional earth systems modeling initiative. Eighty-three stakeholders from industry, government agencies and non-governmental organizations engaged with a team of academic researchers developing integrated biophysical and economic climate modeling tools. Analysis of transcripts of workshop discussions, surveys, and questionnaires reveals diverse attitudes among stakeholders about: 1 preferred modes of engaging in climate science research, 2 specific concerns and questions about climate change impacts, and 3 the most relevant and usable scope and scale of climate change impacts projections. Diverse concerns and information needs among natural resource decision-makers highlight the need for research teams to define clear and precise goals for stakeholder engagement. Utilizing the skills of research team members who have communication and extension expertise is pivotally important. We suggest impactful opportunities for research teams and natural resource decision-makers to interface and learn from one another. Effective approaches include structuring group discussions to identify gaps in existing climate change impacts information, explicitly considering changing policies, technologies and management practices, and exploring possible unintended consequences of decisions.

  6. An analytical framework to assist decision makers in the use of forest ecosystem model predictions

    Science.gov (United States)

    Larocque, Guy R.; Bhatti, Jagtar S.; Ascough, J.C.; Liu, J.; Luckai, N.; Mailly, D.; Archambault, L.; Gordon, Andrew M.

    2011-01-01

    The predictions from most forest ecosystem models originate from deterministic simulations. However, few evaluation exercises for model outputs are performed by either model developers or users. This issue has important consequences for decision makers using these models to develop natural resource management policies, as they cannot evaluate the extent to which predictions stemming from the simulation of alternative management scenarios may result in significant environmental or economic differences. Various numerical methods, such as sensitivity/uncertainty analyses, or bootstrap methods, may be used to evaluate models and the errors associated with their outputs. However, the application of each of these methods carries unique challenges which decision makers do not necessarily understand; guidance is required when interpreting the output generated from each model. This paper proposes a decision flow chart in the form of an analytical framework to help decision makers apply, in an orderly fashion, different steps involved in examining the model outputs. The analytical framework is discussed with regard to the definition of problems and objectives and includes the following topics: model selection, identification of alternatives, modelling tasks and selecting alternatives for developing policy or implementing management scenarios. Its application is illustrated using an on-going exercise in developing silvicultural guidelines for a forest management enterprise in Ontario, Canada.

  7. Decision makers' experiences of prioritisation and views about how to finance healthcare costs.

    Science.gov (United States)

    Werntoft, Elisabet; Edberg, Anna-Karin

    2009-10-01

    Prioritisation in healthcare is an issue of growing importance due to scarcity of resources. The aims of this study were firstly to describe decision makers' experience of prioritisation and their views concerning willingness to pay and how to finance healthcare costs. An additional aim was to compare the views of politicians and physicians. The study was a cross-sectional study based on a questionnaire administered to 700 Swedish politicians and physicians. This was analysed using both quantitative and qualitative methods. A majority of the decision makers (55%) suggested that increasing costs should be financed through higher taxation but more physicians than politicians thought that higher patient fees, private health insurance and a reduction in social expenditure were better alternatives. Prioritisation aroused anxiety; politicians were afraid of displeasing voters while physicians were afraid of making medically incorrect decisions. This study do not answer the question about how to make prioritisation in health care but the result highlights the different ways that the decision makers view the subject and thereby elicit that publicly elected politicians and physicians perhaps not always work with the same goal ahead. There are needs for more research but also more media focus on the subject so the citizens will be aware and take part in the debate.

  8. Decision maker views on priority setting in the Vancouver Island Health Authority

    Directory of Open Access Journals (Sweden)

    Mitton Craig

    2008-07-01

    Full Text Available Abstract Background Decisions regarding the allocation of available resources are a source of growing dissatisfaction for healthcare decision-makers. This dissatisfaction has led to increased interest in research on evidence-based resource allocation processes. An emerging area of interest has been the empirical analysis of the characteristics of existing and desired priority setting processes from the perspective of decision-makers. Methods We conducted in-depth, face-to-face interviews with 18 senior managers and medical directors with the Vancouver Island Health Authority, an integrated health care provider in British Columbia responsible for a population of approximately 730,000. Interviews were transcribed and content-analyzed, and major themes and sub-themes were identified and reported. Results Respondents identified nine key features of a desirable priority setting process: inclusion of baseline assessment, use of best evidence, clarity, consistency, clear and measurable criteria, dissemination of information, fair representation, alignment with the strategic direction and evaluation of results. Existing priority setting processes were found to be lacking on most of these desired features. In addition, respondents identified and explicated several factors that influence resource allocation, including political considerations and organizational culture and capacity. Conclusion This study makes a contribution to a growing body of knowledge which provides the type of contextual evidence that is required if priority setting processes are to be used successfully by health care decision-makers.

  9. Priority setting in the provincial health services authority: survey of key decision makers

    Directory of Open Access Journals (Sweden)

    Mitton Craig

    2007-06-01

    Full Text Available Abstract Background In recent years, decision makers in Canada and elsewhere have expressed a desire for more explicit, evidence-based approaches to priority setting. To achieve this aim within health care organizations, knowledge of both the organizational context and stakeholder attitudes towards priority setting are required. The current work adds to a limited yet growing body of international literature describing priority setting practices in health organizations. Methods A qualitative study was conducted using in-depth, face-to-face interviews with 25 key decision makers of the Provincial Health Services Authority (PHSA of British Columbia. Major themes and sub-themes were identified through content analysis. Results Priorities were described by decision makers as being set in an ad hoc manner, with resources generally allocated along historical lines. Participants identified the Strategic Plan and a strong research base as strengths of the organization. The main areas for improvement were a desire to have a more transparent process for priority setting, a need to develop a culture which supports explicit priority setting, and a focus on fairness in decision making. Barriers to an explicit allocation process included the challenge of providing specialized services for disparate patient groups, and a lack of formal training in priority setting amongst decision makers. Conclusion This study identified factors important to understanding organizational context and informed next steps for explicit priority setting for a provincial health authority. While the PHSA is unique in its organizational structure in Canada, lessons about priority setting should be transferable to other contexts.

  10. Ethical challenges related to elder care. High level decision-makers' experiences

    Directory of Open Access Journals (Sweden)

    Kihlgren Mona

    2007-04-01

    Full Text Available Abstract Background Few empirical studies have been found that explore ethical challenges among persons in high public positions that are responsible for elder care. The aim of this paper was to illuminate the meaning of being in ethically difficult situations related to elder care as experienced by high level decision-makers. Methods A phenomenological-hermeneutic method was used to analyse the eighteen interviews conducted with political and civil servant high level decision-makers at the municipality and county council level from two counties in Sweden. The participants worked at a planning and control as well as executive level and had both budget and quality of elder care responsibilities. Results Both ethical dilemmas and the meaning of being in ethically difficult situations related to elder care were revealed. No differences were seen between the politicians and the civil servants. The ethical dilemmas mostly concerned dealings with extensive care needs and working with a limited budget. The dilemmas were associated with a lack of good care and a lack of agreement concerning care such as vulnerable patients in inappropriate care settings, weaknesses in medical support, dissimilar focuses between the caring systems, justness in the distribution of care and deficient information. Being in ethically difficult situations was challenging. Associated with them were experiences of being exposed, having to be strategic and living with feelings such as aloneness and loneliness, uncertainty, lack of confirmation, the risk of being threatened or becoming a scapegoat and difficult decision avoidance. Conclusion Our paper provides further insight into the ethical dilemmas and ethical challenges met by high level decision-makers', which is important since the overall responsibility for elder care that is also ethically defensible rests with them. They have power and their decisions affect many stakeholders in elder care. Our results can be used to

  11. How can research organizations more effectively transfer research knowledge to decision makers?

    Science.gov (United States)

    Lavis, John N; Robertson, Dave; Woodside, Jennifer M; McLeod, Christopher B; Abelson, Julia

    2003-01-01

    Five questions--What should be transferred to decision makers? To whom should it be transferred? By whom? How? With what effect?--provide an organizing framework for a knowledge transfer strategy. Opportunities for improving how research organizations transfer research knowledge can be found in the differences between the answers suggested by our understanding of the research literature and those provided by research-organization directors asked to describe what they do. In Canada, these opportunities include developing actionable messages for decision makers (only 30 percent of research organizations frequently or always do this), developing knowledge-uptake skills in target audiences and knowledge-transfer skills in research organizations (only 20 to 22 percent frequently or always do this), and evaluating the impact of knowledge-transfer activities (only 8 to 12 percent frequently or always conduct an evaluation). Research funders can help research organizations take advantage of these opportunities.

  12. Economic evaluation databases as an aid to healthcare decision makers and researchers.

    Science.gov (United States)

    Aguiar-Ibáñez, Raquel; Nixon, John; Glanville, Julie; Craig, Dawn; Rice, Stephen; Christie, James; Drummond, Michael F

    2005-12-01

    Economic evaluation databases have been developed to assist in setting priorities and facilitating research within the healthcare sector. This paper presents an overview of the major databases of economic evaluations currently available (HEED, NHS EED, the CEA Registry, CODECS, PEDE, EURONHEED and JEED). It describes the key features of each database and the main user groups. It also presents evidence of the value of access to economic evaluation databases, particularly for the researchers and decision makers who form their main target audience. The research available shows that both decision makers and researchers find economic evaluation databases helpful as a source of information. However, database producers may also need to better understand the requirements of their users and consider adaptations to their products.

  13. HEURISTIC OPTIMIZATION OF NATURAL PRODUCTION INVENTORY MODELS WITH THE PREFERENCE OF A DECISION MAKER

    OpenAIRE

    CHIH HSUN HSIEH

    2008-01-01

    In this paper, two natural production inventory models based on fuzzy total production inventory cost with the preference of a decision maker are introduced, and combined by natural number parameters in which values are linguistic values in natural language, crisp real number variables, and fuzzy number variables. These are the one natural production inventory model for crisp production quantity, and the other natural production inventory model for fuzzy production quantity. The natural arith...

  14. Energizing Government Decision-Makers with the Facts on Solar Technology, Policy, and Integration

    Energy Technology Data Exchange (ETDEWEB)

    2017-01-01

    The Solar Technical Assistance Team (STAT) is a network of solar technology and implementation experts who provide timely, unbiased expertise to assist policymakers and regulators in making informed decisions about solar programs and policies. Government officials can submit requests directly to the STAT for technical assistance. STAT then partners with experts in solar policy, regulation, finance, technology, and other areas to deliver accurate, up-to-date information to state and local decision makers. The STAT responds to requests on a wide range of issues -- including, but not limited to, feed-in tariffs, renewable portfolio standards, rate design, program design, workforce and economic impacts of solar on jurisdictions, and project financing.

  15. Bridging the Gap between NASA Earth Observations and Decision Makers through the NASA DEVELOP National Program

    Science.gov (United States)

    Favors, J. E.; Childs-Gleason, L. M.; Ross, K. W.; Rogers, L.; Allsbrook, K. N.; Ruiz, M. L.; Miller, T. N.; Crepps, G.

    2015-12-01

    The NASA DEVELOP National Program bridges the gap between NASA Earth Science and society by building capacity in both participants and partner organizations who collaborate to conduct projects. These rapid feasibility projects highlight the capabilities of satellite and aerial Earth observations to enhance decision making on a local level. DEVELOP partners with a wide variety of organizations, including state and local governments, federal agencies, regional entities, tribal governments, international organizations and governments, NGOs and private companies. Immersion of decision and policy makers in these feasibility projects increases awareness of the capabilities of Earth observations, and contributes to the tools and resources available to support enhanced decision making. This presentation will highlight best practices, feedback from project end-users, and case studies of successful adoption of methods in the decision making process.

  16. Mapping of multiple criteria for priority setting of health interventions: an aid for decision makers

    Directory of Open Access Journals (Sweden)

    Tromp Noor

    2012-12-01

    Full Text Available Abstract Background In rationing decisions in health, many criteria like costs, effectiveness, equity and feasibility concerns play a role. These criteria stem from different disciplines that all aim to inform health care rationing decisions, but a single underlying concept that incorporates all criteria does not yet exist. Therefore, we aim to develop a conceptual mapping of criteria, based on the World Health Organization’s Health Systems Performance and Health Systems Building Blocks frameworks. This map can be an aid to decision makers to identify the relevant criteria for priority setting in their specific context. Methods We made an inventory of all possible criteria for priority setting on the basis of literature review. We categorized the criteria according to both health system frameworks that spell out a country’s health system goals and input. We reason that the criteria that decision makers use in priority setting exercises are a direct manifestation of this. Results Our map includes thirty-one criteria that are distributed among five categories that reflect the goals of a health system (i.e. to improve level of health, fair distribution of health, responsiveness, social & financial risk protection and efficiency and leadership/governance one category that reflects feasibiliy based on the health system building blocks (i.e. service delivery, health care workforce , information, medical products, vaccines & technologies, financing and. Conclusions This conceptual mapping of criteria, based on well-established health system frameworks, will further develop the field of priority setting by assisting decision makers in the identification of multiple criteria for selection of health interventions.

  17. An Assessment of Family Planning Decision Makers' and Advocates' Needs and Strategies in Three East African Countries.

    Science.gov (United States)

    Smith, Ellen; Musila, Ruth; Murunga, Violet; Godbole, Ramona

    2015-09-01

    Despite decades of evidence-based advocacy for family planning in developing countries, research on how decision makers perceive and respond to such efforts is lacking. A literature review yielded 10 peer-reviewed journal articles published between 1999 and 2012 on decision makers' needs for and experiences with health advocacy and evidence. Two sets of questions about family planning research and advocacy-one for decision makers and another for advocates-were developed from emerging themes and used in structured interviews with 68 key informants in Ethiopia, Kenya and Malawi. Decision makers reported understanding family planning's value and confirmed that advocacy had helped to spur recent favorable shifts in government support of family planning. Key informants stressed that advocacy messages and formats must be tailored to the needs and interests of particular audiences to be effective. Messages must also consider barriers to decision makers' support for family planning: constituents' negative attitudes; fear that increased adherence to family planning will shrink the size and influence of specific voting blocs and ethnic groups; and competing economic, social, cultural, religious and political priorities. Decision makers reported valuing the contributions of international family planning organizations and donors, but were more comfortable receiving advocacy messages from local sources. According to decision makers, sustained and strategic family planning advocacy developed and delivered by culturally attuned national actors, with support from international actors, can diminish barriers to government support for family planning.

  18. An approach for Web service selection based on confidence level of decision maker.

    Science.gov (United States)

    Khezrian, Mojtaba; Jahan, Ali; Kadir, Wan Mohd Nasir Wan; Ibrahim, Suhaimi

    2014-01-01

    Web services today are among the most widely used groups for Service Oriented Architecture (SOA). Service selection is one of the most significant current discussions in SOA, which evaluates discovered services and chooses the best candidate from them. Although a majority of service selection techniques apply Quality of Service (QoS), the behaviour of QoS-based service selection leads to service selection problems in Multi-Criteria Decision Making (MCDM). In the existing works, the confidence level of decision makers is neglected and does not consider their expertise in assessing Web services. In this paper, we employ the VIKOR (VIšekriterijumskoKOmpromisnoRangiranje) method, which is absent in the literature for service selection, but is well-known in other research. We propose a QoS-based approach that deals with service selection by applying VIKOR with improvement of features. This research determines the weights of criteria based on user preference and accounts for the confidence level of decision makers. The proposed approach is illustrated by an example in order to demonstrate and validate the model. The results of this research may facilitate service consumers to attain a more efficient decision when selecting the appropriate service.

  19. EDUCATION MANAGEMENT DECISION-MAKERS IN EUROPEAN PRE – UNIVERSITY EDUCATION

    Directory of Open Access Journals (Sweden)

    DUMITRAȘCU DANUȚ DUMITRU

    2012-12-01

    Full Text Available EDUCATION MANAGEMENT DECISION-MAKERS IN EUROPEAN PRE – UNIVERSITY EDUCATION Ana Tuºa, 1 Affiliation , “Lucian Blaga” University of Sibiu, Faculty of Economics, Department of management Claudiu Sorin Voinia 2 , Affiliation, “Lucian Blaga” University of Sibiu Faculty of Engineering, Department of Industrial Engineering Dãnuþ Dumitru Dumitraºcu 3 Affiliation, “Lucian Blaga” University of Sibiu, Faculty of Economics, Department of management The theme paper consists in a comparative analysis of European preuniveristary education decision makers. Decision makers in preuniversity education management remain the key issue in the political agenda of most European countries. The diversity of educational policies in each European country aims to increase school autonomy, in a way that allows comparison of their main elements of management. Scientific research carried out aimed both theoretical and practical terms: - comparative analysis of how the makers of European schools are responsible for the management practiced in the educational institution. - identification of the achievement of school autonomy. Lately, in terms of policy makers and school autonomy, schools have gone through many reforms. It was felt the need to improve the democratic management and the quality of the educational process. The analysis and the approaches differ in terms of pace of reform, scale transfer of authority and areas that apply. No approach can be chosen as the ideal one or more effective than others, because the contexts in which they were made are so diverse. However, as it moves along, educational policy makers can learn from the approaches and experiences of others. The methodology was based on: the study of scientific literature from the country and abroad, on the theory and practice regarding the decision in the management of school education activities. Comparative analysis was conducted based on questionnaires

  20. Bridging the Gap Between NASA Earth Observations and Decision Makers Through the NASA Develop National Program

    Science.gov (United States)

    Remillard, C. M.; Madden, M.; Favors, J.; Childs-Gleason, L.; Ross, K. W.; Rogers, L.; Ruiz, M. L.

    2016-06-01

    The NASA DEVELOP National Program bridges the gap between NASA Earth Science and society by building capacity in both participants and partner organizations that collaborate to conduct projects. These rapid feasibility projects highlight the capabilities of satellite and aerial Earth observations. Immersion of decision and policy makers in these feasibility projects increases awareness of the capabilities of Earth observations and contributes to the tools and resources available to support enhanced decision making. This paper will present the DEVELOP model, best practices, and two case studies, the Colombia Ecological Forecasting project and the Miami-Dade County Ecological Forecasting project, that showcase the successful adoption of tools and methods for decision making. Through over 90 projects each year, DEVELOP is always striving for the innovative, practical, and beneficial use of NASA Earth science data.

  1. Use of modified Delphi to plan knowledge translation for decision makers: an application in the field of advanced practice nursing.

    Science.gov (United States)

    Carter, Nancy; Lavis, John N; MacDonald-Rencz, Sandra

    2014-01-01

    Disseminating research to decision makers is difficult. Interaction between researchers and decision makers can identify key messages and processes for dissemination. To gain agreement on the key findings from a synthesis on the integration of advanced practice nurses, we used a modified Delphi process. Nursing decision makers contributed ideas via e-mail, discussed and clarified ideas face to face, and then prioritized statements. Sixteen (89%) participated and 14 (77%) completed the final phase. Priority key messages were around access to care and outcomes. The majority identified "NPs increase access to care" and "NPs and CNSs improve patient and system outcomes" as priority messaging statements. Participants agreed policy makers and the public were target audiences for messages. Consulting with policy makers provided the necessary context to develop tailored policy messages and is a helpful approach for research dissemination.

  2. Effective Decision Maker-Scientist Engagement:Climate Change Vulnerability Analysis of California's Water System to Using Decision Scaling.

    Science.gov (United States)

    Schwarz, A. M.; Ray, P.; Brown, C.; Wi, S.

    2016-12-01

    For nearly 2 years the California Department of Water Resources (CDWR) has been working with the University of Massachusetts Amherst (UMass) to evaluate climate change vulnerabilities to the California State Water Project. Working cooperatively, the team has developed tools and methods to employ a decision scaling approach to CDWR's existing water system model (CalSim-II/CalLite 3.0). This presentation will discuss how and why this partnership came to be, the co-production model the team has developed to share expertise, the new understanding of the system that has been gained through the process, and current and future efforts to influence planning and investments based on the findings of the work. This cooperative decision-maker-with-scientist engagement is unique in that CDWR has not outsourced the application of the science to their systems, and instead has worked directly with UMass researchers to develop the process, produce results, and interpret findings. Further, CDWR staff has worked with UMass researchers to present results in ways that are more useable and actionable for decision-makers. As will be shown, many of these graphics allow the team to use the science differently to improve decision making.

  3. Decision-Makers As Messengers Of Climate Change Impacts And Ambassadors For Their Communities.

    Science.gov (United States)

    Boudrias, M. A.; DeBenedict, C.; Bruce, L.; Estrada, M.; Hedge, N.; Silva-Send, N. J.

    2016-12-01

    Over the past several years there have been many coordinated efforts to improve climate change literacy of diverse audiences. The challenge has been to balance science content with audience-specific messaging with a goal to reach solutions and build community resilience. In the San Diego Region, Climate Education Partners (CEP) has been working with business leaders, elected officials, tribal leaders, and other community leaders to develop a suite of programs and activities to enhance the channels of communication outside traditional settings. CEP has employed a multidisciplinary approach that integrates climate science, social and learning sciences and effective communication strategies to create innovative resources and new approaches to climate change communication in order to engage audiences more effectively. We have interviewed over 140 key San Diego leaders and invited them to serve as ambassadors to the project by engaging them directly in the creation of a variety of innovative educational resources as well as serving as spokespersons for outreach activities. Our program has evolved from having only scientists, educators and community practitioners serve as presenters to strategically and deliberately engaging a mix of scientists, educators and decision makers as the conveyers of key messages. Our protocol for events includes preparing all speakers in advance, researching our audience, creating a script, immediate debriefs of each activity and a qualitative and quantitative assessment of each event. Two examples of this integrated approach will show how to engage decision-makers more deeply: (1) coastal flooding tour as a place-based activity and (2) impact videos that blend climate science, local personal stories and key messages from decision makers themselves. For climate change communication to be successful in the future, we will need creative and coordinated approaches.

  4. Solution to multiple attribute group decision making problems with two decision makers

    Institute of Scientific and Technical Information of China (English)

    Fangwei Zhang; Wei Wang; Xuedong Hua

    2015-01-01

    A kind of multiple attribute group decision making (MAGDM) problem is discussed from the perspective of statistic decision-making. Firstly, on the basis of the stability theory, a new idea is proposed to solve this kind of problem. Secondly, a con-crete method corresponding to this kind of problem is proposed. The main tool of our research is the technique of the jackknife method. The main advantage of the new method is that it can identify and determine the reliability degree of the existed decision making information. Final y, a traffic engineering example is given to show the effectiveness of the new method.

  5. Voice in political decision-making: the effect of group voice on perceived trustworthiness of decision makers and subsequent acceptance of decisions.

    Science.gov (United States)

    Terwel, Bart W; Harinck, Fieke; Ellemers, Naomi; Daamen, Dancker D L

    2010-06-01

    The implementation of carbon dioxide capture and storage technology (CCS) is considered an important climate change mitigation strategy, but the viability of this technology will depend on public acceptance of CCS policy decisions. The results of three experiments with students as participants show that whether or not interest groups receive an opportunity to express their opinions in the decision-making process (i.e., group voice) affects acceptance of CCS policy decisions, with inferred trustworthiness of the decision maker mediating this effect. Decision-making procedures providing different interest groups with equal opportunities to voice their opinions instigate more trust in the decision maker and, in turn, lead to greater willingness to accept decisions compared to no-voice procedures (i.e., unilateral decision-making-Study 1) and unequal group-voice procedures (i.e., when one type of interest group receives voice, but another type of interest group does not-Study 2). Study 3 further shows that an individual's own level of knowledge about CCS moderates the desire for an opportunity for members of the general public to voice opinions in the decision-making process, inferred trustworthiness of decision makers, and policy acceptance. These results imply that people care about voice in decision-making even when they are not directly personally involved in the decision-making process. We conclude that people tend to use procedural information when deciding to accept or oppose policy decisions on political complex issues; hence, it is important that policymakers use fair group-voice procedures and that they communicate to the public how they arrive at their decisions. PsycINFO Database Record (c) 2010 APA, all rights reserved.

  6. Economic assessment of flood forecasts for a risk-averse decision-maker

    Science.gov (United States)

    Matte, Simon; Boucher, Marie-Amélie; Boucher, Vincent; Fortier-Filion, Thomas-Charles

    2017-04-01

    A large effort has been made over the past 10 years to promote the operational use of probabilistic or ensemble streamflow forecasts. It has also been suggested in past studies that ensemble forecasts might possess a greater economic value than deterministic forecasts. However, the vast majority of recent hydro-economic literature is based on the cost-loss ratio framework, which might be appealing for its simplicity and intuitiveness. One important drawback of the cost-loss ratio is that it implicitly assumes a risk-neutral decision maker. By definition, a risk-neutral individual is indifferent to forecasts' sharpness: as long as forecasts agree with observations on average, the risk-neutral individual is satisfied. A risk-averse individual, however, is sensitive to the level of precision (sharpness) of forecasts. This person is willing to pay to increase his or her certainty about future events. In fact, this is how insurance companies operate: the probability of seeing one's house burn down is relatively low, so the expected cost related to such event is also low. However, people are willing to buy insurance to avoid the risk, however small, of loosing everything. Similarly, in a context where people's safety and property is at stake, the typical decision maker is more risk-averse than risk-neutral. Consequently, the cost-loss ratio is not the most appropriate tool to assess the economic value of flood forecasts. This presentation describes a more realistic framework for assessing the economic value of such forecasts for flood mitigation purposes. Borrowing from economics, the Constant Absolute Risk Aversion utility function (CARA) is the central tool of this new framework. Utility functions allow explicitly accounting for the level of risk aversion of the decision maker and fully exploiting the information related to ensemble forecasts' uncertainty. Three concurrent ensemble streamflow forecasting systems are compared in terms of quality (comparison with

  7. Advisory Committee: A Powerful Tool for Helping Decision Makers inEnvironmental Issues

    Science.gov (United States)

    Vasseur; Lafrance; Ansseau; Renaud; Morin; Audet

    1997-05-01

    / It has been suggested that the general public should be moreinvolved in environmental policy and decision making. It is important forthem to realize that they will have to live with the consequences ofenvironmental policies and decisions. Consequently, policy makers shouldconsider the concerns and opinions of the general public before makingdecisions on environmental issues. This raises questions such as: How can weintegrate the perceptions and reactions of the general population inenvironmental decisions? What kind of public participation should weconsider? In the present study, using a new regional ecosystem model, weattempted to integrate these aspects in its decision making model byincluding the formation of an advisory committee to resolve problems relatedto waste management. The advisory committee requested the activeparticipation of representatives from all levels of the community: economic,municipal, and governmental intervenors; environmental groups; and citizens.Their mandates were to examine different management strategies available inthe region, considering all the interdisciplinary aspects of each strategy,elaborate recommendations concerning the management strategies that are mostsuitable for all, and collaborate in communication of the information to thegeneral population. The results showed that at least in small municipalitiessuch an advisory committee can be a powerful tool in environmental decisionmaking. Conditions required for a successful consultation process, such aseveryday lay language and the presence of a facilitator other than ascientific expert, are discussed.KEY WORDS: Public consultation; Environmental policies;Interdisciplinary aspects; Municipal sewage sludge management; Generalpopulation; Decision-making process

  8. Charting a path forward: building AGU's capacity to help foster scientist-decision maker engagement

    Science.gov (United States)

    Vano, J. A.; Behar, D. H.; Mote, P.; Ferguson, D. B.; Pandya, R.

    2016-12-01

    Most research proposals, papers, and presentation abstracts begin with the motivation that the new science presented will benefit society. Behind this, beyond making good on the promises to get funding, is a sincere effort to contribute our knowledge and talent to build a better (safer, sustainable, more resilient) world. For this to happen, however, the science needs to be connected to people in communities who make decisions. While this happens in a variety of ways, often for research to be most useful to society, engagement with decision makers should occur at the beginning and throughout the research process. Increasingly this is being recognized as important, as evidenced by the growing number of boundary organizations (e.g., U.S. Department of the Interior's Climate Science Centers, NOAA's Regional Integrated Sciences and Assessment programs). Even within AGU, in recent years there has been a number of new activities and networks that suggest a growing community of practice for those doing work at the science-society interface (e.g., The Thriving Earth Exchange, the Water and Society Technical Committee in the Hydrology Section). In this presentation, we highlight what these activities are and share insights from those involved. We evaluate trends (e.g., have the number of abstracts on this topic increased?) and present responses from AGU members to questions on where this community of practice should go next (e.g., What is the most important task the AGU community should do to improve decision maker-scientist engagement?). The goal of this presentation is to promote a conversation about how the AGU community can be better prepared to foster engagement with decision makers that will lead to more actionable science. This will help us ensure our science is useful to society, fulfilling our motivations, and arguably responsibilities, both individually and as a community. It will also serve to prepare new scientists for a broader range of careers beyond

  9. Computerized clinical decision support systems for chronic disease management: a decision-maker-researcher partnership systematic review.

    Science.gov (United States)

    Roshanov, Pavel S; Misra, Shikha; Gerstein, Hertzel C; Garg, Amit X; Sebaldt, Rolf J; Mackay, Jean A; Weise-Kelly, Lorraine; Navarro, Tamara; Wilczynski, Nancy L; Haynes, R Brian

    2011-08-03

    The use of computerized clinical decision support systems (CCDSSs) may improve chronic disease management, which requires recurrent visits to multiple health professionals, ongoing disease and treatment monitoring, and patient behavior modification. The objective of this review was to determine if CCDSSs improve the processes of chronic care (such as diagnosis, treatment, and monitoring of disease) and associated patient outcomes (such as effects on biomarkers and clinical exacerbations). We conducted a decision-maker-researcher partnership systematic review. We searched MEDLINE, EMBASE, Ovid's EBM Reviews database, Inspec, and reference lists for potentially eligible articles published up to January 2010. We included randomized controlled trials that compared the use of CCDSSs to usual practice or non-CCDSS controls. Trials were eligible if at least one component of the CCDSS was designed to support chronic disease management. We considered studies 'positive' if they showed a statistically significant improvement in at least 50% of relevant outcomes. Of 55 included trials, 87% (n = 48) measured system impact on the process of care and 52% (n = 25) of those demonstrated statistically significant improvements. Sixty-five percent (36/55) of trials measured impact on, typically, non-major (surrogate) patient outcomes, and 31% (n = 11) of those demonstrated benefits. Factors of interest to decision makers, such as cost, user satisfaction, system interface and feature sets, unique design and deployment characteristics, and effects on user workflow were rarely investigated or reported. A small majority (just over half) of CCDSSs improved care processes in chronic disease management and some improved patient health. Policy makers, healthcare administrators, and practitioners should be aware that the evidence of CCDSS effectiveness is limited, especially with respect to the small number and size of studies measuring patient outcomes.

  10. Computerized clinical decision support systems for chronic disease management: A decision-maker-researcher partnership systematic review

    Directory of Open Access Journals (Sweden)

    Navarro Tamara

    2011-08-01

    Full Text Available Abstract Background The use of computerized clinical decision support systems (CCDSSs may improve chronic disease management, which requires recurrent visits to multiple health professionals, ongoing disease and treatment monitoring, and patient behavior modification. The objective of this review was to determine if CCDSSs improve the processes of chronic care (such as diagnosis, treatment, and monitoring of disease and associated patient outcomes (such as effects on biomarkers and clinical exacerbations. Methods We conducted a decision-maker-researcher partnership systematic review. We searched MEDLINE, EMBASE, Ovid's EBM Reviews database, Inspec, and reference lists for potentially eligible articles published up to January 2010. We included randomized controlled trials that compared the use of CCDSSs to usual practice or non-CCDSS controls. Trials were eligible if at least one component of the CCDSS was designed to support chronic disease management. We considered studies 'positive' if they showed a statistically significant improvement in at least 50% of relevant outcomes. Results Of 55 included trials, 87% (n = 48 measured system impact on the process of care and 52% (n = 25 of those demonstrated statistically significant improvements. Sixty-five percent (36/55 of trials measured impact on, typically, non-major (surrogate patient outcomes, and 31% (n = 11 of those demonstrated benefits. Factors of interest to decision makers, such as cost, user satisfaction, system interface and feature sets, unique design and deployment characteristics, and effects on user workflow were rarely investigated or reported. Conclusions A small majority (just over half of CCDSSs improved care processes in chronic disease management and some improved patient health. Policy makers, healthcare administrators, and practitioners should be aware that the evidence of CCDSS effectiveness is limited, especially with respect to the small number and size of studies

  11. Information transfer: what do decision makers want and need from researchers?

    Directory of Open Access Journals (Sweden)

    Law Mary

    2007-07-01

    Full Text Available Abstract Purpose The purpose of this study was to undertake a systematic assessment of the need for research-based information by decision-makers working in community-based organizations. It is part of a more comprehensive knowledge transfer and exchange strategy that seeks to understand both the content required and the format/methods by which such information should be presented. Methods This was a cross-sectional telephone survey. Questions covered current practices, research use, and demographic information, as well as preferences for receiving research information. Three types of organizations participated: Children's Treatment Centres of Ontario (CTCs; Ontario Community Care Access Centres (CCACs; and District Health Councils (DHCs. The analysis used descriptive statistics and analyses of variance (ANOVA to describe and explore variations across organizations. Results The participation rate was 70%. The highest perception of barriers to the use of research information was reported by the CCAC respondents, followed by CTCs and DHCs. The CTCs and DHCs reported greater use of research evidence in planning decisions as compared to the CCACs. Four sources of information transfer were consistently identified. These were websites, health-related research journals, electronic mail, and conferences and workshops. Preferred formats for receiving information were executive summaries, abstracts, and original articles. Conclusion There were a number of similarities across organization type with respect to perceived barriers to research transfer, as well as the types of activities the organizations engaged in to promote research use in decision-making. These findings support the importance of developing interactive, collaborative knowledge transfer strategies, as well as the need to foster relationships with health care decision-makers, practitioners and policymakers.

  12. "Interventions for Promoting Research Knowledge Translation: Selection and Grading of Research Projects for Decision Makers"

    Directory of Open Access Journals (Sweden)

    Saharnaz Nedjat

    2009-05-01

    Full Text Available "nResearch-based knowledge transfer is considered an important principle in health. The status of knowledge transfer was studied in earlier studies and accordingly certain interventions were designed on the basis of its weaknesses. The idea was to design an algorithm for selection of research projects which are legible for knowledge transfer."nUsing literature review, grading of research projects was examined for its design and methodology. A decision was then made on the method of grading projects using relevant expert opinions. In the next stage, considering the validity of the aforementioned grading, and contextual examination, an algorithm was designed to define the method of selecting projects and their result transfer."nSince articles usually don't convey all the research findings, and don't reach decision makers on time, article writing doesn't seem sufficient for knowledge transfer. It is therefore necessary to adopt a mechanism that will convey valid research findings to target audiences. The algorithm presented in this article will help research authorities systematically decide about selecting research projects for knowledge transfer. Evaluation of this intervention was suggested for future researches. The results of this study can be beneficial to research policy makers in the university.

  13. NPD gate decision criteria: A consequence of strategic orientation or decision-maker expertise

    DEFF Research Database (Denmark)

    Søndergaard, Helle Alsted; Jespersen, Kristina Risom

    All NPD projects are evaluated at some point of time during the course of the process. These evaluations require the use criteria for deciding whether to carry on or 'kill' the project. The focus of this paper is on the origin of decision criteria and what determines the prioritisation of various...

  14. A Proposed Computer-Assisted Decision Making System for the Hellenic Navy Decision Makers

    Science.gov (United States)

    1987-03-01

    creates and sustains a corporate moral code. It appears that nations with a long history, especially of fighting defensive wars, are’ more likely to...experiences and needs of the potential adopters. An idea that is not comnatible with the prevalent values and norms of a cultural and social Estem will...Decision Support Systems, ed: \\V. C. House, Petrocelli Books, New YorK/Princeton, 1983. " Corporate war rooms pluginto the computer," Business Week, August

  15. Establishing the connection between crowd-sourced data and decision makers

    Science.gov (United States)

    Paxton, L. J.; Swartz, W.; Strong, S. B.; Nix, M. G.; Schaefer, R. K.; Weiss, M.

    2014-12-01

    There are many challenges in using, developing, and ensuring the viability of crowd-sourced data. Establishing and maintaining relevance is one of them but each participant in the challenge has different criteria for relevance. Consider, for example, the collection of data using smart phones. Some participants just like to contribute to something they consider good for the community. How do you engender that commitment? This becomes especially problematic when an additional sensor may need to be added to the smart phone. Certainly the humanitarian-egalitarian may be willing to "buy-in" but what value does it hold for the entrepreneurial-individualist? Another challenge is that of the crowd-sourced data themselves. Most readily available apps collect only one kind of data. The frontier lies in not only aggregating the data from those devices but in fusing the data with other data types (e.g. satellite imagery, installed sensors, radars, etc.). Doing this requires resources and the establishment and negotiation of data rights, how data are valued, how data are used, and the model used for support of the process (e.g. profit-driven, communal, scientific, etc.). In this talk we will discuss a few problems that we have looked at wherein distributed sensor networks provide potential value, data fusion is a "value multiplier" of those crowd-sourced data and how we make that connection to decision makers. We have explored active decision making through our Global Assimilation of Information for Action project (see our old website http://gaia.jhuapl.edu) and the use of "serious games" to establish affinities and illuminate opportunities and issues. We assert that the field of dreams approach ("build it and they will come") is not a sufficiently robust approach; the decision-makers (or paying customers) must be involved in the process of defining the data system products and quantifying the value proposition for their clients.

  16. End-of-life decisions: a cross-national study of treatment preference discussions and surrogate decision-maker appointments.

    Directory of Open Access Journals (Sweden)

    Natalie Evans

    Full Text Available BACKGROUND: Making treatment decisions in anticipation of possible future incapacity is an important part of patient participation in end-of-life decision-making. This study estimates and compares the prevalence of GP-patient end-of-life treatment discussions and patients' appointment of surrogate decision-makers in Italy, Spain, Belgium and the Netherlands and examines associated factors. METHODS: A cross-sectional, retrospective survey was conducted with representative GP networks in four countries. GPs recorded the health and care characteristics in the last three months of life of 4,396 patients who died non-suddenly. Prevalences were estimated and logistic regressions were used to examine between country differences and country-specific associated patient and care factors. RESULTS: GP-patient discussion of treatment preferences occurred for 10%, 7%, 25% and 47% of Italian, Spanish, Belgian and of Dutch patients respectively. Furthermore, 6%, 5%, 16% and 29% of Italian, Spanish, Belgian and Dutch patients had a surrogate decision-maker. Despite some country-specific differences, previous GP-patient discussion of primary diagnosis, more frequent GP contact, GP provision of palliative care, the importance of palliative care as a treatment aim and place of death were positively associated with preference discussions or surrogate appointments. A diagnosis of dementia was negatively associated with preference discussions and surrogate appointments. CONCLUSIONS: The study revealed a higher prevalence of treatment preference discussions and surrogate appointments in the two northern compared to the two southern European countries. Factors associated with preference discussions and surrogate appointments suggest that delaying diagnosis discussions impedes anticipatory planning, whereas early preference discussions, particularly for dementia patients, and the provision of palliative care encourage participation.

  17. Interpreting Climate Model Projections of Extreme Weather Events for Decision Makers

    Science.gov (United States)

    Vavrus, S. J.; Notaro, M.

    2014-12-01

    The proliferation of output from climate model ensembles, such as CMIP3 and CMIP5, has greatly expanded access to future projections, but there is no accepted blueprint for how this data should be interpreted. Decision makers are thus faced with difficult questions when trying to utilize such information: How reliable are the multi-model mean projections? How should the changes simulated by outlier models be treated? How can raw projections of temperature and precipitation be translated into probabilities? The multi-model average is often regarded as the most accurate single estimate of future conditions, but higher-order moments representing the variance and skewness of the distribution of projections provide important information about uncertainty. We have analyzed a set of statistically downscaled climate model projections from the CMIP3 archive to conduct an assessment of extreme weather events at a level designed to be relevant for decision makers. Our analysis uses the distribution of 13 GCM projections to derive the inter-model standard deviation (and coefficient of variation, COV), skewness, and percentile ranges for simulated changes in extreme heat, cold, and precipitation during the middle and late 21st century for the A1B emissions scenario. These metrics help to establish the overall confidence level across the entire range of projections (via the inter-model COV), relative confidence in the simulated high-end versus low-end changes (via skewness), and probabilistic uncertainty bounds derived from a bootstrapping technique. Over our analysis domain centered on the United States Midwest, some primary findings include: (1) Greater confidence in projections of less extreme cold than more extreme heat and intense precipitation, (2) Greater confidence in the low-end than high-end projections of extreme heat, and (3) Higher spatial and temporal variability in the confidence of projected increases of heavy precipitation. In addition, our bootstrapping

  18. Is economic valuation of ecosystem services useful to decision-makers? Lessons learned from Australian coastal and marine management.

    Science.gov (United States)

    Marre, Jean-Baptiste; Thébaud, Olivier; Pascoe, Sean; Jennings, Sarah; Boncoeur, Jean; Coglan, Louisa

    2016-08-01

    Economic valuation of ecosystem services is widely advocated as being useful to support ecosystem management decision-making. However, the extent to which it is actually used or considered useful in decision-making is poorly documented. This literature blindspot is explored with an application to coastal and marine ecosystems management in Australia. Based on a nation-wide survey of eighty-eight decision-makers representing a diversity of management organizations, the perceived usefulness and level of use of economic valuation of ecosystem services, in support of coastal and marine management, are examined. A large majority of decision-makers are found to be familiar with economic valuation and consider it useful - even necessary - in decision-making, although this varies across groups of decision-makers. However, most decision-makers never or rarely use economic valuation. The perceived level of importance and trust in estimated dollar values differ across ecosystem services, and are especially high for values that relate to commercial activities. A number of factors are also found to influence respondent's use of economic valuation. Such findings concur with conclusions from other studies on the usefulness and use of ESV in environmental management decision-making. They also demonstrate the strength of the survey-based approach developed in this application to examine this issue in a variety of contexts.

  19. The Ecological Model Web Concept: A Consultative Infrastructure for Decision Makers and Researchers

    Science.gov (United States)

    Geller, G.; Nativi, S.

    2011-12-01

    Rapid climate and socioeconomic changes may be outrunning society's ability to understand, predict, and respond to change effectively. Decision makers want better information about what these changes will be and how various resources will be affected, while researchers want better understanding of the components and processes of ecological systems, how they interact, and how they respond to change. Although there are many excellent models in ecology and related disciplines, there is only limited coordination among them, and accessible, openly shared models or model systems that can be consulted to gain insight on important ecological questions or assist with decision-making are rare. A "consultative infrastructure" that increased access to and sharing of models and model outputs would benefit decision makers, researchers, as well as modelers. Of course, envisioning such an ambitious system is much easier than building it, but several complementary approaches exist that could contribute. The one discussed here is called the Model Web. This is a concept for an open-ended system of interoperable computer models and databases based on making models and their outputs available as services ("model as a service"). Initially, it might consist of a core of several models from which it could grow gradually as new models or databases were added. However, a model web would not be a monolithic, rigidly planned and built system--instead, like the World Wide Web, it would grow largely organically, with limited central control, within a framework of broad goals and data exchange standards. One difference from the WWW is that a model web is much harder to create, and has more pitfalls, and thus is a long term vision. However, technology, science, observations, and models have advanced enough so that parts of an ecological model web can be built and utilized now, forming a framework for gradual growth as well as a broadly accessible infrastructure. Ultimately, the value of a model

  20. Anxious Individuals Are Impulsive Decision-Makers in the Delay Discounting Task: An ERP Study.

    Science.gov (United States)

    Xia, Lisheng; Gu, Ruolei; Zhang, Dandan; Luo, Yuejia

    2017-01-01

    Impulsivity, which is linked to a wide range of psychiatric disorders, is often characterized by a preference for immediate but smaller rewards over delayed but larger rewards. However, debate exists on the relationship between anxiety and impulsivity. Here we use event-related potential (ERP) components as biomarkers in the temporal discounting task to examine the effect of anxiety on inter-temporal decision-making. Our behavioral results indicated that the high trait anxiety (HTA) group made significantly more immediate choices than the low trait anxiety (LTA) group. Compared with the LTA group, shorter response time was associated with immediate rewards in the HTA group. Furthermore, previous studies have demonstrated three ERP components that are associated with impulsivity and/or delay discounting. First, the N1 is an early sensory component involved in selective attention and attention processing for goal-directed actions. Second, the reward positivity (RewP) reflects reward-related dopaminergic activity and encodes reward values. Third, the P3 is regarded as a measure of motivational significance in the decision-making literature. Accordingly, this study found in the immediate-option-evoked ERPs that the HTA group had a larger N1 than the LTA group did. For the delayed-option-evoked ERPs, the HTA group had larger N1 and RewP for the immediate choice than the LTA group did, while the LTA group had a larger P3 for the delayed choice than the HTA group did. These results support the notion that anxiety individuals are impulsive decision-makers in the Delay Discounting Task.

  1. Anxious Individuals Are Impulsive Decision-Makers in the Delay Discounting Task: An ERP Study

    Science.gov (United States)

    Xia, Lisheng; Gu, Ruolei; Zhang, Dandan; Luo, Yuejia

    2017-01-01

    Impulsivity, which is linked to a wide range of psychiatric disorders, is often characterized by a preference for immediate but smaller rewards over delayed but larger rewards. However, debate exists on the relationship between anxiety and impulsivity. Here we use event-related potential (ERP) components as biomarkers in the temporal discounting task to examine the effect of anxiety on inter-temporal decision-making. Our behavioral results indicated that the high trait anxiety (HTA) group made significantly more immediate choices than the low trait anxiety (LTA) group. Compared with the LTA group, shorter response time was associated with immediate rewards in the HTA group. Furthermore, previous studies have demonstrated three ERP components that are associated with impulsivity and/or delay discounting. First, the N1 is an early sensory component involved in selective attention and attention processing for goal-directed actions. Second, the reward positivity (RewP) reflects reward-related dopaminergic activity and encodes reward values. Third, the P3 is regarded as a measure of motivational significance in the decision-making literature. Accordingly, this study found in the immediate-option-evoked ERPs that the HTA group had a larger N1 than the LTA group did. For the delayed-option-evoked ERPs, the HTA group had larger N1 and RewP for the immediate choice than the LTA group did, while the LTA group had a larger P3 for the delayed choice than the HTA group did. These results support the notion that anxiety individuals are impulsive decision-makers in the Delay Discounting Task. PMID:28174528

  2. How to Reach Decision Makers: Build a network of educators and practitioners with common goals

    Science.gov (United States)

    Boudrias, M. A.; Estrada, M.; Anders, S.; Silva-Send, N. J.; Gershunov, A.

    2013-12-01

    In San Diego County, the Climate Education Partners (CEP) includes climate scientists, science educators, behavioral scientists, environmental practitioners and community organizations that are dedicated to providing local decision makers (elected officials, business leaders, community leaders) with sound climate science learning opportunities and resources that promote informed decision making. Their work over the past three years has found that effective climate education programs are designed for specific audiences with tailored information that is relevant to them, while simultaneously building community efficacy, identity and values. An integrated approach that blends rigorous scientific facts, local climate change impact, and social science education theory is contributing towards the development of a cadre of engaged leaders and communities. To track project progress and to inform the project strategy, local Key Influentials are being interviewed to gauge their current understanding of climate change and their interest in either becoming messengers to their community or becoming the portal to their constituency. Innovation comes from productive collaboration. For this reason, CEP has been working with leading scientists (climatologists, hydrologists, meteorologists, ecologists), environmental groups, museums and zoos, media experts and government agencies (Water Authority, CalFire) to develop and refine a program of learning activities and resources geared specifically for Key Influentials. For example, a water tour has been designed to bring 25 key influential leaders in San Diego County to a dam, a pumping station and a reservoir and provide climate change facts, impacts and potential solutions to the critical issue of water supply for the San Diego Region. While learning local facts about the causes and impacts of climate change, participants also learn about what they can do (increasing efficacy), that they can be a part of a solution centered community

  3. Procuring Stationary Fuel Cells For CHP: A Guide for Federal Facility Decision Makers

    Energy Technology Data Exchange (ETDEWEB)

    Stinton, David P [ORNL; McGervey, Joseph [SRA International, Inc.; Curran, Scott [ORNL

    2011-11-01

    Federal agency leaders are expressing growing interest in using innovative fuel cell combined heat and power (CHP) technology at their sites, motivated by both executive branch sustainability targets and a desire to lead by example in the transition to a clean energy economy. Fuel cell CHP can deliver reliable electricity and heat with 70% to 85% efficiency. Implementing this technology can be a high efficiency, clean energy solution for agencies striving to meet ambitious sustainability requirements with limited budgets. Fuel cell CHP systems can use natural gas or renewable fuels, such as biogas. Procuring Stationary Fuel Cells for CHP: A Guide for Federal Facility Decision Makers presents an overview of the process for planning and implementing a fuel cell CHP project in a concise, step-by-step format. This guide is designed to help agency leaders turn their interest in fuel cell technology into successful installations. This guide concentrates on larger (100 kW and greater) fuel cell CHP systems and does not consider other fuel cell applications such as cars, forklifts, backup power supplies or small generators (<100 kW). Because fuel cell technologies are rapidly evolving and have high up front costs, their deployment poses unique challenges. The electrical and thermal output of the CHP system must be integrated with the building s energy systems. Innovative financing mechanisms allow agencies to make a make versus buy decision to maximize savings. This guide outlines methods that federal agencies may use to procure fuel cell CHP systems with little or no capital investment. Each agency and division, however, has its own set of procurement procedures. This guide was written as a starting point, and it defers to the reader s set of rules if differences exist. The fuel cell industry is maturing, and project developers are gaining experience in working with federal agencies. Technology improvements, cost reductions, and experienced project developers are making

  4. Doubt and belief in physicians' ability to prognosticate during critical illness: the perspective of surrogate decision makers.

    Science.gov (United States)

    Zier, Lucas S; Burack, Jeffrey H; Micco, Guy; Chipman, Anne K; Frank, James A; Luce, John M; White, Douglas B

    2008-08-01

    Although discussing a prognosis is a duty of physicians caring for critically ill patients, little is known about surrogate decision-makers' beliefs about physicians' ability to prognosticate. We sought to determine: 1) surrogates' beliefs about whether physicians can accurately prognosticate for critically ill patients; and 2) how individuals use prognostic information in their role as surrogate decision-makers. Multicenter study in intensive care units of a public hospital, a tertiary care hospital, and a veterans' hospital. We conducted semistructured interviews with 50 surrogate decision-makers of critically ill patients. We analyzed the interview transcripts using grounded theory methods to inductively develop a framework to describe surrogates' beliefs about physicians' ability to prognosticate. Validation methods included triangulation by multidisciplinary analysis and member checking. Overall, 88% (44 of 50) of surrogates expressed doubt about physicians' ability to prognosticate for critically ill patients. Four distinct themes emerged that explained surrogates' doubts about prognostic accuracy: a belief that God could alter the course of the illness, a belief that predicting the future is inherently uncertain, prior experiences where physicians' prognostications were inaccurate, and experiences with prognostication during the patient's intensive care unit stay. Participants also identified several factors that led to belief in physicians' prognostications, such as receiving similar prognostic estimates from multiple physicians and prior experiences with accurate prognostication. Surrogates' doubts about prognostic accuracy did not prevent them from wanting prognostic information. Instead, most surrogate decision-makers view physicians' prognostications as rough estimates that are valuable in informing decisions, but are not determinative. Surrogates identified the act of prognostic disclosure as a key step in preparing emotionally and practically for the

  5. New challenges for seismology and decision makers after L'Aquila trial

    Science.gov (United States)

    Marzocchi, Warner

    2013-04-01

    On 22 October seven experts who attended a Major Risk Committee meeting were sentenced to six years in prison on charges of manslaughter for underestimating the risk before the devastating 6.3-magnitude earthquake that struck the hillside city of L'Aquila on 6 April 2009, which caused more than 300 deaths. The earthquake followed a sequence of seismic events that started at the beginning of the year, with the largest shock - a 4.2-magnitude earthquake - occurring on 30 March. A day later, the seven experts met in L'Aquila; the minutes of the meeting, which were released after the quake, contained three main conclusions: that earthquakes are not predictable in a deterministic sense; that the L'Aquila region has the highest seismic hazard in Italy; and that the occurrence of a large earthquake in the short term was unlikely. There is not doubt that this trial will represent an important turning point for seismologists, and more in general for scientists who serve as advisors for public safety purposes. Here, starting from the analysis of the accusations made by the prosecutor and a detailed scientific appraisal of what happened, we try to figure out how seismology can evolve in order to be more effective in protecting people, and (possibly) avoiding accusations like the ones who characterize the L'Aquila trial. In particular, we discuss (i) the principles of the Operational Earthquake Forecasting that were put forward by an international Commission on Earthquake Forecasting (ICEF) nominated after L'Aquila earthquake, (ii) the ICEF recommendations for Civil Protection, and (iii) the recent developments in this field in Italy. Finally, we also explore the interface between scientists and decision makers, in particular in the framework of making decisions in a low probability environment.

  6. Computerized clinical decision support systems for drug prescribing and management: a decision-maker-researcher partnership systematic review.

    Science.gov (United States)

    Hemens, Brian J; Holbrook, Anne; Tonkin, Marita; Mackay, Jean A; Weise-Kelly, Lorraine; Navarro, Tamara; Wilczynski, Nancy L; Haynes, R Brian

    2011-08-03

    Computerized clinical decision support systems (CCDSSs) for drug therapy management are designed to promote safe and effective medication use. Evidence documenting the effectiveness of CCDSSs for improving drug therapy is necessary for informed adoption decisions. The objective of this review was to systematically review randomized controlled trials assessing the effects of CCDSSs for drug therapy management on process of care and patient outcomes. We also sought to identify system and study characteristics that predicted benefit. We conducted a decision-maker-researcher partnership systematic review. We updated our earlier reviews (1998, 2005) by searching MEDLINE, EMBASE, EBM Reviews, Inspec, and other databases, and consulting reference lists through January 2010. Authors of 82% of included studies confirmed or supplemented extracted data. We included only randomized controlled trials that evaluated the effect on process of care or patient outcomes of a CCDSS for drug therapy management compared to care provided without a CCDSS. A study was considered to have a positive effect (i.e., CCDSS showed improvement) if at least 50% of the relevant study outcomes were statistically significantly positive. Sixty-five studies met our inclusion criteria, including 41 new studies since our previous review. Methodological quality was generally high and unchanged with time. CCDSSs improved process of care performance in 37 of the 59 studies assessing this type of outcome (64%, 57% of all studies). Twenty-nine trials assessed patient outcomes, of which six trials (21%, 9% of all trials) reported improvements. CCDSSs inconsistently improved process of care measures and seldomly improved patient outcomes. Lack of clear patient benefit and lack of data on harms and costs preclude a recommendation to adopt CCDSSs for drug therapy management.

  7. Scenarios use to engage scientists and decision-makers in a changing Arctic

    Science.gov (United States)

    Lee, O. A.; Eicken, H.; Payne, J. F.

    2015-12-01

    Scenarios provide a framework to develop more adaptive Arctic policies that allow decision makers to consider the best available science to address complex relationships and key uncertainties in drivers of change. These drivers may encompass biophysical factors such as climate change, socioeconomic drivers, and wild-cards that represent low likelihood but influential events such as major environmental disasters. We outline some of the lessons learned from the North Slope Science Initiative (NSSI) scenarios project that could help in the development of adaptive science-based policies. Three spatially explicit development scenarios were identified corresponding to low, medium and high resource extraction activities on the North Slope and adjacent seas. In the case of the high energy development scenario science needs were focused on new technology, oil spill response, and the effects of offshore activities on marine mammals important for subsistence. Science needs related to community culture, erosion, permafrost degradation and hunting and trapping on land were also identified for all three scenarios. The NSSI science needs will guide recommendations for future observing efforts, and data from these observing activities could subsequently improve policy guidance for emergency response, subsistence management and other issues. Scenarios at pan-Arctic scales may help improve the development of international policies for resilient northern communities and encourage the use of science to reduce uncertainties in plans for adapting to change in the Arctic.

  8. Engagement Between Decision Makers and the Research Community in Califonria'a Climate Assessments

    Science.gov (United States)

    Bedsworth, L. W.; Franco, G.; Wilhelm, S.; DeLaRosa, J.

    2016-12-01

    The State of California has been supporting the development of regional climate change science for more than two decades. The engagement between the scientific community in California and State agencies has been strong, and supported by multiple formalized relationships. For example, research results have informed state climate policy formulation such as the passage of AB32, a law that requires the State to bring GHG emissions to 1990 levels by 2020, and three Bills on climate adaptation that became law late in 2015. Scientific research has also been used for long-term planning of state resources such as the Forestry Plan, the Water Plan, and the Integrated Energy Policy Report. The Climate Action Team Research Working Group meets monthly to coordinate climate-related research activities supported by more than 20 state agencies and is the steering committee for the next California Climate Assessment that will be released in 2018. The State is co-producing the research commissioned for the 2018 Assessment in various ways, including the identification of research projects, the integration of more than 50 research studies, and active participation during execution of the research. The presentation will discuss the State's successes in linking decision-makers and the scientific community as well as challenges and potential ways to enhance these linkages.

  9. Knowledge gaps regarding APN roles: what hospital decision-makers tell us.

    Science.gov (United States)

    Carter, Nancy; Dobbins, Maureen; Ireland, Sandra; Hoxby, Heather; Peachey, Gladys; DiCenso, Alba

    2013-12-01

    The implementation of advanced practice nursing (APN) roles can yield improvements in patient and health system outcomes, and supportive leadership is integral in facilitating the implementation of such roles. The purpose of this study was to explore the awareness and understanding of APN roles among hospital decision-makers, and to learn about the information they require and the ways in which they prefer to receive that information. Fifteen administrators and leaders from two multi-site acute care organizations were interviewed. Their practical knowledge of APN roles was based on experience developing the roles or working with APNs in hospital programs. The most common sources of APN information were internal contacts (i.e., APNs) and documents from nursing organizations. Participants reported difficulty distinguishing between the roles of nurse practitioners (NPs) and clinical nurse specialists (CNSs), and identified knowledge regarding CNS roles as their greatest need. They required specific information regarding the "value-added" benefits offered by an APN role. Strategies to address the knowledge gaps of healthcare leaders are urgently needed in order to support the implementation of new APN roles and to sustain existing ones.

  10. Perspectives of Women Decision-Makers Over the Participation and Recreational Events in Sports: A Turkish Perspective

    Science.gov (United States)

    Guzel, Pinar

    2015-01-01

    The purpose of this research is to put forth the role of the leisure and recreation events awareness including women decision-makers effects on their fellow women. Three main themes were recognized: Past; "Process of leisure and recreation events of women in Turkey", Present; "Model of Turkey for women on leisure and…

  11. Evaluation of an Interactive Workshop Designed to Teach Practical Welfare Techniques to Beef Cattle Caretakers and Decision Makers

    Science.gov (United States)

    Dewell, Reneé; Hanthorn, Christy; Danielson, Jared; Burzette, Rebecca; Coetzee, Johann; Griffin, D. Dee; Ramirez, Alejandro; Dewell, Grant

    2015-01-01

    The purpose of the project was to evaluate the use of an interactive workshop designed to teach novel practical welfare techniques to beef cattle caretakers and decision makers. Following training, respondents reported being more likely to use or recommend use of local anesthesia for dehorning and castration and were more inclined to use meloxicam…

  12. The Current Mind-Set of Federal Information Security Decision-Makers on the Value of Governance: An Informative Study

    Science.gov (United States)

    Stroup, Jay Walter

    2014-01-01

    Understanding the mind-set or perceptions of organizational leaders and decision-makers is important to ascertaining the trends and priorities in policy and governance of the organization. This study finds that a significant shift in the mind-set of government IT and information security leaders has started and will likely result in placing a…

  13. Evaluation of an Interactive Workshop Designed to Teach Practical Welfare Techniques to Beef Cattle Caretakers and Decision Makers

    Science.gov (United States)

    Dewell, Reneé; Hanthorn, Christy; Danielson, Jared; Burzette, Rebecca; Coetzee, Johann; Griffin, D. Dee; Ramirez, Alejandro; Dewell, Grant

    2015-01-01

    The purpose of the project was to evaluate the use of an interactive workshop designed to teach novel practical welfare techniques to beef cattle caretakers and decision makers. Following training, respondents reported being more likely to use or recommend use of local anesthesia for dehorning and castration and were more inclined to use meloxicam…

  14. It Takes Two to Tango: Researchers and Decision-Makers Collaborating to Implement Practice Changes for Patients with Multimorbidity.

    Science.gov (United States)

    Fortin, Martin; Couture, Martine; Bouhali, Tarek; Leclerc, Esther; Stewart, Moira

    2016-01-01

    An integrated knowledge translation strategy is a key factor in fostering the implementation of practice changes. Building on a 15-year history of projects that include close collaboration between researchers and decision-makers in the Saguenay region of Quebec (Canada), the authors identify several key elements that resulted in practice changes in primary care and improved outcomes for patients with multimorbidity.

  15. Transferring Knowledge from Observations and Models to Decision Makers: An Overview and Challenges

    Science.gov (United States)

    Habib, Shahid; Nokra, Nada Abu

    2003-01-01

    Over the last 25 years, a tremendous progress has been made in the Earth science space-based remote sensing observations, technologies and algorithms. Such advancements have improved the predictability by providing lead-time and accuracy of forecast in weather, climate, natural hazards, and natural resources. It has further reduced or bounded the overall uncertainties by partially improving our understanding of planet Earth as an integrated system that is governed by non-linear and chaotic behavior. Many countries such US, European Community, Japan, China and others have invested billions of dollars in developing and launching space-based assets in the low earth (LEO) and geostationary (GEO) orbits. However, the wealth of this scientific knowledge that has potential of extracting monumental socio-economic benefits from such large investments have been slow in reaching to public and decision makers. For instance, there are a number of areas such as energy forecasting, aviation safety, agricultural competitiveness, disaster management, security, air quality and public health can directly take advantage. Nevertheless, we all live in a global economy that depends on access to the best available Earth Science information for all inhabitants of this planet. This paper surveys and examines a number such applications in terms of their architecture, maturity and economic applicability as they apply to the societal needs. A detailed analysis is also presented of various challenges and issues that pertain to a number of areas such as: (1) difficulties in making a speedy transition of data and information from observations and models to relevant Decision Support Systems (DSS) or tools, (2) data and models inter-operability issues, (3) limitations of spatial, spectral and temporal resolution, (4) communication limitations as dictated by the availability of image processing and data compression techniques. Additionally, the most critical element amongst all is the organizational

  16. Different approaches for centralized and decentralized water system management in multiple decision makers' problems

    Science.gov (United States)

    Anghileri, D.; Giuliani, M.; Castelletti, A.

    2012-04-01

    There is a general agreement that one of the most challenging issues related to water system management is the presence of many and often conflicting interests as well as the presence of several and independent decision makers. The traditional approach to multi-objective water systems management is a centralized management, in which an ideal central regulator coordinates the operation of the whole system, exploiting all the available information and balancing all the operating objectives. Although this approach allows to obtain Pareto-optimal solutions representing the maximum achievable benefit, it is based on assumptions which strongly limits its application in real world contexts: 1) top-down management, 2) existence of a central regulation institution, 3) complete information exchange within the system, 4) perfect economic efficiency. A bottom-up decentralized approach seems therefore to be more suitable for real case applications since different reservoir operators may maintain their independence. In this work we tested the consequences of a change in the water management approach moving from a centralized toward a decentralized one. In particular we compared three different cases: the centralized management approach, the independent management approach where each reservoir operator takes the daily release decision maximizing (or minimizing) his operating objective independently from each other, and an intermediate approach, leading to the Nash equilibrium of the associated game, where different reservoir operators try to model the behaviours of the other operators. The three approaches are demonstrated using a test case-study composed of two reservoirs regulated for the minimization of flooding in different locations. The operating policies are computed by solving one single multi-objective optimal control problem, in the centralized management approach; multiple single-objective optimization problems, i.e. one for each operator, in the independent case

  17. Strategies for Teaching Regional Climate Modeling: Online Professional Development for Scientists and Decision Makers

    Science.gov (United States)

    Walton, P.; Yarker, M. B.; Mesquita, M. D. S.; Otto, F. E. L.

    2014-12-01

    structures of both courses, evaluating the advantages and disadvantages of each, along with the educational approaches used. We conclude by proposing a framework for the develop of educationally robust online professional development programs that actively supports decision makers in understanding, developing and applying regional climate models.

  18. Voices of decision makers on evidence-based policy: A case of evolving TB/HIV co-infection policy in India.

    Science.gov (United States)

    Reddy, K Srikanth; Sahay, Seema

    2016-01-01

    This study explores decision makers' perspectives on evidence-based policy (EBP) development using the case of TB/HIV co-infection in India. Twelve in-depth interviews were conducted with purposively selected key national and international policy decision makers in India. Verbatim transcripts were processed and analysed thematically using QSR (NUD*IST 6). The decision makers were unequivocal in recognizing the TB/HIV co-infection as an important public health issue in India and stated the problem to be different than Africa. The need of having a "third programme" for co-infection was not felt. According to them, the public health management of this co-infection must be within the realm of these two programmes. The study also emphasized on decision makers' perspectives on evidence and the process of utilization of evidence for decision-making for co-infection. Study findings showed global evidence was not always accepted by the decision makers and study shows several examples of decision makers demanding local evidence for policy decisions. Decision makers did make interim policies based on global evidence but most of the time their mandate was to get local evidence. Thus, operations research/implementation science especially multi-centric studies emerge as important strategy for EBP development. Researcher-policy maker interface was a gap where role of researcher as aggressive communicator of research findings was expected.

  19. Market orientation in the mental models of decision-makers in two cross-border value chains: A pilot study using the laddering technique

    DEFF Research Database (Denmark)

    Grunert, Klaus G.; Trondsen, Torbjørn; Campos, Emilio Gonzalo

    in the mental models that can be related to actors? market orientation. In both value chains decision-makers have a fair degree of overlap in their views on what drives their business. There are also differences, between the chains, in what decision-makers believe are the major success factors. The pork chain...

  20. Who to Blame: Irrational Decision-Makers or Stupid Modelers? (Arne Richter Award for Outstanding Young Scientists Lecture)

    Science.gov (United States)

    Madani, Kaveh

    2016-04-01

    Water management benefits from a suite of modelling tools and techniques that help simplifying and understanding the complexities involved in managing water resource systems. Early water management models were mainly concerned with optimizing a single objective, related to the design, operations or management of water resource systems (e.g. economic cost, hydroelectricity production, reliability of water deliveries). Significant improvements in methodologies, computational capacity, and data availability over the last decades have resulted in developing more complex water management models that can now incorporate multiple objectives, various uncertainties, and big data. These models provide an improved understanding of complex water resource systems and provide opportunities for making positive impacts. Nevertheless, there remains an alarming mismatch between the optimal solutions developed by these models and the decisions made by managers and stakeholders of water resource systems. Modelers continue to consider decision makers as irrational agents who fail to implement the optimal solutions developed by sophisticated and mathematically rigours water management models. On the other hand, decision makers and stakeholders accuse modelers of being idealist, lacking a perfect understanding of reality, and developing 'smart' solutions that are not practical (stable). In this talk I will have a closer look at the mismatch between the optimality and stability of solutions and argue that conventional water resources management models suffer inherently from a full-cooperation assumption. According to this assumption, water resources management decisions are based on group rationality where in practice decisions are often based on individual rationality, making the group's optimal solution unstable for individually rational decision makers. I discuss how game theory can be used as an appropriate framework for addressing the irrational "rationality assumption" of water

  1. Computerized clinical decision support systems for therapeutic drug monitoring and dosing: A decision-maker-researcher partnership systematic review

    Directory of Open Access Journals (Sweden)

    Weise-Kelly Lorraine

    2011-08-01

    Full Text Available Abstract Background Some drugs have a narrow therapeutic range and require monitoring and dose adjustments to optimize their efficacy and safety. Computerized clinical decision support systems (CCDSSs may improve the net benefit of these drugs. The objective of this review was to determine if CCDSSs improve processes of care or patient outcomes for therapeutic drug monitoring and dosing. Methods We conducted a decision-maker-researcher partnership systematic review. Studies from our previous review were included, and new studies were sought until January 2010 in MEDLINE, EMBASE, Evidence-Based Medicine Reviews, and Inspec databases. Randomized controlled trials assessing the effect of a CCDSS on process of care or patient outcomes were selected by pairs of independent reviewers. A study was considered to have a positive effect (i.e., CCDSS showed improvement if at least 50% of the relevant study outcomes were statistically significantly positive. Results Thirty-three randomized controlled trials were identified, assessing the effect of a CCDSS on management of vitamin K antagonists (14, insulin (6, theophylline/aminophylline (4, aminoglycosides (3, digoxin (2, lidocaine (1, or as part of a multifaceted approach (3. Cluster randomization was rarely used (18% and CCDSSs were usually stand-alone systems (76% primarily used by physicians (85%. Overall, 18 of 30 studies (60% showed an improvement in the process of care and 4 of 19 (21% an improvement in patient outcomes. All evaluable studies assessing insulin dosing for glycaemic control showed an improvement. In meta-analysis, CCDSSs for vitamin K antagonist dosing significantly improved time in therapeutic range. Conclusions CCDSSs have potential for improving process of care for therapeutic drug monitoring and dosing, specifically insulin and vitamin K antagonist dosing. However, studies were small and generally of modest quality, and effects on patient outcomes were uncertain, with no convincing

  2. A cloud theory-based particle swarm optimization for multiple decision maker vehicle routing problems with fuzzy random time windows

    Science.gov (United States)

    Ma, Yanfang; Xu, Jiuping

    2015-06-01

    This article puts forward a cloud theory-based particle swarm optimization (CTPSO) algorithm for solving a variant of the vehicle routing problem, namely a multiple decision maker vehicle routing problem with fuzzy random time windows (MDVRPFRTW). A new mathematical model is developed for the proposed problem in which fuzzy random theory is used to describe the time windows and bi-level programming is applied to describe the relationship between the multiple decision makers. To solve the problem, a cloud theory-based particle swarm optimization (CTPSO) is proposed. More specifically, this approach makes improvements in initialization, inertia weight and particle updates to overcome the shortcomings of the basic particle swarm optimization (PSO). Parameter tests and results analysis are presented to highlight the performance of the optimization method, and comparison of the algorithm with the basic PSO and the genetic algorithm demonstrates its efficiency.

  3. Alaska Center for Climate Assessment and Policy: Partnering with Decision-Makers in Climate Change Adaptation

    Science.gov (United States)

    White, D.; Trainor, S.; Walsh, J.; Gerlach, C.

    2008-12-01

    The Alaska Center for Climate Assessment and Policy (ACCAP; www.uaf.edu/accap) is one of several, NOAA funded, Regional Integrated Science and Policy (RISA) programs nation-wide (http://www.climate.noaa.gov/cpo_pa/risa/). Our mission is to assess the socio-economic and biophysical impacts of climate variability in Alaska, make this information available to local and regional decision-makers, and improve the ability of Alaskans to adapt to a changing climate. We partner with the University of Alaska?s Scenario Network for Alaska Planning (SNAP; http://www.snap.uaf.edu/), state and local government, state and federal agencies, industry, and non-profit organizations to communicate accurate and up-to-date climate science and assist in formulating adaptation and mitigation plans. ACCAP and SNAP scientists are members of the Governor?s Climate Change Sub-Cabinet Adaptation and Mitigation Advisory and Technical Working Groups (http://www.climatechange.alaska.gov/), and apply their scientific expertise to provide down-scaled, state-wide maps of temperature and precipitation projections for these groups. An ACCAP scientist also serves as co-chair for the Fairbanks North Star Borough Climate Change Task Force, assisting this group as they work through the five-step model for climate change planning put forward by the International Council for Local Environmental Initiatives (http://www.investfairbanks.com/Taskforces/climate.php). ACCAP scientists work closely with federal resource managers in on a range of projects including: partnering with the U.S. Fish and Wildlife Service to analyze hydrologic changes associated with climate change and related ecological impacts and wildlife management and development issues on Alaska?s North Slope; partnering with members of the Alaska Interagency Wildland Fire Coordinating Group in statistical modeling to predict seasonal wildfire activity and coordinate fire suppression resources state-wide; and working with Alaska Native Elders and

  4. Urban Sustainability and Parking Areas in Naples: a Tool for Decision-Makers

    Directory of Open Access Journals (Sweden)

    Carmela Gargiulo

    2010-04-01

    Full Text Available The methodological target of this paper consists in setting up a supporting tool for the public decision-maker in individuating the areas for parking within urban territory. The construction of this tool is guided by criteria referring more to urban and regional planning choices than to transport ones and concerning mostly the integration among environmental safeguard, activities distribution and need for mobility. As matter of fact, the methodological route tends to join the morphologicalsettlement and environmental characteristics of the site with the demand for parking, which depends on the activities settled in the urban ambit of reference, considering them as keyelements in building compatible choices of city transformation either in the phase of localization, distribution and sizing of interventions or in the following phase of planning the building typology of parking equipments. This paper shares the position expressed in the report on sustainable European Cities, destined to the local authorities of any city in the states of the European Union, which belongs to those documents targeted to affect the development and implementation of innovating policies and actions for promoting a more sustainable urban Europe. Therefore, the paper is divided into three parts. The first part defines the algorithm showing the iter through which it is possible to define feasible and compatible solutions for envisaging localization, distribution and typology of the areas and spaces to be realized. The second part, through the real implementation in a particular case, the city of Naples, deals with the definition of further criteria that are time by time implemented according to the urban context of reference. The tird part deals with the application to Naples and individuates a specific typology of parking areas, as implementation of the worked out algorythm and of the abovesaid criteria. The central part of the paper deals, then, with defining a route

  5. E-mail as the Appropriate Method of Communication for the Decision-Maker When Soliciting Advice for an Intellective Decision Task.

    Science.gov (United States)

    Prahl, Andrew; Dexter, Franklin; Swol, Lyn Van; Braun, Michael T; Epstein, Richard H

    2015-09-01

    For many problems in operating room and anesthesia group management, there are tasks with optimal decisions, and yet experienced personnel tend to make decisions that are worse or no better than random chance. Such decisions include staff scheduling, case scheduling, moving cases among operating rooms, and choosing patient arrival times. In such settings, operating room management leadership decision-making should typically be autocratic rather than participative. Autocratic-style decision-making calls for managers to solicit and consider feedback from stakeholders in the decision outcome but to make the decision themselves using their expert knowledge and the facts received. For this to be effective, often the manager will obtain expert advice from outside the organization (e.g., health system). In this narrative review, we evaluate the advantages and disadvantages of using prompt asynchronous written communication (i.e., e-mail) as a communication channel for such interaction between a decision-maker (manager) and advisor. A detailed Appendix (Supplemental Digital Content, http://links.lww.com/AA/B72) lists each observational and experimental result. We find that the current ubiquitous role of e-mail for such communication is appropriate. Its benefits include improved time management via asynchronicity, low cognitive load (e.g., relative to Web conferencing), the ability to hide undesirable and irrelevant cues (e.g., physical appearance), the appropriateness of adding desirable cues (e.g., titles and degrees), the opportunity to provide written expression of confidence, and the ability for the advisor to demonstrate the answer for the decision-maker. Given that the manager is e-mailing an advisor whose competence the manager trusts, it is unnecessary to use a richer communication channel to develop trust. Finally, many of the limitations of e-mail can be rectified through training. We expect that decades from now, e-mail (i.e., asynchronous writing) between an

  6. Low-frequency electrical and magnetic fields: The precautionary principle for national authorities. Guidance for decision-makers

    Energy Technology Data Exchange (ETDEWEB)

    NONE

    1996-12-31

    This publication is intended as a support for making decisions on health hazards and electromagnetic fields. It is based on the strength of scientific findings hitherto, at the same time as technical and economic aspects of possible measures are considered in the light of limited community resources. The national authorities recommend a precautionary principle based primarily on non-discountable cancer risks. Similar principles should also be applied to other suspected effects on health. The guide offers supportive documentation to decision-makers` tasks with assessing what is reasonable in each individual case, balancing possible hazards against technical and economic considerations. 6 refs

  7. Marketing Authorization Procedures for Advanced Cancer Drugs: Exploring the Views of Patients, Oncologists, Healthcare Decision Makers, and Citizens in France.

    Science.gov (United States)

    Protiére, Christel; Baker, Rachel; Genre, Dominique; Goncalves, Anthony; Viens, Patrice

    2017-07-01

    The past decades have seen advances in cancer treatments in terms of toxicity and side effects but progress in the treatment of advanced cancer has been modest. New drugs have emerged improving progression free survival but with little impact on overall survival, raising questions about the criteria on which to base decisions to grant marketing authorizations and about the authorization procedure itself. For decisions to be fair, transparent and accountable, it is necessary to consider the views of those with relevant expertise and experience. We conducted a Q-study to explore the views of a range of stakeholders in France, involving: 54 patients (18 months after diagnosis); 50 members of the general population; 27 oncologists; 19 healthcare decision makers; and 2 individuals from the pharmaceutical industry. Three viewpoints emerged, focussing on different dimensions entitled: 1) 'Quality of life (QoL), opportunity cost and participative democracy'; 2)'QoL and patient-centeredness'; and 3) 'Length of life'. Respondents from all groups were associated with each viewpoint, except for healthcare decision makers, who were only associated with the first one. Our results highlight plurality in the views of stakeholders, emphasize the need for transparency in decision making processes, and illustrate the importance of a re-evaluation of treatments for all 3 viewpoints. In the context of advanced cancer, our results suggest that QoL should be more prominent amongst authorization criteria, as it is a concern for 2 of the 3 viewpoints.

  8. Methods for providing decision makers with optimal solutions for multiple objectives that change over time

    CSIR Research Space (South Africa)

    Greeff, M

    2010-09-01

    Full Text Available maker with the set of optimal solutions. Vector eValuated PSo Kennedy and eberhart [1] introduced particle swarm optimisation (PSo) that is based on the social behaviour of bird flocks. each swarm has a number of particles, with each particle...

  9. A Rational Decision Maker with Ordinal Utility under Uncertainty: Optimism and Pessimism

    CERN Document Server

    Han, Ji

    2009-01-01

    In game theory and artificial intelligence, decision making models often involve maximizing expected utility, which does not respect ordinal invariance. In this paper, the author discusses the possibility of preserving ordinal invariance and still making a rational decision under uncertainty.

  10. Fairness and accountability for reasonableness. Do the views of priority setting decision makers differ across health systems and levels of decision making?

    Science.gov (United States)

    Kapiriri, Lydia; Norheim, Ole F; Martin, Douglas K

    2009-02-01

    Accountability for reasonableness is an ethical framework for fair priority setting process. This framework has been used to evaluate fairness in several contexts, and a few studies have evaluated its acceptability to decision makers. However, no studies have compared the acceptability of the four conditions of the framework to decision makers across health systems and levels of priority setting. This paper reports the elements of fairness described by 184 decision makers involved in priority setting at the macro-, meso- and micro-levels of priority setting in the Canadian (Ontario), Norwegian and Ugandan health care systems and compares them against the four conditions of 'Accountability for Reasonableness' and across levels of decision making, and health care systems. Our respondents identified 23 elements of fair priority setting. Most of these (17) were well aligned with the four conditions of Accountability for Reasonableness; six were not. Comparisons across health care system and levels of decision making revealed that four elements (transparency, participatory and among the criteria-need based and objective) were common to all and the rest were common to only the health care systems (but not at all levels), or only the levels of decision making (but not to all health are systems). Perceptions varied remarkably across levels of decision making. The overlap between the elements of fairness found in this study and the conditions of Accountability for Reasonableness demonstrates that the four conditions are recognizable and applicable across health care systems and levels of decision making. However, the framework should be used with flexibility to allow for identification of elements and relevant explicit criteria (such as those identified in this study) - that may not directly fit under any of the four conditions.

  11. Product Life Cycle concept use and application by marketing decision-makers in small South African organisations

    Directory of Open Access Journals (Sweden)

    F. J. Herbst

    2003-12-01

    Full Text Available The purpose of the study was to test the underlying theory of the product life cycle concept with the primary objective of establishing what the use and practical value of the product life cycle concept is in making marketing decisions in small manufacturing and dealer organisations in Gauteng. The main focus was to test the ability of marketing decision-makers in these small organisations to associate their application and use of the product life cycle concept with Kotler's assumptions on marketing characteristics, described marketing objectives and proposed marketing strategies. A major finding was that small organisations tended to display a marketing knowledge level with the existing marketing theory. Another important conclusion of the study was that the current product life cycle concept theory needs to be broadened to include strategies on the expanded marketing mix. Apart from the different use and application by marketing decision-makers in small organisations in South Africa the product life cycle concept theory has potential as a strategic tool and a high likelihood for its future use as a marketing decision-making instrument.

  12. Moving beyond the cost-loss ratio: economic assessment of streamflow forecasts for a risk-averse decision maker

    Science.gov (United States)

    Matte, Simon; Boucher, Marie-Amélie; Boucher, Vincent; Fortier Filion, Thomas-Charles

    2017-06-01

    A large effort has been made over the past 10 years to promote the operational use of probabilistic or ensemble streamflow forecasts. Numerous studies have shown that ensemble forecasts are of higher quality than deterministic ones. Many studies also conclude that decisions based on ensemble rather than deterministic forecasts lead to better decisions in the context of flood mitigation. Hence, it is believed that ensemble forecasts possess a greater economic and social value for both decision makers and the general population. However, the vast majority of, if not all, existing hydro-economic studies rely on a cost-loss ratio framework that assumes a risk-neutral decision maker. To overcome this important flaw, this study borrows from economics and evaluates the economic value of early warning flood systems using the well-known Constant Absolute Risk Aversion (CARA) utility function, which explicitly accounts for the level of risk aversion of the decision maker. This new framework allows for the full exploitation of the information related to a forecasts' uncertainty, making it especially suited for the economic assessment of ensemble or probabilistic forecasts. Rather than comparing deterministic and ensemble forecasts, this study focuses on comparing different types of ensemble forecasts. There are multiple ways of assessing and representing forecast uncertainty. Consequently, there exist many different means of building an ensemble forecasting system for future streamflow. One such possibility is to dress deterministic forecasts using the statistics of past error forecasts. Such dressing methods are popular among operational agencies because of their simplicity and intuitiveness. Another approach is the use of ensemble meteorological forecasts for precipitation and temperature, which are then provided as inputs to one or many hydrological model(s). In this study, three concurrent ensemble streamflow forecasting systems are compared: simple statistically dressed

  13. Moving beyond the cost–loss ratio: economic assessment of streamflow forecasts for a risk-averse decision maker

    Directory of Open Access Journals (Sweden)

    S. Matte

    2017-06-01

    Full Text Available A large effort has been made over the past 10 years to promote the operational use of probabilistic or ensemble streamflow forecasts. Numerous studies have shown that ensemble forecasts are of higher quality than deterministic ones. Many studies also conclude that decisions based on ensemble rather than deterministic forecasts lead to better decisions in the context of flood mitigation. Hence, it is believed that ensemble forecasts possess a greater economic and social value for both decision makers and the general population. However, the vast majority of, if not all, existing hydro-economic studies rely on a cost–loss ratio framework that assumes a risk-neutral decision maker. To overcome this important flaw, this study borrows from economics and evaluates the economic value of early warning flood systems using the well-known Constant Absolute Risk Aversion (CARA utility function, which explicitly accounts for the level of risk aversion of the decision maker. This new framework allows for the full exploitation of the information related to a forecasts' uncertainty, making it especially suited for the economic assessment of ensemble or probabilistic forecasts. Rather than comparing deterministic and ensemble forecasts, this study focuses on comparing different types of ensemble forecasts. There are multiple ways of assessing and representing forecast uncertainty. Consequently, there exist many different means of building an ensemble forecasting system for future streamflow. One such possibility is to dress deterministic forecasts using the statistics of past error forecasts. Such dressing methods are popular among operational agencies because of their simplicity and intuitiveness. Another approach is the use of ensemble meteorological forecasts for precipitation and temperature, which are then provided as inputs to one or many hydrological model(s. In this study, three concurrent ensemble streamflow forecasting systems are compared: simple

  14. Anchor effects in decision making can be reduced by the interaction between goal monitoring and the level of the decision maker's executive functions.

    Science.gov (United States)

    Schiebener, Johannes; Wegmann, Elisa; Pawlikowski, Mirko; Brand, Matthias

    2012-11-01

    Models of decision making postulate that interactions between contextual conditions and characteristics of the decision maker determine decision-making performance. We tested this assumption by using a possible positive contextual influence (goals) and a possible negative contextual influence (anchor) in a risky decision-making task (Game of Dice Task, GDT). In this task, making advantageous choices is well known to be closely related to a specific decision maker variable: the individual level of executive functions. One hundred subjects played the GDT in one of four conditions: with self-set goal for final balance (n = 25), with presentation of an anchor (a fictitious Top 10 list, showing high gains of other participants; n = 25), with anchor and goal definition (n = 25), and with neither anchor nor goal setting (n = 25). Subjects in the conditions with anchor made more risky decisions irrespective of the negative feedback, but this anchor effect was influenced by goal monitoring and moderated by the level of the subjects' executive functions. The findings imply that impacts of situational influences on decision making as they frequently occur in real life depend upon the individual's cognitive abilities. Anchor effects can be overcome by subjects with good cognitive abilities.

  15. Comparing the sustainability impacts of solar thermal and natural gas combined cycle for electricity production in Mexico: Accounting for decision makers' priorities

    Science.gov (United States)

    Rodríguez-Serrano, Irene; Caldés, Natalia; Oltra, Christian; Sala, Roser

    2017-06-01

    The aim of this paper is to conduct a comprehensive sustainability assessment of the electricity generation with two alternative electricity generation technologies by estimating its economic, environmental and social impacts through the "Framework for Integrated Sustainability Assessment" (FISA). Based on a Multiregional Input Output (MRIO) model linked to a social risk database (Social Hotspot Database), the framework accounts for up to fifteen impacts across the three sustainability pillars along the supply chain of the electricity production from Solar Thermal Electricity (STE) and Natural Gas Combined Cycle (NGCC) technologies in Mexico. Except for value creation, results show larger negative impacts for NGCC, particularly in the environmental pillar. Next, these impacts are transformed into "Aggregated Sustainability Endpoints" (ASE points) as a way to support the decision making in selecting the best sustainable project. ASE points obtained are later compared to the resulting points weighted by the reported priorities of Mexican decision makers in the energy sector obtained from a questionnaire survey. The comparison shows that NGCC achieves a 1.94 times worse negative score than STE, but after incorporating decision makerś priorities, the ratio increases to 2.06 due to the relevance given to environmental impacts such as photochemical oxidants formation and climate change potential, as well as social risks like human rights risks.

  16. Defining products for a new health technology assessment agency in Madrid, Spain: a survey of decision makers.

    Science.gov (United States)

    Andradas, Elena; Blasco, Juan-Antonio; Valentín, Beatriz; López-Pedraza, María-José; Gracia, Francisco-Javier

    2008-01-01

    The aim of this study was to explore the needs and requirements of decision makers in our regional healthcare system for health technology assessment (HTA) products to support portfolio development planning for a new HTA agency in Madrid, Spain. A Delphi study was conducted during 2003. Questionnaires were developed based on a review of products and services offered by other agency members of the International Network of Agencies for Health Technology Assessment, and included preference and prioritization questions to evaluate twenty-two different products and services. The initial Delphi panel involved eighty-seven experts from twenty-one public hospitals, eleven primary healthcare centers, six private hospitals, and eight departments of the Regional Ministry of Health of the Community of Madrid. The global participation rate was 83.9 percent. Ten of the twenty-two possible products were rated of high interest by more than 80 percent of respondents. Important differences in preferences and priorities were detected across different settings. Public hospitals and primary healthcare centers shared a more "micro" perspective, preferring classic technology-centered HTA products, whereas private hospitals and Ministry representatives demanded more "macro" products and services such as organizational model and information system assessments. The high participation rate supports the representativeness of the results for our regional context. The strategic development of an HTA portfolio based on decision makers' needs and requirements as identified in this type of exercise should help achieve a better impact on policy development and decision making.

  17. Communication with U.S. federal decision makers : a primer with notes on the use of computer models as a means of communication.

    Energy Technology Data Exchange (ETDEWEB)

    Webb, Erik Karl; Tidwell, Vincent Carroll

    2009-10-01

    This document outlines ways to more effectively communicate with U.S. Federal decision makers by outlining the structure, authority, and motivations of various Federal groups, how to find the trusted advisors, and how to structure communication. All three branches of Federal governments have decision makers engaged in resolving major policy issues. The Legislative Branch (Congress) negotiates the authority and the resources that can be used by the Executive Branch. The Executive Branch has some latitude in implementation and prioritizing resources. The Judicial Branch resolves disputes. The goal of all decision makers is to choose and implement the option that best fits the needs and wants of the community. However, understanding the risk of technical, political and/or financial infeasibility and possible unintended consequences is extremely difficult. Primarily, decision makers are supported in their deliberations by trusted advisors who engage in the analysis of options as well as the day-to-day tasks associated with multi-party negotiations. In the best case, the trusted advisors use many sources of information to inform the process including the opinion of experts and if possible predictive analysis from which they can evaluate the projected consequences of their decisions. The paper covers the following: (1) Understanding Executive and Legislative decision makers - What can these decision makers do? (2) Finding the target audience - Who are the internal and external trusted advisors? (3) Packaging the message - How do we parse and integrate information, and how do we use computer simulation or models in policy communication?

  18. The Application of AHP Model to Guide Decision Makers: A Case Study of E-banking Security

    CERN Document Server

    Syamsuddin, Irfan; 10.1109/ICCIT.2009.251

    2010-01-01

    Changes in technology have resulted in new ways for bankers to deliver their services to costumers. Electronic banking systems in various forms are the evidence of such advancement. However, information security threats also evolving along this trend. This paper proposes the application of Analytic Hierarchy Process (AHP) methodology to guide decision makers in banking industries to deal with information security policy. The model is structured according aspects of information security policy in conjunction with information security elements. We found that cultural aspect is valued on the top priority among other security aspects, while confidentiality is considered as the most important factor in terms of information security elements.

  19. Gender inequalities in the workplace: the effects of organizational structures, processes, practices, and decision makers' sexism

    National Research Council Canada - National Science Library

    Stamarski, Cailin S; Son Hing, Leanne S

    2015-01-01

    .... We suggest that gender discrimination in HR-related decision-making and in the enactment of HR practices stems from gender inequalities in broader organizational structures, processes, and practices...

  20. A comparison of workplace safety perceptions among financial decision-makers of medium- vs. large-size companies.

    Science.gov (United States)

    Huang, Yueng-Hsiang; Leamon, Tom B; Courtney, Theodore K; Chen, Peter Y; DeArmond, Sarah

    2011-01-01

    This study, through a random national survey in the U.S., explored how corporate financial decision-makers perceive important workplace safety issues as a function of the size of the company for which they worked (medium- vs. large-size companies). Telephone surveys were conducted with 404 U.S. corporate financial decision-makers: 203 from medium-size companies and 201 from large companies. Results showed that the patterns of responding for participants from medium- and large-size companies were somewhat similar. The top-rated safety priorities in resource allocation reported by participants from both groups were overexertion, repetitive motion, and bodily reaction. They believed that there were direct and indirect costs associated with workplace injuries and for every dollar spent improving workplace safety, more than four dollars would be returned. They perceived the top benefits of an effective safety program to be predominately financial in nature - increased productivity and reduced costs - and the safety modification participants mentioned most often was to have more/better safety-focused training. However, more participants from large- than medium-size companies reported that "falling on the same level" was the major cause of workers' compensation loss, which is in line with industry loss data. Participants from large companies were more likely to see their safety programs as better than those of other companies in their industries, and those of medium-size companies were more likely to mention that there were no improvements needed for their companies.

  1. Science communication and vernal pool conservation: a study of local decision maker attitudes in a knowledge-action system.

    Science.gov (United States)

    McGreavy, Bridie; Webler, Thomas; Calhoun, Aram J K

    2012-03-01

    In this study, we describe local decision maker attitudes towards vernal pools to inform science communication and enhance vernal pool conservation efforts. We conducted interviews with town planning board and conservation commission members (n = 9) from two towns in the State of Maine in the northeastern United States. We then mailed a questionnaire to a stratified random sample of planning board members in August and September 2007 with a response rate of 48.4% (n = 320). The majority of survey respondents favored the protection and conservation of vernal pools in their towns. Decision makers were familiar with the term "vernal pool" and demonstrated positive attitudes to vernal pools in general. General appreciation and willingness to conserve vernal pools predicted support for the 2006 revisions to the Natural Resource Protection Act regulating Significant Vernal Pools. However, 48% of respondents were unaware of this law and neither prior knowledge of the law nor workshop attendance predicted support for the vernal pool law. Further, concerns about private property rights and development restrictions predicted disagreement with the vernal pool law. We conclude that science communication must rely on specific frames of reference, be sensitive to cultural values, and occur in an iterative system to link knowledge and action in support of vernal pool conservation. Copyright © 2011 Elsevier Ltd. All rights reserved.

  2. End-of-life decisions: a cross-national study of treatment preference discussions and surrogate decision-maker appointments.

    NARCIS (Netherlands)

    Evans, N.; Pasman, H.R.; Vega Alonso, T.; Block, L. van den; Miccinesi, G.; Casteren, V. van; Donker, G.; Bertolissi, S.; Zurriaga, O.; Deliens, L.; Onwuteaka-Philipsen, B.

    2013-01-01

    Background: Making treatment decisions in anticipation of possible future incapacity is an important part of patient participation in end-of-life decision-making. This study estimates and compares the prevalence of GP-patient end-of-life treatment discussions and patients’ appointment of surrogate

  3. From whom the bell tolls: the emerging decision-makers for life-support systems in choices of who shall live and who shall die.

    Science.gov (United States)

    Porzio, R

    1987-12-01

    In summary, how do we assess these decision-makers, with their wide variations in composition, emerging today from medical technology and advances unknown and unforeseen by earlier practitioners? At the threshold, we should not dismiss lightly the traditional role of the doctor as the autocrat. There is much to be said in his or her favor: 1. The basic decision, after all, is a medical one--diagnosis and prognosis--with the concurrence perhaps of a consultant or a specialist. That decision was and is a major premise. Miss it and one misses the mark. 2. What is so novel, what is so startling about a fateful life-death issue in the medical profession? It is quotidian. In the Armageddon between human life and human demise, doctors have been making those solemn decisions in other areas of medicine from time immemorial. Often--not always--the patient is silently saying to the doctor, "My life is in your hands." 3. And within what context does he act? Usually--not always--he knows the patient. He knows the family. He knows the surrounding circumstances. But there still lurks that gnawing, underlying flaw. The decision-making is not diffused. The doctor stands alone. Small "groups" or "committees," retaining medical guidance, share responsibilities, make more palatable to themselves those agonizing decisions, and contribute to their acceptability by society. Here, then, is the harvest to be reaped by diffusion. What is so striking is that the decision-making process anent life-support systems still calls for a superior breed of men and women.(ABSTRACT TRUNCATED AT 250 WORDS)

  4. Decision-maker's guide to wood fuel for small industrial energy users. Final report. [Includes glossary

    Energy Technology Data Exchange (ETDEWEB)

    Levi, M. P.; O& #x27; Grady, M. J.

    1980-02-01

    The technology and economics of various wood energy systems available to the small industrial and commercial energy user are considered. This book is designed to help a plant manager, engineer, or others in a decision-making role to become more familiar with wood fuel systems and make informed decisions about switching to wood as a fuel. The following subjects are discussed: wood combustion, pelletized wood, fuel storage, fuel handling and preparation, combustion equipment, retrofitting fossil-fueled boilers, cogeneration, pollution abatement, and economic considerations of wood fuel use. (MHR)

  5. Value of Information and Prospect theory as tools to involve decision-makers in water-related design, operation and planning of water systems

    Science.gov (United States)

    Alfonso, Leonardo

    2013-04-01

    The role of decision-makers is to take the outputs from hydrological and hydraulic analyses and, in some extent, use them as inputs to make decisions that are related to planning, design and operation of water systems. However, the use of these technical analyses is frequently limited, since there are other non-hydrological issues that must be considered, that may end up in very different solutions than those envisaged by the purely technical ones. A possibility to account for the nature of the human decisions under uncertainty is by exploring the use of concepts from decision theory and behavioural economics, such as Value of Information and Prospect Theory and embed them into the methodologies we use in the hydrology practice. Three examples are presented to illustrate these multidisciplinary interactions. The first one, for monitoring network design, uses Value of Information within a methodology to locate water level stations in a complex canal of networks in the Netherlands. The second example, for operation, shows how the Value of Information concept can be used to formulate alternative methods to evaluate flood risk according to the set of options available for decision-making during a flood event. The third example, for planning, uses Prospect Theory concepts to understand how the "losses hurt more than gains feel good" effect can determine the final decision of urbanise or not a flood-prone area. It is demonstrated that decision theory and behavioural economic principles are promising to evaluate the complex decision-making process in water-related issues.

  6. Factors Influencing the Adoption of Cloud Storage by Information Technology Decision Makers

    Science.gov (United States)

    Wheelock, Michael D.

    2013-01-01

    This dissertation uses a survey methodology to determine the factors behind the decision to adopt cloud storage. The dependent variable in the study is the intent to adopt cloud storage. Four independent variables are utilized including need, security, cost-effectiveness and reliability. The survey includes a pilot test, field test and statistical…

  7. Factors Influencing the Adoption of Cloud Storage by Information Technology Decision Makers

    Science.gov (United States)

    Wheelock, Michael D.

    2013-01-01

    This dissertation uses a survey methodology to determine the factors behind the decision to adopt cloud storage. The dependent variable in the study is the intent to adopt cloud storage. Four independent variables are utilized including need, security, cost-effectiveness and reliability. The survey includes a pilot test, field test and statistical…

  8. Data quality for decision makers a dialog between a board member and a DQ expert

    CERN Document Server

    Morbey, Guilherme

    2014-01-01

    Currently many companies are confronted with the decision how to deal with the new data quality requirements of the regulatory authorities. Future data quality statements for enterprise key figures and their origins are being demanded. Applying methods of a data quality management system can produce these statements best. Guilherme Morbey explains the introduction of such a system in the form of a dialogue.

  9. Improving Children's Competence as Decision Makers: Contrasting Effects of Collaborative Interaction and Direct Instruction

    Science.gov (United States)

    Zhang, Xin; Anderson, Richard C.; Morris, Joshua; Miller, Brian; Nguyen-Jahiel, Kim Thi; Lin, Tzu-Jung; Zhang, Jie; Jadallah, May; Scott, Theresa; Sun, Jingjing; Latawiec, Beata; Ma, Shufeng; Grabow, Kay; Hsu, Judy Yu-Li

    2016-01-01

    This research examined the influence of contrasting instructional approaches on children's decision-making competence. A total of 764 fifth graders, mostly African Americans and Hispanic Americans, from 36 classrooms in eight public schools serving children from low-income families completed a six-week unit on wolf management, using either direct…

  10. Assessing the Benefits of Wetland Restoration: A Rapid Benefit Indicators Approach for Decision Makers

    Science.gov (United States)

    This guide presents the Rapid Benefits Indicators (RBI) Approach, a rapid process for assessing the social benefits of ecosystem restoration. Created for those who conduct, advocate for, or support restoration, the RBI approach consists of five steps: (1) Describe the decision co...

  11. Effects of computerized clinical decision support systems on practitioner performance and patient outcomes: Methods of a decision-maker-researcher partnership systematic review

    Directory of Open Access Journals (Sweden)

    Wilczynski Nancy L

    2010-02-01

    Full Text Available Abstract Background Computerized clinical decision support systems are information technology-based systems designed to improve clinical decision-making. As with any healthcare intervention with claims to improve process of care or patient outcomes, decision support systems should be rigorously evaluated before widespread dissemination into clinical practice. Engaging healthcare providers and managers in the review process may facilitate knowledge translation and uptake. The objective of this research was to form a partnership of healthcare providers, managers, and researchers to review randomized controlled trials assessing the effects of computerized decision support for six clinical application areas: primary preventive care, therapeutic drug monitoring and dosing, drug prescribing, chronic disease management, diagnostic test ordering and interpretation, and acute care management; and to identify study characteristics that predict benefit. Methods The review was undertaken by the Health Information Research Unit, McMaster University, in partnership with Hamilton Health Sciences, the Hamilton, Niagara, Haldimand, and Brant Local Health Integration Network, and pertinent healthcare service teams. Following agreement on information needs and interests with decision-makers, our earlier systematic review was updated by searching Medline, EMBASE, EBM Review databases, and Inspec, and reviewing reference lists through 6 January 2010. Data extraction items were expanded according to input from decision-makers. Authors of primary studies were contacted to confirm data and to provide additional information. Eligible trials were organized according to clinical area of application. We included randomized controlled trials that evaluated the effect on practitioner performance or patient outcomes of patient care provided with a computerized clinical decision support system compared with patient care without such a system. Results Data will be summarized

  12. MOBILE 5G TECHNOLOGY ADOPTION INVESTMENT TIMING DECISION MAKERS CLUSTERING AND WILLINGNESS TO INVEST UNDER VOLATILE DEMAND CHANGES

    Directory of Open Access Journals (Sweden)

    Saulius Adamauskas

    2016-09-01

    Full Text Available Enterprises need to identify the optimal timing for technological change in order to increase competitiveness and increase the value of the company in an uncertain demanding environment. Investment decisions for adopting new technologies are costly and sometimes risky because technological investments are irreversible. To simulate the process, comprehensive technological adoption regarding investment timing was used in a management decision support model. The constructed model is structured as follows: 1 historical demand paths analysis; 2 application of statistical data validity tests; 3 the forecast of market parameters regarding data arrays using the geometric Brownian motion method, based on Monte Carlo simulation; 4 determination of technological life cycle using a Hodrick–Prescott filter; 5 technological adoption time-window determination; and 6 calculation of company net present values (NPV based on change in free cash-flow. The model for mature 5G mobile markets, created and empirical tested, was performed in relation to 18 largest Europe mobile service providers, as potential decision makers operating across 33 countries. Results confirmed that selection of the technological investment time depends on companies’ strategic financial decisions and financial state. The performed simulations revealed the consequence of 5G technology investment for investor roles, clustered according to financial data within a 5-year period (2010–2014. The analyzed companies were assigned to roles of pioneers-innovators, pragmatics, followers, or laggards. Finally, it is assumed and argued that financial parameters indicate the willingness to adopt new technologies in a global technologically changing environment.

  13. Older adults as adaptive decision makers: evidence from the Iowa Gambling Task.

    Science.gov (United States)

    Wood, Stacey; Busemeyer, Jerome; Koling, Andreas; Cox, Cathy R; Davis, Hasker

    2005-06-01

    Older adults process emotional information differently than younger adults and may demonstrate less of a negativity bias on cognitive tasks. The Iowa Gambling Task designed by A. Bechara, H. Damasio, D. Tranel, and A. R. Damasio (1997) has been used to examine the integration of emotion and cognition in a risky-choice decision task and may give insight into differences in the decision-making strategies in younger and older adults. Eighty-eight younger adults (18-34 years) and 67 older adults (65-88 years) completed the Iowa Gambling Task. Using a theoretical decomposition of the task designed by J. R. Busemeyer and J. C. Stout (2002), the authors found that both groups were successful at solving the task but used very different strategies that reflected each group's strength. For younger adults, that strength was learning and memory. For older adults, that strength was an accurate representation of wins and losses (valence).

  14. Preference-driven biases in decision makers' information search and evaluation

    Directory of Open Access Journals (Sweden)

    Anne-Sophie Chaxel

    2013-09-01

    Full Text Available While it is well established that the search for information after a decision is biased toward supporting that decision, the case of preference-supporting search before the decision remains open. Three studies of consumer choices consistently found a complete absence of a pre-choice bias toward searching for preference-supporting information. The absence of this confirming search bias occurred for products that were both hedonic and utilitarian, both expensive and inexpensive, and both high and low in expected brand loyalty. Experiment 3 also verified the presence of the expected post-choice search bias to support the chosen alternative. Therefore the absence of a pre-choice search bias in all three studies was not likely to be due to our using a method that was so insensitive that a search bias would not be observed under any circumstances. In addition to the absence of an effect of prior preferences on information selection, subjects' self-reported search strategies exhibited a clear tendency toward a balance of positive and negative information. Across the three studies, we also tested for the presence of a preference-supporting bias in the evaluation of the information acquired in the search process. This evaluation bias was found both pre- and post-choice.

  15. Simulation Models of Human Decision-Making Processes

    Directory of Open Access Journals (Sweden)

    Nina RIZUN

    2014-10-01

    Full Text Available The main purpose of the paper is presentation of the new concept of human decision-making process modeling via using the analogy with Automatic Control Theory. From the author's point of view this concept allows to develop and improve the theory of decision-making in terms of the study and classification of specificity of the human intellectual processes in different conditions. It was proved that the main distinguishing feature between the Heuristic / Intuitive and Rational Decision-Making Models is the presence of so-called phenomenon of "enrichment" of the input information with human propensity, hobbies, tendencies, expectations, axioms and judgments, presumptions or bias and their justification. In order to obtain additional knowledge about the basic intellectual processes as well as the possibility of modeling the decision results in various parameters characterizing the decision-maker, the complex of the simulation models was developed. These models are based on the assumptions that:  basic intellectual processes of the Rational Decision-Making Model can be adequately simulated and identified by the transient processes of the proportional-integral-derivative controller; basic intellectual processes of the Bounded Rationality and Intuitive Models can be adequately simulated and identified by the transient processes of the nonlinear elements.The taxonomy of the most typical automatic control theory elements and their compliance with certain decision-making models with a point of view of decision-making process specificity and decision-maker behavior during a certain time of professional activity was obtained.

  16. Are We Telling Decision-makers the Wrong Things - and with Too Much Confidence?

    Science.gov (United States)

    Arnold, J.; Nowak, K. C.; Vano, J. A.; Newman, A. J.; Mizukami, N.; Mendoza, P. A.; Nijssen, B.; Wood, A.; Gutmann, E. D.; Clark, M. P.; Rasmussen, R.

    2016-12-01

    Water-resource management relies on decision-making over a wide range of space-time scales, nearly none of which maps cleanly onto the scales of current hydroclimatic scenarios of anthropogenic change. Myriad choices are made during vulnerability and impact assessments to quantify the changed-climate sensitivities of models used in that decision-making, including choices of hydrologic models, parameters, and parameterizations; their input forcings determined with various climate downscaling approaches; selected GCMs and output variables to be downscaled; and the forcing emissions scenarios, to name a few. Choosing alternative methods for producing gridded meteorological fields, for examples, can produce very different effects on the projected hydrologic outcomes they drive, with uncertainties across those methods revealed to be as large or larger than the climate change signal itself in some cases. Additionally, many popular climate downscaling methods simply rescale GCM precipitation, producing hydroclimatic projections with too much drizzle, incorrect representations of extreme events, and improper spatial scaling of variables crucial to water-resource vulnerability assessments and, importantly, the decisions they seek to inform. Real-world water-resource vulnerability and impacts assessments can be highly time-sensitive and resource limited, though, so they typically do not confront or even fully represent uncertainties associated with all choices. That deficiency results in assessments built on only partially revealed uncertainties which can misrepresent significant sensitivities and impacts in the final assessments of climate threats and hydrologic vulnerabilities. This talk will describe recent work by the U.S. Army Corps of Engineers, Bureau of Reclamation, University of Washington, and National Center for Atmospheric Research to develop and test methods to characterize more fully the uncertainties in the modeling chain for real-world uses. Examples will

  17. Alleviating water scarcity in Northern China: balancing options and policies among Chinese decision-makers.

    Science.gov (United States)

    Lasserre, F

    2003-01-01

    Water scarcity is mostly a man-made problem that increasingly affects people's lives and questions economic output in Northern China. Policy options addressing the serious water shortages in the region include conservation and water management reform, which is unpopular; grain imports and the downsizing of agriculture; derivation of Yangze water; derivation of the Amur and other international rivers. All solutions present major difficulties, whether domestic or international, for the Chinese authorities. While major decisions have not yet been taken, evidence shows major works such as water transfers from the Yangze or water pricing are not only unavoidable, but will not be enough to meet the growing demand for water in the region.

  18. Reducing Energy Subsidies in China, India and Russia: Dilemmas for Decision Makers

    Directory of Open Access Journals (Sweden)

    Indra Overland

    2010-02-01

    Full Text Available This article examines and compares efforts to reduce energy subsidies in China, India and Russia. Despite dissimilarities in forms of governance, these three states have followed surprisingly similar patterns in reducing energy subsidies, characterised by two steps forward, one step back. Non-democratic governments and energy importers might be expected to be more likely to halt subsidies. In fact, the degree of democracy and status as net energy exporters or importers does not seem to significantly affect these countries’ capacity to reduce subsidies, as far as can be judged from the data in this article. Politicians in all three fear that taking unpopular decisions may provoke social unrest.

  19. Resource allocation within the National AIDS Control Program of Pakistan: a qualitative assessment of decision maker's opinions

    Directory of Open Access Journals (Sweden)

    Kadir Masood

    2007-01-01

    Full Text Available Abstract Background Limited resources, whether public or private, demand prioritisation among competing needs to maximise productivity. With a substantial increase in the number of reported HIV cases, little work has been done to understand how resources have been distributed and what factors may have influenced allocation within the newly introduced Enhanced National AIDS Control Program of Pakistan. The objective of this study was to identify perceptions of decision makers about the process of resource allocation within Pakistan's Enhanced National AIDS Control Program. Methods A qualitative study was undertaken and in-depth interviews of decision makers at provincial and federal levels responsible to allocate resources within the program were conducted. Results HIV was not considered a priority issue by all study participants and external funding for the program was thought to have been accepted because of poor foreign currency reserves and donor agency influence rather than local need. Political influences from the federal government and donor agencies were thought to manipulate distribution of funds within the program. These influences were thought to occur despite the existence of a well-laid out procedure to determine allocation of public resources. Lack of collaboration among departments involved in decision making, a pervasive lack of technical expertise, paucity of information and an atmosphere of ad hoc decision making were thought to reduce resistance to external pressures. Conclusion Development of a unified program vision through a consultative process and advocacy is necessary to understand goals to be achieved, to enhance program ownership and develop consensus about how money and effort should be directed. Enhancing public sector expertise in planning and budgeting is essential not just for the program, but also to reduce reliance on external agencies for technical support. Strengthening available databases for effective

  20. The Insertion of Human Factors Concerns into NextGen Programmatic Decisions

    Science.gov (United States)

    Beard, Bettina L.; Holbrook, Jon Brian; Seely, Rachel

    2013-01-01

    Since the costs of proposed improvements in air traffic management exceed available funding, FAA decision makers must select and prioritize what actually gets implemented. We discuss a set of methods to help forecast operational and human performance issues and benefits before new automation is introduced. This strategy could minimize the impact of politics, assist decision makers in selecting and prioritizing potential improvements, make the process more transparent and strengthen the link between the engineering and human factors domains.

  1. Involving decision-makers in the research process: Challenges of implementing the accountability for reasonableness approach to priority setting at the district level in Tanzania.

    Science.gov (United States)

    Maluka, Stephen; Kamuzora, Peter; Ndawi, Benedict; Hurtig, Anna-Karin

    2014-01-01

    The past two decades have seen a growing call for researchers, policy-makers and health care providers to collaborate in efforts to bridge the gaps between research, policy and practice. However, there has been a little attention focused on documenting the challenges of dealing with decision-makers in the course of implementing a research project. This paper highlights a collaborative research project aiming to implement the accountability for reasonableness (AFR) approach to priority setting in accordance with the Response to Accountable Priority Setting for Trust in Health Systems (REACT) project in Tanzania. Specifically, the paper examines the challenges of dealing with decision-makers during the project-implementation process and shows how the researchers dealt with the decision-makers to facilitate the implementation of the REACT project. Key informant interviews were conducted with the Council Health Management Team (CHMT), local government officials and other stakeholders, using a semi-structured interview guide. Minutes of the Action Research Team and CHMT were analysed. Additionally, project-implementation reports were analysed and group priority-setting processes in the district were observed. The findings show that the characteristics of the REACT research project, the novelty of some aspects of the AFR approach, such as publicity and appeals, the Action Research methodology used to implement the project and the traditional cultural contexts within which the project was implemented, created challenges for both researchers and decision-makers, which consequently slowed down the implementation of the REACT project. While collaboration between researchers and decision-makers is important in bridging gaps between research and practice, it is imperative to understand the challenges of dealing with decision-makers in the course of implementing a collaborative research project. Such analyses are crucial in designing proper strategies for improved communication

  2. Optimal global value of information trials: better aligning manufacturer and decision maker interests and enabling feasible risk sharing.

    Science.gov (United States)

    Eckermann, Simon; Willan, Andrew R

    2013-05-01

    Risk sharing arrangements relate to adjusting payments for new health technologies given evidence of their performance over time. Such arrangements rely on prospective information regarding the incremental net benefit of the new technology, and its use in practice. However, once the new technology has been adopted in a particular jurisdiction, randomized clinical trials within that jurisdiction are likely to be infeasible and unethical in the cases where they would be most helpful, i.e. with current evidence of positive while uncertain incremental health and net monetary benefit. Informed patients in these cases would likely be reluctant to participate in a trial, preferring instead to receive the new technology with certainty. Consequently, informing risk sharing arrangements within a jurisdiction is problematic given the infeasibility of collecting prospective trial data. To overcome such problems, we demonstrate that global trials facilitate trialling post adoption, leading to more complete and robust risk sharing arrangements that mitigate the impact of costs of reversal on expected value of information in jurisdictions who adopt while a global trial is undertaken. More generally, optimally designed global trials offer distinct advantages over locally optimal solutions for decision makers and manufacturers alike: avoiding opportunity costs of delay in jurisdictions that adopt; overcoming barriers to evidence collection; and improving levels of expected implementation. Further, the greater strength and translatability of evidence across jurisdictions inherent in optimal global trial design reduces barriers to translation across jurisdictions characteristic of local trials. Consequently, efficiently designed global trials better align the interests of decision makers and manufacturers, increasing the feasibility of risk sharing and the expected strength of evidence over local trials, up until the point that current evidence is globally sufficient.

  3. Barriers and challenges in adopting Saudi telemedicine network: The perceptions of decision makers of healthcare facilities in Saudi Arabia.

    Science.gov (United States)

    Alaboudi, Abdulellah; Atkins, Anthony; Sharp, Bernadette; Balkhair, Ahmed; Alzahrani, Mohammed; Sunbul, Tamara

    Despite emerging evidence about the benefits of telemedicine, there are still many barriers and challenges to its adoption. Its adoption is often cited as a failed project because 75% of them are abandoned or 'failed outright' and this percentage increases to 90% in developing countries. The literature has clarified that there is neither one-size-fit-all framework nor best-practice solution for all ICT innovations or for all countries. Barriers and challenges in adopting and implementing one ICT innovation in a given country/organisation may not be similar - not for the same ICT innovation in another country/organisation nor for another ICT innovation in the same country/organisation. To the best of our knowledge, no comprehensive scientific study has investigated these challenges and barriers in all Healthcare Facilities (HCFs) across the Kingdom of Saudi Arabia (KSA). This research, which is undertaken based on the Saudi Telemedicine Network roadmap and in collaboration with the Saudi Ministry of Health (MOH), is aimed at identifying the principle predictive challenges and barriers in the context of the KSA, and understanding the perspective of the decision makers of each HCF type, sector, and location. Three theories are used to underpin this research: the Unified Theory of Acceptance and Use of Technology (UTAUT), the Technology-Organisation-Environment (TOE) theoretical framework, and the Evaluating Telemedicine Systems Success Model (ETSSM). This study applies a three-sequential-phase approach by using three mixed methods (i.e., literature review, interviews, and questionnaires) in order to utilise the source triangulation and the data comparison analysis technique. The findings of this study show that the top three influential barriers to adopt and implement telemedicine by the HCF decision makers are: (i) the availability of adequate sustainable financial support to implement, operate, and maintain the telemedicine system, (ii) ensuring conformity of

  4. Transportation Energy Futures: Key Opportunities and Tools for Decision Makers (Brochure)

    Energy Technology Data Exchange (ETDEWEB)

    2012-12-01

    The Transportation Energy Futures (TEF) project examines underexplored greenhouse gas-abatement and oil-savings opportunities by consolidating transportation energy knowledge, conducting advanced analysis, and exploring additional opportunities for sound strategic action. Led by NREL, in collaboration with Argonne National Laboratory, the project's primary goal is to provide analysis to accompany DOE-EERE's long-term transportation energy planning by addressing high-priority questions, informing domestic decisions about transportation energy strategies, priorities, and investments. Research and analysis were conducted with an eye toward short-term actions that support long-term energy goals The project looks beyond technology to examine each key question in the context of the marketplace, consumer behavior, industry capabilities, and infrastructure. This updated fact sheet includes a new section on initial project findings.

  5. Application of a plume model for decision makers' situation awareness during an outdoor airborne HAZMAT release.

    Science.gov (United States)

    Meris, Ronald G; Barbera, Joseph A

    2014-01-01

    In a large-scale outdoor, airborne, hazardous materials (HAZMAT) incident, such as ruptured chlorine rail cars during a train derailment, the local Incident Commanders and HAZMAT emergency responders must obtain accurate information quickly to assess the situation and act promptly and appropriately. HAZMAT responders must have a clear understanding of key information and how to integrate it into timely and effective decisions for action planning. This study examined the use of HAZMAT plume modeling as a decision support tool during incident action planning in this type of extreme HAZMAT incident. The concept of situation awareness as presented by Endsley's dynamic situation awareness model contains three levels: perception, comprehension, and projection. It was used to examine the actions of incident managers related to adequate data acquisition, current situational understanding, and accurate situation projection. Scientists and engineers have created software to simulate and predict HAZMAT plume behavior, the projected hazard impact areas, and the associated health effects. Incorporating the use of HAZMAT plume projection modeling into an incident action plan may be a complex process. The present analysis used a mixed qualitative and quantitative methodological approach and examined the use and limitations of a "HAZMAT Plume Modeling Cycle" process that can be integrated into the incident action planning cycle. HAZMAT response experts were interviewed using a computer-based simulation. One of the research conclusions indicated the "HAZMAT Plume Modeling Cycle" is a critical function so that an individual/team can be tasked with continually updating the hazard plume model with evolving data, promoting more accurate situation awareness.

  6. The CAULDRON game: Helping decision makers understand extreme weather event attribution

    Science.gov (United States)

    Walton, P.; Otto, F. E. L.

    2014-12-01

    There is a recognition from academics and stakeholders that climate science has a fundamental role to play in the decision making process, but too frequently there is still uncertainty about what, when, how and why to use it. Stakeholders suggest that it is because the science is presented in an inaccessible manner, while academics suggest it is because the stakeholders do not have the scientific knowledge to understand and apply the science appropriately. What is apparent is that stakeholders need support, and that there is an onus on academia to provide it. This support is even more important with recent developments in climate science, such as extreme weather event attribution. We are already seeing the impacts of extreme weather events around the world causing lost of life and damage to property and infrastructure with current research suggesting that these events could become more frequent and more intense. If this is to be the case then a better understanding of the science will be vital in developing robust adaptation and business planning. The use of games, role playing and simulations to aid learning has long been understood in education but less so as a tool to support stakeholder understanding of climate science. Providing a 'safe' space where participants can actively engage with concepts, ideas and often emotions, can lead to deep understanding that is not possible through more passive mechanisms such as papers and web sites. This paper reports on a game that was developed through a collaboration led by the Red Cross/Red Crescent, University of Oxford and University of Reading to help stakeholders understand the role of weather event attribution in the decision making process. The game has already been played successfully at a number of high profile events including COP 19 and the African Climate Conference. It has also been used with students as part of a postgraduate environmental management course. As well as describing the design principles of the

  7. Sharing NASA Science with Decision Makers: A Perspective from NASA's Applied Remote Sensing Training (ARSET) Program

    Science.gov (United States)

    Prados, A. I.; Blevins, B.; Hook, E.

    2015-12-01

    NASA ARSET http://arset.gsfc.nasa.gov has been providing applied remote sensing training since 2008. The goals of the program are to develop the technical and analytical skills necessary to utilize NASA resources for decision-support. The program has reached over 3500 participants, with 1600 stakeholders from 100 countries in 2015 alone. The target audience for the program are professionals engaged in environmental management in the public and private sectors, such as air quality forecasters, public utilities, water managers and non-governmental organizations engaged in conservation. Many program participants have little or no expertise in NASA remote sensing, and it's frequently their very first exposure to NASA's vast resources. One the key challenges for the program has been the evolution and refinement of its approach to communicating NASA data access, research, and ultimately its value to stakeholders. We discuss ARSET's best practices for sharing NASA science, which include 1) training ARSET staff and other NASA scientists on methods for science communication, 2) communicating the proper amount of scientific information at a level that is commensurate with the technical skills of program participants, 3) communicating the benefit of NASA resources to stakeholders, and 4) getting to know the audience and tailoring the message so that science information is conveyed within the context of agencies' unique environmental challenges.

  8. Counter-Factual Reinforcement Learning: How to Model Decision-Makers That Anticipate The Future

    OpenAIRE

    Lee, Ritchie; Wolpert, David H.; Bono, James; Backhaus, Scott; Bent, Russell; Tracey, Brendan

    2012-01-01

    This paper introduces a novel framework for modeling interacting humans in a multi-stage game. This "iterated semi network-form game" framework has the following desirable characteristics: (1) Bounded rational players, (2) strategic players (i.e., players account for one another's reward functions when predicting one another's behavior), and (3) computational tractability even on real-world systems. We achieve these benefits by combining concepts from game theory and reinforcement learning. T...

  9. GAIA - a generalizable, extensible structure for integrating games, models and social networking to support decision makers

    Science.gov (United States)

    Paxton, L. J.; Schaefer, R. K.; Nix, M.; Fountain, G. H.; Weiss, M.; Swartz, W. H.; Parker, C. L.; MacDonald, L.; Ihde, A. G.; Simpkins, S.; GAIA Team

    2011-12-01

    In this paper we describe the application of a proven methodology for modeling the complex social and economic interactions embodied in real-world decision making to water scarcity and water resources. We have developed a generalizable, extensible facility we call "GAIA" - Global Assimilation of Information for Action - and applied it to different problem sets. We describe the use of the "Green Country Model" and other gaming/simulation tools to address the impacts of climate and climate disruption issues at the intersection of science, economics, policy, and society. There is a long history in the Defense community of using what are known as strategic simulations or "wargames" to model the complex interactions between the environment, people, resources, infrastructure and the economy in a competitive environment. We describe in this paper, work that we have done on understanding how this heritage can be repurposed to help us explore how the complex interplay between climate disruption and our socio/political and economic structures will affect our future. Our focus here is on a fundamental and growing issue - water and water availability. We consider water and the role of "virtual water" in the system. Various "actors" are included in the simulations. While these simulations cannot definitively predict what will happen, they do illuminate non-linear feedbacks between, for example, treaty agreement, the environment, the economy, and the government. These simulations can be focused on the global, regional, or local environment. We note that these simulations are not "zero sum" games - there need not be a winner and a loser. They are, however, competitive influence games: they represent the tools that a nation, state, faction or group has at its disposal to influence policy (diplomacy), finances, industry (economy), infrastructure, information, etc to achieve their particular goals. As in the real world the problem is competitive - not everyone shares the same

  10. An exploratory study identifying where local government public health decision makers source their evidence for policy.

    Science.gov (United States)

    Stoneham, Melissa; Dodds, James

    2014-08-01

    The Western Australian (WA) Public Health Bill will replace the antiquated Health Act 1911. One of the proposed clauses of the Bill requires all WA local governments to develop a Public Health Plan. The Bill states that Public Health Plans should be based on evidence from all levels, including national and statewide priorities, community needs, local statistical evidence, and stakeholder data. This exploratory study, which targeted 533 WA local government officers, aimed to identify the sources of evidence used to generate the list of public health risks to be included in local government Public Health Plans. The top four sources identified for informing local policy were: observation of the consequences of the risks in the local community (24.5%), statewide evidence (17.6%), local evidence (17.6%) and coverage in local media (16.2%). This study confirms that both hard and soft data are used to inform policy decisions at the local level. Therefore, the challenge that this study has highlighted is in the definition or constitution of evidence. SO WHAT? Evidence is critical to the process of sound policy development. This study highlights issues associated with what actually constitutes evidence in the policy development process at the local government level. With the exception of those who work in an extremely narrow field, it is difficult for local government officers, whose role includes policymaking, to read the vast amount of information that has been published in their area of expertise. For those who are committed to the notion of evidence-based policymaking, as advocated within the WA Public Health Bill, this presents a considerable challenge.

  11. The ecological model web concept: A consultative infrastructure for researchers and decision makers using a Service Oriented Architecture

    Science.gov (United States)

    Geller, Gary

    2010-05-01

    Rapid climate and socioeconomic changes may be outrunning society's ability to understand, predict, and respond to change effectively. Decision makers such as natural resource managers want better information about what these changes will be and how the resources they are managing will be affected. Researchers want better understanding of the components and processes of ecological systems, how they interact, and how they respond to change. Nearly all these activities require computer models to make ecological forecasts that can address "what if" questions. However, despite many excellent models in ecology and related disciplines, there is no coordinated model system—that is, a model infrastructure--that researchers or decision makers can consult to gain insight on important ecological questions or help them make decisions. While this is partly due to the complexity of the science, to lack of critical observations, and other issues, limited access to and sharing of models and model outputs is a factor as well. An infrastructure that increased access to and sharing of models and model outputs would benefit researchers, decision makers of all kinds, and modelers. One path to such a "consultative infrastructure" for ecological forecasting is called the Model Web, a concept for an open-ended system of interoperable computer models and databases communicating using a Service Oriented Architectures (SOA). Initially, it could consist of a core of several models, perhaps made interoperable retroactively, and then it could grow gradually as new models or databases were added. Because some models provide basic information of use to many other models, such as simple physical parameters, these "keystone" models are of particular importance in a model web. In the long run, a model web would not be rigidly planned and built--instead, like the World Wide Web, it would grow largely organically, with limited central control, within a framework of broad goals and data exchange

  12. BiFold: visualizing decision-makers and choice in a common embedding space

    CERN Document Server

    Jiang, Yazhen; Sun, Jie

    2016-01-01

    The emerging domain of data-enabled science necessitates development of algorithms and tools to provide for knowledge discovery. Human interaction with data through well-constructed graphical representation can take special advantage of our visual processing system's ability to identify patterns. We develop a data visualization framework, called BiFold, for exploratory analysis of binary relationships between two groups of objects. Typical data examples would include voting records, organizational memberships, and pairwise associations, or other binary datasets. BiFold visualization provides a low dimensional embedding of the data in a way that captures similarity by visual nearness, analogous to Multidimensional Scaling (MDS). The unique and new feature of BiFold is its ability to simultaneously capture both the within-group and between-group relationships among the objects, significantly enhancing visual knowledge discovery. We benchmark BiFold using the classic Southern Women Dataset, where previously iden...

  13. How is the New Public Management applied in the occupational health care system? - decision-makers' and OH personnel's views in Finland

    Directory of Open Access Journals (Sweden)

    Rissanen Sari

    2011-08-01

    Full Text Available Abstract Background In many countries occupational health care system is in change. Occupational health studies are mainly focused on occupational health substance and content. This study offers new perspectives on municipal OHS and its operations from management perspective. Aim The aim of this study is to analyse how New Public Management (NPM doctrines are applied in the Finnish occupational health care system (OHS. The main focus is to describe and compare the views of decision-makers' and OH workers within the framework of NPM. Methods The data were collected by semi-structured interviews from 17 municipal decision-makers' and 26 municipal OH workers. Data was analyzed by examining coded data in a theory-driven way according to Hood's doctrine of NPM. Results The doctrines were not as compatible with the OH personnel view as with the decision-makers' view. Decision-makers and OH personnel highlighted the strict criteria required for operation evaluation. Moreover, decision-makers strongly accentuated professional management in the public sector and the reorganization of public sector units. These were not equally relevant in OH personnel views. In OH personnel views, other doctrines (more attention to performance and accomplishments, emphasizing and augmentation of the competition and better control of public expense and means test were not similarly in evidence, only weak evidence was observed when their importance viewed as medium by decision-makers. Neither of the respondents group kept the doctrine of management models of the private sector relevant. Conclusions The NPM and Hoods doctrine fitted well with OH research. The doctrine brought out view differences and similarities between decision-makers and OH personnel. For example, policymakers highlighted more strongly the structural change by emphasizing professional management compared to OH personnel. The need for reorganization of municipal OH, regardless of different operational

  14. Breast Cancer Risk Estimation and Personal Insurance: A Qualitative Study Presenting Perspectives from Canadian Patients and Decision Makers

    Directory of Open Access Journals (Sweden)

    Gratien Dalpé

    2017-09-01

    Full Text Available Genetic stratification approaches in personalized medicine may considerably improve our ability to predict breast cancer risk for women at higher risk of developing breast cancer. Notwithstanding these advantages, concerns have been raised about the use of the genetic information derived in these processes, outside of the research and medical health care settings, by third parties such as insurers. Indeed, insurance applicants are asked to consent to insurers accessing their medical information (implicitly including genetic to verify or determine their insurability level, or eligibility to certain insurance products. This use of genetic information may result in the differential treatment of individuals based on their genetic information, which could lead to higher premium, exclusionary clauses or even the denial of coverage. This phenomenon has been commonly referred to as “Genetic Discrimination” (GD. In the Canadian context, where federal Bill S-201, An Act to prohibit and prevent genetic discrimination, has recently been enacted but may be subject to constitutional challenges, information about potential risks to insurability may raise issues in the clinical context. We conducted a survey with women in Quebec who have never been diagnosed with breast cancer to document their perspectives. We complemented the research with data from 14 semi-structured interviews with decision-makers in Quebec to discuss institutional issues raised by the use of genetic information by insurers. Our results provide findings on five main issues: (1 the reluctance to undergo genetic screening test due to insurability concerns, (2 insurers' interest in genetic information, (3 the duty to disclose genetic information to insurers, (4 the disclosure of potential impacts on insurability before genetic testing, and (5 the status of genetic information compared to other health data. Overall, both groups of participants (the women surveyed and the decision-makers

  15. Exploring the Ocean Through Climate Indicators: What Do Research, Predictions, and Decision-makers Need to Know?

    Science.gov (United States)

    Arrigo, J. S.

    2015-12-01

    There are several new and ongoing efforts around communicating climate and global change and variability by developing Climate Indicators (e.g. the US Global Change Research Project's Pilot Indicators Program, the US EPA's Climate Change Indicators, and the Ocean Observations Panel for Climate State of the Ocean indicators). Indicators provide information tailored to identified stakeholders and facilitate monitoring status, trends, extremes and variability of important climate features or processes. NOAA's Climate Monitoring program is in the middle of a three-year initiative toward supporting research toward the development of Ocean Climate Indicators for research, prediction, and decision makers. These indices combine ocean observations, climate data and products from platforms like (but not limited to) the drifting buoy, Argo, satellite, and buoy arrays that provide fundamental observations that contribute towards climate understanding, predictions, and projections. The program is supporting eight distinct projects that focus on primarily regional indices that target varied stakeholders and outreach strategies - from public awareness and education to targeted model performance improvement. This presentation will discuss the diverse set of projects, initial results, and discuss possibilities for and examples of using the indicators and processes for developing them for broader science outreach and education, with an eye toward the aim of organizing the ocean climate and observing community around developing a comprehensive ocean monitoring and indicators system.

  16. Haitian and international responders' and decision-makers' perspectives regarding disability and the response to the 2010 Haiti earthquake.

    Science.gov (United States)

    Hunt, Matthew R; Chung, Ryoa; Durocher, Evelyne; Henrys, Jean Hugues

    2015-01-01

    Following disasters, persons with disabilities (PWD) are especially vulnerable to harm, yet they have commonly been excluded from disaster planning, and their needs have been poorly addressed during disaster relief. Following the 2010 Haiti earthquake, thousands of individuals experienced acute injuries. Many more individuals with preexisting disabilities experienced heightened vulnerability related to considerations including safety, access to services, and meeting basic needs. The objective of this research was to better understand the perceptions of responders and decision-makers regarding disability and efforts to address the needs of PWD following the 2010 earthquake. We conducted a qualitative study using interpretive description methodology and semistructured interviews with 14 Haitian and 10 international participants who were involved in the earthquake response. Participants identified PWD as being among the most vulnerable individuals following the earthquake. Though some forms of disability received considerable attention in aid efforts, the needs of other PWD did not. Several factors were identified as challenges for efforts to address the needs of PWD including lack of coordination and information sharing, the involvement of multiple aid sectors, perceptions that this should be the responsibility of specialized organizations, and the need to prioritize limited resources. Participants also reported shifts in local social views related to disability following the earthquake. Addressing the needs of PWD following a disaster is a crucial population health challenge and raises questions related to equity and responsibility for non-governmental organizations, governments, and local communities.

  17. Multi-criteria decision analysis of breast cancer control in low- and middle- income countries: development of a rating tool for policy makers

    NARCIS (Netherlands)

    Venhorst, K.; Zelle, S.G.; Tromp, N.; Lauer, J.A.

    2014-01-01

    BACKGROUND: The objective of this study was to develop a rating tool for policy makers to prioritize breast cancer interventions in low- and middle- income countries (LMICs), based on a simple multi-criteria decision analysis (MCDA) approach. The definition and identification of criteria play a key

  18. Joint research project to develop a training course or nuclear policy decision makers and planners in developing countries between KAERI and IAEA

    Energy Technology Data Exchange (ETDEWEB)

    Lee, E. J.; Suh, I. S.; Lee, H. Y. and others

    2000-12-01

    KAERI developed training course curricula on nuclear power policy and planning for decision makers and planners in developing countries under the assistance of the IAEA. It was utilized two IAEA staff members and a Korean consultation group were utilized for the development of curricula. Curriculum consists of training objectives, training contents in modular basis, detailed contents of each training module, training setting, training duration, session hours, and entry requirements of audience. One is workshop on nuclear energy policy for high-level decision makers in developing countries. The other is training course on nuclear power planning and project management for middle level managers in developing countries. The textbook in English will be printed by the end of February in 2001. Developed curricula will be implemented for Vietnam high level nuclear decision makers, middle level managers in developing countries and north Korea nuclear high level decision makers in 2001. These training courses' curricula and textbook will be utilized as basic technical documents to promote the national nuclear bilateral technical cooperation programs with Morocco, Egypt, Bangladesh, Indonesia, Ukraine, etc.

  19. Introducing economic evaluation as a policy tool in Korea: Will decision makers get quality information? A critical review of published Korean economic evaluations

    NARCIS (Netherlands)

    K.-S. Lee (Kun-Sei); W.B.F. Brouwer (Werner); S.-I. Lee (Sang-Il); H.-W. Koo (Hye-Won)

    2005-01-01

    textabstractInterest in the use of economic evaluations in Korea as an aid for healthcare decision makers has been growing rapidly since the financial crisis of the Korean National Health Insurance fund and the separation in 2000 of the roles of prescribing and dispensing drugs. The Korean Health In

  20. Multi-criteria decision analysis of breast cancer control in low- and middle- income countries: development of a rating tool for policy makers

    NARCIS (Netherlands)

    Venhorst, K.; Zelle, S.G.; Tromp, N.; Lauer, J.A.

    2014-01-01

    BACKGROUND: The objective of this study was to develop a rating tool for policy makers to prioritize breast cancer interventions in low- and middle- income countries (LMICs), based on a simple multi-criteria decision analysis (MCDA) approach. The definition and identification of criteria play a key

  1. Fuzzy multi-criteria decision-making method based on decision maker's Vague confidence%基于决策者Vague信心度的模糊多准则方法

    Institute of Scientific and Technical Information of China (English)

    王坚强; 张红宇; 秦育智

    2011-01-01

    Trapezoidal Vague numbers and the decision maker's Vague confidence degree based on the risk attitude of decision maker are defined. A fuzzy multi-criteria decision making method based on decision maker's Vague confidence degree under incomplete information is proposed. In this method, criteria weights are derived through a linear programming model, and the decision maker's confidence degrees for alternatives are obtained through integrating all the decision maker's confidence degrees of criteria values in every alternative.Alternatives are ranked with the possibility degree method. An example shows that the proposed method is reasonable and effective.%定义了梯形Vague数和基于决策者风险态度的Vague信心度,提出了一种基于决策者Vague信心度的信息不完全的模糊多准则决策方法.该方法利用线性规划模型求出准则权重,并对方案在各个准则值下的决策者的Vague信心度进行集成,求出决策者对各个方案的综合信心度,进而利用可能度法对方案进行排序.最后实例验证了所提出方法的合理性与有效性.

  2. Planning, Decisions, and Human Nature.

    Science.gov (United States)

    Keller, George

    1998-01-01

    Brings the perspectives of five individuals (Sigmund Freud, Karl Marx, Charles Darwin, Johann von Herder, James Madison) to the question of why humans behave as they do when faced with the need for decision making and change in higher education. Argues that effecting change is easier if leaders attend to the concerns and fears of those affected by…

  3. Planning, Decisions, and Human Nature.

    Science.gov (United States)

    Keller, George

    1998-01-01

    Brings the perspectives of five individuals (Sigmund Freud, Karl Marx, Charles Darwin, Johann von Herder, James Madison) to the question of why humans behave as they do when faced with the need for decision making and change in higher education. Argues that effecting change is easier if leaders attend to the concerns and fears of those affected by…

  4. Corporate financial decision makers' perceptions of their company's safety performance, programs and personnel: Do company size and industry injury risk matter?

    Science.gov (United States)

    DeArmond, Sarah; Huang, Yueng-Hsiang; Chen, Peter Y; Courtney, Theodore K

    2010-01-01

    Top-level managers make important decisions about safety-related issues, yet little research has been done involving these individuals. The current study explored corporate financial decisions makers' perceptions of their company's safety and their justifications for these perceptions. This study also explored whether their perceptions and justifications varied as a function of company size or industry injury risk. A total of 404 individuals who were the most senior managers responsible for making decisions about property and casualty risk at their companies participated in this study. The participants took part in a telephone survey. The results suggest that corporate financial decision makers have positive views of safety at their companies relative to safety at other companies within their industries. Further, many believe their company's safety is influenced by the attention/emphasis placed on safety and the selection and training of safety personnel. Participants' perceptions varied somewhat based on the size of their company and the level of injury risk in their industry. While definitive conclusions about corporate financial decision makers' perceptions of safety cannot be reached as a result of this single study, this work does lay groundwork for future research aimed at better understanding the perceptions top-level managers.

  5. From drought indicators to impacts: developing improved tools for monitoring and early warning with decision-makers in mind

    Science.gov (United States)

    Hannaford, Jamie; Barker, Lucy; Svensson, Cecilia; Tanguy, Maliko; Laize, Cedric; Bachmair, Sophie; Tijdeman, Erik; Stahl, Kerstin; Collins, Kevin

    2016-04-01

    of M&EW and future aspirations. Different stakeholders clearly have different goals for M&EW, but there are a number of common themes, including a desire to better understand the links between the outputs of large-scale M&EW systems (rainfall, river flow, etc), localised triggers used by decision-makers during drought episodes, and actual impacts of drought. Secondly, we present analyses designed to test the utility of a wide range of drought indicators for their use in UK applications. We demonstrate the suitability of standardised indicators (like the SPI) for use in the UK, addressing the suitability of statistical distributions and using these indicators for drought severity quantification and for understanding propagation from meteorological to hydrological drought; all of which are currently poorly understood aspects that are vital for future monitoring. We then address the extent to which these indicators can be used to predict drought impacts, focusing on several sectors (water supply, agriculture and ecosystems). These analyses test which indicators perform best at predicting drought impacts, and seek to identify indicator thresholds that trigger impact occurrence. Unsurprisingly, we found that no single indicator best predicts impacts, and results are domain, sector and season specific. However, we reveal important linkages between indicators and impacts that could enhance the design and delivery of monitoring and forecasting information and its uptake by decision-makers concerned with drought.

  6. Age Targeting of Voluntary Medical Male Circumcision Programs Using the Decision Makers' Program Planning Toolkit (DMPPT 2.0.

    Directory of Open Access Journals (Sweden)

    Katharine Kripke

    Full Text Available Despite considerable efforts to scale up voluntary medical male circumcision (VMMC for HIV prevention in priority countries over the last five years, implementation has faced important challenges. Seeking to enhance the effect of VMMC programs for greatest and most immediate impact, the U. S. President's Plan for AIDS Relief (PEPFAR supported the development and application of a model to inform national planning in five countries from 2013-2014.The Decision Makers' Program Planning Toolkit (DMPPT 2.0 is a simple compartmental model designed to analyze the effects of client age and geography on program impact and cost. The DMPPT 2.0 model was applied in Malawi, South Africa, Swaziland, Tanzania, and Uganda to assess the impact and cost of scaling up age-targeted VMMC coverage. The lowest number of VMMCs per HIV infection averted would be produced by circumcising males ages 20-34 in Malawi, South Africa, Tanzania, and Uganda and males ages 15-34 in Swaziland. The most immediate impact on HIV incidence would be generated by circumcising males ages 20-34 in Malawi, South Africa, Tanzania, and Uganda and males ages 20-29 in Swaziland. The greatest reductions in HIV incidence over a 15-year period would be achieved by strategies focused on males ages 10-19 in Uganda, 15-24 in Malawi and South Africa, 10-24 in Tanzania, and 15-29 in Swaziland. In all countries, the lowest cost per HIV infection averted would be achieved by circumcising males ages 15-34, although in Uganda this cost is the same as that attained by circumcising 15- to 49-year-olds.The efficiency, immediacy of impact, magnitude of impact, and cost-effectiveness of VMMC scale-up are not uniform; there is important variation by age group of the males circumcised and countries should plan accordingly.

  7. Handbook - TRACE-ing human trafficking : Handbook for policy makers, law enforcement agencies and civil society organisations

    NARCIS (Netherlands)

    Rijken, Conny; Pijnenburg, Annick

    2016-01-01

    Human trafficking is one of the largest criminal enterprises in the world. It is a multi-billiondollar crime of global scale. This is because human trafficking as a criminal enterprise continues to evolve as a high profit-low risk business for perpetrators and challenges policy makers, law enforceme

  8. Decision Making and Training: A Review of Theoretical and Empirical Studies of Decision Making and Their Implications for the Training of Decision Makers

    Science.gov (United States)

    1975-08-01

    1959. b Schlaifer, R. Anais 2f decisions under uncertainitv. New York: McGraw-Hill, 1969. Schopenhauer , A. The art of controversy. In J. B. Saunders...Ed.), 7_11a s qf L u Schopenhauer , New York: Wiley Book Co., no date. Schrenk, L. P. Objective difficulty and input history in sequential decision

  9. Computerized clinical decision support systems for acute care management: A decision-maker-researcher partnership systematic review of effects on process of care and patient outcomes

    Directory of Open Access Journals (Sweden)

    Sahota Navdeep

    2011-08-01

    Full Text Available Abstract Background Acute medical care often demands timely, accurate decisions in complex situations. Computerized clinical decision support systems (CCDSSs have many features that could help. However, as for any medical intervention, claims that CCDSSs improve care processes and patient outcomes need to be rigorously assessed. The objective of this review was to systematically review the effects of CCDSSs on process of care and patient outcomes for acute medical care. Methods We conducted a decision-maker-researcher partnership systematic review. MEDLINE, EMBASE, Evidence-Based Medicine Reviews databases (Cochrane Database of Systematic Reviews, DARE, ACP Journal Club, and others, and the Inspec bibliographic database were searched to January 2010, in all languages, for randomized controlled trials (RCTs of CCDSSs in all clinical areas. We included RCTs that evaluated the effect on process of care or patient outcomes of a CCDSS used for acute medical care compared with care provided without a CCDSS. A study was considered to have a positive effect (i.e., CCDSS showed improvement if at least 50% of the relevant study outcomes were statistically significantly positive. Results Thirty-six studies met our inclusion criteria for acute medical care. The CCDSS improved process of care in 63% (22/35 of studies, including 64% (9/14 of medication dosing assistants, 82% (9/11 of management assistants using alerts/reminders, 38% (3/8 of management assistants using guidelines/algorithms, and 67% (2/3 of diagnostic assistants. Twenty studies evaluated patient outcomes, of which three (15% reported improvements, all of which were medication dosing assistants. Conclusion The majority of CCDSSs demonstrated improvements in process of care, but patient outcomes were less likely to be evaluated and far less likely to show positive results.

  10. Memento of decision makers: the national organizations involved in the mastery of greenhouse gas emissions; Memento des decideurs: les collectivites territoriales engagees dans la maitrise des emissions de gaz a effet de serre

    Energy Technology Data Exchange (ETDEWEB)

    NONE

    2003-07-01

    In front of the risks linked with the increase of the greenhouse gas emissions in the atmosphere, the decision makers must take into consideration first, the scientific advice of climatic change experts, and second, the considerable inertia of the climatic system. Thus, any action implemented so far will have an impact all along the 21. century and later whatever the future human activities. The aim of this memento is to sensibilize the decision makers about the possible consequences of their choice in terms of volume of greenhouse gases and of medium- and long-term evolution: 1 - stakes, role of local decision-makers (greenhouse effect and climatic change, France's international commitment, stakes, liabilities of local decision makers, decentralization laws, local plans of fight against greenhouse effect, public information and dialogue); 2 - urbanism and transports (urban displacements, alternatives to individual cars, collective transportation systems, parking, inter-region transports, goods transport, local urbanization plan, localization of activities, vehicle fleets of local authorities, companies transportation plans); 3 - buildings (energy conservation and consumption in municipal and social buildings, high environmental quality approach, management of maintenance and exploitation contracts, choice of building materials and space heating systems, air-conditioning and space cooling, mastery of power demand, recreational, cultural, school and public health buildings, insulation of buildings); 4 - energy utilities, production and distribution (public lighting, water treatment, municipal wastes, use of renewable energies, cogeneration, district heating networks, power distribution in rural areas: mastery of consumptions and decentralized production, wood-fuel and biomass valorization); 5 - other possible domains of action (tourism, agriculture, forestry and by-products, north-south solidarity with new partnerships). (J.S.)

  11. Finding common ground to achieve a “good death”: family physicians working with substitute decision-makers of dying patients. A qualitative grounded theory study

    Directory of Open Access Journals (Sweden)

    Tan Amy

    2013-01-01

    Full Text Available Abstract Background Substitute decision-makers are integral to the care of dying patients and make many healthcare decisions for patients. Unfortunately, conflict between physicians and surrogate decision-makers is not uncommon in end-of-life care and this could contribute to a “bad death” experience for the patient and family. We aim to describe Canadian family physicians’ experiences of conflict with substitute decision-makers of dying patients to identify factors that may facilitate or hinder the end-of-life decision-making process. This insight will help determine how to best manage these complex situations, ultimately improving the overall care of dying patients. Methods Grounded Theory methodology was used with semi-structured interviews of family physicians in Edmonton, Canada, who experienced conflict with substitute decision-makers of dying patients. Purposeful sampling included maximum variation and theoretical sampling strategies. Interviews were audio-taped, and transcribed verbatim. Transcripts, field notes and memos were coded using the constant-comparative method to identify key concepts until saturation was achieved and a theoretical framework emerged. Results Eleven family physicians with a range of 3 to 40 years in clinical practice participated. The family physicians expressed a desire to achieve a “good death” and described their role in positively influencing the experience of death. Finding Common Ground to Achieve a “Good Death” for the Patient emerged as an important process which includes 1 Building Mutual Trust and Rapport through identifying key players and delivering manageable amounts of information, 2 Understanding One Another through active listening and ultimately, and 3 Making Informed, Shared Decisions. Facilitators and barriers to achieving Common Ground were identified. Barriers were linked to conflict. The inability to resolve an overt conflict may lead to an impasse at any point. A process for

  12. Finding common ground to achieve a "good death": family physicians working with substitute decision-makers of dying patients. A qualitative grounded theory study.

    Science.gov (United States)

    Tan, Amy; Manca, Donna

    2013-01-22

    Substitute decision-makers are integral to the care of dying patients and make many healthcare decisions for patients. Unfortunately, conflict between physicians and surrogate decision-makers is not uncommon in end-of-life care and this could contribute to a "bad death" experience for the patient and family. We aim to describe Canadian family physicians' experiences of conflict with substitute decision-makers of dying patients to identify factors that may facilitate or hinder the end-of-life decision-making process. This insight will help determine how to best manage these complex situations, ultimately improving the overall care of dying patients. Grounded Theory methodology was used with semi-structured interviews of family physicians in Edmonton, Canada, who experienced conflict with substitute decision-makers of dying patients. Purposeful sampling included maximum variation and theoretical sampling strategies. Interviews were audio-taped, and transcribed verbatim. Transcripts, field notes and memos were coded using the constant-comparative method to identify key concepts until saturation was achieved and a theoretical framework emerged. Eleven family physicians with a range of 3 to 40 years in clinical practice participated.The family physicians expressed a desire to achieve a "good death" and described their role in positively influencing the experience of death.Finding Common Ground to Achieve a "Good Death" for the Patient emerged as an important process which includes 1) Building Mutual Trust and Rapport through identifying key players and delivering manageable amounts of information, 2) Understanding One Another through active listening and ultimately, and 3) Making Informed, Shared Decisions. Facilitators and barriers to achieving Common Ground were identified. Barriers were linked to conflict. The inability to resolve an overt conflict may lead to an impasse at any point. A process for Resolving an Impasse is described. A novel framework for developing

  13. Multi-criteria decision analysis of breast cancer control in low- and middle- income countries: development of a rating tool for policy makers

    OpenAIRE

    Venhorst, K.; Zelle, S.G.; Tromp, N.; Lauer, J.A.

    2014-01-01

    BACKGROUND: The objective of this study was to develop a rating tool for policy makers to prioritize breast cancer interventions in low- and middle- income countries (LMICs), based on a simple multi-criteria decision analysis (MCDA) approach. The definition and identification of criteria play a key role in MCDA, and our rating tool could be used as part of a broader priority setting exercise in a local setting. This tool may contribute to a more transparent priority-setting process and fairer...

  14. Market assessment for active solar heating and cooling products. Category B: a survey of decision-makers in the HVAC marketplace. Final report

    Energy Technology Data Exchange (ETDEWEB)

    None

    1980-09-01

    A comprehensive evaluation of the market for solar heating and cooling products for new and retrofit markets is reported. The emphasis is on the analysis of solar knowledge among HVAC decision makers and a comprehensive evaluation of their solar attitudes and behavior. The data from each of the following sectors are described and analyzed: residential consumers, organizational and manufacturing buildings, HVAC engineers and architects, builders/developers, and commercial/institutional segments. (MHR)

  15. Critical illness research involving collection of genomic data: the conundrum posed by low levels of genomic literacy among surrogate decision makers for critically ill patients.

    Science.gov (United States)

    Iverson, Ellen; Celious, Aaron; Shehane, Erica; Oerke, Mandy; Warren, Victoria; Eastman, Alexander; Kennedy, Carie R; Freeman, Bradley D

    2013-07-01

    Critical illness clinical trials that entail genomic data collection pose unique challenges. In this qualitative study, we found that surrogate decision makers (SDMs) for critically ill individuals, such as those who would be approached for study participation, appeared to have a limited grasp of genomic principles. We argue that low levels of genomic literacy should neither preclude nor be in conflict with the conduct of ethically rigorous clinical trials.

  16. Exploring the experiences of substitute decision-makers with an exception to consent in a paediatric resuscitation randomised controlled trial: study protocol for a qualitative research study.

    Science.gov (United States)

    Parker, Melissa J; de Laat, Sonya; Schwartz, Lisa

    2016-09-13

    Prospective informed consent is required for most research involving human participants; however, this is impracticable under some circumstances. The Tri-Council Policy Statement: Ethical Conduct for Research Involving Humans (TCPS) outlines the requirements for research involving human participants in Canada. The need for an exception to consent (deferred consent) is recognised and endorsed in the TCPS for research in individual medical emergencies; however, little is known about substitute decision-maker (SDM) experiences. A paediatric resuscitation trial (SQUEEZE) (NCT01973907) using an exception to consent process began enrolling at McMaster Children's Hospital in January 2014. This qualitative research study aims to generate new knowledge on SDM experiences with the exception to consent process as implemented in a randomised controlled trial. The SDMs of children enrolled into the SQUEEZE pilot trial will be the sampling frame from which ethics study participants will be derived. Qualitative research study involving individual interviews and grounded theory methodology. SDMs for children enrolled into the SQUEEZE pilot trial. Up to 25 SDMs. Qualitative methodology: SDMs will be invited to participate in the qualitative ethics study. Interviews with consenting SDMs will be conducted in person or by telephone, taped and professionally transcribed. Participants will be encouraged to elaborate on their experience of being asked to consent after the fact and how this process occurred. Data gathering and analysis will be undertaken simultaneously. The investigators will collaborate in developing the coding scheme, and data will be coded using NVivo. Emerging themes will be identified. This research represents a rare opportunity to interview parents/guardians of critically ill children enrolled into a resuscitation trial without their knowledge or prior consent. Findings will inform implementation of the exception to consent process in the planned definitive SQUEEZE

  17. Possibilities and hindrances for prevention of intimate partner violence: perceptions among professionals and decision makers in a Swedish medium-sized town.

    Science.gov (United States)

    Jakobsson, A; von Borgstede, C; Krantz, G; Spak, F; Hensing, G

    2013-09-01

    Intimate partner violence (IPV) is a major public health problem, but few evidence-based prevention programs have yet been implemented. This study explored the perceptions and beliefs of local-level decision makers, social and health-care professionals, and representatives from the police force regarding the possibilities and hindrances for prevention of IPV. An explorative qualitative approach was used, and participants were strategically selected for focus group discussions. The participants, 19 men and 23 women, were professionals or decision makers within health-care services, social welfare, municipal administration, the police force, local industry, and local politicians in a Swedish town of 54,000 inhabitants. The focus group discussions were audio recorded, transcribed verbatim, and thematically analyzed. A manifest content analysis was performed on the text. Preschools, schools, sports associations, workplaces, and the mass media were suggested as possible arenas for prevention measures. The proposed activities included norm building and improved social support structures. Hindrances were conceptualized as societal beliefs and attitudes, shame, silence, gender inequality, the counteracting influence of the media, and lack of resources. The participants demonstrated closeness and distance to IPV, expressed as acceptance or referral of responsibility to others regarding where and by whom prevention measures should be executed. This study gave new insights in the prevailing perceptions of professionals and decision makers of a medium-sized Swedish town, which can be a useful knowledge in future preventive work and contribute to bridge the gap between research and practice.

  18. Examining the Educative Aims and Practices of Decision-Makers in Sport for Development and Peace Organizations

    Science.gov (United States)

    Svensson, Per G.; Hancock, Meg G.; Hums, Mary A.

    2016-01-01

    Sport for Development and Peace (SDP) policy-makers and practitioners continue to offer ambitious claims regarding the potential role of sport-based programs for promoting social change. Yet, it is important to put sport under a critical lens in order to develop a more balanced and realistic understanding of the role of sport in society. Whether…

  19. Simulation of human decision making

    Science.gov (United States)

    Forsythe, J. Chris; Speed, Ann E.; Jordan, Sabina E.; Xavier, Patrick G.

    2008-05-06

    A method for computer emulation of human decision making defines a plurality of concepts related to a domain and a plurality of situations related to the domain, where each situation is a combination of at least two of the concepts. Each concept and situation is represented in the computer as an oscillator output, and each situation and concept oscillator output is distinguishable from all other oscillator outputs. Information is input to the computer representative of detected concepts, and the computer compares the detected concepts with the stored situations to determine if a situation has occurred.

  20. I don't want to be the one saying 'we should just let him die': intrapersonal tensions experienced by surrogate decision makers in the ICU.

    Science.gov (United States)

    Schenker, Yael; Crowley-Matoka, Megan; Dohan, Daniel; Tiver, Greer A; Arnold, Robert M; White, Douglas B

    2012-12-01

    Although numerous studies have addressed external factors associated with difficulty in surrogate decision making, intrapersonal sources of tension are an important element of decision making that have received little attention. To characterize key intrapersonal tensions experienced by surrogate decision makers in the intensive care unit (ICU), and explore associated coping strategies. Qualitative interview study. Thirty surrogates from five ICUs at two hospitals in Pittsburgh, Pennsylvania, who were actively involved in making life-sustaining treatment decisions for a critically ill loved one. We conducted in-depth, semi-structured interviews with surrogates, focused on intrapersonal tensions, role challenges, and coping strategies. We analyzed transcripts using constant comparative methods. Surrogates experience significant emotional conflict between the desire to act in accordance with their loved one's values and 1) not wanting to feel responsible for a loved one's death, 2) a desire to pursue any chance of recovery, and 3) the need to preserve family well-being. Associated coping strategies included 1) recalling previous discussions with a loved one, 2) sharing decisions with family members, 3) delaying or deferring decision making, 4) spiritual/religious practices, and 5) story-telling. Surrogates' struggle to reconcile personal and family emotional needs with their loved ones' wishes, and utilize common coping strategies to combat intrapersonal tensions. These data suggest reasons surrogates may struggle to follow a strict substituted judgment standard. They also suggest ways clinicians may improve decision making, including attending to surrogates' emotions, facilitating family decision making, and eliciting potential emotional conflicts and spiritual needs.

  1. MED SUV TASK 6.3 Capacity building and interaction with decision makers: Improving volcanic risk communication through volcanic hazard tools evaluation, Campi Flegrei Caldera case study (Italy)

    Science.gov (United States)

    Nave, Rosella; Isaia, Roberto; Sandri, Laura; Cristiani, Chiara

    2016-04-01

    In the communication chain between scientists and decision makers (end users), scientific outputs, as maps, are a fundamental source of information on hazards zoning and the related at risk areas definition. Anyway the relationship between volcanic phenomena, their probability and potential impact can be complex and the geospatial information not easily decoded or understood by not experts even if decision makers. Focusing on volcanic hazard the goal of MED SUV WP6 Task 3 is to improve the communication efficacy of scientific outputs, to contribute in filling the gap between scientists and decision-makers. Campi Flegrei caldera, in Neapolitan area has been chosen as the pilot research area where to apply an evaluation/validation procedure to provide a robust evaluation of the volcanic maps and its validation resulting from end users response. The selected sample involved are decision makers and officials from Campanian Region Civil Protection and municipalities included in Campi Flegrei RED ZONE, the area exposed to risk from to pyroclastic currents hazard. Semi-structured interviews, with a sample of decision makers and civil protection officials have been conducted to acquire both quantitative and qualitative data. The tested maps have been: the official Campi Flegrei Caldera RED ZONE map, three maps produced by overlapping the Red Zone limit on Orthophoto, DTM and Contour map, as well as other maps included a probabilistic one, showing volcanological data used to border the Red Zone. The outcomes' analysis have assessed level of respondents' understanding of content as displayed, and their needs in representing the complex information embedded in volcanic hazard. The final output has been the development of a leaflet as "guidelines" that can support decision makers and officials in understanding volcanic hazard and risk maps, and also in using them as a communication tool in information program for the population at risk. The same evaluation /validation process

  2. Use of a knowledge synthesis by decision makers and planners to facilitate system level integration in a large Canadian provincial health authority

    Directory of Open Access Journals (Sweden)

    Esther Suter

    2011-03-01

    Full Text Available Purpose: The study is an examination of how a knowledge synthesis, conducted to fill an information gap identified by decision makers and planners responsible for integrating health systems in a western Canadian health authority, is being used within that organisation. Methods: Purposive sampling and snowball technique were used to identify 13 participants who were interviewed about how they are using the knowledge synthesis for health services planning and decision-making. Results: The knowledge synthesis is used by those involved in the strategic direction of the provincial healthcare organisation and those tasked with the operationalization of integration at the provincial or local level. Both groups most frequently use the ten key principles for integration, followed by the sections on integration processes, strategies and models. The key principles facilitate discussion on priority areas to be considered and provide a reference point for a desired future state. Perceived information gaps relate to a lack of detail on "how to" strategies, tools and processes that would lead to successful integration. Discussion and conclusion: The current project demonstrates that decision makers and planners will effectively use a knowledge synthesis if it is timely, relevant and accessible. The information can be applied at strategic and operations levels. Attention needs to be paid to include more information on implementation strategies and processes. Including knowledge users in identifying research questions will increase information uptake.

  3. Use of a knowledge synthesis by decision makers and planners to facilitate system level integration in a large Canadian provincial health authority

    Directory of Open Access Journals (Sweden)

    Esther Suter

    2011-03-01

    Full Text Available Purpose: The study is an examination of how a knowledge synthesis, conducted to fill an information gap identified by decision makers and planners responsible for integrating health systems in a western Canadian health authority, is being used within that organisation.Methods: Purposive sampling and snowball technique were used to identify 13 participants who were interviewed about how they are using the knowledge synthesis for health services planning and decision-making.Results: The knowledge synthesis is used by those involved in the strategic direction of the provincial healthcare organisation and those tasked with the operationalization of integration at the provincial or local level. Both groups most frequently use the ten key principles for integration, followed by the sections on integration processes, strategies and models. The key principles facilitate discussion on priority areas to be considered and provide a reference point for a desired future state. Perceived information gaps relate to a lack of detail on "how to" strategies, tools and processes that would lead to successful integration.Discussion and conclusion: The current project demonstrates that decision makers and planners will effectively use a knowledge synthesis if it is timely, relevant and accessible. The information can be applied at strategic and operations levels. Attention needs to be paid to include more information on implementation strategies and processes. Including knowledge users in identifying research questions will increase information uptake.

  4. A Hierarchical Analysis of Bridge Decision Makers ... The Role of New Technology Adoption in the Timber Bridge Market: Special Project

    Science.gov (United States)

    Robert L. Smith; Robert J. Bush; Daniel L. Schmoldt

    1995-01-01

    Bridge design engineers and local highway officials make bridge replacement decisions across the United States. The Analytical Hierarchy Process was used to characterize the bridge material selection decision of these individuals. State Department of Transportation engineers, private consulting engineers, and local highway officials were personally interviewed in...

  5. Modelling of adaptation to climate change and decision-makers behaviours for the Veluwe forest area in the Netherlands

    DEFF Research Database (Denmark)

    Yousefpour, Rasoul; Didion, Markus; Jacobsen, Jette Bredahl;

    2015-01-01

    rules for beliefs about climate trends, iii) evaluate the performance of adaptive strategies, and iv) apply (i)–(iii) at the local and forest landscape scale to find and compare individual versus joint adaptive decisions. We search for optimal forest management decisions maximizing total biomass...

  6. Including values in evidence-based policy making for breast screening: An empirically grounded tool to assist expert decision makers.

    Science.gov (United States)

    Parker, Lisa

    2017-07-01

    Values are an important part of evidence-based decision making for health policy: they guide the type of evidence that is collected, how it is interpreted, and how important the conclusions are considered to be. Experts in breast screening (including clinicians, researchers, consumer advocates and senior administrators) hold differing values in relation to what is important in breast screening policy and practice, and committees may find it difficult to incorporate the complexity and variety of values into policy decisions. The decision making tool provided here is intended to assist with this process. The tool is modified from more general frameworks that are intended to assist with ethical decision making in public health, and informed by data drawn from previous empirical studies on values amongst Australian breast screening experts. It provides a structured format for breast screening committees to consider and discuss the values of themselves and others, suggests relevant topics for further inquiry and highlights areas of need for future research into the values of the public. It enables committees to publicly explain and justify their decisions with reference to values, improving transparency and accountability. It is intended to act alongside practices that seek to accommodate the values of individual women in the informed decision making process for personal decision making about participation in breast screening. Copyright © 2017 Elsevier B.V. All rights reserved.

  7. Mechanism Study on How Decision-maker's Emotion Affects the Emergency Decision-making:A Theoretical Framework%决策者情绪对应急决策的影响研究:一个理论框架

    Institute of Scientific and Technical Information of China (English)

    张云翌; 杨乃定

    2015-01-01

    Timely and effective emergency decision-making is the key to reduce the casualties and losses caused by the emergency. How-ever, emergency decision-making will be inevitably affected by the emergency decision-maker’s emotion, which may lead to serious de-cision failures in the emergency. This study firstly established the theoretical framework model of how the decision-maker's emotion may affect the emergency decision-making based on the behavioral decision-making paradigm. Secondly, it was analyzed and discussed in de-tail the impact of emotion on the subjective probability, risk perception, risk preference, clues searching, clues assessing, alternative scheme formation, scheme choosing and decision-making results during the decision-making process in the model. Moreover, it was also investigated how the decision-maker’s emotion was affected by environment characteristics, characteristics of decision-making task and the decision-maker characteristics in emergency decision-making. It is hoped to be a reference for the behavior and emotion management of emergency decision-makers.%突发事件下,及时有效的应急决策是减少伤亡与损失的关键。然而突发事件所致的决策者情绪难免影响其应急决策行为,对突发事件的处置决策过程造成偏差或失误。本研究基于行为决策研究范式,建立决策者情绪影响应急决策全过程的理论框架模型,详细分析情绪对应急决策中线索搜寻、线索评估、备选方案形成、主观概率、风险后果感知、风险偏好、方案选择和决策结果等环节的影响,以及决策任务特征、环境特征和决策者特征对决策者情绪的影响作用。以期对突发事件应急处置过程中决策者行为和情绪管理提供理论参考。

  8. Beyond the Academic Journal: Unfreezing Misconceptions About Mental Illness and Gun Violence Through Knowledge Translation to Decision-Makers.

    Science.gov (United States)

    Horwitz, Joshua; Grilley, Anna; Kennedy, Orla

    2015-06-01

    In a policy arena characterized by polarized debate, such as the consideration of legal interventions to prevent gun violence, research evidence is an important tool to inform decision-making processes. However, unless the evidence is communicated to stakeholders who can influence policy decisions, the research will often remain an academic exercise with little practical impact. The Educational Fund to Stop Violence's process of "unfreezing" individual perceptions and conventional interpretations of the relationship between mental illness and gun violence, forming a consensus, and translating this knowledge to stakeholders through state discussion forums is one way to inform policy change. The recent passage of gun violence prevention legislation in California provides an example of successfully closing the knowledge translation gap between research and decision-making processes. Copyright © 2015 John Wiley & Sons, Ltd.

  9. The Myth of the Rational Decision Maker: A Framework for Applying and Enhancing Heuristic and Intuitive Decision Making by School Leaders

    Science.gov (United States)

    Davis, Stephen H.

    2004-01-01

    This article takes a critical look at administrative decision making in schools and the extent to which complex decisions conform to normative models and common expectations of rationality. An alternative framework for administrative decision making is presented that is informed, but not driven, by theories of rationality. The framework assumes…

  10. Getting Decision Makers to the Table: Digestible Facts, a Few Good Friends and Sharing Recipes for Solutions to Climate Change Impacts.

    Science.gov (United States)

    Boudrias, M. A.; Estrada, M.; Gershunov, A.; Silva-Send, N. J.; Young, E.

    2014-12-01

    Decision makers and community leaders are key audiences to engage in our efforts to improve climate literacy. Climate Education Partners has been working with business leaders, elected officials, tribal leaders, and other Key Influentials in the San Diego Region to enhance the channels of communication outside traditional settings. Over the past year we have interviewed over 90 Key Influential San Diego leaders asking them about their knowledge of climate change and their personal and professional efforts to adapt to and/or mitigate the impacts of climate change. We also engaged them directly in the creation of an innovative educational resource called "San Diego, 2050 is Calling. How will we answer?" Results of the interviews indicate that 90% of these leaders are concerned about climate change, more than 50% are already doing something about the impacts, and the majority of them want more information, greater dialogue and examples of actions taken by other community leaders. We found that repeated engagement of leaders at the San Diego County Water Authority went from basic collaboration in our water tours, to greater participation of their top leaders in a water tour for top decision makers from the City of San Diego, finally culminating with full support of and participation in the 2050 report. The 2050 report represents an integrated approach blending local climate change science, social science education theory and presentation of a suite of solution-driven opportunities for local leaders. The report includes science infographics that illustrate rigorous scientific facts, statements from expert scientists and direct quotes from decision makers, and examples of successful climate change adaptation actions from companies, government groups and others. The video and photography sessions for the 2050 report led to many unexpected discussion among leaders with differing opinions on climate change, greater enthusiasm to participate in outreach activities with other

  11. To notify or not to notify : Decision aid for policy makers on whether to make an infectious disease mandatorily notifiable

    NARCIS (Netherlands)

    Bijkerk, Paul; Fanoy, E. B.; Kardamanidis, K.; van der Plas, S. M.; te Wierik, M. J.; Kretzschmar, M. E.; Haringhuizen, G. B.; van Vliet, H. J.; van der Sande, M. A.

    2015-01-01

    Mandatory notification can be a useful tool to support infectious disease prevention and control. Guidelines are needed to help policymakers decide whether mandatory notification of an infectious disease is appropriate. We developed a decision aid, based on a range of criteria previously used in the

  12. To notify or not to notify : Decision aid for policy makers on whether to make an infectious disease mandatorily notifiable

    NARCIS (Netherlands)

    Bijkerk, Paul; Fanoy, E. B.; Kardamanidis, K.; van der Plas, S. M.; te Wierik, M. J.; Kretzschmar, M. E.; Haringhuizen, G. B.; van Vliet, H. J.; van der Sande, M. A.

    2015-01-01

    Mandatory notification can be a useful tool to support infectious disease prevention and control. Guidelines are needed to help policymakers decide whether mandatory notification of an infectious disease is appropriate. We developed a decision aid, based on a range of criteria previously used in the

  13. Modelling human decision-making in coupled human and natural systems

    Science.gov (United States)

    Feola, G.

    2012-12-01

    A solid understanding of human decision-making is essential to analyze the complexity of coupled human and natural systems (CHANS) and inform policies to promote resilience in the face of environmental change. Human decisions drive and/or mediate the interactions and feedbacks, and contribute to the heterogeneity and non-linearity that characterize CHANS. However, human decision-making is usually over-simplistically modeled, whereby human agents are represented deterministically either as dumb or clairvoyant decision-makers. Decision-making models fall short in the integration of both environmental and human behavioral drivers, and concerning the latter, tend to focus on only one category, e.g. economic, cultural, or psychological. Furthermore, these models render a linear decision-making process and therefore fail to account for the recursive co-evolutionary dynamics in CHANS. As a result, these models constitute only a weak basis for policy-making. There is therefore scope and an urgent need for better approaches to human decision-making, to produce the knowledge that can inform vulnerability reduction policies in the face of environmental change. This presentation synthesizes the current state-of-the-art of modelling human decision-making in CHANS, with particular reference to agricultural systems, and delineates how the above mentioned shortcomings can be overcome. Through examples from research on pesticide use and adaptation to climate change, both based on the integrative agent-centered framework (Feola and Binder, 2010), the approach for an improved understanding of human agents in CHANS are illustrated. This entails: integrative approach, focus on behavioral dynamics more than states, feedbacks between individual and system levels, and openness to heterogeneity.

  14. The DEVELOP National Program: Building Dual Capacity in Decision Makers and Young Professionals Through NASA Earth Observations

    Science.gov (United States)

    Childs, L. M.; Rogers, L.; Favors, J.; Ruiz, M.

    2012-12-01

    Through the years, NASA has played a distinct/important/vital role in advancing Earth System Science to meet the challenges of environmental management and policy decision making. Within NASA's Earth Science Division's Applied Sciences' Program, the DEVELOP National Program seeks to extend NASA Earth Science for societal benefit. DEVELOP is a capacity building program providing young professionals and students the opportunity to utilize NASA Earth observations and model output to demonstrate practical applications of those resources to society. Under the guidance of science advisors, DEVELOP teams work in alignment with local, regional, national and international partner organizations to identify the widest array of practical uses for NASA data to enhance related management decisions. The program's structure facilitates a two-fold approach to capacity building by fostering an environment of scientific and professional development opportunities for young professionals and students, while also providing end-user organizations enhanced management and decision making tools for issues impacting their communities. With the competitive nature and growing societal role of science and technology in today's global workplace, DEVELOP is building capacity in the next generation of scientists and leaders by fostering a learning and growing environment where young professionals possess an increased understanding of teamwork, personal development, and scientific/professional development and NASA's Earth Observation System. DEVELOP young professionals are partnered with end user organizations to conduct 10 week feasibility studies that demonstrate the use of NASA Earth science data for enhanced decision making. As a result of the partnership, end user organizations are introduced to NASA Earth Science technologies and capabilities, new methods to augment current practices, hands-on training with practical applications of remote sensing and NASA Earth science, improved remote

  15. The Statistical Value Chain - a Benchmarking Checklist for Decision Makers to Evaluate Decision Support Seen from a Statistical Point-Of-View

    DEFF Research Database (Denmark)

    Herrmann, Ivan Tengbjerg; Henningsen, Geraldine; Wood, Christian D.

    2013-01-01

    method that a DM can employ in order to evaluate the process of decision support from a statistical point-of-view. We call this approach the “Statistical Value Chain” (SVC): a consecutive benchmarking checklist with eight steps that can be used to evaluate decision support seen from a statistical point-of-view....

  16. Stepping stones to significant market shares for renewables. The European forum for market players and decision makers in the renewable energy industry

    Energy Technology Data Exchange (ETDEWEB)

    NONE

    2007-07-01

    This invitation to a two-day European Forum for market players and decision makers in the renewable energy business lists the presentations made at the conference in 2007. The programme included contributions in the following areas: Policies and market deployment initiatives, market trends and experience - from support schemes to market experience, opportunities in a changing framework in Switzerland, instruments and infrastructure requirements - how to make the market work and supply and demand aspects of a growing market. The conference examined how renewable forms of energy can gain significant market shares and reach a quota of 50% renewables in 50 years. The first session examined policies and market deployment initiatives, the second market trends and experiences, the third opportunities for Switzerland in a changing framework. The second day featured sessions on instruments and infrastructure requirements as well as on supply and demand aspects in a growing market. The conference was complemented with four workshops.

  17. The Ruling Political Class? A Theoretical Analysis of the Political Actors’ Role as Major Decision Makers in the Context of the Politico-administrative Relations

    Directory of Open Access Journals (Sweden)

    Cristina HARUȚĂ

    2009-10-01

    Full Text Available The paper examines and reframes severaltheories and approaches regarding the decisionmakingprocess and the politico-administrativerelations. The inner logic and the structure of thispaper should be scrutinized as an aggregate ofthree interdependent concepts. Firstly, we mentionbriefly the theoretical context of decision-makingconsisting out of a plethora of models developedin time. Subsequently, an overview of thepolitico-administrative affinities is presented tothe reader in the second section of the paper withan emphasis on the patterns and asymmetriesof powers between politicians and bureaucrats.Finally, the purpose of this paper lies in offeringan up-to-date theoretical perspective referring tothe political means of oversight and control overthe bureaucracy, due to which use the politicalactors underscore and heighten their roles of majordecision makers.

  18. A Perspective on Consumers 3.0: They Are Not Better Decision-Makers Than Previous Generations

    Directory of Open Access Journals (Sweden)

    Petr eHoudek

    2016-06-01

    Full Text Available This perspective article builds upon the theory of local thinking in interpretation and prediction of consumer behavior in a contemporary world of information overload. It is shown that even informed and socially and environmentally responsible consumers (consumers 3.0 exhibit selective recall, limited attention and bounded search in the perception and interpretation of price and quality of purchases. Their decisions fall into local cognitive frames, which specifically focus attention only on a narrow structure and content of the choice. The cognitive frames can be established by recent or regular purchases, but also extreme or primary purchase experiences. The article includes a short conceptual review of car, food, clothing, insurance, drugs, paintings and other product purchases showing that the local cognitive frames often lead to bad bargains across various sectors. The article presents several suggestions for future research.

  19. Point of care information services: a platform for self-directed continuing medical education for front line decision makers.

    Science.gov (United States)

    Moja, Lorenzo; Kwag, Koren Hyogene

    2015-02-01

    The structure and aim of continuing medical education (CME) is shifting from the passive transmission of knowledge to a competency-based model focused on professional development. Self-directed learning is emerging as the foremost educational method for advancing competency-based CME. In a field marked by the constant expansion of knowledge, self-directed learning allows physicians to tailor their learning strategy to meet the information needs of practice. Point of care information services are innovative tools that provide health professionals with digested evidence at the front line to guide decision making. By mobilising self-directing learning to meet the information needs of clinicians at the bedside, point of care information services represent a promising platform for competency-based CME. Several points, however, must be considered to enhance the accessibility and development of these tools to improve competency-based CME and the quality of care.

  20. A model for the design of computer integrated manufacturing systems: Identification of information requirements of decision makers

    DEFF Research Database (Denmark)

    Rasmussen, Jens

    1990-01-01

    are developed to support production planning and control processes as they are found in the present organizations. In this case, the result has been the evolution of "islands of automation" and in the CIM literature, integration is widely discussed in terms of standardization of communication protocols...... processes and production planning in these cases involve decisions within several different work domains which are normally known in detail by different people. The cases are used to illustrate how an explicit representation of the means-ends relations of the work domain can be used to identify......A predominant interest in recent design research has been the development of a general model of the design process to formulate a framework within which support systems based on modern information technology can be developed. Similarly, for manufacturing systems, advanced information systems...

  1. How seasonal forecast could help a decision maker: an example of climate service for water resource management

    Science.gov (United States)

    Viel, Christian; Beaulant, Anne-Lise; Soubeyroux, Jean-Michel; Céron, Jean-Pierre

    2016-04-01

    The FP7 project EUPORIAS was a great opportunity for the climate community to co-design with stakeholders some original and innovative climate services at seasonal time scales. In this framework, Météo-France proposed a prototype that aimed to provide to water resource managers some tailored information to better anticipate the coming season. It is based on a forecasting system, built on a refined hydrological suite, forced by a coupled seasonal forecast model. It particularly delivers probabilistic river flow prediction on river basins all over the French territory. This paper presents the work we have done with "EPTB Seine Grands Lacs" (EPTB SGL), an institutional stakeholder in charge of the management of 4 great reservoirs on the upper Seine Basin. First, we present the co-design phase, which means the translation of classical climate outputs into several indices, relevant to influence the stakeholder's decision making process (DMP). And second, we detail the evaluation of the impact of the forecast on the DMP. This evaluation is based on an experiment realised in collaboration with the stakeholder. Concretely EPTB SGL has replayed some past decisions, in three different contexts: without any forecast, with a forecast A and with a forecast B. One of forecast A and B really contained seasonal forecast, the other only contained random forecasts taken from past climate. This placebo experiment, realised in a blind test, allowed us to calculate promising skill scores of the DMP based on seasonal forecast in comparison to a classical approach based on climatology, and to EPTG SGL current practice.

  2. Decision Support for effective production control

    DEFF Research Database (Denmark)

    Africa, E.; Nehzati, T.; Strandhagen, J.O.;

    2012-01-01

    This study aims to identify the actual needs of decision makers for decision support in the production control activity, considering the role and cognitive skills of human decision-makers in the decision-making process. Multiple case studies have been conducted in order to gain practical insights...

  3. The Heat Is On: Decision-Maker Perspectives on When and How to Issue a Heat Warning

    Science.gov (United States)

    O'Neill, M.; Sampson, N.; McCormick, S.; Rood, R. B.; Buxton, M.; Ebi, K. L.; Gronlund, C. J.; Zhang, K.; Catalano, L.; White-Newsome, J. L.; Conlon, K. C.; Parker, E. A.

    2011-12-01

    To better understand how to prevent illness and deaths during hot weather, particularly among at-risk populations, we conducted a study in Detroit, Michigan; Phoenix, Arizona; New York, New York, and Philadelphia, Pennsylvania. Our aims were to characterize and better understand how heatwave and health early warning systems (HHWS) and related prevention and sustainability programs can be more widely and effectively implemented. Specifically, we here report on the scientific evidence, expert judgments and the process used in deciding to trigger a HHWS and activate public health and social services interventions. We conducted interviews with public officials who decide if and when heat advisories/warnings are issued. After transcribing the interviews, we used a qualitative analysis software, QSR NVivo 9.0, to assign codes to portions of text from each transcript and allow analysis of information with common themes across the data. For example, several sentences in a transcript discussing a heat index might be coded as 'definition of heat wave'. A common theme across cities was that deciding what type of weather is dangerous to health is not straightforward. The time in season that heat occurs; the duration of the heat; the level of humidity and other meteorological factors; the extent to which temperatures drop at night, allowing people to cool off; and prevailing weather conditions all play a role. A single 'safe' threshold is unrealistic because people's individual sensitivity, housing, surrounding environments, behaviors, and access to air conditioning can differ greatly. However, choices must be made as to the trigger for the HHWS. Although quantitative analysis with health data (mortality, hospital admissions) can inform the design of the triggers, historical analysis has limitations, and decisions to issue heat warnings are sometimes related to planned activities, such as parades or fairs, that may expose large numbers of people to heat. The HHWS approach

  4. FAmily CEntered (FACE) advance care planning: Study design and methods for a patient-centered communication and decision-making intervention for patients with HIV/AIDS and their surrogate decision-makers.

    Science.gov (United States)

    Kimmel, Allison L; Wang, Jichuan; Scott, Rachel K; Briggs, Linda; Lyon, Maureen E

    2015-07-01

    Although the human immunodeficiency virus/acquired immunodeficiency syndrome (HIV/AIDS) has become a chronic illness, disease-specific advance care planning has not yet been evaluated for the palliative care needs of adults with HIV/AIDS. This prospective, longitudinal, randomized, two-arm controlled clinical trial aims to test the efficacy of FAmily CEntered advance care planning among adults living with AIDS and/or HIV with co-morbidities on congruence in treatment preferences, healthcare utilization, and quality of life. The FAmily CEntered intervention arm is two face-to-face sessions with a trained, certified facilitator: Session 1) Disease-Specific Advance Care Planning Respecting Choices Interview; Session 2) Completion of advance directive. The Healthy Living Control arm is: Session 1) Developmental/Relationship History; Session 2) Nutrition. Follow-up data will be collected at 3, 6, 12, and 18 months post-intervention. A total of 288 patient/surrogate dyads will be enrolled from five hospital-based, out-patient clinics in Washington, District of Columbia. Participants will be HIV positive and ≥ 21 years of age; surrogates will be ≥ 18 years of age. Exclusion criteria are homicidality, suicidality, psychosis, and impaired cognitive functioning. We hypothesize that this intervention will enhance patient-centered communication with a surrogate decision-maker about end of life treatment preferences over time, enhance patient quality of life and decrease health care utilization. We further hypothesize that this intervention will decrease health disparities for Blacks in completion of advance directives. If proposed aims are achieved, the benefits of palliative care, particularly increased treatment preferences about end-of-life care and enhanced quality of life, will be extended to people living with AIDS. Copyright © 2015 Elsevier Inc. All rights reserved.

  5. The impact of scientific information on ecosystem management: making sense of the contextual gap between information providers and decision makers.

    Science.gov (United States)

    van Wyk, Ernita; Roux, Dirk J; Drackner, Mikael; McCool, Stephen F

    2008-05-01

    Scientific information is not always effectively incorporated into decision-making processes. This phenomenon seems to hold even when the information is aligned with an articulated need, is generated according to sound scientific procedures, and is packaged with end-user preferences in mind. We propose that contextual or cultural differences contribute significantly to the misalignment in communication between those who generate information and those who seek information for improved management of natural resources. The solution is to cultivate shared understanding, which in turn relies on acknowledgment and sharing of diverse values and attitudes. This constitutes a difficult challenge in a culturally diverse environment. Whereas cultural diversity represents wealth in experiences, knowledge and perspectives it can constrain the potential to develop the shared understandings necessary for effective integration of new information. This article illustrates how a lack of shared understanding among participants engaged in a resource-management process can produce and perpetuate divergent views of the world, to the extent that information and knowledge flows are ineffective and scientific information, even when requested, cannot be used effectively. Four themes were distilled from interviews with management and scientific staff of a natural resource-management agency in South Africa. The themes are used to illustrate how divergent views embedded in different cultures can discourage alignment of effort toward a common purpose. The article then presents a sense-making framework to illustrate the potential for developing shared understandings in a culturally diverse world.

  6. Developmental changes in decision making under risk: The role of executive functions and reasoning abilities in 8- to 19-year-old decision makers.

    Science.gov (United States)

    Schiebener, Johannes; García-Arias, María; García-Villamisar, Domingo; Cabanyes-Truffino, Javier; Brand, Matthias

    2015-01-01

    Previous studies have shown that children and adolescents often tend toward risky decisions despite explicit knowledge about the potential negative consequences. This phenomenon has been suggested to be associated with the immaturity of brain areas involved in cognitive control functions. Particularly, "frontal lobe functions," such as executive functions and reasoning, mature until young adulthood and are thought to be involved in age-related changes in decision making under explicit risk conditions. We investigated 112 participants, aged 8-19 years, with a frequently used task assessing decisions under risk, the Game of Dice Task (GDT). Additionally, we administered the Modified Card Sorting Test assessing executive functioning (categorization, cognitive flexibility, and strategy maintenance) as well as the Ravens Progressive Matrices assessing reasoning. The results showed that risk taking in the GDT decreased with increasing age and this effect was not moderated by reasoning but by executive functions: Particularly, young persons with weak executive functioning showed very risky decision making. Thus, the individual maturation of executive functions, associated with areas in the prefrontal cortex, seems to be an important factor in young peoples' behavior in risky decision-making situations.

  7. Human Decision Processes: Implications for SSA Support Tools

    Science.gov (United States)

    Picciano, P.

    2013-09-01

    Despite significant advances in computing power and artificial intelligence (AI), few critical decisions are made without a human decision maker in the loop. Space Situational Awareness (SSA) missions are both critical and complex, typically adhering to the human-in-the-loop (HITL) model. The collection of human operators injects a needed diversity of expert knowledge, experience, and authority required to successfully fulfill SSA tasking. A wealth of literature on human decision making exists citing myriad empirical studies and offering a varied set of prescriptive and descriptive models of judgment and decision making (Hastie & Dawes, 2001; Baron, 2000). Many findings have been proven sufficiently robust to allow information architects or system/interface designers to take action to improve decision processes. For the purpose of discussion, these concepts are bifurcated in two groups: 1) vulnerabilities to mitigate, and 2) capabilities to augment. These vulnerabilities and capabilities refer specifically to the decision process and should not be confused with a shortcoming or skill of a specific human operator. Thus the framing of questions and orders, the automated tools with which to collaborate, priming and contextual data, and the delivery of information all play a critical role in human judgment and choice. Evaluating the merits of any decision can be elusive; in order to constrain this discussion, ‘rational choice' will tend toward the economic model characteristics such as maximizing utility and selection consistency (e.g., if A preferred to B, and B preferred to C, than A should be preferred to C). Simple decision models often encourage one to list the pros and cons of a decision, perhaps use a weighting schema, but one way or another weigh the future benefit (or harm) of making a selection. The result (sought by the rationalist models) should drive toward higher utility. Despite notable differences in researchers' theses (to be discussed in the full

  8. Software cost estimation, benchmarking, and risk assessment the software decision-makers' guide to predictable software development

    CERN Document Server

    Trendowicz, Adam

    2012-01-01

    Software effort estimation is a key element of software project planning and management. Yet, in industrial practice, the important role of effort estimation is often underestimated and/or misunderstood. In this book, Adam Trendowicz presents the CoBRA method (an abbreviation for Cost Estimation, Benchmarking, and Risk Assessment) for estimating the effort required to successfully complete a software development project, which uniquely combines human judgment and measurement data in order to systematically create a custom-specific effort estimation model. CoBRA goes far beyond simply predictin

  9. Marine Conservation: Effective Communication is Critical to Engaging the Public and Decision Makers in Sustaining our Seas

    Science.gov (United States)

    Crowder, L. B.

    2006-12-01

    Scientists are most comfortable talking to other scientists. But if we hope our science will be used to drive good policy decisions at the state or federal level, we have to be willing to leave the comfortable cloisters of science and venture out into a world where people speak different languages and have different perspectives. Early in my career, I had the good fortune to be involved in two research programs that were focused on basic science, but also proved to be relevant to management and policy. The first project involved modeling the bioenergetics of growth in salmonid fishes. The second modeled the population dynamics of a threatened marine species, loggerhead sea turtle. Somewhat to my surprise, both papers led to major policy changes and the models were actively employed by managers within a year of two of publication. The question for me then became whether this could be done deliberately. Since then I have had the opportunity to communicate with a wide variety of people from congressmen, to school children, to the public, and among professionals across disciplinary boundaries. Communication skills are critical for scientists to become influential in the policy arena. We have to listen to all people involved in the policymaking process AND we have to be able to communicate effectively with them. This requires a deep understanding of the science and a willingness to work hard on communicating the science clearly, concisely, and compellingly. Scientists can work to develop their own skills, but professional training helps. This can come via shortcourses, mentorships, or full university courses. At Duke Marine Lab, we initiated graduate course in Professional Writing that focuses upon writing for different audiences, including commercial fishermen, retirees, teenagers, scientists in different fields, politicians, and managers. This course has been widely endorsed by our graduates as one of the most important courses they attended; interviews and job offers

  10. Husbands as decision-makers in relation to family size: East-West regional differentials in Turkey.

    Science.gov (United States)

    Kulu, I

    1990-01-01

    Fertility studies usually gather information from women only. This sex-bias present in the research fails to take into account the contribution that men make in forming fertility patterns. This study examines the role of Turkish husbands in the decision-making regarding family size and the use of family planning methods. The historic and cultural background in Turkey is based upon a male-dominant structure. This dominant role of men is present on individual, family, community, and national levels. The differences between the Eastern and Western regions, in regard to socio-economic factors is fully explored. The data used in this study comes from a 1988 national health survey. Three questionnaires were applied in 6,552 households in 5 regions. One questionnaire was for the household, one for ever-married women, and one for ever-married men. This paper focuses on the data generated by the husband's questionnaires (a sub-sample of 2,264 respondents). Several factors are identified that maintain an authoritarian, male-dominated system. These factors include type of marriage, arranged marriages, the payment of bride-price, and participation in the labor force. Both men in the East and West expect their wives to fulfill a traditional sex-role. Women are expected to be wives and mothers, and to obey their husbands. Most men do not approve of married women working outside of the home. Traditional values continue to shape the style of relating between men and women in both regions, despite the modernization that has taken place in the West. "Higher socioeconomic development does not necessarily imply the automatic acquisition of modern values." The author does establish that practices that subjugate women are more prevalent and are deeply rooted in the East. In keeping with the cultural practices of the society, male attitudes and values strongly influence family planning practices. One-fourth of the women in a national survey stated that the reason they did not use a

  11. Human Factors Influencing Decision Making

    Science.gov (United States)

    1998-07-01

    Personality and Individual Differences , 21 (1996) pp. 959-969. Ajzen, I. Attitudes, Personality, and Behavior. The Dorsey Press, Chicago...IL, 1988. Alexander, J. R. M. and S. Smales. "Intelligence, learning and long-term memory," Personality and Individual Differences , 23 (1997) pp. 815...intelligence: effects of spatial attention on decision time in high and low IQ subjects," Personality and Individual Differences , 23 (1997) pp.

  12. Human genetics for non-scientists: Practical workshops for policy makers and opinion leaders

    Energy Technology Data Exchange (ETDEWEB)

    NONE

    1995-12-31

    These workshops form part of a series of workshops that the Banbury and the DNA Learning Centers of Cold Spring Harbor Laboratory have held for a number of years, introducing genetics, and the ways in which scientific research is done, to non-scientists. The purpose of the workshops as stated in the grant application was: {open_quotes}Our objective is to foster a better understanding of the societal impact of human genome research by providing basic information on genetics to non-scientists whose professions or special interests interface with genetic technology.... Participants will be chosen for their interest in human genetics and for their roles as opinion leaders in their own communities. Primary care physicians are of particular interest to us for this series of workshops.{close_quotes} Two workshops were held under this grant. The first was held in 21-24 April, 1994 and attended by 20 participants, and the second was held 16-19 November, 1995, and attended by 16 participants. In each case, there was a combination of concept lectures on the foundations of human molecular genetics; lectures by invited specialists; and laboratory experiments to introduce non-scientists to the techniques used in molecular genetics.

  13. Human Capital: DOD Should Fully Develop Its Civilian Strategic Workforce Plan to Aid Decision Makers

    Science.gov (United States)

    2014-07-01

    DOD’s 2013-2018 Workforce Plan 22 functional communities 32 mission-critical occupations (series) Medical Psychology Series (0180) Social Work...Updates. Listen to our Podcasts . Visit GAO on the web at www.gao.gov. Contact: Website: http://www.gao.gov/fraudnet/fraudnet.htm E-mail: fraudnet

  14. What do hospital decision-makers in Ontario, Canada, have to say about the fairness of priority setting in their institutions?

    Directory of Open Access Journals (Sweden)

    Martin Douglas K

    2005-01-01

    Full Text Available Abstract Background Priority setting, also known as rationing or resource allocation, occurs at all levels of every health care system. Daniels and Sabin have proposed a framework for priority setting in health care institutions called 'accountability for reasonableness', which links priority setting to theories of democratic deliberation. Fairness is a key goal of priority setting. According to 'accountability for reasonableness', health care institutions engaged in priority setting have a claim to fairness if they satisfy four conditions of relevance, publicity, appeals/revision, and enforcement. This is the first study which has surveyed the views of hospital decision makers throughout an entire health system about the fairness of priority setting in their institutions. The purpose of this study is to elicit hospital decision-makers' self-report of the fairness of priority setting in their hospitals using an explicit conceptual framework, 'accountability for reasonableness'. Methods 160 Ontario hospital Chief Executive Officers, or their designates, were asked to complete a survey questionnaire concerning priority setting in their publicly funded institutions. Eight-six Ontario hospitals completed this survey, for a response rate of 54%. Six close-ended rating scale questions (e.g. Overall, how fair is priority setting at your hospital?, and 3 open-ended questions (e.g. What do you see as the goal(s of priority setting in your hospital? were used. Results Overall, 60.7% of respondents indicated their hospitals' priority setting was fair. With respect to the 'accountability for reasonableness' conditions, respondents indicated their hospitals performed best for the relevance (75.0% condition, followed by appeals/revision (56.6%, publicity (56.0%, and enforcement (39.5%. Conclusions For the first time hospital Chief Executive Officers within an entire health system were surveyed about the fairness of priority setting practices in their

  15. Research of the Weight of Decision-maker in Group Decision-making Based on Interval Fuzz Number%基于区间模糊数的群决策中决策者权重研究

    Institute of Scientific and Technical Information of China (English)

    舒欢; 宁敬博

    2015-01-01

    针对指标属性值为区间模糊数的群决策问题,展开了对决策者客观权重确定的研究。在定义了个体决策矩阵和群体决策矩阵的基础上,计算两者的整体相对偏差距离,继而得到决策者的客观权重。并以一个算例验证了该方法的可行性和合理性。%In this paper we launched the study of objective weight for decision⁃maker for the group decision⁃making problem of index attribute value,which is interval fuzzy number. We calculated the overall relative deviation distance of the individual decision matrix and group decision matrix based on defining each others,then got the objective weight of decision⁃maker. Finally,a numerical example was given to demonstrate the feasibility and rationality of the method.

  16. Leveraging human decision making through the optimal management of centralized resources

    Science.gov (United States)

    Hyden, Paul; McGrath, Richard G.

    2016-05-01

    Combining results from mixed integer optimization, stochastic modeling and queuing theory, we will advance the interdisciplinary problem of efficiently and effectively allocating centrally managed resources. Academia currently fails to address this, as the esoteric demands of each of these large research areas limits work across traditional boundaries. The commercial space does not currently address these challenges due to the absence of a profit metric. By constructing algorithms that explicitly use inputs across boundaries, we are able to incorporate the advantages of using human decision makers. Key improvements in the underlying algorithms are made possible by aligning decision maker goals with the feedback loops introduced between the core optimization step and the modeling of the overall stochastic process of supply and demand. A key observation is that human decision-makers must be explicitly included in the analysis for these approaches to be ultimately successful. Transformative access gives warfighters and mission owners greater understanding of global needs and allows for relationships to guide optimal resource allocation decisions. Mastery of demand processes and optimization bottlenecks reveals long term maximum marginal utility gaps in capabilities.

  17. Introducing economic evaluation as a policy tool in Korea: will decision makers get quality information? : a critical review of published Korean economic evaluations.

    Science.gov (United States)

    Lee, Kun-Sei; Brouwer, Werner B F; Lee, Sang-Il; Koo, Hye-Won

    2005-01-01

    Interest in the use of economic evaluations in Korea as an aid for healthcare decision makers has been growing rapidly since the financial crisis of the Korean National Health Insurance fund and the separation in 2000 of the roles of prescribing and dispensing drugs. The Korean Health Insurance Review Agency (HIRA) is considering making it mandatory for pharmaceutical companies to submit the results of an economic evaluation when demanding reimbursement of new pharmaceuticals. The usefulness of the results of economic evaluations depends highly on the quality of the studies. The purpose of this paper, therefore, is to provide a critical review of economic evaluations of healthcare technologies published in the Korean context. Our results show that many studies did not meet international standards. Study designs were suboptimal, study perspectives and types were often stated incompletely, time periods were often too short, and outcome measures were often less than ideal. In addition, some articles did not distinguish between measurement and valuation of resource use. Capital, overhead and productivity costs were often omitted. Only half of the studies performed sensitivity analyses. In order to further rationalise resource allocation in the Korean healthcare sector, the quality of the information provided through economic evaluations needs to improve. Developing clear guidelines and educating and training researchers in performing economic evaluations is necessary.

  18. Pre-assessment to assess the match between cost-effectiveness results and decision makers'information needs: (An Illustration Using Two Cases in Rehabilitation Medicine in The Netherlands)

    NARCIS (Netherlands)

    IJzerman, Maarten J.; Reuzel, Robert P.B.; Severens, Hans L.

    2003-01-01

    Objective: To determine if a pre-assessment can be used to establish whether cost-effectiveness results would meet the actual information needs of Dutch healthcare decision makers. Methods: Two recent studies in rehabilitation medicine served as study material. Based on Wholey, a limited pre-assess

  19. URBAN DECISION-MAKING, THE UNIVERSITY'S ROLE.

    Science.gov (United States)

    BAILEY, STEPHEN K.

    THE AUTHOR EXAMINES THE VARIOUS WAYS IN WHICH THE UNIVERSITY CAN AND SHOULD INFLUENCE URBAN DECISION MAKING. THE CENTRAL UNIVERSITY ROLE IS SENSITIZING THE DECISION MAKERS AND THE CITIZENS TO HUMAN MISERY, SUCH AS BIGOTRY, SQUALOR, DISEASE, UGLINESS, POVERTY, AND IGNORANCE. LONG-RANGE ROLES ARE PINPOINTING THE PROBLEMS URBAN DECISION MAKERS SHOULD…

  20. Integrated Environmental Modelling: human decisions, human challenges

    Science.gov (United States)

    Glynn, Pierre D.

    2015-01-01

    Integrated Environmental Modelling (IEM) is an invaluable tool for understanding the complex, dynamic ecosystems that house our natural resources and control our environments. Human behaviour affects the ways in which the science of IEM is assembled and used for meaningful societal applications. In particular, human biases and heuristics reflect adaptation and experiential learning to issues with frequent, sharply distinguished, feedbacks. Unfortunately, human behaviour is not adapted to the more diffusely experienced problems that IEM typically seeks to address. Twelve biases are identified that affect IEM (and science in general). These biases are supported by personal observations and by the findings of behavioural scientists. A process for critical analysis is proposed that addresses some human challenges of IEM and solicits explicit description of (1) represented processes and information, (2) unrepresented processes and information, and (3) accounting for, and cognizance of, potential human biases. Several other suggestions are also made that generally complement maintaining attitudes of watchful humility, open-mindedness, honesty and transparent accountability. These suggestions include (1) creating a new area of study in the behavioural biogeosciences, (2) using structured processes for engaging the modelling and stakeholder communities in IEM, and (3) using ‘red teams’ to increase resilience of IEM constructs and use.

  1. A Study of MPNP Based on Limited Rationality of Decision-makers%基于决策者有限理性的多产品报童问题

    Institute of Scientific and Technical Information of China (English)

    张向阳; 周刚

    2012-01-01

    Under the assumption that inventory management decision-makers are limited in their rationality, the paper studies the multi-product newsvendor problem with budget constraint under the framework of prospect theory and establishes the inventory decision model which considers the aversion of loss, priority to safety and mental accounts of the decision makers, making the results obtained more practical.%从库存管理决策者有限理性出发,在预期理论框架下对资金约束下的多产品报童问题进行了研究,建立了考虑决策者损失厌恶、安全优先和心理账户行为下的库存决策模型,以期研究结果更加符合实际情况.

  2. An interval UTA method based on the satisfaction degree of decision maker%基于决策人满意度的区间UTA方法

    Institute of Scientific and Technical Information of China (English)

    熊文涛; 冯育强

    2016-01-01

    针对区间数多准则决策问题,扩展了传统的效用加性(utility additive,UTA)方法,提出了一种区间UTA方法。该方法首先根据传统的UTA方法,将参考方案的所有指标值转换为效用范围,即效用区间;然后利用区间数运算,得到参考方案的综合效用,进一步根据决策人的满意度和区间数的中点、半宽构建一个线性规划模型,计算出最小误差;在再优化分析中,以各指标下所有节点郊用的方差最小为目标函数,建立二次规划模型,计算出每一指标下各节点的效用值,利用效用值得到待评方案的综合效用区间和排序。算例表明,提出的区间UTA方法能有效地对方案排序,并与决策人以往的偏好信息一致。%An interval UTA method was proposed for inferring interval utility functions from a partial preorder of alter-natives evaluated on multiple criteria,which was an extension of the well-known UTA method capable to handle the in-terval evaluation data.Firstly,according to the original UTA method,the interval attribute values of all reference op-tions were transformed into the ranges of utility,namely,the utility intervals.Next,the overall utility intervals were calculated using the arithmetic operations of interval number.A linear programming model was constructed based on the satisfaction degree of decision maker utilizing the mid-point and half-width of interval numbers.After the total error val-ue was obtained,a quadratic programming model was established in the post-optimization step,where the objective function was the minimum utility variance of all nodes along all criteria.The obtained utility values of all nodes were used to calculate the overall utility intervals and ranking of alternatives under evaluation.Numerical example showed that the alternatives could effectively ranked using the proposed interval UTA method,which was compatible with the preference information of decision

  3. How Deep is the Critical Zone: A Scientific Question with Potential Impact For Decision-makers in Areas of Shale-Gas Development and Hydraulic Fracturing

    Science.gov (United States)

    Brantley, S. L.

    2014-12-01

    Citizens living in areas of shale-gas development such as the Marcellus gas play in Pennsylvania and surrounding states are cognizant of the possibility that drilling and production of natural gas -- including hydraulic fracturing -- may have environmental impacts on their water. The Critical Zone is defined as the zone from vegetation canopy to the lower limits of groundwater. This definition is nebulous in terms of the lower limit, and yet, defining the bottom of the Critical Zone is important if citizens are to embrace shale-gas development. This is because, although no peer-reviewed study has been presented that documents a case where hydraulic fracturing or formation fluids have migrated upwards from fracturing depths to drinking water resources, a few cases of such leakage have been alleged. On the other hand, many cases of methane migration into aquifers have been documented to occur and some have been attributed to shale-gas development. The Critical Zone science community has a role to play in understanding such contamination problems, how they unfold, and how they should be ameliorated. For example, one big effort of the Critical Zone science community is to promote sharing of data describing the environment. This data effort has been extended to provide data for citizens to understand water quality by a team known as the Shale Network. As scientists learn to publish data online, these efforts must also be made accessible to non-scientists. As citizens access the data, the demand for data will grow and all branches of government will eventually respond by providing more accessible data that will help the public and policy-makers make decisions.

  4. Decision science a human-oriented perspective

    CERN Document Server

    Mengov, George

    2015-01-01

    This book offers a new perspective on human decision-making by comparing the established methods in decision science with innovative modelling at the level of neurons and neural interactions. The book presents a new generation of computer models, which can predict with astonishing accuracy individual economic choices when people make them by quick intuition rather than by effort. A vision for a new kind of social science is outlined, whereby neural models of emotion and cognition capture the dynamics of socioeconomic systems and virtual social networks. The exposition is approachable by experts as well as by advanced students. The author is an Associate Professor of Decision Science with a doctorate in Computational Neuroscience, and a former software consultant to banks in the City of London.  .

  5. Decision Support for effective production control

    DEFF Research Database (Denmark)

    Africa, E.; Nehzati, T.; Strandhagen, J.O.

    2012-01-01

    This study aims to identify the actual needs of decision makers for decision support in the production control activity, considering the role and cognitive skills of human decision-makers in the decision-making process. Multiple case studies have been conducted in order to gain practical insights...... from the manufacturing industry. This paper contributes to raise the issues that should be considered for successful implementation of the decision support systems in practice....

  6. Incorporating Medium-Range Weather Forecasts in Seasonal Crop Scenarios over the Greater Horn of Africa to Support National/Regional/Local Decision Makers

    Science.gov (United States)

    Shukla, S.; Husak, G. J.; Funk, C. C.; Verdin, J. P.

    2015-12-01

    The USAID's Famine Early Warning Systems Network (FEWS NET) provides seasonal assessments of crop conditions over the Greater Horn of Africa (GHA) and other food insecure regions. These assessments and current livelihood, nutrition, market conditions and conflicts are used to generate food security scenarios that help national, regional and local decision makers target their resources and mitigate socio-economic losses. Among the various tools that FEWS NET uses is the FAO's Water Requirement Satisfaction Index (WRSI). The WRSI is a simple yet powerful crop assessment model that incorporates current moisture conditions (at the time of the issuance of forecast), precipitation scenarios, potential evapotranspiration and crop parameters to categorize crop conditions into different classes ranging from "failure" to "very good". The WRSI tool has been shown to have a good agreement with local crop yields in the GHA region. At present, the precipitation scenarios used to drive the WRSI are based on either a climatological forecast (that assigns equal chances of occurrence to all possible scenarios and has no skill over the forecast period) or a sea-surface temperature anomaly based scenario (which at best have skill at the seasonal scale). In both cases, the scenarios fail to capture the skill that can be attained by initial atmospheric conditions (i.e., medium-range weather forecasts). During the middle of a cropping season, when a week or two of poor rains can have a devastating effect, two weeks worth of skillful precipitation forecasts could improve the skill of the crop scenarios. With this working hypothesis, we examine the value of incorporating medium-range weather forecasts in improving the skill of crop scenarios in the GHA region. We use the NCEP's Global Ensemble Forecast system (GEFS) weather forecasts and examine the skill of crop scenarios generated using the GEFS weather forecasts with respect to the scenarios based solely on the climatological forecast

  7. Human-centric decision-making models for social sciences

    CERN Document Server

    Pedrycz, Witold

    2014-01-01

    The volume delivers a wealth of effective methods to deal with various types of uncertainty inherently existing in human-centric decision problems. It elaborates on  comprehensive decision frameworks to handle different decision scenarios, which help use effectively the explicit and tacit knowledge and intuition, model perceptions and preferences in a more human-oriented style. The book presents original approaches and delivers new results on fundamentals and applications related to human-centered decision making approaches to business, economics and social systems. Individual chapters cover multi-criteria (multiattribute) decision making, decision making with prospect theory, decision making with incomplete probabilistic information, granular models of decision making and decision making realized with the use of non-additive measures. New emerging decision theories being presented as along with a wide spectrum of ongoing research make the book valuable to all interested in the field of advanced decision-mak...

  8. Ensemble-based analysis of Front Range severe convection on 6-7 June 2012: Forecast uncertainty and communication of weather information to Front Range decision-makers

    Science.gov (United States)

    Vincente, Vanessa

    -allowing ensemble also showed greater skill in forecasting heavy precipitation amounts in the vicinity of where they were observed during the most active convective period, particularly near urbanized areas. A total of 9 Front Range EMs were interviewed to research how they understood hazardous weather information, and how their perception of forecast uncertainty would influence their decision making following a heavy rain event. Many of the EMs use situational awareness and past experiences with major weather events to guide their emergency planning. They also highly valued their relationship with the National Weather Service to improve their understanding of weather forecasts and ask questions about the uncertainties. Most of the EMs perceived forecast uncertainty in terms of probability and with the understanding that forecasting the weather is an imprecise science. The greater the likelihood of occurrence (implied by a higher probability of precipitation) showed greater confidence in the forecast that an event was likely to happen. Five probabilistic forecast products were generated from the convection-allowing ensemble output to generate a hypothetical warm season heavy rain event scenario. Responses varied between the EMs in which products they found most practical or least useful. Most EMs believed that there was a high probability for flooding, as illustrated by the degree of forecasted precipitation intensity. Most confirmed perceiving uncertainty in the different forecast representations, sharing the idea that there is an inherent uncertainty that follows modeled forecasts. The long-term goal of this research is to develop and add reliable probabilistic forecast products to the "toolbox" of decision-makers to help them better assess hazardous weather information and improve warning notifications and response.

  9. [Human body meridian spatial decision support system for clinical treatment and teaching of acupuncture and moxibustion].

    Science.gov (United States)

    Wu, Dehua

    2016-01-01

    The spatial position and distribution of human body meridian are expressed limitedly in the decision support system (DSS) of acupuncture and moxibustion at present, which leads to the failure to give the effective quantitative analysis on the spatial range and the difficulty for the decision-maker to provide a realistic spatial decision environment. Focusing on the limit spatial expression in DSS of acupuncture and moxibustion, it was proposed that on the basis of the geographic information system, in association of DSS technology, the design idea was developed on the human body meridian spatial DSS. With the 4-layer service-oriented architecture adopted, the data center integrated development platform was taken as the system development environment. The hierarchical organization was done for the spatial data of human body meridian via the directory tree. The structured query language (SQL) server was used to achieve the unified management of spatial data and attribute data. The technologies of architecture, configuration and plug-in development model were integrated to achieve the data inquiry, buffer analysis and program evaluation of the human body meridian spatial DSS. The research results show that the human body meridian spatial DSS could reflect realistically the spatial characteristics of the spatial position and distribution of human body meridian and met the constantly changeable demand of users. It has the powerful spatial analysis function and assists with the scientific decision in clinical treatment and teaching of acupuncture and moxibustion. It is the new attempt to the informatization research of human body meridian.

  10. Cultural change and environmentalism: a cross-national approach of mass publics and decision makers Mudança cultural e ambientalismo: uma abordagem transnacional sobre opinião pública e agentes decisórios

    Directory of Open Access Journals (Sweden)

    Peter Ester

    2004-12-01

    Full Text Available The main focus of this study - the Global Environmental Survey (GOES - is the impact of cultural influences on environmental attitudes. GOES examines the cultural impact from a basic cross-national perspective, investigating the impact of cultural change and value shifts on environmental concern, attitudes, and behavior in both Western and non-Western societies. This study provides cross-national insights in how mass publics and decision makers in both developed and developing countries frame environmental problems and solutions. In addition, the project has shown how leading environmental decision makers and opinion leaders assess the environmental beliefs and attitudes of the public. Apparently, citizens are not yet ready to translate pro-environmental concerns into acceptance of far-reaching environmental policy measures. Citizens in both developed and developing countries seem to prefer voluntary lifestyle changes. Moving from environmental concern via policy support to actual (reported environmental behavior, we can conclude that persistent pro-environmental behavior does not describe citizens' environmental involvement and commitment. Our data indicate that environmentally relevant behaviors (e.g., transportation, energy use, recycling, household purchases, political activism do not form a consistent and coherent pattern. Practice of one type of ecologically conscious behavior does not predict engagement in another. It is not that people reserve a distinctive spot in their mental software for judging the environmental impact of habitual behaviors. Their mental mapping probably consists of manifold decisional heuristics, including comfort, health, safety, price, efficiency, effectiveness, and social responsibility, which are likely to be hierarchically ordered and in competition with environmental heuristics. A focus on specific behaviors, though, reveals that citizens may be deeply involved in "green" behavior. This is related in part to

  11. The Effects of Decision Makers' Roles and Related Variables on Risk Preferences%决策者角色及相关变量对风险偏好的影响

    Institute of Scientific and Technical Information of China (English)

    段婧; 刘永芳; 何琪

    2012-01-01

    采用IAT技术测查被试的内隐自尊,并引入收益和损失两种任务框架,综合探讨了内隐自尊水平、任务得失框架对自我决策和为他人决策时风险偏好的影响.结果发现:(1)在收益框架下,被试为他人决策时更冒险,而在损失框架下,为自我和他人决策的风险偏好无显著差异;(2)与为自我决策相比,低内隐自尊者为他人决策时更冒险,而高内隐自尊者为自我和他人决策的风险偏好无显著差异;(3)内隐自尊水平与任务框架的交互作用及内隐自尊水平、任务框架和决策者角色之间的三级交互作用均不显著.依据相关的理论和发现对这种结果进行了分析和讨论.%Many studies have examined the self-other decision making bias, but few have considered the role of self-esteem in the bias. Conversely, many studies have examined how self-esteem affects risk preference, but almost none have considered the impact of the decision maker's role. In addition, these studies made few allowances for the gain and loss frameworks of decision tasks.In this study, the complex relationships among decision makers' roles, self-esteem, and the frameworks ofdecision tasks are explored. 111 undergraduate subjects with high or low self-esteem were asked to either make decisions for themselves or make decisions for others on a risk preference questionnaire involving twelve items under gain or loss task frameworks. Implicit self-esteem levels were tested with IAT technology.The results of the experiment show that (1) Subjects were more willing to take risks when making decisions for others than when making decisions for themselves in the gain framework but not in the loss framework; (2) Subjects were more willing to take risks when making decisions for others than when making decisions for themselves if they had low implicit self-esteem but not if they had high implicit self-esteem; (3) There was no significant interaction between task framework and

  12. A control-theory model for human decision-making

    Science.gov (United States)

    Levison, W. H.; Tanner, R. B.

    1971-01-01

    A model for human decision making is an adaptation of an optimal control model for pilot/vehicle systems. The models for decision and control both contain concepts of time delay, observation noise, optimal prediction, and optimal estimation. The decision making model was intended for situations in which the human bases his decision on his estimate of the state of a linear plant. Experiments are described for the following task situations: (a) single decision tasks, (b) two-decision tasks, and (c) simultaneous manual control and decision making. Using fixed values for model parameters, single-task and two-task decision performance can be predicted to within an accuracy of 10 percent. Agreement is less good for the simultaneous decision and control situation.

  13. Helping the decision maker effectively promote various experts’ views into various optimal solutions to China’s institutional problem of health care provider selection through the organization of a pilot health care provider research system

    OpenAIRE

    Tang, Liyang

    2013-01-01

    Background The main aim of China’s Health Care System Reform was to help the decision maker find the optimal solution to China’s institutional problem of health care provider selection. A pilot health care provider research system was recently organized in China’s health care system, and it could efficiently collect the data for determining the optimal solution to China’s institutional problem of health care provider selection from various experts, then the purpose of this study was to apply ...

  14. Opinions of decision-makers on the liberalization of abortion laws in Mexico Opiniones de tomadores de decisiones sobre la liberalización de la ley del aborto en México

    Directory of Open Access Journals (Sweden)

    Marieke G van Dijk

    2007-12-01

    Full Text Available OBJECTIVE: In the last decade, important advances were made in the struggle for reproductive rights in Mexico. The goal of this study was to discover the opinions of decision-makers about the grounds for legal abortion as well as to explore their perceptions about further liberalization of abortion laws countrywide. MATERIAL AND METHODS: In-depth interviews were conducted with eight prominent decision-makers working in governmental health, law and social institutions as well as representatives of political parties. RESULTS: Six decision-makers favored a further liberalization of abortion laws. They proposed several strategies to move forward with liberalization. Two decision-makers were against abortion under all circumstances. CONCLUSIONS: Three factors seem to play a key role in the liberalization of abortion: a liberal party governing at the state level, a favorable public opinion and the pressure of NGOs promoting reproductive rights. A state-by-state approach seems more effective for generating changes in abortion laws.OBJETIVO: En la última década se realizaron avances importantes en la lucha por los derechos reproductivos en México. El objetivo del estudio fue conocer las opiniones de tomadores de decisiones (TD sobre las causales para un aborto legal, así como explorar sus percepciones sobre la liberalización de las leyes en todo el país. MATERIAL Y MÉTODOS: Se realizaron entrevistas a profundidad con ocho TD de instituciones gubernamentales de asuntos sociales, legales y de salud, así como representantes de partidos políticos. RESULTADOS: Seis entrevistados favorecieron la liberalización de las leyes y propusieron varias estrategias para realizarla. Dos entrevistados estuvieron en contra del aborto bajo cualquier circunstancia. CONCLUSIONES: En la liberalización del aborto, tres factores parecen tener un papel relevante: un partido liberal gobernando estatalmente, una opinión pública favorable y la presión de ONG que

  15. An operational structured decision making framework for assessing changes in final ecosystem goods and services and consequences to human well-being

    Science.gov (United States)

    Pressure to develop an operational framework for decision makers to employ the concepts of ecosystem goods and services for assessing changes to human well-being has been increasing since these concepts gained widespread notoriety after the Millennium Ecosystem Assessment Report....

  16. Moral Hypocrisy on the Basis of Construal Level: To Be a Utilitarian Personal Decision Maker or to Be a Moral Advisor?

    Science.gov (United States)

    Xiao, Wei; Wu, Qing; Yang, Qun; Zhou, Liang; Jiang, Yuan; Zhang, Jiaxi; Miao, Danmin; Peng, Jiaxi

    2015-01-01

    Background People encounter various moral issues that involve making decisions for others by giving advice. Objective This study investigated the characteristics of providing suggestions for oneself versus providing suggestions for others in ethical decision-making and the differences between them based on Construal Level Theory (CLT). Methods A total of 768 undergraduate students from three universities in China were randomly assigned to eight groups on the basis of a grid of two Construal Levels (self or others) by two different numbers of people saved (5 people or 15 people) by two problem situations (trolley problem vs. footbridge problem). The investigation examined participants’ decisions to opt to take action or refrain from action that would have the consequence of saving more people. Results The main effects of Construal Level (F1, 752 = 6.46, p = .011), saving number (F1, 752 = 35.81, p utilitarian reasoning in the decision-making, and their behaviors appeared more utilitarian at low Construal Levels (CLs) compared to high. Conclusion CLs, saving numbers, and problem situation significantly affected moral decision-making and exhibited significant interaction. Making decisions for oneself (low-construal) rather than giving advice to others (high-construal) was one important factor that determined whether the people were utilitarian or not. Utilitarian considerations are more relevant in impersonal dilemmas. PMID:25689521

  17. 无边界职涯背景下的离职:重回决策者中心%Turnover under the Background of Boundaryless Career:Refocus on Employees as Decision-makers

    Institute of Scientific and Technical Information of China (English)

    吴杲; 杨东涛

    2015-01-01

    Turnover is a very important topic in management research. Taking the position of organization, most literature focused on how to reduce turnover by influencing employees’ attitude and thus minimize the negative impact on organizations. However, the nature of leaving an organization is an individual decision of employees. Therefore, under the background of boundaryless career, turnover research should shift its focus back to the employees as decision makers. This paper suggests: firstly, discussing the influential factors on turnover with a focus on the decision-maker; secondly, exploring the inner process of turnover decision-making; thirdly, paying more attention to the actual quitting behavior and the subsequent behavior.%离职曾被视作组织中的“问题”而受到学术界的重视。传统离职研究更关注通过改变员工的态度来减少离职,进而降低离职对组织产生的负面影响,具有鲜明的组织立场。然而离职的本质是员工个体的决策。无边界职业生涯背景下,面对更加多样化的生涯选择,员工在离职决策中的主体性更加凸显,离职研究需要重回决策者中心,重新聚焦决策者:(1)以决策者为中心探讨离职影响因素;(2)探讨决策者制定离职决策的内在过程;(3)关注员工离职的实际行为及后果。

  18. Moral hypocrisy on the basis of construal level: to be a utilitarian personal decision maker or to be a moral advisor?

    Directory of Open Access Journals (Sweden)

    Wei Xiao

    Full Text Available People encounter various moral issues that involve making decisions for others by giving advice.This study investigated the characteristics of providing suggestions for oneself versus providing suggestions for others in ethical decision-making and the differences between them based on Construal Level Theory (CLT.A total of 768 undergraduate students from three universities in China were randomly assigned to eight groups on the basis of a grid of two Construal Levels (self or others by two different numbers of people saved (5 people or 15 people by two problem situations (trolley problem vs. footbridge problem. The investigation examined participants' decisions to opt to take action or refrain from action that would have the consequence of saving more people.The main effects of Construal Level (F1, 752 = 6.46, p = .011, saving number (F1, 752 = 35.81, p < .001, and problem situation type (F1, 752 = 330.55, p < .001 were all significant. The interaction of the problem situation and saving number (F1, 752 = 1.01, p = .31, and social distance and saving number (F1, 752 = 0.85, p = .36, and interaction of the three independent factors (F1, 752 = 0.47, p = .49 were not significant. However, the interaction of social distance and problem situation (F1, 752 = 9.46, p = .002 was significant. Results indicated the participants utilized a component of utilitarian reasoning in the decision-making, and their behaviors appeared more utilitarian at low Construal Levels (CLs compared to high.CLs, saving numbers, and problem situation significantly affected moral decision-making and exhibited significant interaction. Making decisions for oneself (low-construal rather than giving advice to others (high-construal was one important factor that determined whether the people were utilitarian or not. Utilitarian considerations are more relevant in impersonal dilemmas.

  19. The Use of land evaluation information by land use planners and decision-makers; a case study in Santa Catarina, Brazil

    NARCIS (Netherlands)

    Bacic, I.L.Z.; Rossiter, D.G.; Bregt, A.K.

    2003-01-01

    Land evaluation is the prediction of land performance over time under specific uses, to guide strategic land use decisions. Modern land evaluation has a 30 year history, yet the results have often been disappointing. Land users and planners have been reported to ignore land evaluations, perhaps refl

  20. Bridging the gap between the economic evaluation literature and daily practice in occupational health: A qualitative study among decision-makers in the healthcare sector

    NARCIS (Netherlands)

    Dongen, J.M. van; Tompa, E.; Clune, L.; Sarnocinska-Hart, A.; Bongers, P.M.; Tulder, M.W. van; Beek, A.J. van der; Wier, M.F. van

    2013-01-01

    Background: Continued improvements in occupational health can only be ensured if decisions regarding the implementation and continuation of occupational health and safety interventions (OHS interventions) are based on the best available evidence. To ensure that this is the case, scientific evidence

  1. Assessment of human decision reliability - a case study

    Energy Technology Data Exchange (ETDEWEB)

    Pyy, P

    1998-07-01

    In his discussion of this case study, the author indicates that human beings are not merely machines who use rules. Thus, more focus needs to be put on studying decision making situations and their contexts. Decision theory (both normative and descriptive) and contextual psychological approaches may offer tools to cope with operator decision making. Further an ideal decision space needs to be defined for operators. The case study specifically addressed a loss of feedwater scenario and the various operator decisions that were involved in that scenario. It was concluded from this particular study that there are significant differences in the crew decision behaviours that are not explained by process variables. Through use of evidence from simulator tests with expert judgement, an approach to estimate probabilities has been developed. The modelling approach presented in this discussion is an extension of current HRA paradigms, but a natural one since all human beings make decisions.

  2. 具有风险决策者的供应链定量模型的综述与分析%A Review on Supply Chain Models with Risk-Averse Decision-makers

    Institute of Scientific and Technical Information of China (English)

    刘玉霜; 张纪会

    2012-01-01

    In reality, decision-makers are always risk-averse because of various uncertainty, so risk issues in supply chain management attract much attention recently. This paper first reviews several kinds of risk analytical methods used in supply chain risk management, then summarizes the major literatures that focus on supply chain models with risk-averse decision makers. Some quantitative models are analyzed, which include the inventory problems, asymmetric information, supply chain coordination and contract problems under different supply chain structures. Finally, current study situations are summarized; and future research directions of supply chain risk decision are proposed.%供应链管理过程中存在着种种不确定性,使得供应链中的行为主体是具有风险偏好的决策者,具有风险决策者的供应链管理目前成为供应链研究的一个重要方向.基于金融领域的各种风险分析工具,对具有风险厌恶决策者的一些供应链定量模型进行分类评述,讨论了风险厌恶对供应链系统性能的影响、单供应商对单零售商和单供应商对多零售商等不同供应链结构下的风险决策模型、以及具有风险厌恶决策者的供应链契约协调问题等,总结了目前的研究现状,并提出了进一步的研究方向.

  3. Human Decisions: Nitrogen Footprints and Environmental Effects

    Science.gov (United States)

    Leach, A. M.; Bleeker, A.; Galloway, J. N.; Erisman, J.

    2012-12-01

    would reduce the food N footprint by ~60%. Such a reduction would result in significant lessening of the impacts of societal use of food resources on both ecosystem and human health. The personal food nitrogen footprints will then be linked to environmental effects based on the N species of the nitrogen footprint. Environmental effects considered will include global warming, air quality, drinking water quality, eutrophication, and stratospheric ozone depletion. Each of the scenarios will be scaled up to represent the full population of the United States, and the total national nitrogen reductions and the impact on environmental effects will be reported. The results of this analysis will help us begin to solve the human dimension of the nitrogen challenge by showing how different personal choices impact nitrogen losses and the environment. This information can then educate and empower consumers to make informed decisions about their food choices.

  4. Decision making and imperfection

    CERN Document Server

    Karny, Miroslav; Wolpert, David

    2013-01-01

    Decision making (DM) is ubiquitous in both natural and artificial systems. The decisions made often differ from those recommended by the axiomatically well-grounded normative Bayesian decision theory, in a large part due to limited cognitive and computational resources of decision makers (either artificial units or humans). This state of a airs is often described by saying that decision makers are imperfect and exhibit bounded rationality. The neglected influence of emotional state and personality traits is an additional reason why normative theory fails to model human DM process.   The book is a joint effort of the top researchers from different disciplines to identify sources of imperfection and ways how to decrease discrepancies between the prescriptive theory and real-life DM. The contributions consider:   ·          how a crowd of imperfect decision makers outperforms experts' decisions;   ·          how to decrease decision makers' imperfection by reducing knowledge available;   ...

  5. Multi-species Management Using Modeling and Decision Theory Applications to Integrated Natural Resources Management Planning

    Science.gov (United States)

    2008-06-01

    of the decision maker, risk and uncertainty. Application of decision tools clarifies the logic and facts that support decisions. Resnik (1987...Structured decision making explicitly facilitates selection among alternatives based on their consequences ( Resnik 1987). Decision theory incorporates...species populations. Human and Ecological Risk Assessment, 9(4):889-906 Resnik , M.D. (1987). Choices: An Introduction to Decision Theory. University of

  6. A control theory model for human decision making

    Science.gov (United States)

    Levison, W. H.

    1972-01-01

    The optimal control model for pilot-vehicle systems has been extended to handle certain types of human decision tasks. The model for decision making incorporates the observation noise, optimal estimation, and prediction concepts that form the basis of the model for control behavior. Experiments are described for the following task situations: (1) single decision tasks; (2) two decision tasks; and (3) simultaneous manual control and decision tasks. Using fixed values for model parameters, single-task and two-task decision performance scores to within an accuracy of 10 percent can be predicted. The experiment on simultaneous control and decision indicates the presence of task interference in this situation, but the results are not adequate to allow a conclusive test of the predictive capability of the model.

  7. Studying Collective Human Decision Making and Creativity with Evolutionary Computation

    OpenAIRE

    Sayama, Hiroki; Dionne, Shelley D.

    2014-01-01

    We report a summary of our interdisciplinary research project "Evolutionary Perspective on Collective Decision Making" that was conducted through close collaboration between computational, organizational and social scientists at Binghamton University. We redefined collective human decision making and creativity as evolution of ecologies of ideas, where populations of ideas evolve via continual applications of evolutionary operators such as reproduction, recombination, mutation, selection, and...

  8. Modelling Human Emotions for Tactical Decision-Making Games

    Science.gov (United States)

    Visschedijk, Gillian C.; Lazonder, Ard W.; van der Hulst, Anja; Vink, Nathalie; Leemkuil, Henny

    2013-01-01

    The training of tactical decision making increasingly occurs through serious computer games. A challenging aspect of designing such games is the modelling of human emotions. Two studies were performed to investigate the relation between fidelity and human emotion recognition in virtual human characters. Study 1 compared five versions of a virtual…

  9. Modelling human emotions for tactical decision-making games

    NARCIS (Netherlands)

    Visschedijk, G.C.; Lazonder, A.W.; Hulst, A.H. van der; Vink, N.; Leemkuil, H.

    2013-01-01

    The training of tactical decision making increasingly occurs through serious computer games. A challenging aspect of designing such games is the modelling of human emotions. Two studieswere performed to investigate the relation between fidelity and human emotion recognition in virtual human characte

  10. Modelling human emotions for tactical decision-making games

    NARCIS (Netherlands)

    Visschedijk, G.C.; Lazonder, A.W.; Hulst, A.H. van der; Vink, N.; Leemkuil, H.

    2013-01-01

    The training of tactical decision making increasingly occurs through serious computer games. A challenging aspect of designing such games is the modelling of human emotions. Two studieswere performed to investigate the relation between fidelity and human emotion recognition in virtual human characte

  11. Following Human Footsteps: Proposal of a Decision Theory Based on Human Behavior

    Science.gov (United States)

    Mahmud, Faisal

    2011-01-01

    Human behavior is a complex nature which depends on circumstances and decisions varying from time to time as well as place to place. The way a decision is made either directly or indirectly related to the availability of the options. These options though appear at random nature, have a solid directional way for decision making. In this paper, a decision theory is proposed which is based on human behavior. The theory is structured with model sets that will show the all possible combinations for making a decision, A virtual and simulated environment is considered to show the results of the proposed decision theory

  12. Studying Collective Human Decision Making and Creativity with Evolutionary Computation.

    Science.gov (United States)

    Sayama, Hiroki; Dionne, Shelley D

    2015-01-01

    We report a summary of our interdisciplinary research project "Evolutionary Perspective on Collective Decision Making" that was conducted through close collaboration between computational, organizational, and social scientists at Binghamton University. We redefined collective human decision making and creativity as evolution of ecologies of ideas, where populations of ideas evolve via continual applications of evolutionary operators such as reproduction, recombination, mutation, selection, and migration of ideas, each conducted by participating humans. Based on this evolutionary perspective, we generated hypotheses about collective human decision making, using agent-based computer simulations. The hypotheses were then tested through several experiments with real human subjects. Throughout this project, we utilized evolutionary computation (EC) in non-traditional ways-(1) as a theoretical framework for reinterpreting the dynamics of idea generation and selection, (2) as a computational simulation model of collective human decision-making processes, and (3) as a research tool for collecting high-resolution experimental data on actual collaborative design and decision making from human subjects. We believe our work demonstrates untapped potential of EC for interdisciplinary research involving human and social dynamics.

  13. Etude statistique des brevets: un nouvel outil d'aide à la décision Patent Statistics: a New Tool for Decision Makers

    Directory of Open Access Journals (Sweden)

    Moureau M.

    2006-11-01

    . Such analyses then fall within the scope of decision-making tools, since they bring to light a certain interpretation of the past and can be used for forecasts in the future.

  14. "Good idea but not feasible" – the views of decision makers and stakeholders towards strategies for better palliative care in Germany: a representative survey

    Directory of Open Access Journals (Sweden)

    Schneider Nils

    2009-07-01

    Full Text Available Abstract Background Statements on potential measures to improve palliative care in Germany predominantly reflect the points of view of experts from specialized palliative care organizations. By contrast, relatively little is known about the views of representatives of organizations and institutions that do not explicitly specialize in palliative care, but are involved to a relevant extent in the decision-making and policy-making processes. Therefore, for the first time in Germany, we carried out a representative study of the attitudes of a broad range of different stakeholders acting at the national or state level of the health care system. Methods 442 organizations and institutions were included and grouped as follows: patient organizations, nursing organizations, medical associations, specialized palliative care organizations, political institutions, health insurance funds and others. Using a standardized questionnaire, the participants were asked to rate their agreement with the World Health Organization's definition of palliative care (five-point scale: 1 = completely agree, 5 = completely disagree and to evaluate 18 pre-selected improvement measures with regard to their general meaningfulness and the feasibility of their introduction into the German health care system (two-point scale: 1 = good, 2 = poor. Results The response rate was 67%. Overall, the acceptance of the aims of palliative care in the WHO definition was strong. However, the level of agreement among health insurance funds' representatives was significantly less than that among representatives of the palliative care organizations. All the improvement measures selected for evaluation were rated significantly higher in respect of their meaningfulness than of their feasibility in Germany. In detail, the meaningfulness of 16 measures was evaluated positively (70–100% participants chose the answer "good"; for six of these measures feasibility was evaluated negatively (0–30

  15. Disrupting Capacity Management of Service Operation System under Decision-maker's Risk Attitude%考虑管理者风险态度的大型服务运作系统能力应急管理

    Institute of Scientific and Technical Information of China (English)

    包兴; 季建华

    2009-01-01

    The capacity loss of large-scale service operation system after disruption is considered, and the capacity management mode during the disrupting periods is analyzed. Mathematic model is created with the capacity recovery and procurement under the consideration of decision-maker's risk attitude. Four important managerial insights are obtained through numerical simulation, which are useful for the guidance in the scientific decision making of service operation system and social administration department.%以突发事件发生后,大型服务运作系统的运营能力遭受损伤为研究背景,分析了应急期间服务运作系统能力的应急管理模式,围绕应急期间系统内部能力恢复和外部能力采购以及管理者风险态度的3方面因素,构建了以应急总成本最小为目标的能力应急管理模型.通过数值分析得到4个重要的应急管理结论,对社会管理部门以及运作系统自身科学的应急决策均具有一定的指导意义.

  16. Aiding human reliance decision making using computational models of trust

    NARCIS (Netherlands)

    Maanen, P.P. van; Klos, T.; Dongen, C.J. van

    2007-01-01

    This paper involves a human-agent system in which there is an operator charged with a pattern recognition task, using an automated decision aid. The objective is to make this human-agent system operate as effectively as possible. Effectiveness is gained by an increase of appropriate reliance on the

  17. The unsustainable Makers

    Directory of Open Access Journals (Sweden)

    Adam Arvidsson

    2010-03-01

    Full Text Available The Makers is the latest novel of the American science fiction writer, blogger and Silicon Valley intellectual Cory Doctorow. Set in the 2010s, the novel describes the possible impact of the present trend towards the migration of modes of production and organization that have emerged online into the sphere of material production. Called New Work, this movement is indebted to a new maker culture that attracts people into a kind of neo-artisan, high tech mode of production. The question is: can a corporate-funded New Work movement be sustainable? Doctorow seems to suggest that a capitalist economy of abundance is unsustainable because it tends to restrict the reach of its value flows to a privileged managerial elite.

  18. Metabolic state alters economic decision making under risk in humans.

    Directory of Open Access Journals (Sweden)

    Mkael Symmonds

    Full Text Available BACKGROUND: Animals' attitudes to risk are profoundly influenced by metabolic state (hunger and baseline energy stores. Specifically, animals often express a preference for risky (more variable food sources when below a metabolic reference point (hungry, and safe (less variable food sources when sated. Circulating hormones report the status of energy reserves and acute nutrient intake to widespread targets in the central nervous system that regulate feeding behaviour, including brain regions strongly implicated in risk and reward based decision-making in humans. Despite this, physiological influences per se have not been considered previously to influence economic decisions in humans. We hypothesised that baseline metabolic reserves and alterations in metabolic state would systematically modulate decision-making and financial risk-taking in humans. METHODOLOGY/PRINCIPAL FINDINGS: We used a controlled feeding manipulation and assayed decision-making preferences across different metabolic states following a meal. To elicit risk-preference, we presented a sequence of 200 paired lotteries, subjects' task being to select their preferred option from each pair. We also measured prandial suppression of circulating acyl-ghrelin (a centrally-acting orexigenic hormone signalling acute nutrient intake, and circulating leptin levels (providing an assay of energy reserves. We show both immediate and delayed effects on risky decision-making following a meal, and that these changes correlate with an individual's baseline leptin and changes in acyl-ghrelin levels respectively. CONCLUSIONS/SIGNIFICANCE: We show that human risk preferences are exquisitely sensitive to current metabolic state, in a direction consistent with ecological models of feeding behaviour but not predicted by normative economic theory. These substantive effects of state changes on economic decisions perhaps reflect shared evolutionarily conserved neurobiological mechanisms. We suggest that

  19. Human-Computer Interactions and Decision Behavior

    Science.gov (United States)

    1984-01-01

    software interfaces. The major components of the reseach program included the Diaiogue Management System. (DMS) operating environment, the role of...specification; and new methods for modeling, designing, and developing human-computer interfaces based on syntactic and semantic specification. The DMS...achieving communication is language. Accordingly, the transaction model employs a linguistic model consisting of parts that relate computer responses

  20. Integrating human and robot decision-making dynamics with feedback : Models and convergence analysis

    NARCIS (Netherlands)

    Cao, Ming; Stewart, Andrew; Leonard, Naomi Ehrich

    2008-01-01

    Leveraging research by psychologists on human decision-making, we present a human-robot decision-making problem associated with a complex task and study the corresponding joint decision-making dynamics. The collaborative task is designed so that the human makes decisions just as human subjects make

  1. Accommodating complexity and human behaviors in decision analysis.

    Energy Technology Data Exchange (ETDEWEB)

    Backus, George A.; Siirola, John Daniel; Schoenwald, David Alan; Strip, David R.; Hirsch, Gary B.; Bastian, Mark S.; Braithwaite, Karl R.; Homer, Jack [Homer Consulting

    2007-11-01

    This is the final report for a LDRD effort to address human behavior in decision support systems. One sister LDRD effort reports the extension of this work to include actual human choices and additional simulation analyses. Another provides the background for this effort and the programmatic directions for future work. This specific effort considered the feasibility of five aspects of model development required for analysis viability. To avoid the use of classified information, healthcare decisions and the system embedding them became the illustrative example for assessment.

  2. 个体决策者有限理性的影响因素分析%Analysis on Impact Factors of Bounded Rationality of Individual Decision-maker

    Institute of Scientific and Technical Information of China (English)

    赵令锐; 张骥骧

    2012-01-01

    有限理性是比完全理性更符合社会经济实际情况的假说.论文在相关文献梳理的基础上,主要从决策者自身和决策环境两方面来考虑,采用定性分析的方法对影响个体决策者有限理性的四大因素——认知、心智成本、不确定性和信息成本进行系统研究,分析有限理性与这四个影响因素之间的复杂关系,并对影响因素之间的交互效应进行研究.%Bounded rationality is more consistent with social and economic reality than complete rationality. Based on review of relevant literatures, this paper, by using a qualitative method, discussed four impact factors of bounded rationality of individual decision-maker: cognition, cost of intelligence, uncertainty and cost of information. The complex relations between bounded rationality and the four impact factors were analyzed, and then the interactive effect of the four impact factors was studied.

  3. MARKET MAKER AND MAS

    Directory of Open Access Journals (Sweden)

    ADRIAN VICTOR SĂNDIŢĂ

    2015-10-01

    Full Text Available In the last years, the research of multiagent systems for knowledge and information management has known a significant development. The interest for multiagent systems is in continuous growth due to the multitude of benefits associated with using these. The development of the architectures of mutiagents systems which facilitate information management, is an important direction in nowadays research. This paper presents the implementation of a multiagent system designed to perform the specific activities of a market maker in the Bucharest Stock Exchange. The system works in real time without an intervention from the operator and allows the insertion in the real market and/or the automatic cancelation of buy orders and stock exchange. The agents can be installed in one or more work stations and communicate through TCP/IP and UDP.

  4. Needed Research in Adult Literacy for Policy Makers and Planners.

    Science.gov (United States)

    Bhola, H. S.

    1981-01-01

    Discusses the formulation of a global strategy for the eradication of adult illiteracy. The strategy must involve the definition and discussion of options available to policy makers and the promotion of research that clarifies policy choices and planning decisions. (JOW)

  5. Restructuring of Values and Probabilities: Psychological Processes in Human Decision Making under Risk

    Energy Technology Data Exchange (ETDEWEB)

    Svenson, Ola; Salo, Ilkka [Stockholm Univ. (Sweden). Dept. of Psychology

    2001-07-01

    According to Differentiation and Consolidation Theory (Diff Con), the decision maker's representations of values and probabilities are interdependent and changing over time in risky decision making. This is a clear violation of most normative theories of decision making. The present contribution will present Diff Con and provide empirical illustrations of how mental representations of values and probabilities change over time. The paper concludes with a discussion of the implications of these findings concerning expert and lay people decision making about risks and hazards.

  6. Structure learning in human sequential decision-making.

    Science.gov (United States)

    Acuña, Daniel E; Schrater, Paul

    2010-12-02

    Studies of sequential decision-making in humans frequently find suboptimal performance relative to an ideal actor that has perfect knowledge of the model of how rewards and events are generated in the environment. Rather than being suboptimal, we argue that the learning problem humans face is more complex, in that it also involves learning the structure of reward generation in the environment. We formulate the problem of structure learning in sequential decision tasks using Bayesian reinforcement learning, and show that learning the generative model for rewards qualitatively changes the behavior of an optimal learning agent. To test whether people exhibit structure learning, we performed experiments involving a mixture of one-armed and two-armed bandit reward models, where structure learning produces many of the qualitative behaviors deemed suboptimal in previous studies. Our results demonstrate humans can perform structure learning in a near-optimal manner.

  7. Structure learning in human sequential decision-making.

    Directory of Open Access Journals (Sweden)

    Daniel E Acuña

    Full Text Available Studies of sequential decision-making in humans frequently find suboptimal performance relative to an ideal actor that has perfect knowledge of the model of how rewards and events are generated in the environment. Rather than being suboptimal, we argue that the learning problem humans face is more complex, in that it also involves learning the structure of reward generation in the environment. We formulate the problem of structure learning in sequential decision tasks using Bayesian reinforcement learning, and show that learning the generative model for rewards qualitatively changes the behavior of an optimal learning agent. To test whether people exhibit structure learning, we performed experiments involving a mixture of one-armed and two-armed bandit reward models, where structure learning produces many of the qualitative behaviors deemed suboptimal in previous studies. Our results demonstrate humans can perform structure learning in a near-optimal manner.

  8. The human factor: behavioral and neural correlates of humanized perception in moral decision making.

    Directory of Open Access Journals (Sweden)

    Jasminka Majdandžić

    Full Text Available The extent to which people regard others as full-blown individuals with mental states ("humanization" seems crucial for their prosocial motivation towards them. Previous research has shown that decisions about moral dilemmas in which one person can be sacrificed to save multiple others do not consistently follow utilitarian principles. We hypothesized that this behavior can be explained by the potential victim's perceived humanness and an ensuing increase in vicarious emotions and emotional conflict during decision making. Using fMRI, we assessed neural activity underlying moral decisions that affected fictitious persons that had or had not been experimentally humanized. In implicit priming trials, participants either engaged in mentalizing about these persons (Humanized condition or not (Neutral condition. In subsequent moral dilemmas, participants had to decide about sacrificing these persons' lives in order to save the lives of numerous others. Humanized persons were sacrificed less often, and the activation pattern during decisions about them indicated increased negative affect, emotional conflict, vicarious emotions, and behavioral control (pgACC/mOFC, anterior insula/IFG, aMCC and precuneus/PCC. Besides, we found enhanced effective connectivity between aMCC and anterior insula, which suggests increased emotion regulation during decisions affecting humanized victims. These findings highlight the importance of others' perceived humanness for prosocial behavior - with aversive affect and other-related concern when imagining harming more "human-like" persons acting against purely utilitarian decisions.

  9. Selection and inhibition mechanisms for human voluntary action decisions.

    Science.gov (United States)

    Zhang, Jiaxiang; Hughes, Laura E; Rowe, James B

    2012-10-15

    One can choose between action alternatives that have no apparent difference in their outcomes. Such voluntary action decisions are associated with widespread frontal-parietal activation, and a tendency to inhibit the repetition of a previous action. However, the mechanism of initiating voluntary actions and the functions of different brain regions during this process remains largely unknown. Here, we combine computational modeling and functional magnetic resonance imaging to test the selection and inhibition mechanisms that mediate trial-to-trial voluntary action decisions. We fitted an optimized accumulator model to behavioral responses in a finger-tapping task in which participants were instructed to make chosen actions or specified actions. Model parameters derived from each individual were then applied to estimate the expected accumulated metabolic activity (EAA) engaged in every single trial. The EAA was associated with blood oxygenation level-dependent responses in a decision work that was maximal in the supplementary motor area and the caudal anterior cingulate cortex, consistent with a competitive accumulation-to-threshold mechanism for action decision by these regions. Furthermore, specific inhibition of the previous action's accumulator was related to the suppression of response repetition. This action-specific inhibition correlated with the activity of the right inferior frontal gyrus, when the option to repeat existed. Our findings suggest that human voluntary action decisions are mediated by complementary processes of intentional selection and inhibition.

  10. Incorporating BDI Agents into Human-Agent Decision Making Research

    Science.gov (United States)

    Kamphorst, Bart; van Wissen, Arlette; Dignum, Virginia

    Artificial agents, people, institutes and societies all have the ability to make decisions. Decision making as a research area therefore involves a broad spectrum of sciences, ranging from Artificial Intelligence to economics to psychology. The Colored Trails (CT) framework is designed to aid researchers in all fields in examining decision making processes. It is developed both to study interaction between multiple actors (humans or software agents) in a dynamic environment, and to study and model the decision making of these actors. However, agents in the current implementation of CT lack the explanatory power to help understand the reasoning processes involved in decision making. The BDI paradigm that has been proposed in the agent research area to describe rational agents, enables the specification of agents that reason in abstract concepts such as beliefs, goals, plans and events. In this paper, we present CTAPL: an extension to CT that allows BDI software agents that are written in the practical agent programming language 2APL to reason about and interact with a CT environment.

  11. The decision-making process between rationality and emotions

    NARCIS (Netherlands)

    Alvino, Letizia; Franco, Massimo

    2017-01-01

    The decision-making process has been analyzed in several disciplines (economics, social sciences, humanities, etc.) with the aim of creating models to help decision-makers in strategy formulation. The Organizational theory takes into account both the decision-making process of individuals and groups

  12. Programming of a refinery from the perspective of the decision makers: trade-offs analysis for corporate and technical guidelines; A programacao de uma refinaria sob a otica do decisor: uma analise dos trade-offs diante das orientacoes tecnicas e corporativas

    Energy Technology Data Exchange (ETDEWEB)

    Spiegel, Thais; Caulliraux, Heitor Mansur; Proenca, Adriano [Coordenacao dos Programas de Pos-Graduacao de Engenharia (COPPE/UFRJ), RJ (Brazil)

    2012-07-01

    Refineries usually gather a set of activities that shape how complex and dynamic it is. Adding to the complexity of the refining process, there is also a great freedom in the refinery operations, multiple arrangements possible to convert certain oil in derivatives. In this context, this article focuses on decision-making processes that lead refineries of an integrated oil company in their day to day. As decision-making, the text refers to a process that always brings a kind of conflict resolution, in which contradictory goals have to be negotiated and reconciled. The object of analysis is inserted in hierarchical decision-making processes, ie a process of disintegration, which begins with a comprehensive assessment, and then divides the decision in elements smaller and more defined, so that they are interdependent. The output at an aggregate level shall be the input in the next detailed level. In each level of the hierarchical, decision-making is the result of a problem, presented in a given context to a decision maker. Decision maker will be the responsible for the direction of the refinery production to which it is allocated. The programmer of each refinery is general guidelines that should be considered, albeit non-explicit or non-configurable, in some cases these take the form of technical criteria and in other situations derived from the business. From these, this article presents a critical and analytical in the face of dilemmas that emerge in front of decision makers search for converging a production schedule that meets both the criteria set. (author)

  13. Leadership, consensus decision making and collective behaviour in humans.

    Science.gov (United States)

    Dyer, John R G; Johansson, Anders; Helbing, Dirk; Couzin, Iain D; Krause, Jens

    2009-03-27

    This paper reviews the literature on leadership in vertebrate groups, including recent work on human groups, before presenting the results of three new experiments looking at leadership and decision making in small and large human groups. In experiment 1, we find that both group size and the presence of uninformed individuals can affect the speed with which small human groups (eight people) decide between two opposing directional preferences and the likelihood of the group splitting. In experiment 2, we show that the spatial positioning of informed individuals within small human groups (10 people) can affect the speed and accuracy of group motion. We find that having a mixture of leaders positioned in the centre and on the edge of a group increases the speed and accuracy with which the group reaches their target. In experiment 3, we use large human crowds (100 and 200 people) to demonstrate that the trends observed from earlier work using small human groups can be applied to larger crowds. We find that only a small minority of informed individuals is needed to guide a large uninformed group. These studies build upon important theoretical and empirical work on leadership and decision making in animal groups.

  14. Optimization-based Analysis and Training of Human Decision Making

    OpenAIRE

    Engelhart, Michael

    2015-01-01

    In the research domain Complex Problem Solving (CPS) in psychology, computer-supported tests are used to analyze complex human decision making and problem solving. The approach is to use computer-based microworlds and to evaluate the performance of participants in such test-scenarios and correlate it to certain characteristics. However, these test-scenarios have usually been defined on a trial-and-error basis, until certain characteristics became apparent. The more complex models ...

  15. Modeling human decision making behavior in supervisory control

    Science.gov (United States)

    Tulga, M. K.; Sheridan, T. B.

    1977-01-01

    An optimal decision control model was developed, which is based primarily on a dynamic programming algorithm which looks at all the available task possibilities, charts an optimal trajectory, and commits itself to do the first step (i.e., follow the optimal trajectory during the next time period), and then iterates the calculation. A Bayesian estimator was included which estimates the tasks which might occur in the immediate future and provides this information to the dynamic programming routine. Preliminary trials comparing the human subject's performance to that of the optimal model show a great similarity, but indicate that the human skips certain movements which require quick change in strategy.

  16. A Meta-Analysis of Blood Glucose Effects on Human Decision Making

    DEFF Research Database (Denmark)

    Orquin, Jacob L.; Kurzban, Robert

    2016-01-01

    The academic and public interest in blood glucose and its relationship to decision making has been increasing over the last decade. To investigate and evaluate competing theories about this relationship, we conducted a psychometric meta-analysis on the effect of blood glucose on decision making. We...... identified 42 studies relating to 4 dimensions of decision making: willingness to pay, willingness to work, time discounting, and decision style. We did not find a uniform influence of blood glucose on decision making. Instead, we found that low levels of blood glucose increase the willingness to pay...... and willingness to work when a situation is food related, but decrease willingness to pay and work in all other situations. Low levels of blood glucose increase the future discount rate for food; that is, decision makers become more impatient, and to a lesser extent increase the future discount rate for money...

  17. Research of Project Portfolio Selection Model and Optimization Considering Interdependencies based on Preferences Incorporation of Decision Maker%决策者偏好交互项目组合选择模型及算法优化研究

    Institute of Scientific and Technical Information of China (English)

    罗淑娟; 白思俊; 郭云涛

    2016-01-01

    Project Portfolio Selection is known as the essential element of strategic project management and deci⁃sion. There are also some disadvantages in model and methods which are based on the project portfolio selection considering interdependencies and preference incorporation of decision maker. The paper proposes an novel outran⁃king model to classify the preference relationship between different projects, and it also bring the synergies and in⁃terdependencies into consideration which makes the model more complete. Moreover, it proposes the improved par⁃ticle swarm optimization algorithm based on the model which speeds up convergence an expand the diversity of non⁃dominant solutions simultaneously. In the restrained condition of preferences incorporation and interdependencies, the paper comes up with the experiments to verify the model and method respectively. The results indicate that the non⁃dominant solutions achieved by the outranking model are likely to the optimum of project portfolio selection, and the improved particle swarm optimization search the results faster.%项目组合选择是战略项目管理决策的重要环节,目前基于决策者偏好的交互项目组合选择的研究仍然在模型和算法上存在不足。首先提出级别优先模型细致划分了项目间的偏好关系,并引入了项目间的协同交互,使模型更加完备。进而结合该模型改进了多目标粒子群算法,加快其收敛速度,并拓展其非劣解的多样性。在考虑决策者偏好和项目间交互约束的条件下,分别对偏好模型和模型求解算法进行了仿真验证。仿真结果表明,采用级别优先模型所得的非劣解更加接近项目组合选择的最优解,改进粒子群算法的搜索速度更快。

  18. Real Life Decision Optimization Model

    OpenAIRE

    Raju, Naga; Reddy, Diwakar; Reddy, Rajeswara; Krishnaiah, G

    2016-01-01

    In real life scientific and engineering problems decision making is common practice. Decision making include single decision maker or group of decision makers. Decision maker’s expressions consists imprecise, inconsistent and indeterminate information. Also, the decision maker cannot select the best solution in unidirectional (single goal) way. Therefore, proposed model adopts decision makers’ opinions in Neutrosophic Values (SVNS/INV) which effectively deals imprecise, inconsistent and indet...

  19. 公司最高决策者教育背景与公司风险承受关系的实证研究%An Empirical Study on the Relationship between the Educational Background of Top Decision Makers and Their Corporate Risk Tolerance in China

    Institute of Scientific and Technical Information of China (English)

    王永海; 周为

    2013-01-01

    Educational background of top decision makers in corporation has important influences on corporate risk tolerance level. Using a sample set of listed companies in Shanghai and Shenzhen Stock Exchange from 2003 to 2012, we document a significant negative correlation between top decision makers' education level and their corporate risk tolerance. Corporations run by more highly educated decision makers were found to have lower earnings volatility and asset-liability ratio, and higher risk management and tolerance capacity. We also found a significant difference between top decision makers under different educational patterns. Top decision makers with higher education background are more risk averse than those who have vocational education background. This study implicates that education has significant influence on risk decision. Moreover, it contributes to deep understanding of educational investment and return, and has important theoretical significance on optimizing corporate management.%公司最高决策者的教育背景对公司风险承受水平有着重要影响。本文以2003年-2012年上海、深圳交易所的上市公司为研究样本,实证检验了我国上市公司最高决策者(董事长)的教育背景与其公司风险承受水平的关系。研究发现:最高决策者受教育程度越高,公司盈余波动性和资产负债率越低,风险管理和承受能力越强。普通高等教育模式下培养的最高决策者比职业教育模式下培养的最高决策者风险规避态度更强,两者管理的公司风险承受水平有显著差异。研究证明了教育对风险决策产生显著影响,这一结论有助于加深对教育投资与回报的理解,对公司管理优化也有重要理论意义。

  20. Communicating the Needs of Climate Change Policy Makers to Scientists

    Science.gov (United States)

    Brown, Molly E.; Escobar, Vanessa M.; Lovell, Heather

    2012-01-01

    This chapter will describe the challenges that earth scientists face in developing science data products relevant to decision maker and policy needs, and will describe strategies that can improve the two-way communication between the scientist and the policy maker. Climate change policy and decision making happens at a variety of scales - from local government implementing solar homes policies to international negotiations through the United Nations Framework Convention on Climate Change. Scientists can work to provide data at these different scales, but if they are not aware of the needs of decision makers or understand what challenges the policy maker is facing, they are likely to be less successful in influencing policy makers as they wished. This is because the science questions they are addressing may be compelling, but not relevant to the challenges that are at the forefront of policy concerns. In this chapter we examine case studies of science-policy partnerships, and the strategies each partnership uses to engage the scientist at a variety of scales. We examine three case studies: the global Carbon Monitoring System pilot project developed by NASA, a forest biomass mapping effort for Silvacarbon project, and a forest canopy cover project being conducted for forest management in Maryland. In each of these case studies, relationships between scientists and policy makers were critical for ensuring the focus of the science as well as the success of the decision-making.

  1. Breakthrough in the Human Decision Making Based on an Unconscious Origin of Free Will

    OpenAIRE

    Dubois, Daniel

    2010-01-01

    This paper deals with a breakthrough in the concept of free will in the human decision making. It is assumed that the consciousness and unconsciousness show the same mind processes in the human brain. The decision making initiates unconsciously in the human brain, and, eventually, becomes a conscious decision. So the free will is unconsciously prepared in the human brain. Then I conjecture that what is called the conscious human brain is just the enlightening of some parts of the unconscious ...

  2. 考虑管理者风险态度因子的生产运作系统能力应急管理模型研究%Disrupting Capacity Management Model of Production Operation System by Including Decision-Maker's Risk Attitude Factor

    Institute of Scientific and Technical Information of China (English)

    包兴

    2011-01-01

    In the recent decades, many external factors (e. G. Natural disasters, terrorist attacks, and political turmoil) have constantly disrupted the normal operations of some large-scaled systems, such as power grids, communication stations and chemical plants. The system disruption can cause great losses to a society and its economy. The management begins paying attention to hedging risks of system disruptions. Current literature underestimates the potential influence of a decision maker's risk attitude ( e. G. Risk-netural, conservative or aggressive) on risk management. To provide a reasonable model to manage risks associated with the capacity disruption, we add the risk attitude of decision makers to a mathematical model.In the year of 2008, a great freezingA heavy rain hit the southern China in 2008 and, which caused the a wide-ranged collapse of power grids. When managing the disruption, we found that damaged systems need to face two important issues. First, During the disruption management, we found two interesting restricts that capacity-injured systems have to face; first, the recovery of critical capacity is a cost-expensive and multi-periods process, due to the technique of maintenance department and provision of spare parts.Second, capacity-sharing partners could support parts of capacity that is usually much cheaper than recovery; however, the sharing of capacity has limited quantity and uncertain provision. Based on these findings, a a factor is firstly constructed to map the inventory and capacity-shortage into a decision-maker's risk attitude. Second, we proposed a single-period capacity disruption management model and then extended it to a multi-period model that has a proven unique solution sequence. Finally, we present a sensitive analysis towards key parameters by using the Genetic Algorithm.A comparison is presented with the research of [ 17 ] , we find 4Four interesting managerial insights were discovered. First, aggressive or conservative of

  3. Beginning RPG Maker VX Ace

    CERN Document Server

    Perez, Darrin

    2014-01-01

    Beginning RPG Maker VX Ace takes you through the process of using the RPG Maker VX Ace game development engine to create your very own role playing game. The book has been designed with the complete beginner in mind who has little to no experience with the engine. Tutorials and exercises will take you from installing the software to putting the final touches upon your first project. Game design can be quite a daunting challenge, as it generally involves a large amount of programming know-how on top of having to plan everything out that makes a good game what it is. RPG Maker VX Ace

  4. Bayesian decision making in human collectives with binary choices

    CERN Document Server

    Eguíluz, Víctor M; Fernández-Gracia, J

    2015-01-01

    Here we focus on the description of the mechanisms behind the process of information aggregation and decision making, a basic step to understand emergent phenomena in society, such as trends, information spreading or the wisdom of crowds. In many situations, agents choose between discrete options. We analyze experimental data on binary opinion choices in humans. The data consists of two separate experiments in which humans answer questions with a binary response, where one is correct and the other is incorrect. The questions are answered without and with information on the answers of some previous participants. We find that a Bayesian approach captures the probability of choosing one of the answers. The influence of peers is uncorrelated with the difficulty of the question. The data is inconsistent with Weber's law, which states that the probability of choosing an option depends on the proportion of previous answers choosing that option and not on the total number of those answers. Last, the present Bayesian ...

  5. Better science does not make decisions easier

    NARCIS (Netherlands)

    Ale, B.J.M.

    2013-01-01

    Forty years of development in the science and technology of estimating and quantifying risk, of understanding of human behaviour and human rationale has made decision makers more informed. We are in a much better position now, than forty years ago in estimating probabilities, consequences, and damag

  6. How clinical decisions are made.

    Science.gov (United States)

    Bate, Louise; Hutchinson, Andrew; Underhill, Jonathan; Maskrey, Neal

    2012-10-01

    There is much variation in the implementation of the best available evidence into clinical practice. These gaps between evidence and practice are often a result of multiple individual decisions. When making a decision, there is so much potentially relevant information available, it is impossible to know or process it all (so called 'bounded rationality'). Usually, a limited amount of information is selected to reach a sufficiently satisfactory decision, a process known as satisficing. There are two key processes used in decision making: System 1 and System 2. System 1 involves fast, intuitive decisions; System 2 is a deliberate analytical approach, used to locate information which is not instantly recalled. Human beings unconsciously use System 1 processing whenever possible because it is quicker and requires less effort than System 2. In clinical practice, gaps between evidence and practice can occur when a clinician develops a pattern of knowledge, which is then relied on for decisions using System 1 processing, without the activation of a System 2 check against the best available evidence from high quality research. The processing of information and decision making may be influenced by a number of cognitive biases, of which the decision maker may be unaware. Interventions to encourage appropriate use of System 1 and System 2 processing have been shown to improve clinical decision making. Increased understanding of decision making processes and common sources of error should help clinical decision makers to minimize avoidable mistakes and increase the proportion of decisions that are better.

  7. A critical meta-analysis of lens model studies in human judgment and decision-making.

    Science.gov (United States)

    Kaufmann, Esther; Reips, Ulf-Dietrich; Wittmann, Werner W

    2013-01-01

    Achieving accurate judgment ('judgmental achievement') is of utmost importance in daily life across multiple domains. The lens model and the lens model equation provide useful frameworks for modeling components of judgmental achievement and for creating tools to help decision makers (e.g., physicians, teachers) reach better judgments (e.g., a correct diagnosis, an accurate estimation of intelligence). Previous meta-analyses of judgment and decision-making studies have attempted to evaluate overall judgmental achievement and have provided the basis for evaluating the success of bootstrapping (i.e., replacing judges by linear models that guide decision making). However, previous meta-analyses have failed to appropriately correct for a number of study design artifacts (e.g., measurement error, dichotomization), which may have potentially biased estimations (e.g., of the variability between studies) and led to erroneous interpretations (e.g., with regards to moderator variables). In the current study we therefore conduct the first psychometric meta-analysis of judgmental achievement studies that corrects for a number of study design artifacts. We identified 31 lens model studies (N = 1,151, k = 49) that met our inclusion criteria. We evaluated overall judgmental achievement as well as whether judgmental achievement depended on decision domain (e.g., medicine, education) and/or the level of expertise (expert vs. novice). We also evaluated whether using corrected estimates affected conclusions with regards to the success of bootstrapping with psychometrically-corrected models. Further, we introduce a new psychometric trim-and-fill method to estimate the effect sizes of potentially missing studies correct psychometric meta-analyses for effects of publication bias. Comparison of the results of the psychometric meta-analysis with the results of a traditional meta-analysis (which only corrected for sampling error) indicated that artifact correction leads to a) an

  8. Designing Human-Centered Systems for Reflective Decision Making

    NARCIS (Netherlands)

    Pommeranz, A.

    2012-01-01

    Taking major life decisions, e.g. what career to follow, is difficult and sometimes emotional. One has to find out what exactly one wants, consider the long-term consequences of the decisions and be empathetic for loved ones affected by the decisions. Decision making also deals with establishing and

  9. Designing Human-Centered Systems for Reflective Decision Making

    NARCIS (Netherlands)

    Pommeranz, A.

    2012-01-01

    Taking major life decisions, e.g. what career to follow, is difficult and sometimes emotional. One has to find out what exactly one wants, consider the long-term consequences of the decisions and be empathetic for loved ones affected by the decisions. Decision making also deals with establishing and

  10. Model of human collective decision-making in complex environments

    Science.gov (United States)

    Carbone, Giuseppe; Giannoccaro, Ilaria

    2015-12-01

    A continuous-time Markov process is proposed to analyze how a group of humans solves a complex task, consisting in the search of the optimal set of decisions on a fitness landscape. Individuals change their opinions driven by two different forces: (i) the self-interest, which pushes them to increase their own fitness values, and (ii) the social interactions, which push individuals to reduce the diversity of their opinions in order to reach consensus. Results show that the performance of the group is strongly affected by the strength of social interactions and by the level of knowledge of the individuals. Increasing the strength of social interactions improves the performance of the team. However, too strong social interactions slow down the search of the optimal solution and worsen the performance of the group. In particular, we find that the threshold value of the social interaction strength, which leads to the emergence of a superior intelligence of the group, is just the critical threshold at which the consensus among the members sets in. We also prove that a moderate level of knowledge is already enough to guarantee high performance of the group in making decisions.

  11. Decision support for participatory wetland decision-making

    NARCIS (Netherlands)

    Goosen, H.; Janssen, R.H.H.; Vermaat, J.E.

    2007-01-01

    Decision support systems can be helpful tools in wetland planning and management. Decision support systems can contribute to efficient exchange of information between experts, stakeholders, decision makers and laypeople. However, the achievements of decision support systems are repeatedly being repo

  12. A meta-analysis of blood glucose effects on human decision making.

    Science.gov (United States)

    Orquin, Jacob L; Kurzban, Robert

    2016-05-01

    The academic and public interest in blood glucose and its relationship to decision making has been increasing over the last decade. To investigate and evaluate competing theories about this relationship, we conducted a psychometric meta-analysis on the effect of blood glucose on decision making. We identified 42 studies relating to 4 dimensions of decision making: willingness to pay, willingness to work, time discounting, and decision style. We did not find a uniform influence of blood glucose on decision making. Instead, we found that low levels of blood glucose increase the willingness to pay and willingness to work when a situation is food related, but decrease willingness to pay and work in all other situations. Low levels of blood glucose increase the future discount rate for food; that is, decision makers become more impatient, and to a lesser extent increase the future discount rate for money. Low levels of blood glucose also increase the tendency to make more intuitive rather than deliberate decisions. However, this effect was only observed in situations unrelated to food. We conclude that blood glucose has domain-specific effects, influencing decision making differently depending on the relevance of the situation to acquiring food. (PsycINFO Database Record

  13. Decision support system for monitoring environmental-human interactions.

    Science.gov (United States)

    Delavari-Edalat, Farideh; Abdi, M Reza

    2009-06-01

    The specific aim of this study is to investigate popular attitudes toward trees. The paper is involved the understanding of biophilia tendencies with respect to people's views in an urban area. Biophilia is considered as the idea insisting on the dependency of human identity on his relationship with nature. The biophilia fundamental tendencies were explored to establish a biological framework for valuing and affiliating the natural world. Accordingly, the nine tendencies i.e. utilitarian, naturalistic, ecologistic-scientific, aesthetic, symbolic, humanistic, moralistic, dominionistic, and negativistic were investigate to find out how people relate to the nature especially trees. The investigation was based on a quantitative interview which was applied to the public population in the Liverpool urban parks. Data collected from the designed questionnaire was followed by analysis of the data to identify people's attitudes towards trees. The results indicated how important the physical appeal and beauty of trees was for the people and also showed the people's emotional attachments to trees. Furthermore, a decision support model was proposed to evaluate human instincts and preferences in relation to their surrounding areas using the Analytical Hierarchical Process (AHP). The proposed model composed the environmental factors and the biophilia tendencies as the criteria of evaluating environmental-human interactions. A case study was then conducted in Liverpool parks to examine theses interactions. The data gathered was used as the input to the AHP model for the attribute analysis. The AHP model would enable environment managers to compose the relevant information via a link between human feelings about urban trees, and environmental factors for monitoring purposes and performance analysis.

  14. FileMaker Pro 9

    CERN Document Server

    Coffey, Geoff

    2007-01-01

    FileMaker Pro 9: The Missing Manual is the clear, thorough and accessible guide to the latest version of this popular desktop database program. FileMaker Pro lets you do almost anything with the information you give it. You can print corporate reports, plan your retirement, or run a small country -- if you know what you're doing. This book helps non-technical folks like you get in, get your database built, and get the results you need. Pronto.The new edition gives novices and experienced users the scoop on versions 8.5 and 9. It offers complete coverage of timesaving new features such as the Q

  15. MakerBot projects blueprints

    CERN Document Server

    Larson, Joseph

    2013-01-01

    MakerBot Projects Blueprints is a project-based book, with each chapter taking you through the creation of an awesome stand-alone project. MakerBot Project Blueprints is for anyone with an interest in the 3D printing revolution and the slightest bit of computer skills. Whether you own a 3D printer or not you can design for them. All it takes is Blender, a free 3D modeling tool, this book and a little creativity and someday you'll be able to hold something you designed in the computer in your hands.

  16. Highlights of Human Resource Development Conferences 1979.

    Science.gov (United States)

    Bunker, Barbara Benedict; And Others

    1979-01-01

    The articles focus on building interpersonal skills utilizing experiential training to socialize new employees and develop leadership. They also focus on training decision makers, performance appraisal, career development, mobilizing human resources and ego stages in organizational development. (CMG)

  17. Game theory and neural basis of social decision making.

    Science.gov (United States)

    Lee, Daeyeol

    2008-04-01

    Decision making in a social group has two distinguishing features. First, humans and other animals routinely alter their behavior in response to changes in their physical and social environment. As a result, the outcomes of decisions that depend on the behavior of multiple decision makers are difficult to predict and require highly adaptive decision-making strategies. Second, decision makers may have preferences regarding consequences to other individuals and therefore choose their actions to improve or reduce the well-being of others. Many neurobiological studies have exploited game theory to probe the neural basis of decision making and suggested that these features of social decision making might be reflected in the functions of brain areas involved in reward evaluation and reinforcement learning. Molecular genetic studies have also begun to identify genetic mechanisms for personal traits related to reinforcement learning and complex social decision making, further illuminating the biological basis of social behavior.

  18. Posterior Probability Matching and Human Perceptual Decision Making.

    Directory of Open Access Journals (Sweden)

    Richard F Murray

    2015-06-01

    Full Text Available Probability matching is a classic theory of decision making that was first developed in models of cognition. Posterior probability matching, a variant in which observers match their response probabilities to the posterior probability of each response being correct, is being used increasingly often in models of perception. However, little is known about whether posterior probability matching is consistent with the vast literature on vision and hearing that has developed within signal detection theory. Here we test posterior probability matching models using two tools from detection theory. First, we examine the models' performance in a two-pass experiment, where each block of trials is presented twice, and we measure the proportion of times that the model gives the same response twice to repeated stimuli. We show that at low performance levels, posterior probability matching models give highly inconsistent responses across repeated presentations of identical trials. We find that practised human observers are more consistent across repeated trials than these models predict, and we find some evidence that less practised observers more consistent as well. Second, we compare the performance of posterior probability matching models on a discrimination task to the performance of a theoretical ideal observer that achieves the best possible performance. We find that posterior probability matching is very inefficient at low-to-moderate performance levels, and that human observers can be more efficient than is ever possible according to posterior probability matching models. These findings support classic signal detection models, and rule out a broad class of posterior probability matching models for expert performance on perceptual tasks that range in complexity from contrast discrimination to symmetry detection. However, our findings leave open the possibility that inexperienced observers may show posterior probability matching behaviour, and our methods

  19. Posterior Probability Matching and Human Perceptual Decision Making

    Science.gov (United States)

    Murray, Richard F.; Patel, Khushbu; Yee, Alan

    2015-01-01

    Probability matching is a classic theory of decision making that was first developed in models of cognition. Posterior probability matching, a variant in which observers match their response probabilities to the posterior probability of each response being correct, is being used increasingly often in models of perception. However, little is known about whether posterior probability matching is consistent with the vast literature on vision and hearing that has developed within signal detection theory. Here we test posterior probability matching models using two tools from detection theory. First, we examine the models’ performance in a two-pass experiment, where each block of trials is presented twice, and we measure the proportion of times that the model gives the same response twice to repeated stimuli. We show that at low performance levels, posterior probability matching models give highly inconsistent responses across repeated presentations of identical trials. We find that practised human observers are more consistent across repeated trials than these models predict, and we find some evidence that less practised observers more consistent as well. Second, we compare the performance of posterior probability matching models on a discrimination task to the performance of a theoretical ideal observer that achieves the best possible performance. We find that posterior probability matching is very inefficient at low-to-moderate performance levels, and that human observers can be more efficient than is ever possible according to posterior probability matching models. These findings support classic signal detection models, and rule out a broad class of posterior probability matching models for expert performance on perceptual tasks that range in complexity from contrast discrimination to symmetry detection. However, our findings leave open the possibility that inexperienced observers may show posterior probability matching behaviour, and our methods provide new tools

  20. How Firms Make Boundary Decisions

    DEFF Research Database (Denmark)

    Dobrajska, Magdalena; Billinger, Stephan; Becker, Markus

    2014-01-01

    We report findings from an analysis of 234 firm boundary decisions that a manufacturing firm has made during a 10 year period. Extensive interviews with all major decision makers located both at the headquarters and subsidiaries allow us to examine (a) who was involved in each boundary decision......, and (b) how the firm arrived at a particular transactional choice in each decision. We find that decision makers extensively adapt decision structures in order to effectively make governance mode choices. They adapt hierarchy span, i.e. the number of hierarchical levels involved, and expertise span, i.......e. the number of same-level decision makers with dissimilar knowledge basis. We observe that decision makers heavily rely on varying hierarchy and expertise span in order to improve the quality of the decision outcome. Central to the adaption of decision structures is that decision makers, over time...

  1. A dataset of human decision-making in teamwork management

    Science.gov (United States)

    Yu, Han; Shen, Zhiqi; Miao, Chunyan; Leung, Cyril; Chen, Yiqiang; Fauvel, Simon; Lin, Jun; Cui, Lizhen; Pan, Zhengxiang; Yang, Qiang

    2017-01-01

    Today, most endeavours require teamwork by people with diverse skills and characteristics. In managing teamwork, decisions are often made under uncertainty and resource constraints. The strategies and the effectiveness of the strategies different people adopt to manage teamwork under different situations have not yet been fully explored, partially due to a lack of detailed large-scale data. In this paper, we describe a multi-faceted large-scale dataset to bridge this gap. It is derived from a game simulating complex project management processes. It presents the participants with different conditions in terms of team members' capabilities and task characteristics for them to exhibit their decision-making strategies. The dataset contains detailed data reflecting the decision situations, decision strategies, decision outcomes, and the emotional responses of 1,144 participants from diverse backgrounds. To our knowledge, this is the first dataset simultaneously covering these four facets of decision-making. With repeated measurements, the dataset may help establish baseline variability of decision-making in teamwork management, leading to more realistic decision theoretic models and more effective decision support approaches.

  2. Perspective and circumstance in making decisions:The 4D model of the world of enterprise

    OpenAIRE

    Acevedo Borrego, Adolfo Oswaldo; UNMSM

    2014-01-01

    To understand and solve business problems, the decision maker has a basic orientation to any dimensión of the organization. The 4 dimensións model is based on the perspective to understand and manipulate the business world: technical perspective that manages things and human perspective that is responsible for directing people to the task and performance, integration of both perspectives defines the basic preference of decision maker. The circumstance, that represents the problematic situatio...

  3. Enhanced decision support for policy makers using a web interface to health-economic models - Illustrated with a cost-effectiveness analysis of nation-wide infant vaccination with the 7-valent pneumococcal conjugate vaccine in the Netherlands

    NARCIS (Netherlands)

    Hubben, G.A.A.; Bos, J.M.; Glynn, D.M.; van der Ende, A.; van Alphen, L.; Postma, M.J.

    2007-01-01

    We have developed a web-based user-interface (web interface) to enhance the usefulness of health-economic evaluations to support decision making (http://pcv.healtheconomics.nl). It allows the user to interact with a health-economic model to evaluate predefined and customized scenarios and perform se

  4. Exploring Effective Decision Making through Human-Centered and Computational Intelligence Methods

    Energy Technology Data Exchange (ETDEWEB)

    Han, Kyungsik; Cook, Kristin A.; Shih, Patrick C.

    2016-06-13

    Decision-making has long been studied to understand a psychological, cognitive, and social process of selecting an effective choice from alternative options. Its studies have been extended from a personal level to a group and collaborative level, and many computer-aided decision-making systems have been developed to help people make right decisions. There has been significant research growth in computational aspects of decision-making systems, yet comparatively little effort has existed in identifying and articulating user needs and requirements in assessing system outputs and the extent to which human judgments could be utilized for making accurate and reliable decisions. Our research focus is decision-making through human-centered and computational intelligence methods in a collaborative environment, and the objectives of this position paper are to bring our research ideas to the workshop, and share and discuss ideas.

  5. Design-to-fabricate: maker hardware requires maker software.

    Science.gov (United States)

    Schmidt, Ryan; Ratto, Matt

    2013-01-01

    As a result of consumer-level 3D printers' increasing availability and affordability, the audience for 3D-design tools has grown considerably. However, current tools are ill-suited for these users. They have steep learning curves and don't take into account that the end goal is a physical object, not a digital model. A new class of "maker"-level design tools is needed to accompany this new commodity hardware. However, recent examples of such tools achieve accessibility primarily by constraining functionality. In contrast, the meshmixer project is building tools that provide accessibility and expressive power by leveraging recent computer graphics research in geometry processing. The project members have had positive experiences with several 3D-design-to-print workshops and are exploring several design-to-fabricate problems. This article is part of a special issue on 3D printing.

  6. Pengembangan Software Game Menggunakan RPG Maker VX

    OpenAIRE

    Beny

    2010-01-01

    Dalam Tugas Akhir ini dibahas mengenai perancangan game Role Playing Game (RPG) menggunakan RPG Maker VX. Software RPG Maker VX ini digunakan untuk mempermudah dalam pembuatan perangkat lunak game atau software game. Objektif utama adalah mengembangkan permainan atau game menggunakan RPG Maker VX sehingga menghasilkan perangkat lunak game atau software game yang berbasis RPG. 072406137

  7. Pengembangan Software Game Menggunakan RPG Maker VX

    OpenAIRE

    Beny

    2010-01-01

    Dalam Tugas Akhir ini dibahas mengenai perancangan game Role Playing Game (RPG) menggunakan RPG Maker VX. Software RPG Maker VX ini digunakan untuk mempermudah dalam pembuatan perangkat lunak game atau software game. Objektif utama adalah mengembangkan permainan atau game menggunakan RPG Maker VX sehingga menghasilkan perangkat lunak game atau software game yang berbasis RPG. 072406137

  8. Providing Climate Policy Makers With a Strong Scientific Base (Invited)

    Science.gov (United States)

    Struzik, E.

    2009-12-01

    Scientists can and should inform public policy decisions in the Arctic. But the pace of climate change in the polar world has been occurring far more quickly than most scientists have been able to predict. This creates problems for decision-makers who recognize that difficult management decisions have to be made in matters pertaining to wildlife management, cultural integrity and economic development. With sea ice melting, glaciers receding, permafrost thawing, forest fires intensifying, and disease and invasive species rapidly moving north, the challenge for scientists to provide climate policy makers with a strong scientific base has been daunting. Clashing as this data sometimes does with the “traditional knowledge” of indigenous peoples in the north, it can also become very political. As a result the need to effectively communicate complex data is more imperative now than ever before. Here, the author describes how the work of scientists can often be misinterpreted or exploited in ways that were not intended. Examples include the inappropriate use of scientific data in decision-making on polar bears, caribou and other wildlife populations; the use of scientific data to debunk the fact that greenhouse gases are driving climate change, and the use of scientific data to position one scientist against another when there is no inherent conflict. This work will highlight the need for climate policy makers to increase support for scientists working in the Arctic, as well as illustrate why it is important to find new and more effective ways of communicating scientific data. Strategies that might be considered by granting agencies, scientists and climate policy decision-makers will also be discussed.

  9. Multinational Parent Companies' Influence over Human Resource Decisions of Affiliates: U.S. Firms in Mexico

    OpenAIRE

    Zaida L. Martinez; David A Ricks

    1989-01-01

    This study provides empirical evidence for the relationship between the degree of influence U.S. parent companies have over the human resource decisions of their Mexican affiliates and the affiliates' resource dependencies on the parent company. Both wholly-owned and Joint venture affiliates are examined. Resource dependence was the factor most closely related to parent influence over affiliate human resource decisions. The importance of an affiliate to a parent company, the nationality of af...

  10. Gambling for Gatorade: risk-sensitive decision making for fluid rewards in humans.

    Science.gov (United States)

    Hayden, Benjamin Y; Platt, Michael L

    2009-01-01

    Determining how both humans and animals make decisions in risky situations is a central problem in economics, experimental psychology, behavioral economics, and neurobiology. Typically, humans are risk seeking for gains and risk averse for losses, while animals may display a variety of preferences under risk depending on, amongst other factors, internal state. Such differences in behavior may reflect major cognitive and cultural differences or they may reflect differences in the way risk sensitivity is probed in humans and animals. Notably, in most studies humans make one or a few choices amongst hypothetical or real monetary options, while animals make dozens of repeated choices amongst options offering primary rewards like food or drink. To address this issue, we probed risk-sensitive decision making in human participants using a paradigm modeled on animal studies, in which rewards were either small squirts of Gatorade or small amounts of real money. Possible outcomes and their probabilities were not made explicit in either case. We found that individual patterns of decision making were strikingly similar for both juice and for money, both in overall risk preferences and in trial-to-trial effects of reward outcome on choice. Comparison with decisions made by monkeys for juice in a similar task revealed highly similar gambling styles. These results unite known patterns of risk-sensitive decision making in human and nonhuman primates and suggest that factors such as the way a decision is framed or internal state may underlie observed variation in risk preferences between and within species.

  11. Human Information Processing Guidelines for Decision-Aiding Displays.

    Science.gov (United States)

    1981-12-01

    5 4. Pachella, R. G. "The Interpretation of Reaction Time in Information Processing Research." In B. Kantowitz (Ed.). Human Information Pro- cessing... Kantowitz (Ed.). Human Information Proces- sing: Tutorials in Performance and Cognition, Hillsdale, New Jersey: Lawrence Erlbaum Associates, 1974. 65...Finite Number of Inputs." In B. Kantowitz (Ed.). Human Information Processing: Tutorials in Performance and Cognition, Hillsdale, New Jersey: Lawrence

  12. Time to decide: Diurnal variations on the speed and quality of human decisions.

    Science.gov (United States)

    Leone, María Juliana; Fernandez Slezak, Diego; Golombek, Diego; Sigman, Mariano

    2017-01-01

    Human behavior and physiology exhibit diurnal fluctuations. These rhythms are entrained by light and social cues, with vast individual differences in the phase of entrainment - referred as an individual's chronotype - ranging in a continuum between early larks and late owls. Understanding whether decision-making in real-life situations depends on the relation between time of the day and an individual's diurnal preferences has both practical and theoretical implications. However, answering this question has remained elusive because of the difficulty of measuring precisely the quality of a decision in real-life scenarios. Here we investigate diurnal variations in decision-making as a function of an individual's chronotype capitalizing on a vast repository of human decisions: online chess servers. In a chess game, every player has to make around 40 decisions using a finite time budget and both the time and quality of each decision can be accurately determined. We found reliable diurnal rhythms in activity and decision-making policy. During the morning, players adopt a prevention focus policy (slower and more accurate decisions) which is later modified to a promotion focus (faster but less accurate decisions), without daily changes in performance. Copyright © 2016 Elsevier B.V. All rights reserved.

  13. Modelling risk aversion to support decision-making for controlling zoonotic livestock diseases

    NARCIS (Netherlands)

    Asseldonk, van M.A.P.M.; Bergevoet, R.H.M.; Ge, L.

    2013-01-01

    Zoonotic infectious livestock diseases are becoming a significant burden for both animal and human health and are rapidly gaining the attention of decision-makers who manage public health programmes. If control decisions have only monetary components, governments are generally regarded as being risk

  14. Improving Decision Making by Means of a Marketing Decision Support System

    OpenAIRE

    Gerrit H. van Bruggen; Ale Smidts; Berend Wierenga

    1998-01-01

    Marketing decision makers are confronted with an increasing amount of information. This leads to a complex decision environment that may cause decision makers to lapse into using mental-effort-reducing heuristics such as anchoring and adjustment. In an experimental study, we find that the use of a marketing decision support system (MDSS) increases the effectiveness of marketing decision makers. An MDSS is effective because it assists its users in identifying the important decision variables a...

  15. Decision and action planning signals in human posterior parietal cortex during delayed perceptual choices.

    Science.gov (United States)

    Tosoni, Annalisa; Corbetta, Maurizio; Calluso, Cinzia; Committeri, Giorgia; Pezzulo, Giovanni; Romani, G L; Galati, Gaspare

    2014-04-01

    During simple perceptual decisions, sensorimotor neurons in monkey fronto-parietal cortex represent a decision variable that guides the transformation of sensory evidence into a motor response, supporting the view that mechanisms for decision-making are closely embedded within sensorimotor structures. Within these structures, however, decision signals can be dissociated from motor signals, thus indicating that sensorimotor neurons can play multiple and independent roles in decision-making and action selection/planning. Here we used functional magnetic resonance imaging to examine whether response-selective human brain areas encode signals for decision-making or action planning during a task requiring an arbitrary association between face pictures (male vs. female) and specific actions (saccadic eye vs. hand pointing movements). The stimuli were gradually unmasked to stretch the time necessary for decision, thus maximising the temporal separation between decision and action planning. Decision-related signals were measured in parietal and motor/premotor regions showing a preference for the planning/execution of saccadic or pointing movements. In a parietal reach region, decision-related signals were specific for the stimulus category associated with its preferred pointing response. By contrast, a saccade-selective posterior intraparietal sulcus region carried decision-related signals even when the task required a pointing response. Consistent signals were observed in the motor/premotor cortex. Whole-brain analyses indicated that, in our task, the most reliable decision signals were found in the same neural regions involved in response selection. However, decision- and action-related signals within these regions can be dissociated. Differences between the parietal reach region and posterior intraparietal sulcus plausibly depend on their functional specificity rather than on the task structure. © 2014 Federation of European Neuroscience Societies and John Wiley & Sons

  16. Decision making uncertainty, imperfection, deliberation and scalability

    CERN Document Server

    Kárný, Miroslav; Wolpert, David

    2015-01-01

    This volume focuses on uncovering the fundamental forces underlying dynamic decision making among multiple interacting, imperfect and selfish decision makers. The chapters are written by leading experts from different disciplines, all considering the many sources of imperfection in decision making, and always with an eye to decreasing the myriad discrepancies between theory and real world human decision making. Topics addressed include uncertainty, deliberation cost and the complexity arising from the inherent large computational scale of decision making in these systems. In particular, analyses and experiments are presented which concern: • task allocation to maximize “the wisdom of the crowd”; • design of a society of “edutainment” robots who account for one anothers’ emotional states; • recognizing and counteracting seemingly non-rational human decision making; • coping with extreme scale when learning causality in networks; • efficiently incorporating expert knowledge in personalized...

  17. Dual learning processes underlying human decision-making in reversal learning tasks: Functional significance and evidence from the model fit to human behavior

    Directory of Open Access Journals (Sweden)

    Yu eBai

    2014-08-01

    Full Text Available Humans are capable of correcting their actions based on actions performed in the past, and this ability enables them to adapt to a changing environment. The computational field of reinforcement learning (RL has provided a powerful explanation for understanding such processes. Recently, the dual learning system, modeled as a hybrid model that incorporates value update based on reward-prediction error and learning rate modulation based on the surprise signal, has gained attention as a model for explaining various neural signals. However, the functional significance of the hybrid model has not been established. In the present study, we used computer simulation in a reversal learning task to address functional significance. The hybrid model was found to perform better than the standard RL model in a large parameter setting. These results suggest that the hybrid model is more robust against mistuning of parameters compared to the standard RL model when decision makers continue to learn stimulus-reward contingencies, which make an abrupt changes. The parameter fitting results also indicated that the hybrid model fit better than the standard RL model for more than 50% of the participants, which suggests that the hybrid model has more explanatory power for the behavioral data than the standard RL model.

  18. Framework for Human Health Risk Assessment to Inform Decision Making

    Science.gov (United States)

    The purpose of this document is to describe a Framework for conducting human health risk assessments that are responsive to the needs of decision‐making processes in the U.S. Environmental Protection Agency (EPA).

  19. Better decision making in complex, dynamic tasks training with human-facilitated interactive learning environments

    CERN Document Server

    Qudrat-Ullah, Hassan

    2015-01-01

    This book describes interactive learning environments (ILEs) and their underlying concepts. It explains how ILEs can be used to improve the decision-making process and how these improvements can be empirically verified. The objective of this book is to enhance our understanding of and to gain insights into the process by which human facilitated ILEs are effectively designed and used in improving users’ decision making in complex, dynamic tasks. This book is divided into four major parts. Part I serves as an introduction to the importance and complexity of decision making in dynamic tasks. Part II provides background material, drawing upon relevant literature, for the development of an integrated process model on the effectiveness of human facilitated ILEs in improving decision making in dynamic tasks. Part III focuses on the design, development, and application of FishBankILE in laboratory experiments to gather empirical evidence for the validity of the process model. Finally, part IV presents a comprehensi...

  20. Understanding The Decision Context: DPSIR, Decision Landscape, And Social Network Analysis

    Science.gov (United States)

    Establishing the decision context for a management problem is the critical first step for effective decision analysis. Understanding the decision context allow stakeholders and decision-makers to integrate the societal, environmental, and economic considerations that must be con...

  1. Temporal characteristics of the influence of punishment on perceptual decision making in the human brain

    OpenAIRE

    Blank, H.; Guido, B.; Heekeren, H.R.; Philiastides, M.G.

    2013-01-01

    Perceptual decision making is the process by which information from sensory systems is combined and used to influence our behavior. In addition to the sensory input, this process can be affected by other factors, such as reward and punishment for correct and incorrect responses. To investigate the temporal dynamics of how monetary punishment influences perceptual decision making in humans, we collected electroencephalography (EEG) data during a perceptual categorization task whereby the punis...

  2. Reasoning, learning, and creativity: frontal lobe function and human decision-making.

    Science.gov (United States)

    Collins, Anne; Koechlin, Etienne

    2012-01-01

    The frontal lobes subserve decision-making and executive control--that is, the selection and coordination of goal-directed behaviors. Current models of frontal executive function, however, do not explain human decision-making in everyday environments featuring uncertain, changing, and especially open-ended situations. Here, we propose a computational model of human executive function that clarifies this issue. Using behavioral experiments, we show that unlike others, the proposed model predicts human decisions and their variations across individuals in naturalistic situations. The model reveals that for driving action, the human frontal function monitors up to three/four concurrent behavioral strategies and infers online their ability to predict action outcomes: whenever one appears more reliable than unreliable, this strategy is chosen to guide the selection and learning of actions that maximize rewards. Otherwise, a new behavioral strategy is tentatively formed, partly from those stored in long-term memory, then probed, and if competitive confirmed to subsequently drive action. Thus, the human executive function has a monitoring capacity limited to three or four behavioral strategies. This limitation is compensated by the binary structure of executive control that in ambiguous and unknown situations promotes the exploration and creation of new behavioral strategies. The results support a model of human frontal function that integrates reasoning, learning, and creative abilities in the service of decision-making and adaptive behavior.

  3. Reasoning, learning, and creativity: frontal lobe function and human decision-making.

    Directory of Open Access Journals (Sweden)

    Anne Collins

    Full Text Available The frontal lobes subserve decision-making and executive control--that is, the selection and coordination of goal-directed behaviors. Current models of frontal executive function, however, do not explain human decision-making in everyday environments featuring uncertain, changing, and especially open-ended situations. Here, we propose a computational model of human executive function that clarifies this issue. Using behavioral experiments, we show that unlike others, the proposed model predicts human decisions and their variations across individuals in naturalistic situations. The model reveals that for driving action, the human frontal function monitors up to three/four concurrent behavioral strategies and infers online their ability to predict action outcomes: whenever one appears more reliable than unreliable, this strategy is chosen to guide the selection and learning of actions that maximize rewards. Otherwise, a new behavioral strategy is tentatively formed, partly from those stored in long-term memory, then probed, and if competitive confirmed to subsequently drive action. Thus, the human executive function has a monitoring capacity limited to three or four behavioral strategies. This limitation is compensated by the binary structure of executive control that in ambiguous and unknown situations promotes the exploration and creation of new behavioral strategies. The results support a model of human frontal function that integrates reasoning, learning, and creative abilities in the service of decision-making and adaptive behavior.

  4. Reasoning, Learning, and Creativity: Frontal Lobe Function and Human Decision-Making

    Science.gov (United States)

    Collins, Anne; Koechlin, Etienne

    2012-01-01

    The frontal lobes subserve decision-making and executive control—that is, the selection and coordination of goal-directed behaviors. Current models of frontal executive function, however, do not explain human decision-making in everyday environments featuring uncertain, changing, and especially open-ended situations. Here, we propose a computational model of human executive function that clarifies this issue. Using behavioral experiments, we show that unlike others, the proposed model predicts human decisions and their variations across individuals in naturalistic situations. The model reveals that for driving action, the human frontal function monitors up to three/four concurrent behavioral strategies and infers online their ability to predict action outcomes: whenever one appears more reliable than unreliable, this strategy is chosen to guide the selection and learning of actions that maximize rewards. Otherwise, a new behavioral strategy is tentatively formed, partly from those stored in long-term memory, then probed, and if competitive confirmed to subsequently drive action. Thus, the human executive function has a monitoring capacity limited to three or four behavioral strategies. This limitation is compensated by the binary structure of executive control that in ambiguous and unknown situations promotes the exploration and creation of new behavioral strategies. The results support a model of human frontal function that integrates reasoning, learning, and creative abilities in the service of decision-making and adaptive behavior. PMID:22479152

  5. The neural basis of belief updating and rational decision making.

    Science.gov (United States)

    Achtziger, Anja; Alós-Ferrer, Carlos; Hügelschäfer, Sabine; Steinhauser, Marco

    2014-01-01

    Rational decision making under uncertainty requires forming beliefs that integrate prior and new information through Bayes' rule. Human decision makers typically deviate from Bayesian updating by either overweighting the prior (conservatism) or overweighting new information (e.g. the representativeness heuristic). We investigated these deviations through measurements of electrocortical activity in the human brain during incentivized probability-updating tasks and found evidence of extremely early commitment to boundedly rational heuristics. Participants who overweight new information display a lower sensibility to conflict detection, captured by an event-related potential (the N2) observed around 260 ms after the presentation of new information. Conservative decision makers (who overweight prior probabilities) make up their mind before new information is presented, as indicated by the lateralized readiness potential in the brain. That is, they do not inhibit the processing of new information but rather immediately rely on the prior for making a decision.

  6. Influence of Biases in Numerical Magnitude allocation on Human Pro-Social Decision Making.

    Science.gov (United States)

    Arshad, Qadeer; Nigmatullina, Yuliya; Siddiqui, Shuaib; Franka, Mustafa; Mediratta, Saniya; Ramachandaran, Sanjeev; Lobo, Rhannon; Malhotra, Paresh; Roberts, R Edward; Bronstein, Adolfo M

    2017-09-13

    Over the past decade neuroscientific research has attempted to probe the neurobiological underpinnings of human pro-social decision-making. Such research has almost ubiquitously employed tasks such as the dictator game or similar variations (i.e. ultimatum game). Considering the explicit numerical nature of such tasks, it is surprising that the influence of numerical cognition upon decision-making during task performance remains unknown. Whilst performing these tasks, participants typically tend to anchor upon a 50:50 split that necessitates an explicit numerical judgement (i.e. number-pair bisection). Accordingly, we hypothesise that the decision-making process during the dictator game recruits overlapping cognitive processes to those known to be engaged during number-pair bisection. We observed that biases in numerical magnitude allocation correlated with the formulation of decisions during the dictator game. That is, intrinsic biases towards smaller numerical magnitudes were associated with the formulation of less favourable decisions, whereas biases towards larger magnitudes were associated with more favourable choices. We proceeded to corroborate this relationship by subliminally and systematically inducing biases in numerical magnitude towards either higher or lower numbers using a visuo-vestibular stimulation paradigm. Such subliminal alterations in numerical magnitude allocation led to proportional and corresponding changes to an individual's decision-making during the dictator game. Critically, no relationship was observed between neither intrinsic nor induced biases in numerical magnitude on decision-making when assessed using a non-numerical based pro-social questionnaire. Our findings demonstrate numerical influences upon decisions formulated during the dictator game and highlight the necessity to control for confounds associated with numerical cognition in human decision-making paradigms. Copyright © 2017, Journal of Neurophysiology.

  7. Does the market maker stabilize the market?

    NARCIS (Netherlands)

    Zhu, M.; Chiarella, C.; He, X.Z.; Wang, D.

    2009-01-01

    The market maker plays an important role in price formation, but his/her behavior and stabilizing impact on the market are relatively unclear, in particular in speculative markets. This paper develops a financial market model that examines the impact on market stability of the market maker, who acts

  8. Insight into Foreign Thoughtworlds for National Security Decision Makers

    Science.gov (United States)

    2004-01-01

    disposition, tendencies of action); cultural/historical context; memories and life experience; beliefs ( religion , ideology, worldview); motivations......and choice. Witness also the growth in popular support for euthanasia and assisted suicide. Other nations, in most of which disease and death are a

  9. Multimodel Design of Large Scale Systems with Multiple Decision Makers.

    Science.gov (United States)

    1982-08-01

    virtue. 5- , Lead me from darkneu to light. - Lead me from death to eternal Life. ( Vedic Payer) p. I, MULTIMODEL DESIGN OF LARGE SCALE SYSTEMS WITH...BFI-S2L) is stable for all e in H. To avoid mathematical complications, the feedback matrices of (2.31) are restricted to be of the form, S(e)= Fli + 0...control values used during all past sampling intervals. This information pattern, though not of ouch practical importance, is mathematically con

  10. The Roles of Decision Makers in Special Operations

    Science.gov (United States)

    2016-12-01

    appropriate. They were not trained to fly long distance at night, especially in a desert dust storm. A special operation task force should consist of fully...Hostage Crisis—which were conducted by different countries’ Special Forces , are studied in order to test the argument. Ultimately, this thesis seeks to...the Moscow Theater Hostage Crisis—which were conducted by different countries’ Special Forces , are studied in order to test the argument

  11. Top Benefits Challenges Facing School Business Decision Makers

    Science.gov (United States)

    Bohling, Joseph

    2012-01-01

    What's the main factor coloring employee satisfaction? Many organizations' leaders think the answer is salary, yet in reality, employee benefits packages are one of the biggest incentives an employer can offer. Educational institutions have done well in providing benefits to employees. However, with an unpredictable economic climate and a complex…

  12. Developing Tomorrow's Decision-Makers: Opportunities for Biotechnology Education Research

    Science.gov (United States)

    Hilton, Annette; Nichols, Kim; Kanasa, Harry

    2011-01-01

    Globally, science curricula have been described as outdated, and students perceive school science as lacking in relevance. Declines in senior secondary and tertiary student participation in science indicate an urgent need for change if we are to sustain future scientific research and development, and perhaps more importantly, to equip students…

  13. Crossing disciplines to increase effective decision maker-scientist interactions

    Science.gov (United States)

    Morelli, T. L.

    2015-12-01

    Despite increasing knowledge of how climate will continue to change, there remain substantial challenges in determining what actions to take to curb the anticipated loss of biodiversity. Scientists sometimes struggle to speak across disciplines, and managers are often treated as a repository of information rather than a partner in the scientific process. However, through integrative study and collaboration, resource managers can collaborate with physical and biological scientists to translate the latest science into strategies that conserve species in spite of climate change uncertainty. We highlight case studies of how scientists and managers are working together to manage forest ecosystems, songbirds, and cold-adapted fish species in the face of climate change. This work is a collaboration of postdoctoral researchers and graduate students funded through the Department of Interior Northeast Climate Science Center.

  14. Toolkit for local decision makers aims to strengthen environmental sustainability

    CSIR Research Space (South Africa)

    Murambadoro, M

    2011-11-01

    Full Text Available Members of the South African Risk and Vulnerability Atlas were involved in a meeting aimed at the development of a toolkit towards improved integration of climate change into local government's integrated development planning (IDP) process....

  15. Personal experience and reputation interact in human decisions to help reciprocally.

    Science.gov (United States)

    Molleman, Lucas; van den Broek, Eva; Egas, Martijn

    2013-04-22

    There is ample evidence that human cooperative behaviour towards other individuals is often conditioned on information about previous interactions. This information derives both from personal experience (direct reciprocity) and from experience of others (i.e. reputation; indirect reciprocity). Direct and indirect reciprocity have been studied separately, but humans often have access to both types of information. Here, we experimentally investigate information use in a repeated helping game. When acting as donor, subjects can condition their decisions to help recipients with both types of information at a small cost to access such information. We find that information from direct interactions weighs more heavily in decisions to help, and participants tend to react less forgivingly to negative personal experience than to negative reputation. Moreover, effects of personal experience and reputation interact in decisions to help. If a recipient's reputation is positive, the personal experience of the donor has a weak effect on the decision to help, and vice versa. Yet if the two types of information indicate conflicting signatures of helpfulness, most decisions to help follow personal experience. To understand the roles of direct and indirect reciprocity in human cooperation, they should be studied in concert, not in isolation.

  16. 公共部门温室气体排放清单协议—已有工作及其对我国城市规划师、决策者的启示%GHG Emission Inventory Protocol for the Local Public Sector: Existing Work and Its Implications for Chinese Urban Planners and Decision-makers

    Institute of Scientific and Technical Information of China (English)

    周江评; 严升宪; 易晓峰

    2011-01-01

    我国政府尽管对总体环境治理、各生产部门的温室气体排放控制、可再生能源等工作高度重视,但对公共部门活动本身所带来的温室气体排放、节能减碳等工作还没有作为单独的子项进行决策或采取行动.本文研究了我国开展公共部门温室气体排放清单协议工作的必要性以及国际经验对我国城市规划师、公共决策者的启示.%Chinese government has attached great importance to overall environment improvements, control over the GHG emissions by production sectors, renewable energy, etc. But there are few separate policies or actions on energy saving and carbon reduction and GHG emissions inventory in the public sector. This paper examines the needs for China to compile the GHG inventory for the public sector and implications from the international experience for Chinese urban planners and decision-makers.

  17. A conceptual and computational model of moral decision making in human and artificial agents.

    Science.gov (United States)

    Wallach, Wendell; Franklin, Stan; Allen, Colin

    2010-07-01

    Recently, there has been a resurgence of interest in general, comprehensive models of human cognition. Such models aim to explain higher-order cognitive faculties, such as deliberation and planning. Given a computational representation, the validity of these models can be tested in computer simulations such as software agents or embodied robots. The push to implement computational models of this kind has created the field of artificial general intelligence (AGI). Moral decision making is arguably one of the most challenging tasks for computational approaches to higher-order cognition. The need for increasingly autonomous artificial agents to factor moral considerations into their choices and actions has given rise to another new field of inquiry variously known as Machine Morality, Machine Ethics, Roboethics, or Friendly AI. In this study, we discuss how LIDA, an AGI model of human cognition, can be adapted to model both affective and rational features of moral decision making. Using the LIDA model, we will demonstrate how moral decisions can be made in many domains using the same mechanisms that enable general decision making. Comprehensive models of human cognition typically aim for compatibility with recent research in the cognitive and neural sciences. Global workspace theory, proposed by the neuropsychologist Bernard Baars (1988), is a highly regarded model of human cognition that is currently being computationally instantiated in several software implementations. LIDA (Franklin, Baars, Ramamurthy, & Ventura, 2005) is one such computational implementation. LIDA is both a set of computational tools and an underlying model of human cognition, which provides mechanisms that are capable of explaining how an agent's selection of its next action arises from bottom-up collection of sensory data and top-down processes for making sense of its current situation. We will describe how the LIDA model helps integrate emotions into the human decision-making process, and we

  18. Decision Making in Action

    Science.gov (United States)

    Orasanu, Judith; Statler, Irving C. (Technical Monitor)

    1994-01-01

    The importance of decision-making to safety in complex, dynamic environments like mission control centers and offshore installations has been well established. NASA-ARC has a program of research dedicated to fostering safe and effective decision-making in the manned spaceflight environment. Because access to spaceflight is limited, environments with similar characteristics, including aviation and nuclear power plants, serve as analogs from which space-relevant data can be gathered and theories developed. Analyses of aviation accidents cite crew judgement and decision making as causes or contributing factors in over half of all accidents. A similar observation has been made in nuclear power plants. Yet laboratory research on decision making has not proven especially helpful in improving the quality of decisions in these kinds of environments. One reason is that the traditional, analytic decision models are inappropriate to multidimensional, high-risk environments, and do not accurately describe what expert human decision makers do when they make decisions that have consequences. A new model of dynamic, naturalistic decision making is offered that may prove useful for improving decision making in complex, isolated, confined and high-risk environments. Based on analyses of crew performance in full-mission simulators and accident reports, features that define effective decision strategies in abnormal or emergency situations have been identified. These include accurate situation assessment (including time and risk assessment), appreciation of the complexity of the problem, sensitivity to constraints on the decision, timeliness of the response, and use of adequate information. More effective crews also manage their workload to provide themselves with time and resources to make good decisions. In brief, good decisions are appropriate to the demands of the situation. Effective crew decision making and overall performance are mediated by crew communication. Communication

  19. Structured decision making: Chapter 5

    Science.gov (United States)

    Runge, Michael C.; Grand, James B.; Mitchell, Michael S.; Krausman, Paul R.; Cain, James W. III

    2013-01-01

    Wildlife management is a decision-focused discipline. It needs to integrate traditional wildlife science and social science to identify actions that are most likely to achieve the array of desires society has surrounding wildlife populations. Decision science, a vast field with roots in economics, operations research, and psychology, offers a rich set of tools to help wildlife managers frame, decompose, analyze, and synthesize their decisions. The nature of wildlife management as a decision science has been recognized since the inception of the field, but formal methods of decision analysis have been underused. There is tremendous potential for wildlife management to grow further through the use of formal decision analysis. First, the wildlife science and human dimensions of wildlife disciplines can be readily integrated. Second, decisions can become more efficient. Third, decisions makers can communicate more clearly with stakeholders and the public. Fourth, good, intuitive wildlife managers, by explicitly examining how they make decisions, can translate their art into a science that is readily used by the next generation.

  20. The roles of dopamine and serotonin in decision making: evidence from pharmacological experiments in humans.

    Science.gov (United States)

    Rogers, Robert D

    2011-01-01

    Neurophysiological experiments in primates, alongside neuropsychological and functional magnetic resonance investigations in humans, have significantly enhanced our understanding of the neural architecture of decision making. In this review, I consider the more limited database of experiments that have investigated how dopamine and serotonin activity influences the choices of human adults. These include those experiments that have involved the administration of drugs to healthy controls, experiments that have tested genotypic influences upon dopamine and serotonin function, and, finally, some of those experiments that have examined the effects of drugs on the decision making of clinical samples. Pharmacological experiments in humans are few in number and face considerable methodological challenges in terms of drug specificity, uncertainties about pre- vs post-synaptic modes of action, and interactions with baseline cognitive performance. However, the available data are broadly consistent with current computational models of dopamine function in decision making and highlight the dissociable roles of dopamine receptor systems in the learning about outcomes that underpins value-based decision making. Moreover, genotypic influences on (interacting) prefrontal and striatal dopamine activity are associated with changes in choice behavior that might be relevant to understanding exploratory behaviors and vulnerability to addictive disorders. Manipulations of serotonin in laboratory tests of decision making in human participants have provided less consistent results, but the information gathered to date indicates a role for serotonin in learning about bad decision outcomes, non-normative aspects of risk-seeking behavior, and social choices involving affiliation and notions of fairness. Finally, I suggest that the role played by serotonin in the regulation of cognitive biases, and representation of context in learning, point toward a role in the cortically mediated cognitive

  1. Educational Pluralism and Freedom of Religion: Recent Decisions of the European Court of Human Rights

    Science.gov (United States)

    Relano, Eugenia

    2010-01-01

    This paper addresses the sensitive issue of the teaching of religions and beliefs in schools by analysing two recent decisions of the European Court of Human Rights. In these cases, the Court asserts that students should be exempted from compulsory courses on religion or from courses that are not conveyed in an objective, critical and pluralist…

  2. Educational Pluralism and Freedom of Religion: Recent Decisions of the European Court of Human Rights

    Science.gov (United States)

    Relano, Eugenia

    2010-01-01

    This paper addresses the sensitive issue of the teaching of religions and beliefs in schools by analysing two recent decisions of the European Court of Human Rights. In these cases, the Court asserts that students should be exempted from compulsory courses on religion or from courses that are not conveyed in an objective, critical and pluralist…

  3. Computer-Aided Decisions in Human Services: Expert Systems and Multivariate Models.

    Science.gov (United States)

    Sicoly, Fiore

    1989-01-01

    This comparison of two approaches to the development of computerized supports for decision making--expert systems and multivariate models--focuses on computerized systems that assist professionals with tasks related to diagnosis or classification in human services. Validation of both expert systems and statistical models is emphasized. (39…

  4. Human Rights and Decision-Making in Child Protection through Explicit Argumentation

    Science.gov (United States)

    Duffy, Joe; Taylor, Brian; Mc Call, Susannah

    2006-01-01

    A recent judgement in February 2005 by the Lord Chief Justice in Northern Ireland that a Health and Social Services Trust had breached a parent's Article 8 Right to Family Life in the process used to take a young child into care has stimulated major debate about the interface between the Human Rights Act (1998) and professional decision-making in…

  5. Performance of human groups in social foraging: the role of communication in consensus decision making.

    Science.gov (United States)

    King, Andrew J; Narraway, Claire; Hodgson, Lindsay; Weatherill, Aidan; Sommer, Volker; Sumner, Seirian

    2011-04-23

    Early hominids searched for dispersed food sources in a patchy, uncertain environment, and modern humans encounter equivalent spatial-temporal coordination problems on a daily basis. A fundamental, but untested assumption is that our evolved capacity for communication is integral to our success in such tasks, allowing information exchange and consensus decisions based on mutual consideration of pooled information. Here we examine whether communication enhances group performance in humans, and test the prediction that consensus decision-making underlies group success. We used bespoke radio-tagging methodology to monitor the incremental performance of communicating and non-communicating human groups (small group sizes of two to seven individuals), during a social foraging experiment. We found that communicating groups (n = 22) foraged more effectively than non-communicating groups (n = 21) and were able to reach consensus decisions (an 'agreement' on the most profitable foraging resource) significantly more often than non-communicating groups. Our data additionally suggest that gesticulations among group members played a vital role in the achievement of consensus decisions, and therefore highlight the importance of non-verbal signalling of intentions and desires for successful human cooperative behaviour.

  6. Does social capital affect investment in human capital? Family ties and schooling decisions

    NARCIS (Netherlands)

    Di Falco, Salvatore; Bulte, E.H.

    2015-01-01

    We analyse whether traditional sharing norms within kinship networks affect education decisions of poor black households in KwaZulu-Natal. Theory predicts that the size of the kinship network ambiguously impacts on the incentive to invest in human capital (due to opposing ‘empathy’ and ‘free-rider’

  7. Does social capital affect investment in human capital? Family ties and schooling decisions

    NARCIS (Netherlands)

    Falco, Di Salvatore; Bulte, Erwin

    2015-01-01

    We analyse whether traditional sharing norms within kinship networks affect education decisions of poor black households in KwaZulu-Natal. Theory predicts that the size of the kinship network ambiguously impacts on the incentive to invest in human capital (due to opposing ‘empathy’ and ‘free-ride

  8. Thermodynamic analysis of a solar coffee maker

    Energy Technology Data Exchange (ETDEWEB)

    Sosa-Montemayor, F.; Jaramillo, O.A. [Centro de Investigacion en Energia, Universidad Nacional Autonoma de Mexico, Privada Xochicalco S/N, Temixco, Morelos CP 62580 (Mexico); del Rio, J.A. [Centro Morelense de Innovacion y Tranferencia Tecnologica, CCyTEM, Camino Temixco a Emiliano Zapata, Km 0.3, Colonia Emiliano Zapata, Morelos CP 62760 (Mexico)

    2009-09-15

    In this paper we present a novel solar concentrating application, a coffee brewing system using a satellite TV mini-Dish concentrator coupled to a stovetop espresso coffee maker. We present a theoretical model for the thermal behavior of the water in the lower chamber of the coffee maker. We validate the model obtaining good agreement with the experimental results. Our findings indicate that the coffee brewing system works, it takes 30-50 min to complete its task. The model and our practical experience encourage us to improve the concentration device in order to obtain a useful solar coffee maker, using the theoretical model as a safe guide to achieve this. (author)

  9. The importance of imagination (or lack thereof) in artificial, human and quantum decision making.

    Science.gov (United States)

    Gustafson, Karl

    2016-01-13

    Enlarging upon experiments and analysis that I did jointly some years ago, in which artificial (symbolic, neural-net and pattern) learning and generalization were compared with that of humans, I will emphasize the role of imagination (or lack thereof) in artificial, human and quantum cognition and decision-making processes. Then I will look in more detail at some of the 'engineering details' of its implementation (or lack thereof) in each of these settings. In other words, the question posed is: What is actually happening? For example, we previously found that humans overwhelmingly seek, create or imagine context in order to provide meaning when presented with abstract, apparently incomplete, contradictory or otherwise untenable decision-making situations. Humans are intolerant of contradiction and will greatly simplify to avoid it. They can partially correlate but do not average. Human learning is not Boolean. These and other human reasoning properties will then be taken to critique how well artificial intelligence methods and quantum mechanical modelling might compete with them in decision-making tasks within psychology and economics.

  10. Development of Copeland Score Methods for Determine Group Decisions

    Directory of Open Access Journals (Sweden)

    Ermatita

    2013-07-01

    Full Text Available Voting method requires to determine group decision of decision by each decision maker in group. Determination of decisions by group of decision maker requires voting methods. Copeland score is one of voting method that has been developed by previous researchers. This method does not accommodate the weight of the expertise and interests of each decision maker. This paper proposed the voting method using Copeland score with added weighting. The method has developed of considering the weight of the expertise and interests of the decision maker. The method accordance with the problems encountered of group decision making . Expertise and interests of decision makers are given weight based on their expertises of decision maker contribution of the problems faced by the group to determine the decision.

  11. The Role of Intuition in Risk/Benefit Decision-Making in Human Subjects Research.

    Science.gov (United States)

    Resnik, David B

    2017-01-01

    One of the key principles of ethical research involving human subjects is that the risks of research to should be acceptable in relation to expected benefits. Institutional review board (IRB) members often rely on intuition to make risk/benefit decisions concerning proposed human studies. Some have objected to using intuition to make these decisions because intuition is unreliable and biased and lacks transparency. In this article, I examine the role of intuition in IRB risk/benefit decision-making and argue that there are practical and philosophical limits to our ability to reduce our reliance on intuition in this process. The fact that IRB risk/benefit decision-making involves intuition need not imply that it is hopelessly subjective or biased, however, since there are strategies that IRBs can employ to improve their decisions, such as using empirical data to estimate the probability of potential harms and benefits, developing classification systems to guide the evaluation of harms and benefits, and engaging in moral reasoning concerning the acceptability of risks.

  12. FileMaker 85 Integrating the Web

    CERN Document Server

    Prosser, Susan

    2006-01-01

    FileMaker Pro, famed for power and ease of use, has added a suite of new features that can seriously boost your database productivity. This tutorial helps you take full advantage of the fresh stuff. It focuses on FileMaker's terrific new tool for integrating the Web with your databases: the Web Viewer. Step-by-step instructions help you create a Web Viewer from one of FileMaker's templates or a totally custom version of your own. But the tutorial doesn't stop there. It goes on to cover Object Naming, including FileMaker's rules for Object Names and how to use them in scripts; new scripts; ne

  13. The neural processes underlying perceptual decision making in humans: recent progress and future directions.

    Science.gov (United States)

    Kelly, Simon P; O'Connell, Redmond G

    2015-01-01

    In the last two decades, animal neurophysiology research has made great strides towards explaining how the brain can enable adaptive action in the face of noisy sensory information. In particular, this work has identified neural signals that perform the role of a 'decision variable' which integrates sensory information in favor of a particular outcome up to an action-triggering threshold, consistent with long-standing predictions from mathematical psychology. This has provoked an intensive search for similar neural processes at work in the human brain. In this paper we review the progress that has been made in tracing the dynamics of perceptual decision formation in humans using functional imaging and electrophysiology. We highlight some of the limitations that non-invasive recording techniques place on our ability to make definitive judgments regarding the role that specific signals play in decision making. Finally, we provide an overview of our own work in this area which has focussed on two perceptual tasks - intensity change detection and motion discrimination - performed under continuous-monitoring conditions, and highlight the insights gained thus far. We show that through simple paradigm design features such as avoiding sudden intensity transients at evidence onset, a neural instantiation of the theoretical decision variable can be directly traced in the form of a centro-parietal positivity (CPP) in the standard event-related potential (ERP). We recapitulate evidence for the domain-general nature of the CPP process, being divorced from the sensory and motor requirements of the task, and re-plot data of both tasks highlighting this aspect as well as its relationship to decision outcome and reaction time. We discuss the implications of these findings for mechanistically principled research on normal and abnormal decision making in humans.

  14. DECISIONS, METHODS AND TECHNIQUES RELATED TO DECISION SUPPORT SYSTEMS (DSS

    Directory of Open Access Journals (Sweden)

    Boghean Florin

    2015-07-01

    Full Text Available Generalised uncertainty, a phenomenon that today’s managers are facing as part of their professional experience, makes it impossible to anticipate the way the business environment will evolve or what will be the consequences of the decisions they plan to implement. Any decision making process within the company entails the simultaneous presence of a number of economic, technical, juridical, human and managerial variables. The development and the approval of a decision is the result of decision making activities developed by the decision maker and sometimes by a decision support team or/and a decision support system (DSS. These aspects related to specific applications of decision support systems in risk management will be approached in this research paper. Decisions in general and management decisions in particular are associated with numerous risks, due to their complexity and increasing contextual orientation. In each business entity, there are concerns with the implementation of risk management in order to improve the likelihood of meeting objectives, the trust of the parties involved, increase the operational safety and security as well as the protection of the environment, minimise losses, improve organisational resilience in order to diminish the negative impact on the organisation and provide a solid foundation for decision making. Since any business entity is considered to be a wealth generator, the analysis of their performance should not be restricted to financial efficiency alone, but will also encompass their economic efficiency as well. The type of research developed in this paper entails different dimensions: conceptual, methodological, as well as empirical testing. Subsequently, the conducted research entails a methodological side, since the conducted activities have resulted in the presentation of a simulation model that is useful in decision making processes on the capital market. The research conducted in the present paper

  15. Impact of Climate Change: Views and Perceptions of Policy Makers on Smallholder Agriculture in Ghana

    Directory of Open Access Journals (Sweden)

    Emmanuel Tetteh

    2014-05-01

    Full Text Available The threat of global climate change has caused intense debate among policy makers as agricultural productivity and food security risks considerable decline due to changes in rainfallpatterns and temperature. Although the impact of climate change on crop yields vary greatly from region to region, smallholder farmers in developing countries who depend solely on rain-fed agriculture are among the most disadvantaged and vulnerable groups. While the successes in agricultural production in Africa and Ghana over the last decades are heralded, the inequitable distribution of benefits and unsustainable impacts on natural resources are becoming more evident. Many authors have blamed global warming and climate change on the emission of greenhouse gasses however, farming methods and other human activities are also to blame for the emerging change in the climate. Therefore, bringing farming practices and ecosystem services into decision-making in order to make full use of the potential gains from working with the natural environment and the underpinning biophysical processes is imperative. This paper assesses the views and perceptions of Ghanaian policy makers on the impact of climate change on smallholder agricultural productivity in order to sustain agricultural productivity in Ghana. The study used data from a case study conducted by the Environment Policy Action Node Project with sponsorship from the Alliance for a Green Revolution in Africa (AGRA in Ghana between 2012 and 2013. An interview guide was used to collect qualitatively data from 35 key policy making institutions/organization in Ghana. One important finding of the paper is that even though Ghana has a climate change policy, most of the policy makers were not aware of the policy document and its contents. The paper however argues that to improve smallholder agricultural productivity in Ghana, a national debate on climate change mitigation and adaptation policies are needed to ensure coherence

  16. Do the right thing: the assumption of optimality in lay decision theory and causal judgment.

    Science.gov (United States)

    Johnson, Samuel G B; Rips, Lance J

    2015-03-01

    Human decision-making is often characterized as irrational and suboptimal. Here we ask whether people nonetheless assume optimal choices from other decision-makers: Are people intuitive classical economists? In seven experiments, we show that an agent's perceived optimality in choice affects attributions of responsibility and causation for the outcomes of their actions. We use this paradigm to examine several issues in lay decision theory, including how responsibility judgments depend on the efficacy of the agent's actual and counterfactual choices (Experiments 1-3), individual differences in responsibility assignment strategies (Experiment 4), and how people conceptualize decisions involving trade-offs among multiple goals (Experiments 5-6). We also find similar results using everyday decision problems (Experiment 7). Taken together, these experiments show that attributions of responsibility depend not only on what decision-makers do, but also on the quality of the options they choose not to take.

  17. Decision Theory and the Governance of Technology.

    Science.gov (United States)

    Woodhouse, Edward J.

    1987-01-01

    Provides an overview of the decision making process for science and technology. Finds that government agencies and officials are not the major decision makers. Examines obstacles to achieving intelligent decisions when policy makers are scientists, business executives, and consumers. Concludes with five strategies for improving technological…

  18. Decision Theory and the Governance of Technology.

    Science.gov (United States)

    Woodhouse, Edward J.

    1987-01-01

    Provides an overview of the decision making process for science and technology. Finds that government agencies and officials are not the major decision makers. Examines obstacles to achieving intelligent decisions when policy makers are scientists, business executives, and consumers. Concludes with five strategies for improving technological…

  19. Cortical Network Dynamics of Perceptual Decision-Making in the Human Brain

    Directory of Open Access Journals (Sweden)

    Markus eSiegel

    2011-02-01

    Full Text Available Goal-directed behavior requires the flexible transformation of sensory evidence about our environment into motor actions. Studies of perceptual decision-making have shown that this transformation is distributed across several widely separated brain regions. Yet, little is known about how decision-making emerges from the dynamic interactions among these regions. Here, we review a series of studies, in which we characterized the cortical network interactions underlying a perceptual decision process in the human brain. We used magnetoencephalography (MEG to measure the large-scale cortical population dynamics underlying each of the sub-processes involved in this decision: the encoding of sensory evidence and action plan, the mapping between the two, and the attentional selection of task-relevant evidence. We found that these sub-processes are mediated by neuronal oscillations within specific frequency ranges. Localized gamma-band oscillations in sensory and motor cortices reflect the encoding of the sensory evidence and motor plan. Large-scale oscillations across widespread cortical networks mediate the integrative processes connecting these local networks: Gamma- and beta-band oscillations across frontal, parietal and sensory cortices serve the selection of relevant sensory evidence and its flexible mapping onto action plans. In sum, our results suggest that perceptual decisions are mediated by oscillatory interactions within overlapping local and large-scale cortical networks.

  20. MoCog1: A computer simulation of recognition-primed human decision making, considering emotions

    Science.gov (United States)

    Gevarter, William B.

    1992-01-01

    The successful results of the first stage of a research effort to develop a versatile computer model of motivated human cognitive behavior are reported. Most human decision making appears to be an experience-based, relatively straightforward, largely automatic response to situations, utilizing cues and opportunities perceived from the current environment. The development, considering emotions, of the architecture and computer program associated with such 'recognition-primed' decision-making is described. The resultant computer program (MoCog1) was successfully utilized as a vehicle to simulate earlier findings that relate how an individual's implicit theories orient the individual toward particular goals, with resultant cognitions, affects, and behavior in response to their environment.

  1. Human Factors Effecting Forensic Decision Making: Workplace Stress and Well-being.

    Science.gov (United States)

    Jeanguenat, Amy M; Dror, Itiel E

    2017-05-02

    Over the past decade, there has been a growing openness about the importance of human factors in forensic work. However, most of it focused on cognitive bias, and neglected issues of workplace wellness and stress. Forensic scientists work in a dynamic environment that includes common workplace pressures such as workload volume, tight deadlines, lack of advancement, number of working hours, low salary, technology distractions, and fluctuating priorities. However, in addition, forensic scientists also encounter a number of industry-specific pressures, such as technique criticism, repeated exposure to crime scenes or horrific case details, access to funding, working in an adversarial legal system, and zero tolerance for "errors". Thus, stress is an important human factor to mitigate for overall error management, productivity and decision quality (not to mention the well-being of the examiners themselves). Techniques such as mindfulness can become powerful tools to enhance work and decision quality. © 2017 American Academy of Forensic Sciences.

  2. The Value of Human Capital Signals for Investment Decision Making under Uncertainty

    DEFF Research Database (Denmark)

    Hain, Daniel; Christensen, Jesper Lindgaard; Jurowetzki, Roman

    In this paper, we analyze the interaction between human capital signals of entrepreneurial founding teams with the contextual experience of potential investors, aiming to explain investment decision making. We use the case of cross-border venture capital (VC) investments in volatile and uncertain...... experience, investors improve their heuristics and develop more sophisticated and contextual decision making procedures. Previous research in the context of VC investments particularly points at human capital signals of the founding team as an important criteria considered by venture capitalists. Among those...... their less experienced peers. We do so by contrasting cross-border VC investments by the same investors in a selection of sub-Saharan African countries with their investments in European economies. Using a propensity score matching procedure, we match every observed investor-company investment pair...

  3. Religion and Spirituality in Surrogate Decision Making for Hospitalized Older Adults.

    Science.gov (United States)

    Geros-Willfond, Kristin N; Ivy, Steven S; Montz, Kianna; Bohan, Sara E; Torke, Alexia M

    2016-06-01

    We conducted semi-structured interviews with 46 surrogate decision makers for hospitalized older adults to characterize the role of spirituality and religion in decision making. Three themes emerged: (1) religion as a guide to decision making, (2) control, and (3) faith, death and dying. For religious surrogates, religion played a central role in end of life decisions. There was variability regarding whether God or humans were perceived to be in control; however, beliefs about control led to varying perspectives on acceptance of comfort-focused treatment. We conclude that clinicians should attend to religious considerations due to their impact on decision making.

  4. MEDICAL AND LEGAL ISSUES OF THE DECISIONS RENDERED BY THE EUROPEAN COURT OF HUMAN RIGHTS.

    Science.gov (United States)

    Chakhvadze, B; Chakhvadze, G

    2017-01-01

    The European Convention on Human rights is a document that protects human rights and fundamental freedoms of individuals, and the European Court of Human Rights and its case-law makes a convention a powerful instrument to meet the new challenges of modernity and protect the principles of rule of law and democracy. This is important, particularly for young democracies, including Georgia. The more that Georgia is a party to this convention. Article 3 of the convention deals with torture, inhuman and degrading treatment, while article 8 deals with private life, home and correspondence. At the same time, the international practice of the European court of human rights shows that these articles are often used with regard to medical rights. The paper highlights the most recent and interesting cases from the case-law of the ECHR, in which the courts conclusions are based solely on the European Convention on Human Rights. In most instances, the European Court of Human Rights uses the principle of democracy with regard to medical rights. The European court of human rights considers medical rights as moral underpinning rights. Particularly in every occasion, the European Court of Human Rights acknowledges an ethical dimension of these rights. In most instances, it does not matter whether a plaintiff is a free person or prisoner, the European court of human rights make decisions based on fundamental human rights and freedoms of individuals.

  5. The Power of Religious Organizations in Human Decision Processes: Analyzing Voting Behavior

    OpenAIRE

    Stadelmann, David; Portmann, Marco; TORGLER, Benno

    2013-01-01

    In Switzerland, two key church institutions - the Conference of Swiss Bishops (CSB) and the Federation of Protestant Churches (FPC) - make public recommendations on how to vote for certain referenda. We leverage this unique situation to directly measure religious organizations' power to shape human decision making. We employ an objective measure of voters' commitment to their religious organization to determine whether they are more likely to vote in line with this organization's recommendati...

  6. A decision model for the sustainable protection of human rights in Italian Prison System

    Directory of Open Access Journals (Sweden)

    Antonio Maturo

    2014-12-01

    Full Text Available The work starts from an analysis of the critical problems of the prison system in Italy. It aims to develop a decision-making model to address the issue of sustainable protection of human rights in prisons. It shows how, using the Saaty AHP procedure, it is possible to have an analytical reasoning guideline for the understanding of the validity of the various alternative choices, in order to facilitate the situation of the prisoners and their reintegration into society.

  7. Overview 2010 of ARL Program on Network Science for Human Decision Making

    Science.gov (United States)

    2011-01-01

    IN FRACTAL PHYSIOLOGY       OVERVIEW 2010 OF ARL PROGRAM ON NETWORK SCIENCE FOR HUMAN DECISION MAKING   Bruce J West Journal Name: Frontiers in...2:76. doi:10.3389/fphys.2011.00076 Article URL: http://www.frontiersin.org/Journal/Abstract.aspx?s=454& name= fractal %20physiology&ART_DOI=10.3389...functions: transportation, electrical power, food distribution, finance , and health care to name a few. The 1 2 interoperability of these networks

  8. An Integrated Model for Optimization Oriented Decision Aiding and Rule Based Decision Making in Fuzzy Environment

    OpenAIRE

    A. Yousefli; M. Ghazanfari; M. B. Abiri

    2014-01-01

    In this paper a fuzzy decision aid system is developed base on new concepts that presented in the field of fuzzy decision making in fuzzy environment (FDMFE). This framework aids decision makers to understand different circumstances of an uncertain problem that may occur in the future. Also, to keep decision maker from the optimization problem complexities, a decision support system, which can be replaced by optimization problem, is presented to make optimum or near optimum decisions without ...

  9. Overview 2010 of ARL Program on Network Science for Human Decision Making.

    Science.gov (United States)

    West, Bruce J

    2011-01-01

    The Army Research Laboratory program on the Network Science of Human Decision Making brings together researchers from a variety of disciplines to work on a complex research problem that defies confinement within any single discipline. Consequently, new and rewarding solutions have been obtained for a problem of importance to society and the Army, that being, the human dimension of complex networks. This program investigates the basic research foundation of a science of networks supporting the linkage between the cognitive and social domains as they relate to human decision making. The research strategy extends recent methods of non-equilibrium statistical physics to non-stationary, renewal stochastic processes characteristic of the interactions among nodes in complex networks. The theoretical analyses of complex networks, although mathematically rigorous, often elude analytic solutions and require simulation and computation to analyze the underlying dynamic process. The information transfer between two complex networks is calculated using the principle of complexity management as well as direct numerical calculation of the decision making model developed within the project.

  10. OVERVIEW 2010 OF ARL PROGRAM ON NETWORK SCIENCE FOR HUMAN DECISION MAKING

    Directory of Open Access Journals (Sweden)

    Bruce J West

    2011-11-01

    Full Text Available The Army Research Laboratory program on the Network Science of Human Decision Making brings together researchers from a variety of disciplines to work on a complex research problem that defies confinement within any single discipline. Consequently, new and rewarding solutions have been obtained for a problem of importance to society and the Army, that being, the human dimension of complex networks. This program investigates the basic research foundation of a science of networks supporting the linkage between the cognitive and social domains as they relate to human decision making. The research strategy extends recent methods of non-equilibrium statistical physics to non-stationary, renewal stochastic processes characteristic of the interactions among nodes in complex networks. The theoretical analyses of complex networks, although mathematically rigorous, often elude analytic solutions and require simulation and computation to analyze the underlying dynamic process. The information transfer between two complex networks is calculated using the Principle of Complexity Management (PCM as well as direct numerical calculation of the decision making model (DMM developed within the project.

  11. Fuzzy-like multiple objective multistage decision making

    CERN Document Server

    Xu, Jiuping

    2014-01-01

    Decision has inspired reflection of many thinkers since the ancient times. With the rapid development of science and society, appropriate dynamic decision making has been playing an increasingly important role in many areas of human activity including engineering, management, economy and others. In most real-world problems, decision makers usually have to make decisions sequentially at different points in time and space, at different levels for a component or a system, while facing multiple and conflicting objectives and a hybrid uncertain environment where fuzziness and randomness co-exist in a decision making process. This leads to the development of fuzzy-like multiple objective multistage decision making. This book provides a thorough understanding of the concepts of dynamic optimization from a modern perspective and presents the state-of-the-art methodology for modeling, analyzing and solving the most typical multiple objective multistage decision making practical application problems under fuzzy-like un...

  12. Parent-son decision-making about human papillomavirus vaccination: a qualitative analysis

    Directory of Open Access Journals (Sweden)

    Alexander Andreia B

    2012-12-01

    Full Text Available Abstract Background Licensed for use in males in 2009, Human Papillomavirus (HPV vaccination rates in adolescent males are extremely low. Literature on HPV vaccination focuses on females, adult males, or parents of adolescent males, without including adolescent males or the dynamics of the parent-son interaction that may influence vaccine decision-making. The purpose of this paper is to examine the decision-making process of parent-son dyads when deciding whether or not to get vaccinated against HPV. Methods Twenty-one adolescent males (ages 13–17, with no previous HPV vaccination, and their parents/guardians were recruited from adolescent primary care clinics serving low to middle income families in a large Midwestern city. Dyad members participated in separate semi-structured interviews assessing the relative role of the parent and son in the decision regarding HPV vaccination. Interviews were recorded, transcribed, and coded using inductive content analysis. Results Parents and sons focused on protection as a reason for vaccination; parents felt a need to protect their child, while sons wanted to protect their own health. Parents and sons commonly misinterpreted the information about the vaccine. Sons were concerned about an injection in the penis, while some parents and sons thought the vaccine would protect them against other sexually transmitted infections including Herpes, Gonorrhea, and HIV. Parents and sons recalled that the vaccine prevented genital warts rather than cancer. The vaccine decision-making process was rapid and dynamic, including an initial reaction to the recommendation for HPV vaccine, discussion between parent and son, and the final vaccine decision. Provider input was weighed in instances of initial disagreement. Many boys felt that this was the first health care decision that they had been involved in. Dyads which reported shared decision-making were more likely to openly communicate about sexual issues than those

  13. Trends in control and decision-making for human-robot collaboration systems

    CERN Document Server

    Zhang, Fumin

    2017-01-01

    This book provides an overview of recent research developments in the automation and control of robotic systems that collaborate with humans. A measure of human collaboration being necessary for the optimal operation of any robotic system, the contributors exploit a broad selection of such systems to demonstrate the importance of the subject, particularly where the environment is prone to uncertainty or complexity. They show how such human strengths as high-level decision-making, flexibility, and dexterity can be combined with robotic precision, and ability to perform task repetitively or in a dangerous environment. The book focuses on quantitative methods and control design for guaranteed robot performance and balanced human experience. Its contributions develop and expand upon material presented at various international conferences. They are organized into three parts covering: one-human–one-robot collaboration; one-human–multiple-robot collaboration; and human–swarm collaboration. Individual topic ar...

  14. Decision Analysis Methods Used to Make Appropriate Investments in Human Exploration Capabilities and Technologies

    Science.gov (United States)

    Williams-Byrd, Julie; Arney, Dale C.; Hay, Jason; Reeves, John D.; Craig, Douglas

    2016-01-01

    NASA is transforming human spaceflight. The Agency is shifting from an exploration-based program with human activities in low Earth orbit (LEO) and targeted robotic missions in deep space to a more sustainable and integrated pioneering approach. Through pioneering, NASA seeks to address national goals to develop the capacity for people to work, learn, operate, live, and thrive safely beyond Earth for extended periods of time. However, pioneering space involves daunting technical challenges of transportation, maintaining health, and enabling crew productivity for long durations in remote, hostile, and alien environments. Prudent investments in capability and technology developments, based on mission need, are critical for enabling a campaign of human exploration missions. There are a wide variety of capabilities and technologies that could enable these missions, so it is a major challenge for NASA's Human Exploration and Operations Mission Directorate (HEOMD) to make knowledgeable portfolio decisions. It is critical for this pioneering initiative that these investment decisions are informed with a prioritization process that is robust and defensible. It is NASA's role to invest in targeted technologies and capabilities that would enable exploration missions even though specific requirements have not been identified. To inform these investments decisions, NASA's HEOMD has supported a variety of analysis activities that prioritize capabilities and technologies. These activities are often based on input from subject matter experts within the NASA community who understand the technical challenges of enabling human exploration missions. This paper will review a variety of processes and methods that NASA has used to prioritize and rank capabilities and technologies applicable to human space exploration. The paper will show the similarities in the various processes and showcase instances were customer specified priorities force modifications to the process. Specifically

  15. High-frequency oscillations in distributed neural networks reveal the dynamics of human decision making

    Directory of Open Access Journals (Sweden)

    Adrian G Guggisberg

    2008-03-01

    Full Text Available We examine the relative timing of numerous brain regions involved in human decisions that are based on external criteria, learned information, personal preferences, or unconstrained internal considerations. Using magnetoencephalography (MEG and advanced signal analysis techniques, we were able to non-invasively reconstruct oscillations of distributed neural networks in the high-gamma frequency band (60–150 Hz. The time course of the observed neural activity suggested that two-alternative forced choice tasks are processed in four overlapping stages: processing of sensory input, option evaluation, intention formation, and action execution. Visual areas are activated fi rst, and show recurring activations throughout the entire decision process. The temporo-occipital junction and the intraparietal sulcus are active during evaluation of external values of the options, 250–500 ms after stimulus presentation. Simultaneously, personal preference is mediated by cortical midline structures. Subsequently, the posterior parietal and superior occipital cortices appear to encode intention, with different subregions being responsible for different types of choice. The cerebellum and inferior parietal cortex are recruited for internal generation of decisions and actions, when all options have the same value. Action execution was accompanied by activation peaks in the contralateral motor cortex. These results suggest that high-gamma oscillations as recorded by MEG allow a reliable reconstruction of decision processes with excellent spatiotemporal resolution.

  16. Temporal characteristics of the influence of punishment on perceptual decision making in the human brain.

    Science.gov (United States)

    Blank, Helen; Biele, Guido; Heekeren, Hauke R; Philiastides, Marios G

    2013-02-27

    Perceptual decision making is the process by which information from sensory systems is combined and used to influence our behavior. In addition to the sensory input, this process can be affected by other factors, such as reward and punishment for correct and incorrect responses. To investigate the temporal dynamics of how monetary punishment influences perceptual decision making in humans, we collected electroencephalography (EEG) data during a perceptual categorization task whereby the punishment level for incorrect responses was parametrically manipulated across blocks of trials. Behaviorally, we observed improved accuracy for high relative to low punishment levels. Using multivariate linear discriminant analysis of the EEG, we identified multiple punishment-induced discriminating components with spatially distinct scalp topographies. Compared with components related to sensory evidence, components discriminating punishment levels appeared later in the trial, suggesting that punishment affects primarily late postsensory, decision-related processing. Crucially, the amplitude of these punishment components across participants was predictive of the size of the behavioral improvements induced by punishment. Finally, trial-by-trial changes in prestimulus oscillatory activity in the alpha and gamma bands were good predictors of the amplitude of these components. We discuss these findings in the context of increased motivation/attention, resulting from increases in punishment, which in turn yields improved decision-related processing.

  17. A cortical network model of cognitive and emotional influences in human decision making.

    Science.gov (United States)

    Nazir, Azadeh Hassannejad; Liljenström, Hans

    2015-10-01

    Decision making (DM)(2) is a complex process that appears to involve several brain structures. In particular, amygdala, orbitofrontal cortex (OFC) and lateral prefrontal cortex (LPFC) seem to be essential in human decision making, where both emotional and cognitive aspects are taken into account. In this paper, we present a computational network model representing the neural information processing of DM, from perception to behavior. We model the population dynamics of the three neural structures (amygdala, OFC and LPFC), as well as their interaction. In our model, the neurodynamic activity of amygdala and OFC represents the neural correlates of secondary emotion, while the activity of certain neural populations in OFC alone represents the outcome expectancy of different options. The cognitive/rational aspect of DM is associated with LPFC. Our model is intended to give insights on the emotional and cognitive processes involved in DM under various internal and external contexts. Different options for actions are represented by the oscillatory activity of cell assemblies, which may change due to experience and learning. Knowledge and experience of the outcome of our decisions and actions can eventually result in changes in our neural structures, attitudes and behaviors. Simulation results may have implications for how we make decisions for our individual actions, as well as for societal choices, where we take examples from transport and its impact on CO2 emissions and climate change.

  18. Nordsøen Movie Maker

    DEFF Research Database (Denmark)

    2013-01-01

    oplevelser med legesyge sæler, susende hvirvelstrømme og gigantiske klumpfisk. Nordsøen Movie Maker giver filmen et ekstra virtuelt lag, og via augmented reality bliver der tilføjet seje og morsomme, animerede specialeffekter. 1) Download app’en 2) Find et moviespot ved ekspeditionsposterne i Nordsøen...

  19. Taiwan Garment Makers Plan Branding in Mainland

    Institute of Scientific and Technical Information of China (English)

    2012-01-01

    Seeing the promising branded fashions market in mainland, Taiwan textile manufacturers plan to promote branded products here. Precedent has been set by Tainan Enterprises Co., a leading garment maker in Taiwan, has been in business in mainland for nearly two decades and in recent years successfully promoted its own line of "Tony Wear" fashions.

  20. Recent Discoveries on Antwerp Panel Makers' Marks

    DEFF Research Database (Denmark)

    Wadum, Jørgen

    1993-01-01

    There still exist today uncertainties and misunderstandings in our interpretation of panel makers' marks from early 17th century Antwerp. In the future, panel marks and the panels on which they can be found will certainly render much more information concerning the technology of that time. Still...

  1. Recent Discoveries on Antwerp Panel Makers' Marks

    DEFF Research Database (Denmark)

    Wadum, Jørgen

    1993-01-01

    more can be added to our comprehension of the way the panel makers worked in Antwerp. In the following paper I shall give a brief summary of the present state of research, as well as outline the complicated task of interpreting these marks and their use as a dating tool. The ready-made supports...

  2. From Performance to Decision Processes in 33 Years: A History of Organizational Behavior and Human Decision Processes under James C. Naylor.

    Science.gov (United States)

    Weber

    1998-12-01

    For the past 33 years, Organizational Behavior and Human Decision Processes has thrived under a single editor. That editor, James C. Naylor, is retiring from his long stewardship. This article chronicles the course of the journal under Jim's direction and marks some of the accomplishments and changes over the past three decades that go to his credit. Copyright 1998 Academic Press.

  3. EEG-fMRI based information theoretic characterization of the human perceptual decision system.

    Directory of Open Access Journals (Sweden)

    Dirk Ostwald

    Full Text Available The modern metaphor of the brain is that of a dynamic information processing device. In the current study we investigate how a core cognitive network of the human brain, the perceptual decision system, can be characterized regarding its spatiotemporal representation of task-relevant information. We capitalize on a recently developed information theoretic framework for the analysis of simultaneously acquired electroencephalography (EEG and functional magnetic resonance imaging data (fMRI (Ostwald et al. (2010, NeuroImage 49: 498-516. We show how this framework naturally extends from previous validations in the sensory to the cognitive domain and how it enables the economic description of neural spatiotemporal information encoding. Specifically, based on simultaneous EEG-fMRI data features from n = 13 observers performing a visual perceptual decision task, we demonstrate how the information theoretic framework is able to reproduce earlier findings on the neurobiological underpinnings of perceptual decisions from the response signal features' marginal distributions. Furthermore, using the joint EEG-fMRI feature distribution, we provide novel evidence for a highly distributed and dynamic encoding of task-relevant information in the human brain.

  4. Desperately seeking donors: the 'saviour sibling' decision in Quintavalle v Human Fertilisation and Embryology Authority (UK).

    Science.gov (United States)

    Hocking, Barbara Ann; Guy, Scott

    2005-08-01

    The recent House of Lords decision in Quintavalle v Human Fertilisation and Embryology Authority has raised difficult and complex issues regarding the extent to which embryo selection and reproductive technology can be used as a means of rectifying genetic disorders and treating critically ill children. This comment outlines the facts of Quintavalle and explores how the House of Lords approached the legal, ethical and policy issues that arose out of the Human Fertilisation and Embryology Authority's (UK) decision to allow reproductive and embryo technology to be used to produce a 'saviour sibling' whose tissue could be used to save the life of a critically ill child. Particular attention will be given to the implications of the decision in Quintavalle for Australian family and medical law and policy. As part of this focus, the comment explores the current Australian legislative and policy framework regarding the use of genetic and reproductive technology as a mechanism through which to assist critically ill siblings. It is argued that the present Australian framework would appear to impose significant limits on the medical uses of genetic technology and, in this context, would seem to reflect many of the principles that were articulated by the House of Lords in Quintavalle.

  5. 基于决策者风险规避特性的供应链需求信息共享价值分析%Analysis of Supply Chain's Demand Information Sharing Values Based on Decision-Maker's Risk Aversion Characteristics

    Institute of Scientific and Technical Information of China (English)

    叶飞; 陈晓明; 林强

    2012-01-01

    在随机需求条件下,利用条件风险估值( conditional value-at-risk,CVaR)的风险度量准则建立了供应链的需求信息共享决策模型,着重分析了零售商的风险规避程度以及市场需求的不确定性信息对供应链各决策者以及供应链整体信息共享价值的影响.研究结果表明,需求信息共享价值与零售商的风险规避程度、市场不确定性大小以及市场不确定信息所预测的市场需求变化情况有关.数值分析结果表明,零售商越害怕市场的不确定性风险,需求信息共享越有利于提升分散供应链的运作效率;但当市场信息反映出未来的市场需求是消极且零售商接近风险中性时,供应链的需求信息共享价值反而小于零,此时没有进行信息共享的必要.%In the 21st century, enterprises are competing with each other on supply chain efficiency and effectiveness. Although information integration across supply chain partners is critical to supply chain competitiveness and profitability, its actualization remains challenging because of the prevalent information sharing barriers, such as asymmetric information, bounded rationality, opportunism, risk prevention, etc. The current literature often calculates information sharing values in a supply chain based on the assumption that decision-makers are risk neutral. This paper proposes a new model be built to consider the potential impact of decision makers' risk aversion characteristics. We therefore propose a supply chain demand information-sharing model based conditional value-at-risk criterion under stochastic demand. This paper analyzes how a retailer's risk aversion and demand uncertainty would affect the information sharing value of supply chain. We build a Stackelberg game that considers supplier and retailer as leader and follower. This study assumes that the retailer is able to pay a certain fee to obtain information about demand uncertainty and can decide whether to

  6. Games and Platform Decisions

    DEFF Research Database (Denmark)

    Hansen, Poul H. Kyvsgård; Mikkola, Juliana Hsuan

    2007-01-01

    is the application of on-line games in order to provide training for decision makers and in order to generate overview over the implications of platform decisions. However, games have to be placed in a context with other methods and we argue that a mixture of games, workshops, and simulations can provide improved...

  7. Games and Platform Decisions

    DEFF Research Database (Denmark)

    Hansen, Poul H. Kyvsgård; Mikkola, Juliana Hsuan

    2007-01-01

    is the application of on-line games in order to provide training for decision makers and in order to generate overview over the implications of platform decisions. However, games have to be placed in a context with other methods and we argue that a mixture of games, workshops, and simulations can provide improved...

  8. Teachers’ informed decision-making in evaluation: Corollary of ELT curriculum as a human lived experience

    Directory of Open Access Journals (Sweden)

    Álvaro Hernán Quintero Polo

    2003-01-01

    Full Text Available This article characterizes informed decision-making as one important activity of evaluation in the English Language Teaching (ELT curriculum. I emphasize on a distinction between human and technical approaches to evaluation. This emphasis is consequence of my reflection upon my and some in-service teachers’ perceptions about literature and small-scale research projects related to the area of evaluation. In this article, I also intend to contribute to an understanding of why educational processes need to be seen as a lived experience for which informed decision-making can be used as a sound practice in a process of evaluation. A practical academic experience illustrates the discussions in this article. I led the practical experience as a professor of a seminar on testing and evaluation in English language teaching (ELT, in the Master’s Program in Applied Linguistics to the Teaching of English as a Foreign Language at the Distrital University in Bogotá, Colombia.

  9. A model of human collective decision-making in complex environments

    CERN Document Server

    Carbone, Giuseppe

    2015-01-01

    A continuous-time Markov process is proposed to analyze how a group of humans solves a complex task, consisting in the search of the optimal set of decisions on a fitness landscape. Individuals change their opinions driven by two different forces: (i) the rational behavior which pushes them to change their opinions as to increase their own fitness values, and (ii) the social interactions which push individuals to reduce the diversity of their opinions in order to reach consensus. Results show that the performance of the group is strongly affected by the strength of social interactions and by the level of knowledge of the individuals. Increasing the strength of social interactions improves the performance of the team. However, too strong social interactions slow down the search of the optimal solution and worsen the performance of the group. We prove that a moderate level of knowledge is already enough to guarantee high performance of the group in making decisions.

  10. A COPRAS-F base multi-criteria group decision making approach for site selection of wind farm

    Directory of Open Access Journals (Sweden)

    Nikhil Chandra Chatterjee

    2013-01-01

    Full Text Available Today global warming is on the rise and the natural resources are getting consumed at a faster rate. Power consumption has increased many folds to cater the human need. Thus renewable energy resources are the only option available at this juncture. Wind energy is one of the renewable energy. Location selection for wind farm takes an important role on power generation. However, the location selection is a complex multicriteria problem due to the criteria factors which are conflicting in nature as well as uncertain. The process becomes more complex when a group of decision makers are involved in decision making. In the present study, a COPRAS (COmplex PRoportional ASsessment based multi-criteria decision-making (MCDM methodology is done under fuzzy environment with the help of multiple decision makers. More specifically, this study is aimed to focus the applicability of COPRAS-F as a strategic decision making tools to handle the group decision-making problems.

  11. Manipulating decision making of typical agents

    CERN Document Server

    Yukalov, V I

    2014-01-01

    We investigate how the choice of decision makers can be varied under the presence of risk and uncertainty. Our analysis is based on the approach we have previously applied to individual decision makers, which we now generalize to the case of decision makers that are members of a society. The approach employs the mathematical techniques that are common in quantum theory, justifying our naming as Quantum Decision Theory. However, we do not assume that decision makers are quantum objects. The techniques of quantum theory are needed only for defining the prospect probabilities taking into account such hidden variables as behavioral biases and other subconscious feelings. The approach describes an agent's choice as a probabilistic event occurring with a probability that is the sum of a utility factor and of an attraction factor. The attraction factor embodies subjective and unconscious dimensions in the mind of the decision maker. We show that the typical aggregate amplitude of the attraction factor is $1/4$, and ...

  12. Human mammary progenitor cell fate decisions are products of interactions with combinatorial microenvironments

    Energy Technology Data Exchange (ETDEWEB)

    LaBarge, Mark A; Nelson, Celeste M; Villadsen, Rene; Fridriksdottir, Agla; Ruth, Jason R; Stampfer, Martha R; Petersen, Ole W; Bissell, Mina J

    2008-09-19

    In adult tissues, multi-potent progenitor cells are some of the most primitive members of the developmental hierarchies that maintain homeostasis. That progenitors and their more mature progeny share identical genomes, suggests that fate decisions are directed by interactions with extrinsic soluble factors, ECM, and other cells, as well as physical properties of the ECM. To understand regulation of fate decisions, therefore, would require a means of understanding carefully choreographed combinatorial interactions. Here we used microenvironment protein microarrays to functionally identify combinations of cell-extrinsic mammary gland proteins and ECM molecules that imposed specific cell fates on bipotent human mammary progenitor cells. Micropatterned cell culture surfaces were fabricated to distinguish between the instructive effects of cell-cell versus cell-ECM interactions, as well as constellations of signaling molecules; and these were used in conjunction with physiologically relevant 3 dimensional human breast cultures. Both immortalized and primary human breast progenitors were analyzed. We report on the functional ability of those proteins of the mammary gland that maintain quiescence, maintain the progenitor state, and guide progenitor differentiation towards myoepithelial and luminal lineages.

  13. Critical Factors Influencing Decision to Adopt Human Resource Information System (HRIS) in Hospitals.

    Science.gov (United States)

    Alam, Md Golam Rabiul; Masum, Abdul Kadar Muhammad; Beh, Loo-See; Hong, Choong Seon

    2016-01-01

    The aim of this research is to explore factors influencing the management decisions to adopt human resource information system (HRIS) in the hospital industry of Bangladesh-an emerging developing country. To understand this issue, this paper integrates two prominent adoption theories-Human-Organization-Technology fit (HOT-fit) model and Technology-Organization-Environment (TOE) framework. Thirteen factors under four dimensions were investigated to explore their influence on HRIS adoption decisions in hospitals. Employing non-probability sampling method, a total of 550 copies of structured questionnaires were distributed among HR executives of 92 private hospitals in Bangladesh. Among the respondents, usable questionnaires were 383 that suggesting a valid response rate of 69.63%. We classify the sample into 3 core groups based on the HRIS initial implementation, namely adopters, prospectors, and laggards. The obtained results specify 5 most critical factors i.e. IT infrastructure, top management support, IT capabilities of staff, perceived cost, and competitive pressure. Moreover, the most significant dimension is technological dimension followed by organisational, human, and environmental among the proposed 4 dimensions. Lastly, the study found existence of significant differences in all factors across different adopting groups. The study results also expose constructive proposals to researchers, hospitals, and the government to enhance the likelihood of adopting HRIS. The present study has important implications in understanding HRIS implementation in developing countries.

  14. Towards Human-Robot Teams : Model-Based Analysis of Human Decision Making in Two-Alternative Choice Tasks With Social Feedback

    NARCIS (Netherlands)

    Stewart, Andrew; Cao, Ming; Nedic, Andrea; Tomlin, Damon; Leonard, Naomi Ehrich

    2012-01-01

    With a principled methodology for systematic design of human-robot decision-making teams as a motivating goal, we seek an analytic, model-based description of the influence of team and network design parameters on decision-making performance. Given that there are few reliably predictive models of hu

  15. Demandas y expectativas de la evaluación de tecnologías sanitarias en Galicia: Análisis cualitativo desde la perspectiva de decisores y clínicos Requirements for and expectations of health technology assessment in Galicia (Spain: A qualitative study from the perspective of decision-makers and clinicians

    Directory of Open Access Journals (Sweden)

    Leonor Varela-Lema

    2011-12-01

    in the Galician public health system, identify opinions on the usefulness of the products and services developed by the Galician Health Technology Assessment Agency (avalia-t, and determine the barriers and facilitators to the transfer of results to clinical practice. Method: We performed a qualitative study based on in-depth semi-structured interviews of 20 intentionally selected experts (10 health care professionals and 10 hospital decision makers. The interviews were tape recorded and transcribed for inductive thematic analysis. Results: Interest in HTA activities was high, but most informants considered these activities to be underused as a tool to aid decision making in clinical practice. A series of key factors was identified to guarantee HTA use: greater dissemination of HTA activities and availability of the results, increased involvement and communication among health care professionals in the selection and prioritization of relevant research, contextualization and adaptation of results to the local context, increased organizational support and greater financial resources. Conclusions: The present study allows end-users´ opinions on the utility of the various products/services offered by HTA agencies to be contrasted in order to adapt HTA activity to their needs and requirements. The involvement of health care professionals in all HTA fields is perceived as one of the main lines of action for HTA agencies. Such involvement could be achieved by reinforcing personal contact and increasing feedback to collaborators.

  16. ComTrustO: Composite Trust-Based Ontology Framework for Information and Decision Fusion

    Science.gov (United States)

    2015-07-06

    ComTrustO: Composite Trust-based Ontology Framework for Information and Decision Fusion Alessandro Oltramari Carnegie Mellon University Pittsburgh... ontology -based framework for information fusion, as a support system for human decision makers. In particular, we build upon the concept of composite...multidimensional trust, we construct a composite trust ontology framework, called ComTrustO, that embraces four trust ontologies , one for each trust type. We

  17. Self-organization in complex systems as decision making

    CERN Document Server

    Yukalov, V I

    2014-01-01

    The idea is advanced that self-organization in complex systems can be treated as decision making (as it is performed by humans) and, vice versa, decision making is nothing but a kind of self-organization in the decision maker nervous systems. A mathematical formulation is suggested based on the definition of probabilities of system states, whose particular cases characterize the probabilities of structures, patterns, scenarios, or prospects. In this general framework, it is shown that the mathematical structures of self-organization and of decision making are identical. This makes it clear how self-organization can be seen as an endogenous decision making process and, reciprocally, decision making occurs via an endogenous self-organization. The approach is illustrated by phase transitions in large statistical systems, crossovers in small statistical systems, evolutions and revolutions in social and biological systems, structural self-organization in dynamical systems, and by the probabilistic formulation of c...

  18. The tough decisions that no one wants to make.

    Science.gov (United States)

    Taylor, Joe; Jacobs, Michael

    2003-01-01

    This article examines prescription drug benefit plan trends: past, current, short-term future and long-term future. It includes a brief discussion of each cost trend and its drivers, then asks the question, "What can be done to protect the pharmacy benefit budget, yet provide what is needed?" from three perspectives: (1) business, (2) stakeholders (management, human resource groups, physicians, employees) and (3) patients (employees and dependents). The article discusses therapeutic guidelines, physician education, reimbursement issues, distribution channels and the impact of business decisions on employees, dependents, stockholders, shareholder value, management, human resources and decision makers' own careers.

  19. Mapping with the Masses: Google Map Maker

    Science.gov (United States)

    Pfund, J.

    2008-12-01

    After some 15,000 years of map making, which saw the innovations of cardinal directions, map projections for a spherical earth, and GIS analysis, many parts of the world still appear as the "Dark Continent" on modern maps. Google Map Maker intends to shine a light on these areas by tapping into the power of the GeoWeb. Google Map Maker is a website which allows you to collaborate with others on one unified map to add, edit, locate, describe, and moderate map features, such as roads, cities, businesses, parks, schools and more, for certain regions of the world using Google Maps imagery. In this session, we will show some examples of how people are mapping with this powerful tool as well as what they are doing with the data. With Google Map Maker, you can become a citizen cartographer and join the global network of users helping to improve the quality of maps and local information in your region of interest. You are invited to map the world with us!

  20. Decision Support System Requirements Definition for Human Extravehicular Activity Based on Cognitive Work Analysis.

    Science.gov (United States)

    Miller, Matthew James; McGuire, Kerry M; Feigh, Karen M

    2017-06-01

    The design and adoption of decision support systems within complex work domains is a challenge for cognitive systems engineering (CSE) practitioners, particularly at the onset of project development. This article presents an example of applying CSE techniques to derive design requirements compatible with traditional systems engineering to guide decision support system development. Specifically, it demonstrates the requirements derivation process based on cognitive work analysis for a subset of human spaceflight operations known as extravehicular activity. The results are presented in two phases. First, a work domain analysis revealed a comprehensive set of work functions and constraints that exist in the extravehicular activity work domain. Second, a control task analysis was performed on a subset of the work functions identified by the work domain analysis to articulate the translation of subject matter states of knowledge to high-level decision support system requirements. This work emphasizes an incremental requirements specification process as a critical component of CSE analyses to better situate CSE perspectives within the early phases of traditional systems engineering design.

  1. Value-directed human behavior analysis from video using partially observable Markov decision processes.

    Science.gov (United States)

    Hoey, Jesse; Little, James J

    2007-07-01

    This paper presents a method for learning decision theoretic models of human behaviors from video data. Our system learns relationships between the movements of a person, the context in which they are acting, and a utility function. This learning makes explicit that the meaning of a behavior to an observer is contained in its relationship to actions and outcomes. An agent wishing to capitalize on these relationships must learn to distinguish the behaviors according to how they help the agent to maximize utility. The model we use is a partially observable Markov decision process, or POMDP. The video observations are integrated into the POMDP using a dynamic Bayesian network that creates spatial and temporal abstractions amenable to decision making at the high level. The parameters of the model are learned from training data using an a posteriori constrained optimization technique based on the expectation-maximization algorithm. The system automatically discovers classes of behaviors and determines which are important for choosing actions that optimize over the utility of possible outcomes. This type of learning obviates the need for labeled data from expert knowledge about which behaviors are significant and removes bias about what behaviors may be useful to recognize in a particular situation. We show results in three interactions: a single player imitation game, a gestural robotic control problem, and a card game played by two people.

  2. Signal detection theory and methods for evaluating human performance in decision tasks

    Science.gov (United States)

    Obrien, Kevin; Feldman, Evan M.

    1993-01-01

    Signal Detection Theory (SDT) can be used to assess decision making performance in tasks that are not commonly thought of as perceptual. SDT takes into account both the sensitivity and biases in responding when explaining the detection of external events. In the standard SDT tasks, stimuli are selected in order to reveal the sensory capabilities of the observer. SDT can also be used to describe performance when decisions must be made as to the classification of easily and reliably sensed stimuli. Numbers are stimuli that are minimally affected by sensory processing and can belong to meaningful categories that overlap. Multiple studies have shown that the task of categorizing numbers from overlapping normal distributions produces performance predictable by SDT. These findings are particularly interesting in view of the similarity between the task of the categorizing numbers and that of determining the status of a mechanical system based on numerical values that represent sensor readings. Examples of the use of SDT to evaluate performance in decision tasks are reviewed. The methods and assumptions of SDT are shown to be effective in the measurement, evaluation, and prediction of human performance in such tasks.

  3. Changing Times, Complex Decisions: Presidential Values and Decision Making

    Science.gov (United States)

    Hornak, Anne M.; Garza Mitchell, Regina L.

    2016-01-01

    Objective: The objective of this article is to delve more deeply into the thought processes of the key decision makers at community colleges and understand how they make decisions. Specifically, this article focuses on the role of the community college president's personal values in decision making. Method: We conducted interviews with 13…

  4. Study on delivery date and pricing decision in supply chain based on different delivery date decision-maker%基于不同交货期决策权下的供应链交货期和定价决策研究

    Institute of Scientific and Technical Information of China (English)

    周颖; 陈旭

    2011-01-01

    Based on price and delivery time sensitive demand,in a single-manufacturer-single-retailer's two-echelon supply chain system,with the objective of maximizing the expected profit,models of both the delivery date controlled by manufacturer and controlled by retailer are built,and the optimal solutions and the maximum expected profit are obtained. By comparison,the impact of different decision-making power of the delivery date on the optimal time of delivery date and the maximum expected profit of supply chain is discussed.In order to achieve the maximization of expected profit,based on customer demand characteristics and the guaranteed service level of delivery date,the supply chain should select the manufacturer to control the supply chain delivery date.%基于对价格和交货期敏感的需求,针对一个制造商与一个零售商构成的两阶段供应链,以最大化期望利润为目标,分别建立供应链交货期由制造商和零售商控制的决策模型,以得到相应的最优解和最大期望利润.通过比较,探讨了不同交货期决策权对供应链最优交货期和最大期望利润的影响,得到了为实现期望利润最大化,针对顾客需求特性,供应链系统应在保证一定交货期服务水平的基础上选择由制造商控制供应链交货期的结论.

  5. Simulation of human behavior elements in a virtual world using decision trees

    Directory of Open Access Journals (Sweden)

    Sandra Mercado Pérez

    2013-05-01

    Full Text Available Human behavior refers to the way an individual responds to certain events or occurrences, naturally cannot predict how an individual can act, for it the computer simulation is used. This paper presents the development of the simulation of five possible human reactions within a virtual world, as well as the steps needed to create a decision tree that supports the selection of any of any of these reactions. For that creation it proposes three types of attributes, those are the personality, the environment and the level of reaction. The virtual world Second Life was selected because of its internal programming language LSL (Linden Scripting Language which allows the execution of predefined animation sequences or creates your own.

  6. Decision Making in the Airplane

    Science.gov (United States)

    Orasanu, Judith; Shafto, Michael G. (Technical Monitor)

    1995-01-01

    The Importance of decision-making to safety in complex, dynamic environments like mission control centers, aviation, and offshore installations has been well established. NASA-ARC has a program of research dedicated to fostering safe and effective decision-making in the manned spaceflight environment. Because access to spaceflight is limited, environments with similar characteristics, including aviation and nuclear power plants, serve as analogs from which space-relevant data can be gathered and theories developed. Analyses of aviation accidents cite crew judgement and decision making as causes or contributing factors in over half of all accidents. Yet laboratory research on decision making has not proven especially helpful In improving the quality of decisions in these kinds of environments. One reason is that the traditional, analytic decision models are inappropriate to multi-dimensional, high-risk environments, and do not accurately describe what expert human decision makers do when they make decisions that have consequences. A new model of dynamic, naturalistic decision making is offered that may prove useful for improving decision making in complex, isolated, confined and high-risk environments. Based on analyses of crew performance in full-mission simulators and accident reports, features that define effective decision strategies in abnormal or emergency situations have been identified. These include accurate situation assessment (including time and risk assessment), appreciation of the complexity of the problem, sensitivity to constraints on the decision, timeliness of the response, and use of adequate information. More effective crews also manage their workload to provide themselves with time and resources to make good decisions. In brief, good decisions are appropriate to the demands of the situation. Effective crew decision making and overall performance are mediated by crew communication. Communication contributes to performance because it assures that

  7. Induction of Ordinal Decision Trees

    NARCIS (Netherlands)

    J.C. Bioch (Cor); V. Popova (Viara)

    2003-01-01

    textabstractThis paper focuses on the problem of monotone decision trees from the point of view of the multicriteria decision aid methodology (MCDA). By taking into account the preferences of the decision maker, an attempt is made to bring closer similar research within machine learning and MCDA.

  8. Use of Participatory Systems Dynamics Modelling to Generate User-Friendly Decision Support Systems for the Design of Management Policies for Complex Human-Environmental Systems: A Case Study from the Varied Socio-environmental Landscape of Guatemala

    Science.gov (United States)

    Malard, J. J.; Baig, A. I.; Carrera, J.; Mellini, L.; Pineda, P.; Monterroso, O.; Melgar-Quiñonez, H.; Adamowski, J. F.; Halbe, J.; Monardes, H.; Gálvez, J.

    2014-12-01

    The design of effective management policies for socioenvironmental systems requires the development of comprehensive, yet sufficiently simple, decision support systems (DSS) for policy makers. Guatemala is a particularly complex case, combining an enormous diversity of climates, geographies, and agroecosystems within a very small geographical scale. Although food insecurity levels are very high, indicating a generally inadequate management of the varied agroecosystems of the country, different regions have shown vastly different trends in food insecurity over the past decade, including between regions with similar geophysical and climatic characteristics and/or governmental programmes (e.g., agricultural support). These observations suggest two important points: firstly, that not merely environmental conditions but rather socio-environmental interactions play a crucial role in the successful management of human-environmental systems, and, secondly, that differences in the geophysical and climatic environments between the diverse regions significantly impact the success or failure of policies. This research uses participatory systems dynamic modelling (SDM) to build a DSS that allows local decision-makers to (1) determine the impact of current and potential policies on agroecosystem management and food security, and (2) design sustainable and resilient policies for the future. The use of participatory SDM offers several benefits, including the active involvement of the end recipients in the development of the model, greatly increasing its acceptability; the integration of physical (e.g., precipitation, crop yield) and social components in one model; adequacy for modelling long-term trends in response to particular policy decisions; and the inclusion of local stakeholder knowledge on system structure and trends through the participatory process. Preliminary results suggest that there is a set of common variables explaining the generally high levels of food insecurity

  9. On the Theory of Human Decisions in the Age of “beneficial globalization”

    Directory of Open Access Journals (Sweden)

    Katalin Martinás

    2010-12-01

    Full Text Available The globalisation is a complex phenomenon with many advantageous and disadvantageous consequences. In this paper we investigate the linkage between globalised market economy and the happiness through the ethical implications of the greatest happiness principle in a system approach. We also investigate the terms of the beneficial globalisation. Our proposition is that: the main condition of the good globalisation should be Bentham’s principle: the greatest happiness for the greatest number and the United States Declaration of Independence’s famous phrase pursuit of happiness.We face the following problem: the globalization assures – due to its Nature – the growth of Z, which is the marketed part of the globalization, but not the total happiness.The main question in political philosophy is: What do we need to do in order to live together well? In complex approach, based on the wealth increase law we take into account the parameters, which will be changed by the human decisions (i as well as the long-term expectations, which are motivating the decisions themselves (ii. Factors (i are the followings: material goods, money, parameters of human physiology (e.g. health, psychology (knowledge, sociology (e.g. friends, power. These quantities are measurable in principle, i.e. they can be mapped into the set of real numbers. The changes are exchanges between two agents or with the nature, and there is production/consumption inside the agent.

  10. Multi-Criteria Decision-Making Methods and Their Applications for Human Resources

    Science.gov (United States)

    D'Urso, M. G.; Masi, D.

    2015-05-01

    Both within the formation field and the labor market Multi-Criteria Decision Methods (MCDM) provide a significant support to the management of human resources in which the best choice among several alternatives can be very complex. This contribution addresses fuzzy logic in multi-criteria decision techniques since they have several applications in the management of human resources with the advantage of ruling out mistakes due to the subjectivity of the person in charge of making a choice. Evaluating educational achievements as well as the professional profile of a technician more suitable for a job in a firm, industry or a professional office are valuable examples of fuzzy logic. For all of the previous issues subjectivity is a fundamental aspect so that fuzzy logic, due to the very meaning of the word fuzzy, should be the preferred choice. However, this is not sufficient to justify its use; fuzzy technique has to make the system of evaluation and choice more effective and objective. The methodological structure of the multi-criteria fuzzy criterion is hierarchic and allows one to select the best alternatives in all those cases in which several alternatives are possible; thus, the optimal choice can be achieved by analyzing the different scopes of each criterion and sub-criterion as well as the relevant weights.

  11. VIC–CropSyst-v2: A regional-scale modeling platform to simulate the nexus of climate, hydrology, cropping systems, and human decisions

    Directory of Open Access Journals (Sweden)

    K. Malek

    2017-08-01

    Full Text Available Food supply is affected by a complex nexus of land, atmosphere, and human processes, including short- and long-term stressors (e.g., drought and climate change, respectively. A simulation platform that captures these complex elements can be used to inform policy and best management practices to promote sustainable agriculture. We have developed a tightly coupled framework using the macroscale variable infiltration capacity (VIC hydrologic model and the CropSyst agricultural model. A mechanistic irrigation module was also developed for inclusion in this framework. Because VIC–CropSyst combines two widely used and mechanistic models (for crop phenology, growth, management, and macroscale hydrology, it can provide realistic and hydrologically consistent simulations of water availability, crop water requirements for irrigation, and agricultural productivity for both irrigated and dryland systems. This allows VIC–CropSyst to provide managers and decision makers with reliable information on regional water stresses and their impacts on food production. Additionally, VIC–CropSyst is being used in conjunction with socioeconomic models, river system models, and atmospheric models to simulate feedback processes between regional water availability, agricultural water management decisions, and land–atmosphere interactions. The performance of VIC–CropSyst was evaluated on both regional (over the US Pacific Northwest and point scales. Point-scale evaluation involved using two flux tower sites located in agricultural fields in the US (Nebraska and Illinois. The agreement between recorded and simulated evapotranspiration (ET, applied irrigation water, soil moisture, leaf area index (LAI, and yield indicated that, although the model is intended to work on regional scales, it also captures field-scale processes in agricultural areas.

  12. VIC-CropSyst-v2: A regional-scale modeling platform to simulate the nexus of climate, hydrology, cropping systems, and human decisions

    Science.gov (United States)

    Malek, Keyvan; Stöckle, Claudio; Chinnayakanahalli, Kiran; Nelson, Roger; Liu, Mingliang; Rajagopalan, Kirti; Barik, Muhammad; Adam, Jennifer C.

    2017-08-01

    Food supply is affected by a complex nexus of land, atmosphere, and human processes, including short- and long-term stressors (e.g., drought and climate change, respectively). A simulation platform that captures these complex elements can be used to inform policy and best management practices to promote sustainable agriculture. We have developed a tightly coupled framework using the macroscale variable infiltration capacity (VIC) hydrologic model and the CropSyst agricultural model. A mechanistic irrigation module was also developed for inclusion in this framework. Because VIC-CropSyst combines two widely used and mechanistic models (for crop phenology, growth, management, and macroscale hydrology), it can provide realistic and hydrologically consistent simulations of water availability, crop water requirements for irrigation, and agricultural productivity for both irrigated and dryland systems. This allows VIC-CropSyst to provide managers and decision makers with reliable information on regional water stresses and their impacts on food production. Additionally, VIC-CropSyst is being used in conjunction with socioeconomic models, river system models, and atmospheric models to simulate feedback processes between regional water availability, agricultural water management decisions, and land-atmosphere interactions. The performance of VIC-CropSyst was evaluated on both regional (over the US Pacific Northwest) and point scales. Point-scale evaluation involved using two flux tower sites located in agricultural fields in the US (Nebraska and Illinois). The agreement between recorded and simulated evapotranspiration (ET), applied irrigation water, soil moisture, leaf area index (LAI), and yield indicated that, although the model is intended to work on regional scales, it also captures field-scale processes in agricultural areas.

  13. Engineering of Rocking Nut Maker Tools

    Directory of Open Access Journals (Sweden)

    Sulharman

    2016-02-01

    Full Text Available There had been mechanically conducted an engineering of Rocking Nut Maker Tools for rocking nut small industry. The objective is to engineer a maker tool for rocking nut which can work with the assistance of motor without using manpower, thus it will increase the production of rocking nut. Making method on rocking nut maker tool includes: (1 Designing tool; (2 tool making; (3 Tool testing. According to the result of engineering tool, there were obtained: frame for tray that was made from angle iron: the height was 450 mm, the length was 1500 mm, and the width was 500 mm width, while the thickness was 3 mm. The tray was made from aluminium with 60 mm height, 1485 mm length, 485 mm width and 3 mm plate thickness. The motor had the power capacity of ½ HP, single phase and 1400 rpm while gearbox was 1:10. The wheels were made from iron with the diameter of 60 mm and the thickness of 20 mm. There are 4 wheels which were installed under the tray. Popper mechanism was made from iron that included iron plate with the diameter of 210 mm, the thickness of 7 mm and iron bar with the diameter of 15 mm and the length of 220 mm. This was equipped with speed variable. The result from tools performance could increase the production capacity by 400%; the bumpy texture on peanut surface could attach more strongly, the storage capacity increased for 6 months, while the production only lasted for 3 months if it was by manual. The capacity of rocking nut maker was 45 kg/day; it was only 7.5 kg/day by manual. The average time consumed for rocking nut making was 1.5 hours/ processing, while by manual was 3 hours/ processing. The rocking speed was 89-99rpm. This was an economical technology, by using this engineered tool, the production capacity per month was increased by 750 kg or equivalent with Rp. 47,250,000.- and by using this tool, there was an increase in profit of Rp. 13,450/ kg while by manual was only Rp 2,250/ kg. On the other side, the production cost by

  14. Manufacturing Toy Makers Forced to Upgrade

    Institute of Scientific and Technical Information of China (English)

    DAVID HENDRICKSON

    2006-01-01

    @@ Whether you are in Beijing or Boston, Hangzhou or Helsinki, if you visit a toy retailer, odds are the dolls, model cars, games and just about everything else around you were "Made in China". A business that dates back 3,000years to early kite development, China's 8,000 toy manufacturers today account for 70 to 80 percent of the world's toy supply, producing more than 30,000 toy varieties worth US$I5.I8 billion in exports annually. As impressive as such figures may be, however, the country's toy-makers find themselves at a crossroad.

  15. Design strategies for human & earth systems modeling to meet emerging multi-scale decision support needs

    Science.gov (United States)

    Spak, S.; Pooley, M.

    2012-12-01

    The next generation of coupled human and earth systems models promises immense potential and grand challenges as they transition toward new roles as core tools for defining and living within planetary boundaries. New frontiers in community model development include not only computational, organizational, and geophysical process questions, but also the twin objectives of more meaningfully integrating the human dimension and extending applicability to informing policy decisions on a range of new and interconnected issues. We approach these challenges by posing key policy questions that require more comprehensive coupled human and geophysical models, identify necessary model and organizational processes and outputs, and work backwards to determine design criteria in response to these needs. We find that modular community earth system model design must: * seamlessly scale in space (global to urban) and time (nowcasting to paleo-studies) and fully coupled on all component systems * automatically differentiate to provide complete coupled forward and adjoint models for sensitivity studies, optimization applications, and 4DVAR assimilation across Earth and human observing systems * incorporate diagnostic tools to quantify uncertainty in couplings, and in how human activity affects them * integrate accessible community development and application with JIT-compilation, cloud computing, game-oriented interfaces, and crowd-sourced problem-solving We outline accessible near-term objectives toward these goals, and describe attempts to incorporate these design objectives in recent pilot activities using atmosphere-land-ocean-biosphere-human models (WRF-Chem, IBIS, UrbanSim) at urban and regional scales for policy applications in climate, energy, and air quality.

  16. Predicting decisions in human social interactions using real-time fMRI and pattern classification.

    Directory of Open Access Journals (Sweden)

    Maurice Hollmann

    Full Text Available Negotiation and trade typically require a mutual interaction while simultaneously resting in uncertainty which decision the partner ultimately will make at the end of the process. Assessing already during the negotiation in which direction one's counterpart tends would provide a tremendous advantage. Recently, neuroimaging techniques combined with multivariate pattern classification of the acquired data have made it possible to discriminate subjective states of mind on the basis of their neuronal activation signature. However, to enable an online-assessment of the participant's mind state both approaches need to be extended to a real-time technique. By combining real-time functional magnetic resonance imaging (fMRI and online pattern classification techniques, we show that it is possible to predict human behavior during social interaction before the interacting partner communicates a specific decision. Average accuracy reached approximately 70% when we predicted online the decisions of volunteers playing the ultimatum game, a well-known paradigm in economic game theory. Our results demonstrate the successful online analysis of complex emotional and cognitive states using real-time fMRI, which will enable a major breakthrough for social fMRI by providing information about mental states of partners already during the mutual interaction. Interestingly, an additional whole brain classification across subjects confirmed the online results: anterior insula, ventral striatum, and lateral orbitofrontal cortex, known to act in emotional self-regulation and reward processing for adjustment of behavior, appeared to be strong determinants of later overt behavior in the ultimatum game. Using whole brain classification we were also able to discriminate between brain processes related to subjective emotional and motivational states and brain processes related to the evaluation of objective financial incentives.

  17. Eli Hecksher as a Portrait Maker

    Directory of Open Access Journals (Sweden)

    Benny Carlson

    2017-04-01

    Full Text Available Eli Heckscher was not only author of extensive investigations into economic history. He was also skillful in depicting phenomena in small format in encyclopædias, journals and newspapers. This article presents Heckscher as portrait maker of economic scholars. In these portraits—what he emphasized, what he praised, what he criticized—one can discern the stance of the portrait maker himself. Overall, his portraits are permeated by admiration of sharp theoretical analyses and massive economic historical investigations. He admires the founding fathers of political economy, Adam Smith and David Ricardo, stresses continuity in the development of economic thought, praises humble innovators like David Davidson, Knut Wicksell and Alfred Marshall and denounces (what he perceives as pretentious innovators like Gustav Cassel and John Maynard Keynes. He is critical towards economists who attempt to break out of the classical and neoclassical tradition, especially representatives of the German historical school, and what he judges to be a new type of mercantilism, represented by Bertil Ohlin and Keynes. At the same time he appreciates voluminous and solid investigations into economic history, even if performed without theoretical beacons, by scholars like William Cunningham, William Ashley, John Clapham, Marc Bloch, Richard Ehrenberg and Werner Sombart.

  18. An Integrated Model for Optimization Oriented Decision Aiding and Rule Based Decision Making in Fuzzy Environment

    Directory of Open Access Journals (Sweden)

    A. Yousefli

    2014-01-01

    Full Text Available In this paper a fuzzy decision aid system is developed base on new concepts that presented in the field of fuzzy decision making in fuzzy environment (FDMFE. This framework aids decision makers to understand different circumstances of an uncertain problem that may occur in the future. Also, to keep decision maker from the optimization problem complexities, a decision support system, which can be replaced by optimization problem, is presented to make optimum or near optimum decisions without solving optimization problem directly. An application of the developed decision aid model and the decision support system is presented in the field of inventory models.

  19. Fuzzy Decision-Making Fuser (FDMF for Integrating Human-Machine Autonomous (HMA Systems with Adaptive Evidence Sources

    Directory of Open Access Journals (Sweden)

    Yu-Ting Liu

    2017-06-01

    Full Text Available A brain-computer interface (BCI creates a direct communication pathway between the human brain and an external device or system. In contrast to patient-oriented BCIs, which are intended to restore inoperative or malfunctioning aspects of the nervous system, a growing number of BCI studies focus on designing auxiliary systems that are intended for everyday use. The goal of building these BCIs is to provide capabilities that augment existing intact physical and mental capabilities. However, a key challenge to BCI research is human variability; factors such as fatigue, inattention, and stress vary both across different individuals and for the same individual over time. If these issues are addressed, autonomous systems may provide additional benefits that enhance system performance and prevent problems introduced by individual human variability. This study proposes a human-machine autonomous (HMA system that simultaneously aggregates human and machine knowledge to recognize targets in a rapid serial visual presentation (RSVP task. The HMA focuses on integrating an RSVP BCI with computer vision techniques in an image-labeling domain. A fuzzy decision-making fuser (FDMF is then applied in the HMA system to provide a natural adaptive framework for evidence-based inference by incorporating an integrated summary of the available evidence (i.e., human and machine decisions and associated uncertainty. Consequently, the HMA system dynamically aggregates decisions involving uncertainties from both human and autonomous agents. The collaborative decisions made by an HMA system can achieve and maintain superior performance more efficiently than either the human or autonomous agents can achieve independently. The experimental results shown in this study suggest that the proposed HMA system with the FDMF can effectively fuse decisions from human brain activities and the computer vision techniques to improve overall performance on the RSVP recognition task. This

  20. The Integrated Medical Model: A Risk Assessment and Decision Support Tool for Human Space Flight Missions

    Science.gov (United States)

    Kerstman, Eric L.; Minard, Charles; FreiredeCarvalho, Mary H.; Walton, Marlei E.; Myers, Jerry G., Jr.; Saile, Lynn G.; Lopez, Vilma; Butler, Douglas J.; Johnson-Throop, Kathy A.

    2011-01-01

    This slide presentation reviews the Integrated Medical Model (IMM) and its use as a risk assessment and decision support tool for human space flight missions. The IMM is an integrated, quantified, evidence-based decision support tool useful to NASA crew health and mission planners. It is intended to assist in optimizing crew health, safety and mission success within the constraints of the space flight environment for in-flight operations. It uses ISS data to assist in planning for the Exploration Program and it is not intended to assist in post flight research. The IMM was used to update Probability Risk Assessment (PRA) for the purpose of updating forecasts for the conditions requiring evacuation (EVAC) or Loss of Crew Life (LOC) for the ISS. The IMM validation approach includes comparison with actual events and involves both qualitative and quantitaive approaches. The results of these comparisons are reviewed. Another use of the IMM is to optimize the medical kits taking into consideration the specific mission and the crew profile. An example of the use of the IMM to optimize the medical kits is reviewed.

  1. A Simple Decision Rule for Recognition of Poly(A) Tail Signal Motifs in Human Genome

    KAUST Repository

    AbouEisha, Hassan M.

    2015-05-12

    Background is the numerous attempts were made to predict motifs in genomic sequences that correspond to poly (A) tail signals. Vast portion of this effort has been directed to a plethora of nonlinear classification methods. Even when such approaches yield good discriminant results, identifying dominant features of regulatory mechanisms nevertheless remains a challenge. In this work, we look at decision rules that may help identifying such features. Findings are we present a simple decision rule for classification of candidate poly (A) tail signal motifs in human genomic sequence obtained by evaluating features during the construction of gradient boosted trees. We found that values of a single feature based on the frequency of adenine in the genomic sequence surrounding candidate signal and the number of consecutive adenine molecules in a well-defined region immediately following the motif displays good discriminative potential in classification of poly (A) tail motifs for samples covered by the rule. Conclusions is the resulting simple rule can be used as an efficient filter in construction of more complex poly(A) tail motifs classification algorithms.

  2. Computer simulation of leadership, consensus decision making and collective behaviour in humans.

    Science.gov (United States)

    Wu, Song; Sun, Quanbin

    2014-01-01

    The aim of this study is to evaluate the reliability of a crowd simulation model developed by the authors by reproducing Dyer et al.'s experiments (published in Philosophical Transactions in 2009) on human leadership and consensus decision making in a computer-based environment. The theoretical crowd model of the simulation environment is presented, and its results are compared and analysed against Dyer et al.'s original experiments. It is concluded that the simulation results are largely consistent with the experiments, which demonstrates the reliability of the crowd model. Furthermore, the simulation data also reveals several additional new findings, namely: 1) the phenomena of sacrificing accuracy to reach a quicker consensus decision found in ants colonies was also discovered in the simulation; 2) the ability of reaching consensus in groups has a direct impact on the time and accuracy of arriving at the target position; 3) the positions of the informed individuals or leaders in the crowd could have significant impact on the overall crowd movement; and 4) the simulation also confirmed Dyer et al.'s anecdotal evidence of the proportion of the leadership in large crowds and its effect on crowd movement. The potential applications of these findings are highlighted in the final discussion of this paper.

  3. Computer simulation of leadership, consensus decision making and collective behaviour in humans.

    Directory of Open Access Journals (Sweden)

    Song Wu

    Full Text Available The aim of this study is to evaluate the reliability of a crowd simulation model developed by the authors by reproducing Dyer et al.'s experiments (published in Philosophical Transactions in 2009 on human leadership and consensus decision making in a computer-based environment. The theoretical crowd model of the simulation environment is presented, and its results are compared and analysed against Dyer et al.'s original experiments. It is concluded that the simulation results are largely consistent with the experiments, which demonstrates the reliability of the crowd model. Furthermore, the simulation data also reveals several additional new findings, namely: 1 the phenomena of sacrificing accuracy to reach a quicker consensus decision found in ants colonies was also discovered in the simulation; 2 the ability of reaching consensus in groups has a direct impact on the time and accuracy of arriving at the target position; 3 the positions of the informed individuals or leaders in the crowd could have significant impact on the overall crowd movement; and 4 the simulation also confirmed Dyer et al.'s anecdotal evidence of the proportion of the leadership in large crowds and its effect on crowd movement. The potential applications of these findings are highlighted in the final discussion of this paper.

  4. Modelling Interactions between forest pest invasions and human decisions regarding firewood transport restrictions.

    Directory of Open Access Journals (Sweden)

    Lee-Ann Barlow

    Full Text Available The invasion of nonnative, wood-boring insects such as the Asian longhorned beetle (A. glabripennis and the emerald ash borer (A. planipennis is a serious ecological and economic threat to Canadian deciduous and mixed-wood forests. Humans act as a major vector for the spread of these pests via firewood transport, although existing models do not explicitly capture human decision-making regarding firewood transport. In this paper we present a two-patch coupled human-environment system model that includes social influence and long-distance firewood transport and examines potential strategies for mitigating pest spread. We found that increasing concern regarding infestations (f significantly reduced infestation. Additionally it resulted in multiple thresholds at which the intensity of infestation in a patch was decreased. It was also found that a decrease in the cost of firewood purchased in the area where it is supposed to be burned (Cl resulted in an increased proportion of local-firewood strategists, and a 67% decrease in Cl from $6.75 to $4.50 was sufficient to eliminate crosspatch infestation. These effects are synergistic: increasing concern through awareness and education campaigns acts together with reduced firewood costs, thereby reducing the required threshold of both awareness and economic incentives. Our results indicate that the best management strategy includes a combination of public education paired with firewood subsidization.

  5. Human decision making in future ATC systems comparative studies in distributed traffic management

    Science.gov (United States)

    Kreifeldt, J. G.; Wempe, T. E.

    1974-01-01

    Seven different human-centered alternatives for distributing traffic management responsibility between air and ground in the terminal area were simulated and evaluated at NASA-Ames Research Center in the man-machine integration branch. The alternatives differed in three divisions of decision-making responsibility ranging from completely ground-centered to completely air-centered and in the amount of information presented to the pilots via traffic situation displays (TSD). Objective, verbal and subjective measures of system performance, workloads, preferences, etc., were obtained. Based on the task and corresponding measures, the ground-centered (vectoring) alternative was the least favorable. Best overall performance was achieved and preferred with a moderate division of responsibility in which controllers issued sequence order only and pilots used a TSD with 30 sec path predictors on their own aircraft. Speculations on the use of the results in context of a ground-centralized system failure and for future ATC systems are presented.

  6. Human decision making in future ATC systems comparative studies in distributed traffic management

    Science.gov (United States)

    Kreifeldt, J. G.; Wempe, T. E.

    1974-01-01

    Seven different human-centered alternatives for distributing traffic management responsibility between air and ground in the terminal area were simulated and evaluated at NASA-Ames Research Center in the man-machine integration branch. The alternatives differed in three divisions of decision-making responsibility ranging from completely ground-centered to completely air-centered and in the amount of information presented to the pilots via traffic situation displays (TSD). Objective, verbal and subjective measures of system performance, workloads, preferences, etc., were obtained. Based on the task and corresponding measures, the ground-centered (vectoring) alternative was the least favorable. Best overall performance was achieved and preferred with a moderate division of responsibility in which controllers issued sequence order only and pilots used a TSD with 30 sec path predictors on their own aircraft. Speculations on the use of the results in context of a ground-centralized system failure and for future ATC systems are presented.

  7. Toxicology research for precautionary decision-making and the role of Human & Experimental Toxicology

    DEFF Research Database (Denmark)

    Grandjean, P

    2015-01-01

    existing research on toxic hazards that have already been well characterized. Several sources of bias towards the null hypothesis can affect toxicology research, but are generally not considered, thus adding to the current inclination to avoid false positive findings. In this regard, toxicology......A key aim of toxicology is the prevention of adverse effects due to toxic hazards. Therefore, the dissemination of toxicology research findings must confront two important challenges: one being the lack of information on the vast majority of potentially toxic industrial chemicals and the other...... being the strict criteria for scientific proof usually required for decision-making in regard to prevention. The present study ascertains the coverage of environmental chemicals in four volumes of Human & Experimental Toxicology and the presentation and interpretation of research findings in published...

  8. Effect of time pressure and human judgment on decision making in three public sector organizations of Pakistan

    Directory of Open Access Journals (Sweden)

    Rizwan Saleem

    2011-02-01

    Full Text Available This study attempts to widen the effect of time pressure and human judgment on decision making. A census of three organizations named Project Management Organization (PMO, Accountant General Pakistan Revenues (AGPR and Controller General of Accountant (CGA was occupied. To demeanor this study a questionnaire tagged Decision Making, Time Pressure and Human Judgment was used for the assortment of data. The questionnaire was predominantly designed to accomplish the objectives of the study. The total number of observations was eighty two and the Arithmetic Mean Score of decision making, time pressure and human judgment were 2.532, 2.527 and 2.395 respectively. The significance level of the model was 0.000 which illustrates maximum significant level. As p-value is less than .05 so it can be assumed that the variables elected for the study are decidedly significant.

  9. Strategic control and interests, its effects on decision outcomes

    NARCIS (Netherlands)

    Stokman, FN; Stokman, JV

    1995-01-01

    In political systems and large organizations, ultimate decision makers are usually just a small subset of all actors in the social system. To arrive at acceptable decisions, decision makers have to take into account the preferences of other actors in the system. Typically preferences of more interes

  10. An Introduction to Solar Decision-Making Tools

    Energy Technology Data Exchange (ETDEWEB)

    Mow, Benjamin [National Renewable Energy Laboratory (NREL), Golden, CO (United States)

    2017-09-12

    The National Renewable Energy Laboratory (NREL) offers a variety of models and analysis tools to help decision makers evaluate and make informed decisions about solar projects, policies, and programs. This fact sheet aims to help decision makers determine which NREL tool to use for a given solar project or policy question, depending on its scope.

  11. Evaluating the link between human resource management decisions and patient satisfaction with quality of care.

    Science.gov (United States)

    Oppel, Eva-Maria; Winter, Vera; Schreyögg, Jonas

    Patient satisfaction with quality of care is becoming increasingly important in the competitive hospital market. Simultaneously, the growing shortage of clinical staff poses a considerable challenge to ensuring a high quality of care. In this context, a question emerges regarding whether and how human resource management (HRM) might serve as a means to reduce staff shortage problems and to increase patient satisfaction. Although considerable efforts have been devoted to understanding the concepts of patient satisfaction and HRM, little is known about the interrelationships between these concepts or about the link between staff shortage problems and patients' satisfaction with quality of care. The aim of this study was to investigate the relationship between strategic human resource management (SHRM), staff shortage problems, and patients' satisfaction with care. Furthermore, we analyze how the HRM decision to fill short-term vacancies through temporary staffing affects patient satisfaction. We differentiate between physicians and nurses. We develop and empirically test a theoretical model. The data (n = 165) are derived from a survey on SHRM that was sent to 732 German hospitals and from a survey on patient satisfaction that comprises 436,848 patient satisfaction ratings. We use a structural equation modeling approach to test the model. The results indicate that SHRM significantly reduces staff shortage problems for both occupational groups. Having fewer physician shortage problems is significantly associated with higher levels of patient satisfaction, whereas this effect is not significant for nurses. Furthermore, the use of temporary staffing considerably reduces patients' satisfaction with care. Hospital managers are advised to consider the effects of HRM decisions on patients' satisfaction with care. In particular, investments in SHRM targeted at physicians have significantly positive effects on patient satisfaction, whereas the temporary staffing of physicians

  12. National policy-makers speak out: are researchers giving them what they need?

    Science.gov (United States)

    Hyder, Adnan A; Corluka, Adrijana; Winch, Peter J; El-Shinnawy, Azza; Ghassany, Harith; Malekafzali, Hossein; Lim, Meng-Kin; Mfutso-Bengo, Joseph; Segura, Elsa; Ghaffar, Abdul

    2011-01-01

    The objective of this empirical study was to understand the perspectives and attitudes of policy-makers towards the use and impact of research in the health sector in low- and middle-income countries. The study used data from 83 semi-structured, in-depth interviews conducted with purposively selected policy-makers at the national level in Argentina, Egypt, Iran, Malawi, Oman and Singapore. The interviews were structured around an interview guide developed based on existing literature and in consultation with all six country investigators. Transcripts were processed using a thematic-analysis approach. Policy-makers interviewed for this study were unequivocal in their support for health research and the high value they attribute to it. However, they stated that there were structural and informal barriers to research contributing to policy processes, to the contribution research makes to knowledge generally, and to the use of research in health decision-making specifically. Major findings regarding barriers to evidence-based policy-making included poor communication and dissemination, lack of technical capacity in policy processes, as well as the influence of the political context. Policy-makers had a variable understanding of economic analysis, equity and burden of disease measures, and were vague in terms of their use in national decisions. Policy-maker recommendations regarding strategies for facilitating the uptake of research into policy included improving the technical capacity of policy-makers, better packaging of research results, use of social networks, and establishment of fora and clearinghouse functions to help assist in evidence-based policy-making.

  13. A threshold for the Maker-Breaker clique game

    NARCIS (Netherlands)

    Muller, Tobias; Stojakovic, Milos

    2014-01-01

    We study the Maker-Breaker k-clique game played on the edge set of the random graph G(n, p). In this game, two players, Maker and Breaker, alternately claim unclaimed edges of G(n, p), until all the edges are claimed. Maker wins if he claims all the edges of a k-clique; Breaker wins otherwise. We de

  14. Juego de rol usando RPG Maker

    OpenAIRE

    Tregon Muniesa, Adrià

    2009-01-01

    En la documentación del proyecto encontramos una introducción a los videojuegos, explicación del rol y sus características más relevantes, y una pincelada sobre el mercado actual de la industria española del videojuego.Los objetivos a alcanzar en la realización del proyecto. Explicación de la historia, de los personajes con sus respectivas estadísticas y un storyboard completo del juego. Explicación de las características más relevantes de RPG Maker VX, así como un diagrama de las clase...

  15. Probabilistic decision graphs for optimization under uncertainty

    DEFF Research Database (Denmark)

    Jensen, Finn V.; Nielsen, Thomas Dyhre

    2011-01-01

    This paper provides a survey on probabilistic decision graphs for modeling and solving decision problems under uncertainty. We give an introduction to influence diagrams, which is a popular framework for representing and solving sequential decision problems with a single decision maker. As the me...

  16. Rough set and rule-based multicriteria decision aiding

    Directory of Open Access Journals (Sweden)

    Roman Slowinski

    2012-08-01

    Full Text Available The aim of multicriteria decision aiding is to give the decision maker a recommendation concerning a set of objects evaluated from multiple points of view called criteria. Since a rational decision maker acts with respect to his/her value system, in order to recommend the most-preferred decision, one must identify decision maker's preferences. In this paper, we focus on preference discovery from data concerning some past decisions of the decision maker. We consider the preference model in the form of a set of "if..., then..." decision rules discovered from the data by inductive learning. To structure the data prior to induction of rules, we use the Dominance-based Rough Set Approach (DRSA. DRSA is a methodology for reasoning about data, which handles ordinal evaluations of objects on considered criteria and monotonic relationships between these evaluations and the decision. We review applications of DRSA to a large variety of multicriteria decision problems.

  17. FileMaker Pro牛刀小试

    Institute of Scientific and Technical Information of China (English)

    will

    2003-01-01

    《FileMaker Pro牛刀小试》是will写的系列FileMaker Pro简易教学,目的是向大家简单的介绍FileMaker Pro这个优秀的数据库软件,因为高版本对中文支持的问题,该系列教学使用FileMaker Pro 3.0SC作为教学案利,希望大家通过will的系列介绍文章,对FileMaker Pro 首先有一个感性的认识。

  18. Work-life Balance Decision-making of Norwegian Students: Implications for Human Resources Management

    Directory of Open Access Journals (Sweden)

    Remigiusz Gawlik

    2016-12-01

    Full Text Available Objective: The paper aims at identifying and assessing the significance of work-life balance determinants between the Youth of highly developed societies and its implications for human resources management on the example of Norway. Research Design & Methods: The research target group consists of 236 respondents recruited among Norwegian tertiary education students. It employed literature analysis, two-stage exploratory research: direct individual in-depth interviews, survey based on a self-administered, web-based questionnaire with single-answer, limited choice qualitative & quantitative, as well as explanatory research (informal moderated group discussions. Findings: The research on perceptions of determinants of quality of life and attractiveness of life strategies shows that in a country with relatively high socio-economic development level, such as Norway, differences in rankings do exist. They can be observed in relevance to both material and non-material QoL determinants. Implications & Recommendations: The study revealed a need for deeper research on individually driven early decision-making of future employees and entrepreneurs. This will result in closer modelling of socio-economic phenomena, including more accurate adaptation to trends on the labour market and creation of new business models. Contribution & Value Added: Research value added comes from the comparison of perceptions of quality of life determinants between countries at various stages of socio-economic development and its implications for human resource management.

  19. A robot safety experiment varying robot speed and contrast with human decision cost.

    Science.gov (United States)

    Etherton, J; Sneckenberger, J E

    1990-09-01

    An industrial robot safety experiment was performed to find out how quickly subjects responded to an unexpected robot motion at different speeds of the robot arm, and how frequently they failed to detect a motion that should have been detected. Robotics technicians risk being fatally injured if a robot should trap them against a fixed object. The value of the experimentation lies in its ability to show that this risk can be reduced by a design change. If the robot is moving at a slow speed, during programming and troubleshooting tasks, then the worker has sufficient time to actuate an emergency stop device before the robot can reach the person. The dependent variable in the experiment was the overrun distance (beyond an expected stopping point) that a robot arm travelled before a person actuated a stop pushbutton. Results of this experiment demonstrated that the speed of the robot arm and the implied decision cost for hitting an emergency stop button had a significant effect on human reaction time. At a fairly high level of ambient lighting (560 lux), fixed-level changes in the luminance contrast between the robot arm and its background did not significantly affect human reaction time.

  20. Communication and US-Somali Immigrant Human Papillomavirus (HPV) Vaccine Decision-Making.

    Science.gov (United States)

    Dailey, Phokeng M; Krieger, Janice L

    2017-09-01

    The current study uses a multiple goal theoretical perspective to explore how Somali immigrant families living in Ohio, USA, make decisions regarding whether to vaccinate their children against human papillomavirus (HPV)-a leading cause of cervical cancer. A focus was placed on the communication goals of parents in HPV vaccine discussions with their child and health care provider. Semi-structured interviews were audiotaped, transcribed, and analyzed using a grounded theory approach. Key themes are the implications of the vaccine for early sexual activity, confusion between HPV and HIV (human immunodeficiency virus), the perception that the HPV vaccine is unnecessary, uncertainty about the vaccine's efficacy and side effects, avoidance of parent-child communication about the vaccine, and a preference for framing the vaccine as a health promotion behavior. Framing the threat of HPV in the context of initiation of sexual activity, uncertainty regarding vaccine efficacy, and anticipated regret account for the inconsistency in HPV vaccine uptake among Somali parents. Clinicians should consider talking about HPV as a distal versus an immediate threat and HPV vaccine uptake as a health-promotion behavior rather than a sexually transmitted infection prevention behavior.

  1. How we learn to make decisions: rapid propagation of reinforcement learning prediction errors in humans.

    Science.gov (United States)

    Krigolson, Olav E; Hassall, Cameron D; Handy, Todd C

    2014-03-01

    Our ability to make decisions is predicated upon our knowledge of the outcomes of the actions available to us. Reinforcement learning theory posits that actions followed by a reward or punishment acquire value through the computation of prediction errors-discrepancies between the predicted and the actual reward. A multitude of neuroimaging studies have demonstrated that rewards and punishments evoke neural responses that appear to reflect reinforcement learning prediction errors [e.g., Krigolson, O. E., Pierce, L. J., Holroyd, C. B., & Tanaka, J. W. Learning to become an expert: Reinforcement learning and the acquisition of perceptual expertise. Journal of Cognitive Neuroscience, 21, 1833-1840, 2009; Bayer, H. M., & Glimcher, P. W. Midbrain dopamine neurons encode a quantitative reward prediction error signal. Neuron, 47, 129-141, 2005; O'Doherty, J. P. Reward representations and reward-related learning in the human brain: Insights from neuroimaging. Current Opinion in Neurobiology, 14, 769-776, 2004; Holroyd, C. B., & Coles, M. G. H. The neural basis of human error processing: Reinforcement learning, dopamine, and the error-related negativity. Psychological Review, 109, 679-709, 2002]. Here, we used the brain ERP technique to demonstrate that not only do rewards elicit a neural response akin to a prediction error but also that this signal rapidly diminished and propagated to the time of choice presentation with learning. Specifically, in a simple, learnable gambling task, we show that novel rewards elicited a feedback error-related negativity that rapidly decreased in amplitude with learning. Furthermore, we demonstrate the existence of a reward positivity at choice presentation, a previously unreported ERP component that has a similar timing and topography as the feedback error-related negativity that increased in amplitude with learning. The pattern of results we observed mirrored the output of a computational model that we implemented to compute reward

  2. Choice Task Complexity and Decision Strategy Selection

    OpenAIRE

    Swait, Joffre; Adamowicz, Wiktor L.

    1997-01-01

    The psychology, the marketing consumer behavior and, to a much smaller extent, the economics literature have long reported evidence that decision makers utilize different decision strategies depending upon many factors (person-specific, task-specific, etc.). Such observations have generally failed to affect the specification of choice models in commercial practice and academic research, both of which still tend to assume an utility maximizing, full information, indefatigable decision maker. T...

  3. Mathematical Decision Models Applied for Qualifying and Planning Areas Considering Natural Hazards and Human Dealing

    Science.gov (United States)

    Anton, Jose M.; Grau, Juan B.; Tarquis, Ana M.; Sanchez, Elena; Andina, Diego

    2014-05-01

    The authors were involved in the use of some Mathematical Decision Models, MDM, to improve knowledge and planning about some large natural or administrative areas for which natural soils, climate, and agro and forest uses where main factors, but human resources and results were important, natural hazards being relevant. In one line they have contributed about qualification of lands of the Community of Madrid, CM, administrative area in centre of Spain containing at North a band of mountains, in centre part of Iberian plateau and river terraces, and also Madrid metropolis, from an official study of UPM for CM qualifying lands using a FAO model from requiring minimums of a whole set of Soil Science criteria. The authors set first from these criteria a complementary additive qualification, and tried later an intermediate qualification from both using fuzzy logic. The authors were also involved, together with colleagues from Argentina et al. that are in relation with local planners, for the consideration of regions and of election of management entities for them. At these general levels they have adopted multi-criteria MDM, used a weighted PROMETHEE, and also an ELECTRE-I with the same elicited weights for the criteria and data, and at side AHP using Expert Choice from parallel comparisons among similar criteria structured in two levels. The alternatives depend on the case study, and these areas with monsoon climates have natural hazards that are decisive for their election and qualification with an initial matrix used for ELECTRE and PROMETHEE. For the natural area of Arroyos Menores at South of Rio Cuarto town, with at North the subarea of La Colacha, the loess lands are rich but suffer now from water erosions forming regressive ditches that are spoiling them, and use of soils alternatives must consider Soil Conservation and Hydraulic Management actions. The use of soils may be in diverse non compatible ways, as autochthonous forest, high value forest, traditional

  4. Toxicology research for precautionary decision-making and the role of Human & Experimental Toxicology.

    Science.gov (United States)

    Grandjean, P

    2015-12-01

    A key aim of toxicology is the prevention of adverse effects due to toxic hazards. Therefore, the dissemination of toxicology research findings must confront two important challenges: one being the lack of information on the vast majority of potentially toxic industrial chemicals and the other being the strict criteria for scientific proof usually required for decision-making in regard to prevention. The present study ascertains the coverage of environmental chemicals in four volumes of Human & Experimental Toxicology and the presentation and interpretation of research findings in published articles. Links in SciFinder showed that the 530 articles published in four selected volumes between 1984 and 2014 primarily dealt with metals (126 links) and other toxicants that have received substantial attention in the past. Thirteen compounds identified by US authorities in 2006 as high-priority substances, for which toxicology documentation is badly needed, were not covered in the journal issues at all. When reviewing published articles, reliance on p values was standard, and non-significant findings were often called 'negative.' This tradition may contribute to the perceived need to extend existing research on toxic hazards that have already been well characterized. Several sources of bias towards the null hypothesis can affect toxicology research, but are generally not considered, thus adding to the current inclination to avoid false positive findings. In this regard, toxicology is particularly prone to bias because of the known paucity of false positives and, in particular, the existence of a vast number of toxic hazards which by default are considered innocuous due to lack of documentation. The Precautionary Principle could inspire decision-making on the basis of incomplete documentation and should stimulate a change in toxicology traditions and in toxicology research publication.

  5. The Nature of Belief-Directed Exploratory Choice in Human Decision-Making

    Directory of Open Access Journals (Sweden)

    W. Bradley Knox

    2012-01-01

    Full Text Available In non-stationary environments, there is a conflict between exploiting currently favored options and gaining information by exploring lesser-known options that in the past have proven less rewarding. Optimal decision making in such tasks requires considering future states of the environment (i.e., planning and properly updating beliefs about the state of environment after observing outcomes associated with choices. Optimal belief-updating is reflective in that beliefs can change without directly observing environmental change. For example, after ten seconds elapse, one might correctly believe that a traffic light last observed to be red is now more likely to be green. To understand human decision-making when rewards associated with choice options change over time, we develop a variant of the classic bandit task that is both rich enough to encompass relevant phenomena and sufficiently tractable to allow for ideal actor analysis of sequential choice behavior. We evaluate whether people update beliefs about the state of environment in a reflexive (i.e., only in response to observed changes in reward structure or reflective manner. In contrast to purely "random" accounts of exploratory behavior, model-based analyses of the subjects’ choices and latencies indicate that people are reflective belief-updaters. However, unlike the Ideal Actor model, our analyses indicate that people's choice behavior does not reflect consideration of future environmental states. Thus, although people update beliefs in a reflective manner consistent with the ideal actor, they do not engage in optimal long-term planning, but instead myopically choose the option on every trial that is believed to have the highest immediate payoff.

  6. A simple artificial life model explains irrational behavior in human decision-making.

    Directory of Open Access Journals (Sweden)

    Carolina Feher da Silva

    Full Text Available Although praised for their rationality, humans often make poor decisions, even in simple situations. In the repeated binary choice experiment, an individual has to choose repeatedly between the same two alternatives, where a reward is assigned to one of them with fixed probability. The optimal strategy is to perseverate with choosing the alternative with the best expected return. Whereas many species perseverate, humans tend to match the frequencies of their choices to the frequencies of the alternatives, a sub-optimal strategy known as probability matching. Our goal was to find the primary cognitive constraints under which a set of simple evolutionary rules can lead to such contrasting behaviors. We simulated the evolution of artificial populations, wherein the fitness of each animat (artificial animal depended on its ability to predict the next element of a sequence made up of a repeating binary string of varying size. When the string was short relative to the animats' neural capacity, they could learn it and correctly predict the next element of the sequence. When it was long, they could not learn it, turning to the next best option: to perseverate. Animats from the last generation then performed the task of predicting the next element of a non-periodical binary sequence. We found that, whereas animats with smaller neural capacity kept perseverating with the best alternative as before, animats with larger neural capacity, which had previously been able to learn the pattern of repeating strings, adopted probability matching, being outperformed by the perseverating animats. Our results demonstrate how the ability to make predictions in an environment endowed with regular patterns may lead to probability matching under less structured conditions. They point to probability matching as a likely by-product of adaptive cognitive strategies that were crucial in human evolution, but may lead to sub-optimal performances in other environments.

  7. Making better decisions in uncertain times (Invited)

    Science.gov (United States)

    St John, C.

    2013-12-01

    Scientific information about climate change and other human impacts on the environment are increasingly available and sought after (often in the form of probabilistic forecasts or technical information related to engineering solutions). However, it is increasingly apparent that there are barriers to the use of this information by decision makers - either from its lack of application altogether, its usability for people without scientific backgrounds, or its ability to inform sound decisions and widespread behavior change. While the argument has been made that an information deficit is to blame, we argue that there is also a motivation deficit contributing to a lack of understanding of information about climate change impacts and solutions. Utilizing insight from over thirty years of research in social and cognitive psychology, in addition to other social sciences, the Center for Research on Environmental Decisions (CRED) seeks to understand how people make environmental decisions under conditions of uncertainty, and how these decisions can be improved. This presentation will focus specifically on recent research that has come forth since the 2009 publication of CRED's popular guide 'The Psychology of Climate Change Communication: A Guide for Scientists, Journalists, Educators, Political Aides, and the Interested Public.' Utilizing case studies from real world examples, this talk will explore how decision making can be improved through a better understanding of how people perceive and process uncertainty and risk. It will explore techniques such as choice architecture and 'nudging' behavior change, how social goals and group participation affect decision making, and how framing of environmental information influences mitigative behavior.

  8. Challenges and opportunities for judicial protection of human rights against decisions of the United Nations Security Council

    NARCIS (Netherlands)

    Hollenberg, S.J.

    2013-01-01

    The thesis deals with the responses of domestic and regional courts when they are confronted with cases concerning individuals whose human rights are interfered with due to the implementation of UNSC decisions. The UNSC may impose, for example, economic sanction measures, or place specifically desig

  9. Evidence informed decision making

    DEFF Research Database (Denmark)

    Sharma, Tarang; Choudhury, Moni; Kaur, Bindweep

    2015-01-01

    from the literature and a combined best practice checklist has been proposed. CONCLUSIONS: As decisions often need to be made in areas where there is a lack of published scientific evidence, CE is employed. Therefore to ensure its appropriateness the development of a validated CE data quality check......-list to assist decision makers is essential and further research in this area is a priority....

  10. Arguing to motivate decisions

    NARCIS (Netherlands)

    van der Weide, T.L.|info:eu-repo/dai/nl/304833622

    2011-01-01

    Decision makers often have to make difficult trade-offs in situations where multiple aspects matter that are different by nature. For example, in a crisis scenario with a big fire in a factory, trade-offs may have to be made between the safety of the victims and personnel, and the effects on the env

  11. Split Decisions, Split Decisions

    Directory of Open Access Journals (Sweden)

    2000-01-01

    Full Text Available The lead stories in Nature and Science went in opposite directions this week. Science chose outer space, launching into NASA’s hotly disputed decision to shelve a planned mission to Pluto. Nature plunged into inner space with a story about a report to the European Commission advising against granting “premature” approval to create human embryos for stem-cell research.

  12. Mathematical Modeling of spatial disease variables by Spatial Fuzzy Logic for Spatial Decision Support Systems

    Science.gov (United States)

    Platz, M.; Rapp, J.; Groessler, M.; Niehaus, E.; Babu, A.; Soman, B.

    2014-11-01

    A Spatial Decision Support System (SDSS) provides support for decision makers and should not be viewed as replacing human intelligence with machines. Therefore it is reasonable that decision makers are able to use a feature to analyze the provided spatial decision support in detail to crosscheck the digital support of the SDSS with their own expertise. Spatial decision support is based on risk and resource maps in a Geographic Information System (GIS) with relevant layers e.g. environmental, health and socio-economic data. Spatial fuzzy logic allows the representation of spatial properties with a value of truth in the range between 0 and 1. Decision makers can refer to the visualization of the spatial truth of single risk variables of a disease. Spatial fuzzy logic rules that support the allocation of limited resources according to risk can be evaluated with measure theory on topological spaces, which allows to visualize the applicability of this rules as well in a map. Our paper is based on the concept of a spatial fuzzy logic on topological spaces that contributes to the development of an adaptive Early Warning And Response System (EWARS) providing decision support for the current or future spatial distribution of a disease. It supports the decision maker in testing interventions based on available resources and apply risk mitigation strategies and provide guidance tailored to the geo-location of the user via mobile devices. The software component of the system would be based on open source software and the software developed during this project will also be in the open source domain, so that an open community can build on the results and tailor further work to regional or international requirements and constraints. A freely available EWARS Spatial Fuzzy Logic Demo was developed wich enables a user to visualize risk and resource maps based on individual data in several data formats.

  13. Perspectives on decision making about human papillomavirus vaccination among 11- to 12-year-old girls and their mothers.

    Science.gov (United States)

    Griffioen, Anne M; Glynn, Susan; Mullins, Tanya K; Zimet, Gregory D; Rosenthal, Susan L; Fortenberry, J Dennis; Kahn, Jessica A

    2012-06-01

    Introduction. The aims of this qualitative study were to explore (a) the factors influencing mothers' decisions to vaccinate 11- to 12-year-old daughters against human papillomavirus (HPV) and (b) the mothers' and daughters' perspectives about HPV vaccine-related decision making. Methods. Participants were girls (N = 33) who had received an HPV vaccine and their mothers (N = 32), recruited from suburban and urban pediatric practices. Semistructured interviews were conducted with girls and mothers separately, and data were analyzed using framework analysis. Results. The primary factors influencing mothers' decisions to vaccinate daughters against HPV were (a) mother's beliefs and experiences; (b) interactions with clinicians, friends, and family members; and (c) exposure to media reports/marketing. Most daughters believed the decision to be vaccinated was a mutual one, although most mothers believed the decision was theirs. Conclusions. This study provides novel insights into perspectives on decision making about HPV vaccination among mothers and 11- to12-year-old daughters, which can be used in interventions to improve vaccination rates.

  14. Standardizing Benchmark Dose Calculations to Improve Science-Based Decisions in Human Health Assessments

    Science.gov (United States)

    Wignall, Jessica A.; Shapiro, Andrew J.; Wright, Fred A.; Woodruff, Tracey J.; Chiu, Weihsueh A.; Guyton, Kathryn Z.

    2014-01-01

    Background: Benchmark dose (BMD) modeling computes the dose associated with a prespecified response level. While offering advantages over traditional points of departure (PODs), such as no-observed-adverse-effect-levels (NOAELs), BMD methods have lacked consistency and transparency in application, interpretation, and reporting in human health assessments of chemicals. Objectives: We aimed to apply a standardized process for conducting BMD modeling to reduce inconsistencies in model fitting and selection. Methods: We evaluated 880 dose–response data sets for 352 environmental chemicals with existing human health assessments. We calculated benchmark doses and their lower limits [10% extra risk, or change in the mean equal to 1 SD (BMD/L10/1SD)] for each chemical in a standardized way with prespecified criteria for model fit acceptance. We identified study design features associated with acceptable model fits. Results: We derived values for 255 (72%) of the chemicals. Batch-calculated BMD/L10/1SD values were significantly and highly correlated (R2 of 0.95 and 0.83, respectively, n = 42) with PODs previously used in human health assessments, with values similar to reported NOAELs. Specifically, the median ratio of BMDs10/1SD:NOAELs was 1.96, and the median ratio of BMDLs10/1SD:NOAELs was 0.89. We also observed a significant trend of increasing model viability with increasing number of dose groups. Conclusions: BMD/L10/1SD values can be calculated in a standardized way for use in health assessments on a large number of chemicals and critical effects. This facilitates the exploration of health effects across multiple studies of a given chemical or, when chemicals need to be compared, providing greater transparency and efficiency than current approaches. Citation: Wignall JA, Shapiro AJ, Wright FA, Woodruff TJ, Chiu WA, Guyton KZ, Rusyn I. 2014. Standardizing benchmark dose calculations to improve science-based decisions in human health assessments. Environ Health

  15. Research on Collaboration Decision Design of Complex C2 System

    Institute of Scientific and Technical Information of China (English)

    BU Xian-jin; DONG Wen-hong; SHAN Yue-chun; SHA Ji-chang

    2008-01-01

    The design of collaboration decision of C2 system is one of the puzzles which dicision science studies in complex system. To solve the contravention between the theory of collaboration decision design and development requirement in distributed C2 system, three-stage design approach is proposed to research coherence and optimization by which decision-maker carries out decision regulations. First, getting information and decision process are described;decision indexes and regulation modds of collaboration are established. And then, a test circumstance is designed and established for measuring various decision-maker's capabilities of carrying out decision regulation by simulation and getting their load capability pa-rameters. Finally, the obtained parameters from the experiment are disposed and substituted into the original models for proving the coherence of decision regulations. As a result, it is feasible for three-stage approach to design collaboration de-cision, and decision regulations can satisfy various decision-maker requirements.

  16. Neural correlates of forward planning in a spatial decision task in humans

    Science.gov (United States)

    Simon, Dylan Alexander; Daw, Nathaniel D.

    2011-01-01

    Although reinforcement learning (RL) theories have been influential in characterizing the brain’s mechanisms for reward-guided choice, the predominant temporal difference (TD) algorithm cannot explain many flexible or goal-directed actions that have been demonstrated behaviorally. We investigate such actions by contrasting an RL algorithm that is model-based, in that it relies on learning a map or model of the task and planning within it, to traditional model-free TD learning. To distinguish these approaches in humans, we used fMRI in a continuous spatial navigation task, in which frequent changes to the layout of the maze forced subjects continually to relearn their favored routes, thereby exposing the RL mechanisms employed. We sought evidence for the neural substrates of such mechanisms by comparing choice behavior and BOLD signals to decision variables extracted from simulations of either algorithm. Both choices and value-related BOLD signals in striatum, though most often associated with TD learning, were better explained by the model-based theory. Further, predecessor quantities for the model-based value computation were correlated with BOLD signals in the medial temporal lobe and frontal cortex. These results point to a significant extension of both the computational and anatomical substrates for RL in the brain. PMID:21471389

  17. Reduced sensitivity to sooner reward during intertemporal decision-making following insula damage in humans

    Directory of Open Access Journals (Sweden)

    Manuela eSellitto

    2016-01-01

    Full Text Available During intertemporal choice, humans tend to prefer small-sooner rewards over larger-delayed rewards, reflecting temporal discounting (TD of delayed outcomes. Functional neuroimaging evidence has implicated the insular cortex in time-sensitive decisions, yet it is not clear whether activity in this brain region is crucial for, or merely associated with, TD behaviour. Here, patients with damage to the insula (Insular patients, control patients with lesions outside the insula, and healthy individuals chose between smaller-sooner and larger-later monetary rewards. Insular patients were less sensitive to sooner rewards than were the control groups, exhibiting reduced TD. A Voxel-based Lesion-Symptom Mapping (VLSM analysis confirmed a statistically significant association between insular damage and reduced TD. These results indicate that the insular cortex is crucial for intertemporal choice. We suggest that he insula may be necessary to anticipate the bodily/emotional effects of receiving rewards at different delays, influencing the computation of their incentive value. Devoid of such input, insular patients’ choices would be governed by a heuristic of quantity, allowing patients to wait for larger options.

  18. Parents' decision-making about the human papillomavirus vaccine for their daughters: I. Quantitative results.

    Science.gov (United States)

    Krawczyk, Andrea; Knäuper, Bärbel; Gilca, Vladimir; Dubé, Eve; Perez, Samara; Joyal-Desmarais, Keven; Rosberger, Zeev

    2015-01-01

    Vaccination against the human papillomavirus (HPV) is an effective primary prevention measure for HPV-related diseases. For children and young adolescents, the uptake of the vaccine is contingent on parental consent. This study sought to identify key differences between parents who obtain (acceptors) and parents who refuse (non-acceptors) the HPV vaccine for their daughters. In the context of a free, universal, school-based HPV vaccination program in Québec, 774 parents of 9-10 year-old girls completed and returned a questionnaire by mail. The questionnaire was based on the theoretical constructs of the Health Belief Model (HBM), along with constructs from other theoretical frameworks. Of the 774 parents, 88.2% reported their daughter having received the HPV vaccine. Perceived susceptibility of daughters to HPV infection, perceived benefits of the vaccine, perceived barriers (including safety of the vaccine), and cues to action significantly distinguished between parents whose daughters had received the HPV vaccine and those whose daughters had not. Other significant factors associated with daughter vaccine uptake were parents' general vaccination attitudes, anticipated regret, adherence to other routinely recommended vaccines, social norms, and positive media influence. The results of this study identify a number of important correlates related to parents' decisions to accept or refuse the HPV vaccine uptake for their daughters. Future work may benefit from targeting such factors and incorporating other health behavior theories in the design of effective HPV vaccine uptake interventions.

  19. Implications of the main mathematical methods on marketing decision making process

    Directory of Open Access Journals (Sweden)

    Ioana Olariu

    2012-12-01

    Full Text Available Decision analysis incorporates both the awareness of decision makers, which is located between total confidence and total ignorance and action values assigned to outcomes variants, meaning decision makers preferences. Marketing actions are often insecure. Under these conditions, to achieve the desired result, the company management shall have decision analysis models based on mathematical theories developed in recent decades. Decision analysis is the procedural and formal logic highlights include decision makers a situation and a number of techniques that determine the selection of a solution which solves the problem. Methodological approach of this process serves to form makers options.

  20. Managing Climate Policy Information Facilitating Knowledge Transfer to Policy Makers

    Directory of Open Access Journals (Sweden)

    Charikleia Karakosta

    2016-06-01

    Full Text Available In the challenging context of intense negotiations and radical developments in the field of climate policy, informing stakeholders about opportunities and pathways and about scientific insights and warnings is important to help create positive dynamics. Policy makers need digestible information to design good policies, and understand their options and the possible impacts of these options. They need access to well-structured knowledge, as well as appropriate techniques to manage information and data. However, available information is often difficult to access, not in the right format and of limited use to stakeholders. The range of knowledge needs identified has to be effectively addressed by providing interested parties with suitable, to-the-point information, covering the identified gaps. This is the main aim of this article that proposes the design and development of a climate policy database, which contains all the resources that can cover the identified knowledge gaps. The resources are derived from a broad range of existing reports, research and climate policy decisions at different levels. The goal is to render climate policy associated stakeholders able to extract key policy conclusions. The added value of this database was verified by users and stakeholders that generally argued that the climate policy database facilitates solid understanding of climate policy implications and fosters collaborative knowledge exchange in the field.

  1. Improving IT Portfolio Management Decision Confidence Using Multi-Criteria Decision Making and Hypervariate Display Techniques

    Science.gov (United States)

    Landmesser, John Andrew

    2014-01-01

    Information technology (IT) investment decision makers are required to process large volumes of complex data. An existing body of knowledge relevant to IT portfolio management (PfM), decision analysis, visual comprehension of large volumes of information, and IT investment decision making suggest Multi-Criteria Decision Making (MCDM) and…

  2. Improving IT Portfolio Management Decision Confidence Using Multi-Criteria Decision Making and Hypervariate Display Techniques

    Science.gov (United States)

    Landmesser, John Andrew

    2014-01-01

    Information technology (IT) investment decision makers are required to process large volumes of complex data. An existing body of knowledge relevant to IT portfolio management (PfM), decision analysis, visual comprehension of large volumes of information, and IT investment decision making suggest Multi-Criteria Decision Making (MCDM) and…

  3. Decision Making: A Computer-Science and Information-Technology Viewpoint

    Directory of Open Access Journals (Sweden)

    Marko Bohanec

    2009-12-01

    Full Text Available We address the phenomenon of decision making from the viewpoint of computer science and information technology. The basic question from this viewpoint is: what can the computer offer to decision makers and how it can support their work? Therefore, the main issue is to provide support to people who make complex decisions. In this article, we first present the taxonomy of disciplines that are concerned with methodological and operational aspects of decision support. At the main level, we distinguish between decision sciences, which are concerned with human decision making, and decision systems, which address computer decision making. This is followed by basic definitions related to decision processes and their components. We also describe properties that characterise different classes of decision problems. In the main part of the article, we present three prevailing approaches to decision support and give illustrative examples of their application: decision analysis, operational research, and decision support systems. Finally, we make a short overview of the area of decision systems and its achievements.

  4. FROM ENFORCEMENT TO INTEGRATION: INFUSING ADMINISTRATIVE DECISION-MAKING WITH HUMAN RIGHTS VALUES

    Directory of Open Access Journals (Sweden)

    Jennifer Raso

    2015-02-01

    Full Text Available This article proposes an integration approach to realize human rights values within administrative agencies.  Using social assistance as a factual context, it examines how rights enforcement has become the dominant mechanism for reforming government benefits programs.  Rights enforcement is ineffective at achieving the values underlying human rights codes, however, even where enforcement occurs at administrative tribunals.  Attention must therefore be directed towards efforts to infuse individual and institutional discretion with human rights values.  Given their quasi-constitutional status, such values have a key role to play in shaping the design of administrative agencies and the everyday decisions of front-line workers.    Dans ce document, l’auteur propose une approche axée sur l’intégration des droits afin d’assurer le respect des valeurs qui sous-tendent les droits de la personne à l’intérieur des organismes administratifs. En se servant de l’aide sociale comme toile de fond, l’auteur explique que la plupart des décisions discrétionnaires prises dans le cadre de l’exécution des droits ne sont pas contestées.  Les mécanismes d’exécution des droits ne permettent pas d’assurer le respect des valeurs qui sous-tendent les droits de la personne, notamment en ce qui concerne les programmes d’avantages sociaux du gouvernement. En conséquence, il faut tenter d’intégrer ces valeurs aux décisions administratives discrétionnaires prises au niveau tant personnel qu’institutionnel. En raison de leur statut quasi constitutionnel, ces valeurs ont un rôle clé à jouer pour façonner la conception des organismes administratifs et les décisions que les travailleurs de première ligne sont appelés à prendre tous les jours.

  5. Does ambiguity aversion influence the framing effect during decision making?

    Science.gov (United States)

    Osmont, Anaïs; Cassotti, Mathieu; Agogué, Marine; Houdé, Olivier; Moutier, Sylvain

    2015-04-01

    Decision-makers present a systematic tendency to avoid ambiguous options for which the level of risk is unknown. This ambiguity aversion is one of the most striking decision-making biases. Given that human choices strongly depend on the options' presentation, the purpose of the present study was to examine whether ambiguity aversion influences the framing effect during decision making. We designed a new financial decision-making task involving the manipulation of both frame and uncertainty levels. Thirty-seven participants had to choose between a sure option and a gamble depicting either clear or ambiguous probabilities. The results revealed a clear preference for the sure option in the ambiguity condition regardless of frame. However, participants presented a framing effect in both the risk and ambiguity conditions. Indeed, the framing effect was bidirectional in the risk condition and unidirectional in the ambiguity condition given that it did not involve preference reversal but only a more extreme choice tendency.

  6. Led into temptation? Rewarding brand logos bias the neural encoding of incidental economic decisions.

    Science.gov (United States)

    Murawski, Carsten; Harris, Philip G; Bode, Stefan; Domínguez D, Juan F; Egan, Gary F

    2012-01-01

    Human decision-making is driven by subjective values assigned to alternative choice options. These valuations are based on reward cues. It is unknown, however, whether complex reward cues, such as brand logos, may bias the neural encoding of subjective value in unrelated decisions. In this functional magnetic resonance imaging (fMRI) study, we subliminally presented brand logos preceding intertemporal choices. We demonstrated that priming biased participants' preferences towards more immediate rewards in the subsequent temporal discounting task. This was associated with modulations of the neural encoding of subjective values of choice options in a network of brain regions, including but not restricted to medial prefrontal cortex. Our findings demonstrate the general susceptibility of the human decision making system to apparently incidental contextual information. We conclude that the brain incorporates seemingly unrelated value information that modifies decision making outside the decision-maker's awareness.

  7. Led into temptation? Rewarding brand logos bias the neural encoding of incidental economic decisions.

    Directory of Open Access Journals (Sweden)

    Carsten Murawski

    Full Text Available Human decision-making is driven by subjective values assigned to alternative choice options. These valuations are based on reward cues. It is unknown, however, whether complex reward cues, such as brand logos, may bias the neural encoding of subjective value in unrelated decisions. In this functional magnetic resonance imaging (fMRI study, we subliminally presented brand logos preceding intertemporal choices. We demonstrated that priming biased participants' preferences towards more immediate rewards in the subsequent temporal discounting task. This was associated with modulations of the neural encoding of subjective values of choice options in a network of brain regions, including but not restricted to medial prefrontal cortex. Our findings demonstrate the general susceptibility of the human decision making system to apparently incidental contextual information. We conclude that the brain incorporates seemingly unrelated value information that modifies decision making outside the decision-maker's awareness.

  8. Human decision making based on variations in internal noise: an EEG study.

    Directory of Open Access Journals (Sweden)

    Sygal Amitay

    Full Text Available Perceptual decision making is prone to errors, especially near threshold. Physiological, behavioural and modeling studies suggest this is due to the intrinsic or 'internal' noise in neural systems, which derives from a mixture of bottom-up and top-down sources. We show here that internal noise can form the basis of perceptual decision making when the external signal lacks the required information for the decision. We recorded electroencephalographic (EEG activity in listeners attempting to discriminate between identical tones. Since the acoustic signal was constant, bottom-up and top-down influences were under experimental control. We found that early cortical responses to the identical stimuli varied in global field power and topography according to the perceptual decision made, and activity preceding stimulus presentation could predict both later activity and behavioural decision. Our results suggest that activity variations induced by internal noise of both sensory and cognitive origin are sufficient to drive discrimination judgments.

  9. Decision Making In A High-Tech World: Automation Bias and Countermeasures

    Science.gov (United States)

    Mosier, Kathleen L.; Skitka, Linda J.; Burdick, Mark R.; Heers, Susan T.; Rosekind, Mark R. (Technical Monitor)

    1996-01-01

    Automated decision aids and decision support systems have become essential tools in many high-tech environments. In aviation, for example, flight management systems computers not only fly the aircraft, but also calculate fuel efficient paths, detect and diagnose system malfunctions and abnormalities, and recommend or carry out decisions. Air Traffic Controllers will soon be utilizing decision support tools to help them predict and detect potential conflicts and to generate clearances. Other fields as disparate as nuclear power plants and medical diagnostics are similarly becoming more and more automated. Ideally, the combination of human decision maker and automated decision aid should result in a high-performing team, maximizing the advantages of additional cognitive and observational power in the decision-making process. In reality, however, the presence of these aids often short-circuits the way that even very experienced decision makers have traditionally handled tasks and made decisions, and introduces opportunities for new decision heuristics and biases. Results of recent research investigating the use of automated aids have indicated the presence of automation bias, that is, errors made when decision makers rely on automated cues as a heuristic replacement for vigilant information seeking and processing. Automation commission errors, i.e., errors made when decision makers inappropriately follow an automated directive, or automation omission errors, i.e., errors made when humans fail to take action or notice a problem because an automated aid fails to inform them, can result from this tendency. Evidence of the tendency to make automation-related omission and commission errors has been found in pilot self reports, in studies using pilots in flight simulations, and in non-flight decision making contexts with student samples. Considerable research has found that increasing social accountability can successfully ameliorate a broad array of cognitive biases and

  10. Cortical and hippocampal correlates of deliberation during model-based decisions for rewards in humans.

    Directory of Open Access Journals (Sweden)

    Aaron M Bornstein

    Full Text Available How do we use our memories of the past to guide decisions we've never had to make before? Although extensive work describes how the brain learns to repeat rewarded actions, decisions can also be influenced by associations between stimuli or events not directly involving reward - such as when planning routes using a cognitive map or chess moves using predicted countermoves - and these sorts of associations are critical when deciding among novel options. This process is known as model-based decision making. While the learning of environmental relations that might support model-based decisions is well studied, and separately this sort of information has been inferred to impact decisions, there is little evidence concerning the full cycle by which such associations are acquired and drive choices. Of particular interest is whether decisions are directly supported by the same mnemonic systems characterized for relational learning more generally, or instead rely on other, specialized representations. Here, building on our previous work, which isolated dual representations underlying sequential predictive learning, we directly demonstrate that one such representation, encoded by the hippocampal memory system and adjacent cortical structures, supports goal-directed decisions. Using interleaved learning and decision tasks, we monitor predictive learning directly and also trace its influence on decisions for reward. We quantitatively compare the learning processes underlying multiple behavioral and fMRI observables using computational model fits. Across both tasks, a quantitatively consistent learning process explains reaction times, choices, and both expectation- and surprise-related neural activity. The same hippocampal and ventral stream regions engaged in anticipating stimuli during learning are also engaged in proportion to the difficulty of decisions. These results support a role for predictive associations learned by the hippocampal memory system to

  11. Support Management Decisions in Small and Medium Companies

    Directory of Open Access Journals (Sweden)

    Roxana POPA STRAINU

    2015-12-01

    Full Text Available A system built to support management decisions and not only needs to be accurate and well adapted to the requirements of the decision and the variables involved in it, and this happens because a decision is still a human act in any type of business and institution. We can say that a decision support system has a part in it that cannot be determined by any software: the human decision which is not a determinist act. It depends on a lot of variables but also still involves the decision maker intuition and experience. This is why an important problem emerged to be discussed in this paper: the need to implement and develop an in house solution to help management decisions and not only, using existing tools and this with no additional fees. This can be a good opportunity to discover models and solutions. An identified solution using Microsoft Excel and Access is discussed in this paper and a model applied on a case study will be presented. The results of the case study showed a real support in making decisions and a better transparency in manipulating the data, improving also the time needed to collect, transform and present data. The model can be applied in any type of problem that needs a visual presentation of data as well as in situations that need working with a large amount of data, but especially in small and medium size companies.

  12. Warfighter decision making performance analysis as an investment priority driver

    Science.gov (United States)

    Thornley, David J.; Dean, David F.; Kirk, James C.

    2010-04-01

    Estimating the relative value of alternative tactics, techniques and procedures (TTP) and information systems requires measures of the costs and benefits of each, and methods for combining and comparing those measures. The NATO Code of Best Practice for Command and Control Assessment explains that decision making quality would ideally be best assessed on outcomes. Lessons learned in practice can be assessed statistically to support this, but experimentation with alternate measures in live conflict is undesirable. To this end, the development of practical experimentation to parameterize effective constructive simulation and analytic modelling for system utility prediction is desirable. The Land Battlespace Systems Department of Dstl has modeled human development of situational awareness to support constructive simulation by empirically discovering how evidence is weighed according to circumstance, personality, training and briefing. The human decision maker (DM) provides the backbone of the information processing activity associated with military engagements because of inherent uncertainty associated with combat operations. To develop methods for representing the process in order to assess equipment and non-technological interventions such as training and TTPs we are developing componentized or modularized timed analytic stochastic model components and instruments as part of a framework to support quantitative assessment of intelligence production and consumption methods in a human decision maker-centric mission space. In this paper, we formulate an abstraction of the human intelligence fusion process from the Defence Science and Technology Laboratory's (Dstl's) INCIDER model to include in our framework, and synthesize relevant cost and benefit characteristics.

  13. A GIS-based approach for the long-term prediction of human health risks at contaminated sites

    NARCIS (Netherlands)

    Bien, J.D.; Meer, J.; Rulkens, W.H.; Rijnaarts, H.H.M.

    2004-01-01

    A Health Index/Risk Evaluation Tool (HIRET) has been developed for the integration of risk assessment and spatial planning using GIS capabilities. The method is meant to assist decision makers and site owners in the evaluation of potential human health risk with respect to land use. Human health

  14. Modelling risk aversion to support decision-making for controlling zoonotic livestock diseases.

    Science.gov (United States)

    van Asseldonk, M A P M; Bergevoet, R H M; Ge, L

    2013-12-01

    Zoonotic infectious livestock diseases are becoming a significant burden for both animal and human health and are rapidly gaining the attention of decision-makers who manage public health programmes. If control decisions have only monetary components, governments are generally regarded as being risk-neutral and the intervention strategy with the highest expected benefit (lowest expected net costs) should be preferred. However, preferences will differ and alternative intervention plans will prevail if (human) life and death outcomes are involved. A rational decision framework must therefore consider risk aversion in the decision-maker and controversial values related to public health. In the present study, risk aversion and its impact on both the utility for the monetary component and the utility for the non-monetary component is shown to be an important element when dealing with emerging zoonotic infectious livestock diseases and should not be ignored in the understanding and support of decision-making. The decision framework was applied to several control strategies for the reduction of human cases of brucellosis (Brucella melitensis) originating from sheep in Turkey.

  15. Evolution of quantum-like modeling in decision making processes

    Science.gov (United States)

    Khrennikova, Polina

    2012-12-01

    The application of the mathematical formalism of quantum mechanics to model behavioral patterns in social science and economics is a novel and constantly emerging field. The aim of the so called 'quantum like' models is to model the decision making processes in a macroscopic setting, capturing the particular 'context' in which the decisions are taken. Several subsequent empirical findings proved that when making a decision people tend to violate the axioms of expected utility theory and Savage's Sure Thing principle, thus violating the law of total probability. A quantum probability formula was devised to describe more accurately the decision making processes. A next step in the development of QL-modeling in decision making was the application of Schrödinger equation to describe the evolution of people's mental states. A shortcoming of Schrödinger equation is its inability to capture dynamics of an open system; the brain of the decision maker can be regarded as such, actively interacting with the external environment. Recently the master equation, by which quantum physics describes the process of decoherence as the result of interaction of the mental state with the environmental 'bath', was introduced for modeling the human decision making. The external environment and memory can be referred to as a complex 'context' influencing the final decision outcomes. The master equation can be considered as a pioneering and promising apparatus for modeling the dynamics of decision making in different contexts.

  16. Active Absorption Wave Maker System for Irregular Waves

    Institute of Scientific and Technical Information of China (English)

    柳淑学; 王先涛; 李木国; 郭美谊

    2003-01-01

    The key problem in physical model tests with highly reflective structures is to prevent the multiple reflections between the reflective structures and the wave maker. An active absorption wave maker system is described and the representative frequency method for irregular waves is proposed in this paper. Physical model tests are conducted to verify the effectiveness of the proposed method.

  17. Bioassays for bomb-makers: proof of concept.

    Science.gov (United States)

    Bell, Suzanne C; Gayton-Ely, Melissa; Nida, Corey M

    2009-09-01

    Clandestine bomb-makers are exposed to significant amounts of explosives and allied materials. As with any ingested xenobiotic substance, these compounds are subject to biotransformation. As such, the potential exists that characteristic suites of biomarkers may be produced and deposited in matrices that can be exploited for forensic and investigative purposes. However, before such assays can be developed, foundational data must be gathered regarding the toxicokinetics, fate, and transport of the resulting biomarkers within the body and in matrices such as urine, hair, nails, sweat, feces, and saliva. This report presents an in vitro method for simulation of human metabolic transformations using human liver microsomes and an assay applicable to representative nitro-explosives. Control and metabolized samples of TNT, RDX, HMX, and tetryl were analyzed using high-performance liquid chromatography coupled to tandem mass spectrometry (LC/MS/MS) and biomarkers identified for each. The challenges associated with this method arise from solubility issues and limitations imposed by instrumentation, specifically, modes of ionization.

  18. Collective Decision Dynamics in Group Evacuation: Modeling Tradeoffs and Optimal Behavior

    CERN Document Server

    Schlesinger, Kimberly J; Ali, Imtiaz; Carlson, Jean M

    2016-01-01

    Quantifying uncertainties in collective human behavior and decision making is crucial for ensuring public health and safety, enabling effective disaster response, informing the design of transportation and communication networks, and guiding the development of new technologies. However, modeling and predicting such behavior is notoriously difficult, due to the influence of a variety of complex factors such as the availability and uncertainty of information, the interaction and influence of social groups and networks, the degree of risk or time pressure involved in a situation, and differences in individual personalities and preferences. Here, we develop a stochastic model of human decision making to describe the empirical behavior of subjects in a controlled experiment simulating a natural disaster scenario. We compare the observed behavior to that of statistically optimal Bayesian decision makers, quantifying the extent to which human decisions are optimal and identifying the conditions in which sub-optimal ...

  19. Foundations for context-aware information retrieval for proactive decision support

    Science.gov (United States)

    Mittu, Ranjeev; Lin, Jessica; Li, Qingzhe; Gao, Yifeng; Rangwala, Huzefa; Shargo, Peter; Robinson, Joshua; Rose, Carolyn; Tunison, Paul; Turek, Matt; Thomas, Stephen; Hanselman, Phil

    2016-05-01

    Intelligence analysts and military decision makers are faced with an onslaught of information. From the now ubiquitous presence of intelligence, surveillance, and reconnaissance (ISR) platforms providing large volumes of sensor data, to vast amounts of open source data in the form of news reports, blog postings, or social media postings, the amount of information available to a modern decision maker is staggering. Whether tasked with leading a military campaign or providing support for a humanitarian mission, being able to make sense of all the information available is a challenge. Due to the volume and velocity of this data, automated tools are required to help support reasoned, human decisions. In this paper we describe several automated techniques that are targeted at supporting decision making. Our approaches include modeling the kinematics of moving targets as motifs; developing normalcy models and detecting anomalies in kinematic data; automatically classifying the roles of users in social media; and modeling geo-spatial regions based on the behavior that takes place in them. These techniques cover a wide-range of potential decision maker needs.

  20. Use of a Novel Embryonic Mammary Stem Cell Gene Signature to Improve Human Breast Cancer Diagnostics and Therapeutic Decision Making

    Science.gov (United States)

    2014-10-01

    SUBTITLE Use of a Novel Embryonic Mammary Stem Cell Gene Signature to Improve Human Breast Cancer Diagnostics and Therapeutic Decision Making Improve...to determine whether Fetal Mammary Stem Cell (fMaSC) signatures correlate with response to chemotherapy and metastasis in different breast cancer...positioned to achieve its aims. 15. SUBJECT TERMS Breast Cancer Prognosis, Mammary Stem Cells, Embryonic Development, Single Cell Transcriptomics 16