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  • Cited by 93
Publisher:
Cambridge University Press
Online publication date:
November 2015
Print publication year:
2015
Online ISBN:
9781316282472

Book description

Policy- and decision-makers in government and industry constantly face important decisions without full knowledge of all the facts. They rely routinely on expert advice to fill critical scientific knowledge gaps. There are unprecedented opportunities for experts to influence decisions. Yet even the most experienced can be over-confident and error-prone, and the hidden risk is that scientists and other experts can over-reach, often with good intentions, placing more weight on the evidence they provide than is warranted. This book describes how to identify potentially risky advice, explains why group judgements outperform individual estimates, and provides an accessible and up-to-date guide to the science of expert judgement. Finally, and importantly, it outlines a simple, practical framework that will help policy- and decision-makers to ensure that the advice that they receive is relatively reliable and accurate, thus substantially improving the quality of information on which critical decisions are made.

Reviews

'Trusting Judgements: How to Get the Best out of Experts … is very clearly and logically structured … this book is written in easy and enjoyable language and very much oriented toward practical needs.'

Pierre L. Ibisch Source: Conservation Biology

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Contents

References
Abbas, A. E. 2009. A Kullback-Leibler view of linear and log-linear pools. Decision Analysis 6, 25–37.
Adams, J. 1995. Risk. UCL Press, London.
Agrawal, A. 1995. Indigenous and scientific knowledge: some critical comments. Indigenous Knowledge and Development Monitor 3, 3–6.
Albert, I., Donnet, S., Guihenneuc-Jouyaux, C., Low-Choy, S., Mengersen, K. and Rousseau, J. 2012. Combining expert opinions in prior elicitation. Bayesian Analysis 7, 503–532.
Aldy, J. E. and Viscusi, W. K. 2007. Age differences in the value of statistical life: revealed preference evidence. Review of Environmental Economics and Policy 1, 241–260.
ALRC. 1985. Evidence. Australian Law Reform Commission Report 26. Volume 1. Australian Government Publishing Service, Canberra.
ALRC. 2000. Managing justice: a review of the Federal Civil Justice system. Australian Law Reform Commission Report 89. Australian Government Publishing Service, Canberra.
Anderson, J. L. 1998. Embracing uncertainty: the interface of Bayesian statistics and cognitive psychology. Conservation Ecology 2, 2.
Arbesman, S. 2012. The half-life of facts. Why everything we know has an expiration date. Penguin, New York.
Aristotle, . Politics. Volume 3. Translated by Barker, Ernest, 1995. Oxford World's Classics.
Armstrong, J. S. 1980. The seer-sucker theory: the value of experts in forecasting. Technology Review 82, 16–24.
Armstrong, J. S. 2001. Principles of forecasting: a handbook for researchers and practitioners. Kluwer Academic Publishers, Dordrecht.
Armstrong, J. S. 2006. Findings from evidence-based forecasting: methods for reducing forecast error. International Journal of Forecasting 22, 583–598.
Ashton, R. 2000. A review and analysis of research on the test–retest reliability of professional judgment. Journal of Behavioral Decision Making 13, 277–294.
Aspinall, W. 2010. A route to more tractable expert advice. Nature 463, 294–295.
Athanasopoulos, G. and Hyndman, R. J. 2011. The value of feedback in forecasting competitions. International Journal of Forecasting 27, 845–849.
Ayyub, B. M. 2001. Elicitation of expert opinions for uncertainty and risks. CRC Press, Boca Raton, Florida.
Ball, D., Maggs, D. and Barrett, M. 2009. Judges, courts, the legal profession and public risk. Risk and Regulation Advisory Council, UK.
Bar-Hillel, M. 1980. The base-rate fallacy in probability judgments. Acta Psychologica 44, 211–233.
Barber, B. M. and Odean, T. 2001. Boys will be boys: Gender, overconfidence, and common stock investment. Quarterly Journal of Economics 116, 261–292.
Barley, S. R. and Kunda, G. 2006. Contracting: a new form of professional practice. Academy of Management Perspectives 20, 45–66.
Beck, U. 1992. Risk society: towards a new modernity. Sage Publications, London.
Bedford, T. and Cooke, R. 2001. Probabilistic risk analysis: foundations and methods. Cambridge University Press.
Bedford, T., Quigley, J. and Walls, L. 2006. Expert elicitation for reliable system design. Statistical Science 21, 428–450.
Beissinger, S. R. and Westphal, M. I. 1998. On the use of demographic models of population viability in endangered species management. Journal of Wildlife Management 62, 821–841.
Benda, L. E., Poff, N. L., Tague, C., Palmer, M. A., Pizzuto, J., Cooper, S., Stanley, E. and Moglen, G. 2002. How to avoid train wrecks when using science in environmental problem solving. Bioscience 52, 1127–1136.
Ben-Haim, Y. 2006. Information-gap decision theory: decisions under severe uncertainty. Academic Press, San Diego.
Benson, P. G. and Nichols, M. L. 1982. An investigation of motivational bias in subjective predictive probability distributions. Decision Sciences 13, 225–239.
Bernard, H. B. 1988. Research methods in cultural anthropology. Sage Publications, London.
Berner, E. S. and Graber, M. L. 2008. Overconfidence as a cause of diagnostic error in medicine. American Journal of Medicine 121, S2–S23.
Bernstein, P. L. 1996. Against the Gods: the remarkable story of risk. Wiley, New York.
Beyth-Marom, R., Dekel, S., Gombo, R. and Shaked, M. 1985. An elementary approach to thinking under uncertainty. Lawrence Erlbaum Associates, Hillside, New Jersey.
Bian, W.-Q. and Keller, L. R. 1999a. Chinese and Americans agree on what is fair, but disagree on what is best in societal decisions affecting health and safety risks. Risk Analysis 19, 439–452.
Bian, W.-Q. and Keller, L. R. 1999b. Patterns of fairness judgments in North America and the People's Republic of China. Journal of Consumer Psychology 8, 301–320.
Bier, V. 2004. Implications of the research on expert overconfidence and dependence. Reliability Engineering and System Safety 85, 321–329.
Bier, V. M., Haimes, Y. Y., Lambert, J. H., Matalas, N. C. and Zimmerman, R. 1999. A survey of approaches for assessing and managing the risk of extremes. Risk Analysis 19, 83–94.
Bolger, F., Stranieri, A., Wright, G. and Yearwood, J. 2011. Does the Delphi process lead to increased accuracy in group-based judgmental forecasts or does it simply induce consensus amongst judgmental forecasters?Technological Forecasting and Social Change 78, 1671–1680.
Borsuk, M. E., Stow, C. A. and Reckhow, K. H. 2003. An integrated approach to TMDL development for the Neuse River Estuary using a Bayesian probability network model (Neu-BERN).Journal of Water Resources Planning and Management 129, 271–282.
Bottom, W., Lakha, K. and Miller, G. J. 2002. Propagation of individual bias through group judgment: error in the treatment of asymmetrically informative signals. Journal of Risk and Uncertainty 25, 147–163.
Brier, G. W. 1950. Verification of forecasts expressed in terms of probability. Monthly Weather Review 78, 1–3.
Broks, P. 2006. Understanding popular science. Open University Press, Maidenhead, England.
Brooks, M. 2007. Can you believe the weather?New Scientist issue 2588, 27 January 2007, 32–35.
Burgman, M. A. 2005. Risks and decisions for conservation and environmental management. Cambridge University Press.
Burgman, M. A., Ferson, S. and Akçakaya, H. R. 1993. Risk assessment in conservation biology. Chapman and Hall, London.
Burgman, M. A., Maslin, B. R., Andrewartha, D., Keatley, M. R., Boek, C. and McCarthy, M. 2000. Inferring threat from scientific collections: power tests and application to Western Australian Acacia species. In Ferson, S. and Burgman, M. A., editors. Quantitative methods for conservation biology. Springer-Verlag, New York.
Burgman, M. A., McBride, M., Ashton, R., Speirs-Bridge, A., Flander, L., Wintle, B., Fidler, F., Rumpff, L. and Twardy, C. 2011a. Expert status and performance. PLoS ONE 6, e22998.
Burgman, M.A., Carr, A., Godden, L., Gregory, R., McBride, M., Flander, L. and Maguire, L. 2011b. Redefining expertise and improving ecological judgement. Conservation Letters 4, 81–87.
Camerer, C. F. and Johnson, E. J. 1991. The process-performance paradox in expert judgment: how can experts know so much and predict so badly? In Ericsson, K. A. and Smith, J., editors. Towards a general theory of expertise: prospects and limits. Cambridge University Press, New York.
Campbell, L. M. 2002. Science and sustainable use: views of marine turtle conservation experts. Ecological Applications 12, 1229–1246.
Capen, E. C. 1976. The difficulty of assessing uncertainty. Journal of Petroleum Technology 28, 843–850.
Caponecchia, C. 2009. Strategies to improve the communication of probability information in risk analyses. International Journal of Risk Assessment and Management 12, 380–395.
Carlon, C., Critto, A., Marcomini, A. and Nathanail, P. 2001. Risk based characterization of contaminated industrial site using multivariate and geostatistical tools. Environmental Pollution 111, 417–427.
Carpenter, S. R., Brock, W. A. and Hanson, P. C. 1999. Ecological and social dynamics in simple models of ecosystem management. Social Systems Research Institute, University of Wisconsin.
Carr, A. J. L. 2004. Why do we all need community science?Society and Natural Resources 17, 1–9.
Chaloner, K., Church, T., Louis, T. A. and Matts, J. P. 1993. Graphical elicitation of a prior distribution for a clinical trial. The Statistician 42, 341–353.
Chamberlin, T. C. 1890. The method of multiple working hypotheses. Reprinted in Science 148, 754–759.
Chatterjee, S. K. 2003. Statistical thought: a perspective and history. Oxford University Press.
Chen, K.-Y. and Plott, C. R. 2002. Information aggregation mechanisms: concepts, design and implementation for a sales forecasting problem. Social Science Working Paper 1131, California Institute of Technology.
Chesson, P. 1978. Predator–prey theory and variability. Annual Review of Ecology and Systematics 9, 323–347.
Chi, M. T. H. 2006. Two approaches to the study of experts’ characteristics. In Ericsson, K. A, Charness, N., Feltovitch, P. J and Hoffman, R. R, editors. The Cambridge handbook of expertise and expert performance. Cambridge University Press.
Christensen-Szalanski, J. and Bushyhead, J. 1981. Physicians use of probabilistic information in a real clinical setting. Journal of Experimental Psychology: Human Perception and Performance 7, 928–935.
Clemen, R. T. and Winkler, R. L. 1999. Combining probability distributions from experts in risk analysis. Risk Analysis 19, 187–203.
Cocozza, J. J. and Steadman, H. J. 1978. Prediction in psychiatry: an example of misplaced confidence in experts. Social Problems 25, 265–276.
Collins, H. M. and Evans, R. 2007. Rethinking expertise. University of Chicago Press.
Colyvan, M. 2001. Is probability the only coherent approach to uncertainty?Risk Analysis 28, 645–652.
Cooke, R. M. 1991. Experts in uncertainty: opinion and subjective probability in science. Oxford University Press.
Cooke, R. M., El Saadany, S. and Xinzheng Huang, X. 2008. On the performance of social network and likelihood based expert weighting schemes. Reliability Engineering and System Safety, Special Issue 93, 745–756.
Cooke, R. M. and Goossens, L. H. J. 2000. Procedures guide for structured expert judgement in accident consequence modelling. Radiation Protection and Dosimetry 90, 303–309.
Cooke, R. M. and Kraan, B. 2000. Processing expert judgements in accident consequence modelling. Radiation Protection Dosimetry 90, 311–315.
Coolen, F. P. A. 2004. On the use of imprecise probabilities in reliability. Quality and Reliability Engineering International 20, 193–202.
Cranshaw, J. and Kittur, A. 2011. The Polymath Projects: lessons from an experiment in large-scale online collaboration in mathematics. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, 1865–1874. ACM.
Crawford-Brown, D. J. 1999. Risk-based environmental decisions: method and culture. Kluwer Academic Publishers, Boston.
Davis, D. A., Mazmanian, P. E., Fordis, M., Van, H. R., Thorpe, K. E., Perrier, L. 2006. Accuracy of physician self-assessment compared with observed measures of competence: a systematic review. Journal of the American Medical Association 296, 1094–1102.
Dawes, R. M. 1979. The robust beauty of improper linear models in decision making. American Psychologist 34, 571–582.
Dawes, R. M. 1994. House of cards: psychology and psychotherapy built on myth. Simon and Schuster, New York.
Dawid, A. P., DeGroot, M. H., Mortera, J., Cooke, R., French, S., Genest, C., Schervish, J., Lindley, D. V., McConway, K. J. and Winkler, R. L. 1995. Coherent combination of experts’ opinions. Test 4, 263–313.
de Finetti, B. 1974. Theory of probability. Wiley, New York.
Deffenbacher, K. A. 1980. Eyewitness accuracy and confidence. Law and Human Behavior 4, 243–260.
Denning, D., Johnson, K., Ehrlinger, J. and Kruger, J. 2003. Why people fail to recognize their own incompetence. Current Directions in Psychological Science 12, 83–87.
Dieckmann, N. F., Mauro, R. and Slovic, P. 2010. The effects of presenting imprecise probabilities in intelligence forecasts. Risk Analysis 30, 987–1001.
Dommelen, A. V. 1999. Hazard identification of agricultural biotechnology: finding relevant questions. International Books, Utrecht.
Donelan, C. J., Wingfield, D. K., Crowder, L. B. and Wilcox, C. 2010. Using expert opinion surveys to rank threats to endangered species: a case study with sea turtles. Conservation Biology 24, 1586–1595.
Dror, I. E., Peron, A. E., Hind, S. L. and Charlton, D. 2005. When emotions get the better of us: the effect of contextual top-down processing on matching fingerprints. Applied Cognitive Psychology 19, 799–809.
Dror, I. E. and Rosenthal, R. 2008. Meta-analytically quantifying the reliability and biasability of fingerprint experts’ decision making. Journal of Forensic Sciences 53, 900–903.
Dyer, J. S. and Miles, R. F. 1976. An actual application of collective choice theory to the selection of trajectories for the Mariner Jupiter/Saturn 1977 project. Operations Research 24, 220–244.
Einhorn, H. J. and Hogarth, R. M. 1978. Confidence in judgment: persistence of the illusion of validity. Psychological Review 85, 395–416.
Elmer, F., Seifert, I., Kreibich, H. and Thieke, A. H. 2010. A Delphi method expert survey to derive standards for flood damage data collection. Risk Analysis 30, 107–124.
Elstein, A. S. 1995. Clinical reasoning in medicine. In: Higgs, J. J. M., editor. Clinical Reasoning in the Health Professions. Butterworth-Heinemann Limited, Oxford, England.
Engelhardt, H. and Caplan, H. 1986. Patterns of controversy and closure: the interplay of knowledge, values, and political forces. In Engelhardt, H. and Caplan, H., editors. Scientific controversies: case studies in the resolution and closure of disputes in science and technology. Cambridge University Press, New York.
Engelmann, J. B., Capra, C. M., Noussair, C. and Berns, G. S. 2009. Expert financial advice neurobiologically “offloads” financial decision-making under risk. PLoS ONE 4, e4957.
Englich, B. and Soder, K. 2009. Moody experts – how mood and expertise influence judgmental anchoring. Judgment and Decision Making 4, 41–50.
Ericsson, K. A., Charness, N., Feltovich, P. J. and Hoffman, R. R., editors. 2006. The Cambridge Handbook of Expertise and Expert Performance. Cambridge University Press, New York.
European Food Safety Authority 2011. Guidance on expert knowledge elicitation in food and feed safety risk assessment. European Food Safety Authority (EFSA), Parma, Italy.
Evans, J. St. B. T. 2008. Dual-processing accounts of reasoning, judgment, and social cognition. Annual Review of Psychology 59, 255–278.
Evatts, J., Mieg, H. A. and Felt, U. 2006. Professionalization, scientific expertise, and elitism: a sociological perspective. In Ericsson, K. A., Charness, N., Feltovitch, P. J. and Hoffman, R. R., editors. The Cambridge handbook of expertise and expert performance. Cambridge University Press.
Ezrahi, Y. 1990. The descent of Icarus: science and the transformation of contemporary democracy. Harvard University Press, Cambridge, Massachusetts.
Failing, L., Gregory, R. and Harstone, M. 2007. Integrating science and local knowledge in environmental risk management: a decision-focused approach. Ecological Economics 64, 47–70.
FAO / WHO. 2001. Call for experts for the Joint FAO / WHO risk assessment activities in the areas of Campylobacter in broilers and Vibrio in seafood. Joint Expert Consultations on Risk Assessment of Microbiological Hazards in Food. Food and Nutrition Division, Food and Agriculture Organization of the United Nations, Rome, Italy.
Ferson, S., Kreinovich, V., Ginzburg, L., Myers, D. and Sentz, K. 2003. Constructing probability boxes and Dempster–Shafer structures. SAND Report, SAND2002-4015. Sandia National Laboratories, Albuquerque, New Mexico.
Feynman, R. P. 1986. Appendix F – Personal observations on the reliability of the Shuttle. In Hearing on the Space Shuttle Accident and the Rogers Commission Report. Report of the Presidential Commission on the Space Shuttle Challenger Accident. U.S. Senate Committee on Commerce, Science and Transportation, Subcommittee on Science, Technology and Space, Washington, DC.
Figlewski, S. 1979. Subjective information and market efficiency in a betting market. Journal of Political Economy 87, 75–88.
Finkel, A. M. 1996. Comparing risks thoughtfully. Risk, 7, 325.
Fischer, F. 2000. Citizens, experts, and the environment. Duke University Press, Durham.
Fischhoff, B. 1994. Acceptable risk: a conceptual proposal. Risk: Health, Safety and Environment 1, 1–28.
Fischhoff, B. 1995. Risk perception and communication unplugged: twenty years of progress. Risk Analysis 15, 137–145.
Fischhoff, B., Slovic, P. and Lichtenstein, S. 1982. Lay foibles and expert fables in judgements about risk. American Statistician 36, 240–255.
Fisk, D. 1998. Environmental science and environmental law. Journal of Environmental Law 10, 3–8.
Flander, L., Dixon, W., McBride, M. and Burgman, M. 2012. Facilitated expert judgment of environmental risks: acquiring and analysing imprecise data. International Journal of Risk Assessment and Management 16, 199–212.
Forrester, Y. 2005. The quality of expert judgment: an interdisciplinary investigation. PhD Thesis. Department of Mechanical Engineering, University of Maryland. URL: http://hdl.handle.net/1903/3267.
Franklin, J., Sisson, S. A., Burgman, M. A. and Martin, J. K. 2008. Evaluating extreme risks in invasion ecology: learning from banking compliance. Diversity and Distributions 14, 581–591.
Freckelton, I. 1995. The challenge of junk psychiatry, psychology and science: the evolving role of the forensic expert. In Selby, H., editor. Tomorrow's law. Federation Press, Sydney.
French, S. 2011. Aggregating expert judgement. Revista De La Real Academia De Ciencias Exactas Fisicas Y Naturales Serie a-Matematicas 105, 181–206.
French, S. 2012. Expert judgment, meta-analysis and participatory risk analysis. Decision Analysis 9, 119–127.
Freudenburg, W. R. 1992. Heuristics, biases, and the not-so-general publics: expertise and error in the assessment of risks. In Krimsky, S. and Golding, D., editors. Social theories of risk. Praeger Publishing, Westport, Connecticut.
Freudenburg, W. R. 1996. Risky thinking: irrational fears about risk and society. Annals of the American Academy of Political and Social Science 545, 44–53.
Freudenburg, W. R. 1999. Tools for understanding the socioeconomic and political settings for environmental decision making. In Dale, V. H. and English, M. R., editors. Tools to aid environmental decision making. Springer, New York.
Freudenburg, W. R., Coleman, C.-L., Gonzales, J. and Helgeland, C. 1996. Media coverage of hazard events: analyzing the assumptions. Risk Analysis 16, 31–42.
Fulero, S. M. 2009. System and estimator variables in eyewitness identification: a review (Chapter 3). In Krauss, D. A. and Lieberman, J. D., editors. Psychological expertise in court. Ashgate Publishing, Farnham.
Galton, F. 1907. Vox populi. Nature 75, 450–451.
Galway, L. A. 2007. Subjective probability distribution elicitation in cost risk analysis. United States Airforce Report, RAND Corporation, Santa Monica.
Gans, J. and Palmer, A. 2004. Australian principles of evidence. Routledge Cavendish, Sydney.
Garthwaite, P. H., Kadane, J. B. and O'Hagan, A. 2005. Statistical methods for eliciting probability distributions. Journal of the American Statistical Association 100, 680–700.
Gigerenzer, G. 2002. Calculated risks: how to know when numbers deceive you. Simon and Schuster, New York.
Gigerenzer, G. 2007. Gut feelings: the intelligence of the unconscious. Viking Press, New York.
Gigerenzer, G., Hertwig, R.van den Broek, E., Fasolo, B. and Katsikopoulos, K. V. 2005. A 30% chance of rain tomorrow: How does the public understand probabilistic weather forecasts?Risk Analysis 25, 623–629.
Gigerenzer, G., Todd, P. M. and the ABC Research Group. 1999. Simple heuristics that make us smart. Oxford University Press, New York.
Gigone, D. and Hastie, R. 1997. Proper analysis of the accuracy of group judgments. Psychological Bulletin 121, 149–167.
Gilovich, T., Griffin, D., and Kahneman, D. 2002. Heuristics and biases: the psychology of intuitive judgement. Cambridge University Press.
Glimcher, P. W. and Rustichini, A. 2004. Neuroeconomics: the consilience of brain and decision. Science 306, 447–452.
Goldberg, L. R. 1965. Diagnosticians vs. diagnostic signs: the diagnosis of psychosis vs. neurosis from the MMPI. Psychological Monographs 79 (Whole No. 602).
Goldring, J. 2003. An introduction to statistical ‘evidence’. Australian Bar Review 23, 239–262.
Good, I. J. 1959. Kinds of probability. Science 129, 443–447.
Goodwin, P. and Wright, G. 2010. The limits of forecasting methods in anticipating rare events. Technological Forecasting and Social Change 77, 355–368.
Goossens, L. H. J. and Cooke, R. M. 2001. Expert judgement elicitation in risk assessment. In Linkov, I. and Palma-Oliveira, J., editors. Assessment and management of environmental risks. Kluwer Academic Publishers, Dordrecht.
Gordon, K. 1924. Group judgments in the field of lifted weights. Journal of Experimental Psychology 7, 398–400.
Gowers, T. and Nielsen, M. 2009. Massively collaborative mathematics: the Polymath Project. Nature 461, 879–881.
Graefe, A. and Armstrong, J. S. 2011. Comparing face-to-face meetings, nominal groups, Delphi and prediction markets on an estimation task. International Journal of Forecasting 27, 183–195.
Graham, J. D. and Hammitt, J. K. 1996. Refining the CRA framework. In Davies, J. C., editor. Comparing environmental risks. Resources for the Future, Washington, DC.
Gregory, R., Failing, L., Harstone, M., Long, G., McDaniels, T. and Ohlson, D. 2012. Structured decision making. Wiley-Blackwell, Chichester.
Gregory, R., Failing, L., Ohlson, D. and McDaniels, T. 2006. Some pitfalls of an overemphasis on science in environmental risk management decisions. Journal of Risk Research 9, 717–735.
Gregory, R., Lichtenstein, S. and MacGregor, D. 1993. The role of past states in determining reference points for policy decisions. Organisational Behavior and Human Decision Processes 55, 195–206.
Gregory, J. and Miller, S. 1998. Science in public: communication, culture, and credibility. Plenum Press, New York.
Green, K. C. and Armstrong, J. S. 2007. Global warming: forecasts by scientists versus scientific forecasting. Energy and Environment 18, 997–1021.
Grigg, A. E. 1958. Experience of clinicians and speech characteristics and statements of clients as variables in clinical judgment. Journal of Consulting Psychology 22, 315–319.
Grove, W. M. and Meehl, P. E. 1996. Comparative efficiency of informal (subjective, impressionistic) and formal (mechanical, algorithmic) prediction procedures: the clinical-statistical controversy. Psychology, Public Policy, and Law 2, 293–323.
Grove, W. M., Zald, D. H., Lebow, B. S., Snits, B. E. and Nelson, C. E. 2000. Clinical vs. mechanical prediction: a meta-analysis. Psychological Assessment 12, 19–30.
Gullet, W. 2000. The precautionary principle in Australia: policy, law and potential precautionary EIAs. Risk: Health, Safety and Environment 11, 93–124.
Gumbel, E. J. 1958. Statistics of extremes. Columbia University Press, New York.
Gustafson, D. H., Shukla, R. K., Delbecq, A. and Walster, G. W. 1973. A comparative study of differences in subjective likelihood estimates made by individuals, interacting groups, Delphi groups, and nominal groups. Organizational Behavior and Human Performance 9, 280–291.
Gustafson, L. L., Gustafson, D. H., Antognoli, M. C. and Remmenga, M. D. 2013. Integrating expert judgment in veterinary epidemiology: example guidance for disease freedom surveillance. Preventive Veterinary Medicine 109, 1–9.
Haack, S. 2001. An epistemologist in the bramble-bush: at the Supreme Court with Mr. Joiner. Journal of Health Politics Policy and Law 26, 217–248.
Hacking, I. 1975. The emergence of probability: a philosophical study of early ideas about probability, induction and statistical inference. Cambridge University Press, London.
Hall, S. S. 2011. Scientists on trial: at fault?Nature 477, 264–269.
Hanson, R. 2006. Designing real terrorism futures. Public Choice 128, 257–274.
Hart, A. 1986. Knowledge acquisition for expert systems. McGraw-Hill, New York.
Hayakawa, H., Fischbeck, P. S. and Fischhoff, B. 2000. Traffic accident statistics and risk perceptions in Japan and the United States. Accident Analysis and Prevention 32, 827–835.
Henrion, M. and Fischhoff, B. 1986. Assessing uncertainty in physical constants. American Journal of Physics 54, 791–798.
Hertwig, R. 2012. Tapping into the wisdom of the crowd – with confidence. Science 36, 303–304.
Herzog, S. M. and Hertwig, R. 2009. The wisdom of many in one mind. Psychological Science 20, 231–237.
HeuerJr, R. J. 2005. Limits of intelligence analysis. Orbis 49, 75–94.
Hilborn, R. 1987. Living with uncertainty in resource management. North American Journal of Fisheries Management 7, 1–5.
Hilborn, R. and Mangel, M. 1997. The ecological detective: confronting models with data. Monographs in Population Biology 28. Princeton University Press, New Jersey.
Hilgartner, S. 1990. The dominant view of popularization: conceptual problems, political uses. Social Studies of Science 20, 519–539.
Hoffman, S., Fischbeck, P., Krupnick, A. and McWilliams, M. 2008. Informing risk-mitigation priorities using uncertainty measures derived from heterogeneous expert panels: a demonstration using foodborne pathogens. Reliability Engineering and System Safety 93, 687–698.
Hoffrage, U., Gigerenzer, G., Krauss, S. and Martignon, L. 2002. Representation facilitates reasoning: what natural frequencies are and what they are not. Cognition 84, 343–352.
Hogarth, R. M. 2001. Educating intuition. University of Chicago Press.
Hogarth, R. M. 2005. Deciding analytically or trusting your intuition? The advantages and disadvantages of analytic and intuitive thought. In Betsch, T. and Haberstroh, S., editors. The routines of decision making. Lawrence Erlbaum Associates, Mahwah, New Jersey.
Hong, L. and Page, S. E. 2004. Groups of diverse problem solvers can outperform groups of high-ability problem solvers. Proceedings of the National Academy of Sciences of the USA 101, 16385–16389.
Hoogendoorn, S., Oosterbeek, H. and van Praag, M. 2011. The impact of gender diversity on the performance of business teams: evidence from a field experiment. Tinbergen Institute Discussion Paper TI 2011–074/3. Amsterdam School of Economics, University of Amsterdam.
Hora, S. C. 1992. Acquisition of expert judgment: examples from risk assessment. Journal of Energy Engineering 118, 136–148.
Hora, S. C. 2007. Eliciting probabilities from experts (Chapter 8). In Edwards, W., Miles, R. F. and Winterfeldt, D. von, editors. Advances in decision analysis. Cambridge University Press.
Horst, H. S., Dijkhuizen, A. A., Huirne, R. B. M. and De Leeuw, P. W. 1998. Introduction of contagious animal diseases into the Netherlands: elicitation of expert opinions. Livestock Production Science 53, 253–264.
Imwinkelried, E. J. 1993. The Daubert decision: Frye is dead: long live the Federal Rules of Evidence. Trial 29, 60–65.
Inayatullah, S. 2008. Six pillars: futures thinking for transforming. Foresight 10, 4–21.
International Monetary Fund. 2006. Global Financial Stability Report. World Economic and Financial Surveys, Washington.
Ioannidis, J. P. A. 2005a. Contradicted and initially stronger effects in highly cited clinical research. Journal of the American Medical Association 294, 218–228.
Ioannidis, J. P. A. 2005b. Why most published research findings are false. PLoS Medicine 2, e124.
Ioannidis, J. P. A. 2008. Why most discovered true associations are inflated. Epidemiology. 19, 640–648.
Irwin, A. 2001. Constructing the scientific citizen: science and democracy in the biosciences. Public Understanding of Science 10, 1–18.
Jacob, A. 2011. How to build the global mathematics brain. New Scientist issue 2811, 4 May 2011, 10–11.
James, A., Low Choy, S. and Mengersen, K. 2010. Elicitator: an expert elicitation tool for regression in ecology. Environmental Modelling and Software 25, 129–145.
Jamtvedt, G., Young, J. M., Kristoffersen, D. T., O'Brien, M. A. and Oxman, A. D. 2006. Does telling people what they have been doing change what they do? A systematic review of the effects of audit and feedback. Quality and Safety in Health Care 15, 433–436.
Janis, I. L.Groupthink: Psychological studies of policy decisions and fiascos. Houghton Mifflin, Boston.
Jasanoff, S. 2006. Transparency in public science: purposes, reasons, limits. Law and Contemporary Problems 69, 21.
Jasanoff, S. 2007. Technologies of humility. Nature 450, 33.
Jaynes, E. T. 1976. Confidence intervals vs Bayesian intervals. In Harper, and Hooker, , editors. Foundations of probability theory, statistical inference, and statistical theories of science. Volume 2. D. Reidel Publishing, Dordrecht, Holland.
Johansson, P. O. 2002. On the definition and age-dependency of the value of a statistical life. Journal of Risk and Uncertainty 25, 251–263.
Johnson, D. D. P. and Fowler, J. H. 2011. The evolution of overconfidence. Nature 477, 317–320.
Johnson, J. E. V. and Bruce, A. C. 2001. Calibration of subjective probability judgments in a naturalistic setting. Organizational Behavior and Human Decision Processes 85, 265–290.
Johnson, R. H. and Blair, J. A. 1983. Logical self-defense, 2nd edition. McGraw-Hill Ryerson, Toronto.
Kadane, J. B., Dickeey, J., Winkler, R. L., Smith, W. and Peters, S. 1980. Interactive elicitation of opinion for a normal linear model. Journal of the American Statistical Association 75, 815–885.
Kahan, D. M. 2013. Ideology, motivated reasoning, and cognitive reflection. Judgment and Decision Making 8, 407–424.
Kahan, D. M. 2015. Climate science communication and the measurement problem. Advances in Political Psychology 36, 1–43.
Kahn, H. and Wiener, A. J. 1967. The year 2000: a framework for speculation. Macmillan, New York.
Kahneman, D. 2011. Thinking, fast and slow. Farrar, Straus, and Giroux, New York.
Kahneman, D. and Tversky, A. 1979. Prospect theory: an analysis of decision under risk. Econometrica 47, 263–291.
Kahneman, D. and Tversky, A. 1984. Choices, values, and frames. American Psychologist 39, 342–347.
Kaiser, J. 2002. Software glitch threw off mortality estimates. Science 296, 1945–1946.
Kalof, L., Dietz, T., Guagnano, G. and Stern, P. C. 2002. Race, gender and environmentalism: the atypical values and beliefs of white men. Race, Gender and Class 9, 1–19.
Kammen, D. M. and Hassenzahl, D. M. 1999. Should we risk it? Exploring environmental, health, and technological problem solving. Princeton University Press, New Jersey.
Kaplan, S. 1992. ‘Expert opinion’ versus ‘expert opinions.’ Another approach to the problem of eliciting/combining/using expert opinion in PRA. Reliability Engineering and System Safety 35, 61–72.
Kaplan, S. and Garrick, B. 1981. On the quantitative definition of risk. Risk Analysis 1, 11–27.
Kardes, F. R. 2006. When should consumers and managers trust their intuition?Journal of Consumer Psychology 16, 20–24.
Keeney, R. L. and von Winterfeldt, D. 1991. Eliciting probabilities from experts in complex technical problems. IEEE Transactions on Engineering Management 38, 191–201.
Kerr, R. 1996. A new way to ask the experts: rating radioactive waste risks. Science 274, 913–914.
Kerr, N. L. and Tindale, R. S. 2004. Group performance and decision making.Annual Review of Psychology 55, 623–655.
Khatib, F., DiMaio, F., Foldit Contenders Group, Foldit Void Crushers Group, Cooper, S., Kazmierczyk, M., Gilski, M., Krzywda, S., Zabranska, H., Pichova, I., Thompson, J., Popovic, Z., Jaskolski, M. and Baker, D. 2011. Crystal structure of a monomeric retroviral protease solved by protein folding game players. Nature Structural and Molecular Biology 18, 1175–1177.
Kirsch, E. W. 1995. Daubert v. Merrell Dow Pharmaceuticals: active judicial scrutiny of scientific evidence. Food and Drug Law Journal 50, 213–234.
Klayman, J., Soll, J. B., Juslin, P. and Winman, A. 2006. Subjective confidence and the sampling of knowledge. In K. Fiedler and P. Juslin, editors. Information sampling and adaptive cognition. Cambridge University Press, New York, pp. 153–182.
Klir, G. J. and Harmanec, D. 1997. Types and measures of uncertainty. In Kacprzyk, J., Nurmi, H. and Fedrizzi, M., editors. Consensus under fuzziness. Kluwer Academic Publishers, Boston.
Klir, G. J. and Wierman, M. J. 1998. Uncertainty-based information: elements of generalized information theory. Physica-Verlag, Heidelberg.
Kloprogge, P., van der Sluijs, J. and Wardekker, A. 2007. Uncertainty communication issues and good practice. Copernicus Institute for Sustainable Development and Innovation. Report NWS-E-2007–199. Netherlands Environmental Assessment Agency, Utrecht.
Knol, A. B., Slottje, P., van der Sluijs, J. P. and Lebret, E. 2010. The use of expert elicitation in environmental health impact assessment: a seven step procedure. Environmental Health 9, 19.
Korb, K. B. and Nicholson, A. E. 2003. Bayesian artificial intelligence. CRC Press, Boca Raton, Florida.
Koriat, A. 2012. When two heads are better than one and why?Science 336, 360–362.
Kosinski, M., Bachrach, Y., Kasneci, G., Van-Gael, J. and Graepel, T. 2012. Crowd IQ: measuring the intelligence of crowdsourcing platforms. In Proceedings of the 3rd Annual ACM Web Science Conference, 151–160. ACM.
Krinitzsky, E. L. 1993. Earthquake probability in engineering – Part 1: the use and misuse of expert opinion. Engineering Geology 33, 257–288.
Kruger, J. and Dunning, D. 2009. Unskilled and unaware: how difficulties in recognizing one's own incompetence lead to inflated self-assessments. Psychology 1, 30–46.
Kuhn, T. S. 1962. The structure of scientific revolutions. University of Chicago Press.
Kunda, Z. 1990. The case for motivated reasoning. Psychological Bulletin 108, 480–498.
Lakatos, I. 1976. Proofs and refutations. Cambridge University Press.
Laughlin, P. R. and Ellis, A. L. 1986. Demonstrability and social combination processes on mathematical intellective tasks. Journal of Experimental Social Psychology 22, 177–189.
Lawrence, M., Goodwin, P., O'Connor, M. and Onkal, D. 2006. Judgmental forecasting: a review of progress over the last 25 years. International Journal of Forecasting 22, 493–518.
Lawson, J. D. 1900. The law of expert and opinion evidence, 2nd edition. T. H. Flood, Chicago.
Leadbeater, C. 2003. Amateurs: a 21st-century remake – social commentator Charles Leadbeater looks at the growing number of people in Britain taking a serious approach to pastime pursuits. RSA Journal 150, 22–25.
Lehrer, J. 2012. Groupthink: the brainstorming myth. The New Yorker 30, 12.
Lempert, R. J., Groves, D. G., Popper, S. W. and Bankes, S. C. 2006. A general, analytic method for generating robust strategies and narrative scenarios. Management Science 52, 514–528.
Lewandowsky, S. and Kirsner, K. 2000. Knowledge partitioning: context-dependent use of expertise. Memory and Cognition 28, 295–305.
Libby, R., Trotman, K. T. and Zimmer, I. 1987. Member variation, recognition of expertise, and group performance. Journal of Applied Psychology 72, 81–87.
Lichtenstein, S., Fischhoff, B. and Phillips, L. D. 1982. Calibration of probabilities: the state of the art to 1980. In Kahneman, D., Slovic, P. and Tversky, A., editors. Judgment under uncertainty: heuristics and biases. Cambridge University Press, New York.
Lin, S.-W. and Bier, V. M. 2008. A study of expert overconfidence. Reliability Engineering and System Safety 93, 711–721.
Lipinski, M., Froelicher, V., Atwood, E., Tseitlin, A., Franklin, B., Osterberg, L., Do, D. and Myers, J. 2002. Comparison of treadmill scores with physician estimates of diagnosis and prognosis in patients with coronary artery disease. American Heart Journal 143, 650–658.
Low Choy, S., O'Leary, R. and Mengersen, K. 2009. Elicitation by design in ecology: using expert opinion to inform priors for Bayesian statistical models. Ecology 90, 265–277.
Luft, J. 1950. Implicit hypotheses and clinical predictions. Journal of Abnormal and Social Psychology 5, 756–760.
Lyle, J. A. 2008. Collective problem solving: are the many smarter than the few?Durham Anthropology Journal 15, 23–58.
MacDonald, J. A., Small, M. J. and Norgan, M. G. 2008. Explosion probability of unexploded ordnance: expert beliefs. Risk Analysis 28, 825–841.
MacGregor, D. G. 2001. Decomposition for judgmental forecasting and estimation. In Armstrong, S., editor. Principles of forecasting: a handbook for researchers and practitioners. Kluwer Academic Publishers, Boston.
MacMillan, D. C. and Marshall, K. 2006. The Delphi process – an expert-based approach to ecological modelling in data-poor environments. Animal Conservation 9, 11–19.
Maguire, L. and Albright, E. A. 2005. Can behavioral decision theory explain risk-averse fire management decisions?Forest Ecology and Management 211, 47–58.
Marcot, B. G., Allen, C. S., Morey, S., Shively, D. and White, R. 2012. An expert panel approach to assessing potential effects of bull trout reintroduction on federally listed salmonids in the Clackamas River, Oregon. North American Journal of Fisheries Management 32, 450–465.
Martin, A. D., Quinn, K. M., Ruger, T. W. and Kim, P. T. 2004. Competing approaches to predicting supreme court decision making. Perspectives on Politics 2, 761–767.
Mastrandrea, M. D., Field, C. B., Stocker, T. F., Edenhofer, O., Ebi, K. L., Frame, D. J., Held, H., Kriegler, E., Mach, K. J., Matschoss, P. R., Plattner, G.-K., Yohe, G. W. and Zwiers, F. W. 2010. Guidance note for lead authors of the IPCC Fifth Assessment Report on consistent treatment of uncertainties. Intergovernmental Panel on Climate Change.
McBride, M.F., Garnett, S.T., Szabo, J.K., Burbidge, A.H., Butchart, S.H.M., Christidis, L., Dutson, G., Ford, H.A., Loyn, R.H., Watson, D.M., and Burgman, M.A. 2012a. Structured elicitation of expert judgments for threatened species assessment: a case study on a continental scale using email. Methods in Ecology and Evolution 3, 906–920.
McBride, M.F., Fidler, F. and Burgman, M.A. 2012b. Evaluating the accuracy and calibration of expert predictions under uncertainty: predicting the outcomes of ecological research. Diversity and Distributions 18, 782–794.
McKaughan, D. J. and Drake, J. M. 2012. Representing vague opinion. Principia 16, 341–344.
Meehl, P. E. 1954. Clinical versus statistical prediction: a theoretical analysis and review of the evidence. University of Minnesota Press, Minneapolis.
Meehl, P. E. 1986. Causes and effects of my disturbing little book. Journal of Personality Assessment 50, 370–375.
Meer, E. 2001. Using comparative risk to set pollution prevention priorities in New York State: a formula for inaction: a critical analysis of the New York State Department of Environmental Conservation Comparative Risk Project. A report from the New York State Assembly Legislative Commission on Toxic Substances and Hazardous Wastes. Assemblyman Steve Englebright, Chair. New York.
Mellers, B., Stone, E., Murray, T. et al. 2015. Identifying and cultivating superforecasters as a method of improving probabilistic predictions. Perspectives on Psychological Science 10, 267–281.
Meyer, M. A. and Booker, J. M. 1990. Eliciting and analyzing expert judgment: a practical guide. Office of Nuclear Regulatory Research, Division of Systems Research, US Nuclear Regulatory Commission, Washington, DC.
Miller, B. 2013. When is consensus knowledge based? Distinguishing shared knowledge from mere agreement. Synthese, 190, 1293–1316.
Moore, D. A. and Healy, P. J. 2008. The trouble with overconfidence. Psychological Review 115, 502–517.
Moore, D. A., Tanlu, L. and Bazerman, M. H. 2010. Conflict of interest and the intrusion of bias. Judgment and Decision Making 5, 37–53.
Morgan, M. G. 1993. Risk analysis and management. Scientific American 269, 32–42.
Morgan, M. G. 2014. Use (and abuse) of expert elicitation in support of decision making for public policy. Proceedings of the National Academy of Sciences of the USA 111, 7176–7184.
Morgan, M. G., Fischhoff, B., Lave, L. and Fischbeck, P. 1996. A proposal for ranking risk within Federal agencies. In Davies, J. C., editor. Comparing environmental risks. Resources for the Future, Washington, DC.
Morgan, M. G. and Henrion, M. 1990. Uncertainty: a guide to dealing with uncertainty in quantitative risk and policy analysis. Cambridge University Press.
Mullainathan, S., Noeth, M. and Schoar, A. 2012. The market for financial advice: an audit study. National Bureau of Economic Research Working Paper No. 17929. Cambridge, Massachusetts.
Munnichs, G. 2004. Whom to trust? Public concerns, late modern risks, and expert trustworthiness. Journal of Agricultural and Environmental Ethics 17, 113–130.
Murphy, A. H. 1993. What is a good forecast? An essay on the nature of goodness in weather forecasting. American Meterological Society 8, 281–293.
Murphy, A. H. and Winkler, R. L. 1977. Can weather forecasters formulate reliable probability forecasts of precipitation and temperature?National Weather Digest 2, 2–9.
Murphy, A. H. and Winkler, R. L. 1984. Probability forecasting in meteorology. Journal of the American Statistical Association 79, 489–500.
Murray, J. V., Goldizen, A. W., O'Leary, R. A., McAlpine, C. A., Possingham, H. P. and Choy, S. L. 2009. How useful is expert opinion for predicting the distribution of a species within and beyond the region of expertise? A case study using brush-tailed rockwallabiesPetrogale penicillata. Journal of Applied Ecology 46, 842–851.
Neff, C. and Hueter, R. 2013. Science, policy, and the public discourse of shark ‘attack’: a proposal for reclassifying human-shark interactions. Journal of Environmental Studies and Sciences 3, 65–73.
Nemeth, C. J., Connell, J. B., Rogers, J. D. and Brown, K. S. 2001. Improving decision making by means of dissent. Journal of Applied Social Psychology 31, 48–58.
O'Brien, M. 2000. Making better environmental decisions: an alternative to risk assessment. MIT Press, Cambridge, Massachusetts.
O'Hagan, A. 2012. Probabilistic uncertainty specification: overview, elaboration techniques and their application to a mechanistic model of carbon flux. Environmental Modelling and Software 36, 35–48.
O'Hagan, A., Buck, C. E., Daneshkhah, A., Eiser, R., Garthwaite, P., Jenkinson, D., Oakley, J. and Rakow, T. 2006. Uncertain judgements: eliciting experts’ probabilities. Wiley, Hoboken, New Jersey.
O'Hagan, A. and Oakley, J. E. 2004. Probability is perfect, but we can't elicit it perfectly. Reliability Engineering and System Safety 85, 239–248.
O'Leary, R. A., Low-Choy, S., Murray, J. V., Kynn, M., Denham, R., Martin, T. G. and Mengersen, K. 2009. Comparison of three expert elicitation methods for logistic regression on predicting the presence of the threatened brush-tailed rock-wallabyPetrogale penicillata. Environmetrics 20, 379–398.
O'Neill, S. J., Osborn, T. J., Hulme, M., Lorenzoni, I. and Watkinson, A. R. 2008. Using expert knowledge to assess uncertainties in future polar bear populations under climate change. Journal of Applied Ecology 45, 1649–1659.
Önkal, D., Yates, J. F., Simga-Mugan, C. and Oztin, S. 2003. Professional vs. amateur judgment accuracy: the case of foreign exchange rates. Organizational Behavior and Human Decision Processes 91, 169–185.
Peachy, R., Spiegelhalter, D. and Marteau, T. M. 2013. Impact of plain packaging of tobacco products on smoking in adults and children: an elicitation of international experts’ estimates. BMC Public Health 13, 18.
Peel, J. 2005. The precautionary principle in practice: environmental decision-making and scientific uncertainty. Federation Press, Annandale, New South Wales.
Perfect, T. J. 2004. The role of self-rated ability in the accuracy of confidence judgements in eyewitness memory and general knowledge. Applied Cognitive Psychology 18, 157–168.
Perhac, R. M. 1998. Comparative risk assessment: where does the public fit in?Science, Technology, and Human Values 23, 221–241.
Pidgeon, N., Harthorn, B., Bryant, K. and Rogers-Hayden, R. 2008. Deliberating the risks of nanotechnologies for energy and health applications in the United States and United Kingdom. Nature Nanotechnology 4, 95–98.
Plous, S. 1993. The psychology of judgment and decision making. McGraw-Hill, New York.
Poff, N. L., Allan, J. D., Palmer, M. A., Hart, D. D., Richter, B. D., Arthington, A. H., Rogers, K. H., Meyer, J. L. and Stanford, J. A. 2003. River flows and water wars: emerging science for environmental decision making. Frontiers in Ecology and the Environment 1, 298–306.
Pons, J. M. V., Borras, J. M., Espinas, J. A., Moreno, V., Cardona, M. and Granados, A. 1999. Subjective versus statistical model assessment of mortality risk in open heart surgical procedures. Annals of Thoracic Surgery 67, 635–640.
Potchen, E. J. 2006. Measuring observer performance in chest radiology: some experiences. Journal of the American College of Radiology 3, 423–432.
Poynard, T., Munteanu, M., Ratziu, V., Benhamou, Y., Di Martino, V., Taieb, J. and Opolon, P. 2002. Truth survival in clinical research: an evidence-based requiem. Annals of Internal Medicine 136, 888–895.
Preston, B. J. 2003. Science and the law: evaluating evidentiary reliability. Australian Bar Review 23, 263–295.
Priest, G. and Thomason, N. 2007. 60% Proof. Australasian Journal of Logic 5, 89–100.
Punt, A. E. and Hilborn, R. 1997. Fisheries stock assessment and decision analysis: the Bayesian approach. Reviews in Fish Biology and Fisheries 7, 35–63.
Regan, H. M., Colyvan, M. and Burgman, M. A. 2000. A proposal for fuzzy IUCN categories and criteria. Biological Conservation 92, 101–108.
Regan, H. M., Colyvan, M. and Burgman, M. A. 2002. A taxonomy and treatment of uncertainty for ecology and conservation biology. Ecological Applications 12, 618–628.
Regan, H. M., Lupia, R., Drinnan, A. N. and Burgman, M. A. 2001. The currency and tempo of extinction. American Naturalist 157, 1–10.
Reischman, R. 2002. Critical care cardiovascular nurse expert and novice diagnostic cue utilization. Journal of Advanced Nursing 39, 24–34.
Rennie, D. and Chalmers, I. 2009. Assessing authority. Journal of the American Medical Association 301, 1819–1821.
Rohrmann, B. 1994. Risk perception of different societal groups: Australian findings and cross-national comparisons. Australian Journal of Psychology 46, 150–163.
Rohrmann, B. 1998. The risk notion: epistemological and empirical considerations. In Stewart, M. G. and Melchers, R. E., editors. Integrated risk assessment. Balkema, Rotterdam.
Rothlisberger, J. D., Lodge, D. M., Cooke, R. M. and Finnoff, D. C. 2010. Future declines of the binational Laurentian Great Lakes fisheries: the importance of environmental and cultural change. Frontiers in Ecology and the Environment 8, 239–244.
Rowe, G. and Wright, G. 2001. Expert opinions in forecasting: the role of the Delphi technique. In Armstrong, J. S., editor. Principles of forecasting: a handbook for researchers and practitioners. Kluwer Academic Publishers, Boston.
Ruckelshaus, M. H., Levin, P., Johnson, J. B. and Kareiva, P. M. 2002. The Pacific Salmon wars: what science brings to the challenge of recovering species. Annual Review of Ecology and Systematics 33, 665–706.
Ruger, T. W., Kim, P. T., Martin, A. D. and Quinn, K. M. 2004. The Supreme Court forecasting project: legal and political science approaches to predicting Supreme Court decisionmaking. Columbia Law Review 104, 1150–1209.
Russo, J. E. and Schoemaker, P. J. H. 1992. Managing overconfidence. Sloan Management Review 33, 7–17.
Savage, L. J. 1972. The foundations of statistics. Dover Publications, New York.
Schultz-Hardt, S., Brodbeck, F. C., Mojzisch, A., Kerschreiter, R. and Frey, D. 2006. Group decision making in hidden profile situations: dissent as a facilitator for decision quality. Journal of Personality and Social Psychology 91, 1080–1093.
Schultze, T., Mojzisch, A. and Schulz-Hardt, S. 2012. Why groups perform better than individuals at quantitative judgment tasks: group-to-individual transfer as an alternative to differential weighting. Organizational Behavior and Human Decision Processes 118, 24–36.
Schum, D. A. and Morris, J. R. 2007. Assessing the competence and credibility of human sources of intelligence evidence: contributions from law and probability. Law, Probability and Risk 6, 247–274.
Sentz, K. and Ferson, S. 2002. Combination of evidence in Dempster-Shafer theory. SAND Report, SAND2002-0835. Sandia National Laboratories, Albuquerque, New Mexico.
Shaffer, M. L. 1987. Minimum viable populations: coping with uncertainty. In Soulé, M. E., editor. Viable populations for conservation.Cambridge University Press.
Shanteau, J. 1992a. Competence in experts: the role of task characteristics. Organizational Behavior and Human Decision Processes 53, 252–266.
Shanteau, J. 1992b. How much information does an expert use? Is it relevant?Acta Psychologica 81, 75–86.
Shipley, B. 2000. Cause and correlation in biology. Cambridge University Press.
Shrader-Frechette, K. 1996a. Methodological rules for four classes of scientific uncertainty. In Lemons, J., editor. Scientific uncertainty and environmental problem solving. Blackwell, Cambridge, Massachusetts.
Shrader-Frechette, K. 1996b. Value judgments in verifying and validating risk assessment models. In Cothern, C. R., editor. Handbook for environmental risk decision making: values, perceptions and ethics. CRC Lewis Publishers, Boca Raton.
Simon, H. 1959. Theories for decision-making in economic and behavioral science. The American Economic Review 49, 253–283.
Slovic, P. 1999. Trust, emotion, sex, politics, and science: surveying the risk-assessment battlefield. Risk Analysis 19, 689–701.
Slovic, P., Fischhoff, B. and Lichtenstein, S. 1984. Perception and acceptability of risk from energy systems. In Fruendenburg, W. R. and Rosa, E. A., editors. Public reactions to nuclear power: are there critical masses?AAAS/Westview, Boulder, Colorado.
Slovic, P., Monahan, J. and MacGregor, D. G. 2000. Violence risk assessment and risk communication: the effects of using actual cases, providing instruction, and employing probability versus frequency formats. Law and Human Behavior 24, 271–296.
Soll, J. B. and Klayman, J. 2004. Overconfidence in interval estimates. Journal of Experimental Psychology: Learning, Memory, and Cognition 30, 299.
Solomon, S., Qin, D., Manning, M., Chen, Z., Marquis, M., Averyt, K. B., Tignor, M. and Miller, H. L. 2007. Climate Change 2007: The Physical Science Basis. Contribution of Working Group I to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change. Cambridge University Press, Cambridge and New York.
Speirs-Bridge, A., Fidler, F., McBride, M., Flander, L., Cumming, G. and Burgman, M. 2010. Reducing overconfidence in the interval judgments of experts. Risk Analysis 30, 512–523.
Spetzler, C. S. and Staelvonholstein, C. A. S. 1975. Probability encoding in decision analysis. Management Science 22, 340–358.
Spiegelhalter, D. J., Harris, N. L. and Franklin, R. C. G. 1994. Empirical evaluation of prior beliefs about frequencies: methodology and a case study in congenital heart disease. Journal of the American Statistical Association 89, 435–443.
Spruijt, P., Knol, A. B., Vasileiadou, E., Devilee, J., Lebret, E. and Petersen, A. C. 2014. Roles of scientists as policy advisers on complex issues: a literature review. Environmental Science and Policy 40, 16–25.
Stasser, G. and Titus, W. 1985. Pooling of unshared information in group decision making: biased information sampling during discussion.Journal of Personality and Social Psychology 48, 1467–1478.
Stephens, M. E., Goodwin, B. W. and Andres, T. H. 1993. Deriving parameter probability density functions. Reliability Engineering and System Safety 42, 271–291.
Stern, P. C. and Fineberg, H., editors. 1996. Understanding risk: informing decisions in a democratic society. National Academy Press, Washington, DC.
Sternberg, R. J., Wagner, R. K. and Okagaki, L. 1993. Practical intelligence: the nature and role of tacit knowledge in work and at school. In Puckett, J. M. and Reese, H. W., editors. Mechanisms of everyday cognition. Lawrence Erlbaum Associates, Hillside, New Jersey.
Stewart, M. G. and Melchers, R. E. 1997. Probabilistic risk assessment of engineering systems. Chapman and Hall, London.
Stirling, A. 2007. A general framework for analysing diversity in science, technology and society. Journal of the Royal Society Interface 4, 707–719.
Stow, C. A. and Borsuk, M. E. 2003. Enhancing causal assessment of estuarine fishkills using graphical models. Ecosystems 6, 11–19.
Surowiecki, J. 2005. The wisdom of crowds: why the many are smarter than the few and how collective wisdom shapes business, economies, societies and nations. Doubleday, New York.
Taylor, S. E. and Brown, J. D. 1988. Illusion and well-being: a social psychological perspective on mental health. Psychological Bulletin 103, 193–210.
Teigen, K. H. and Jørgensen, M. 2005. When 90% confidence intervals are 50% certain: on the credibility of credible intervals. Applied Cognitive Psychology 19, 455–475.
Tetlock, P. E. 2005. Expert political opinion, how good is it? How can we know?Princeton University Press, New Jersey.
Tetlock, P. E. and Mellers, B. A. 2011. Intelligent management of intelligence agencies. American Psychologist 66, 542–554.
Thaler, R. H. 1991. Quasi-rational economics. Russell Sage Foundation, New York.
Todd, P. M. and Gigerenzer, G. 2007. Environments that make us smart. Current Directions in Psychological Science 16, 167–171.
Toulmin, S. 1958. The uses of argument. Cambridge University Press.
Tufte, E. 1997. Visual explanations: images and quantities, evidence and narrative. Graphics Press, Cheshire, Connecticut.
Tversky, A. and Kahneman, D. 1971. Belief in the law of small numbers. Psychological Bulletin 76, 105–110.
Tversky, A. and Kahneman, D. 1974. Judgement under uncertainty: heuristics and biases. Science 185, 1124–1131.
Tversky, A. and Kahneman, D. 1985. The framing of decisions and the psychology of choice. In G. Wright, editor. Behavioral decision making, pp. 25–41. Springer, New York.
Tversky, A. and Kahneman, D. 1982a. Belief in the law of small numbers. In Kahneman, D., Slovic, P. and Tversky, A., editors. Judgement under uncertainty: heuristics and biases. Cambridge University Press, pp. 23–30.
Tversky, A. and Kahneman, D. 1982b. Causal schemata in judgments under uncertainty. In Kahneman, D., Slovic, P., Tversky, A., editors. Judgment under uncertainty: heuristics and biases. Cambridge University Press.
Ulery, B. T., Hicklin, R. A., Buscaglia, J. and Roberts, M. A. 2011. Accuracy and reliability of forensic latent fingerprint decisions. Proceedings of the National Academy of Sciences of the USA 108, 7733–7738.
Valverde, L. J. 2001. Expert judgment resolution in technically-intensive policy disputes. In Linkov, I. and Palma-Oliveira, J., editors. Assessment and management of environmental risks. Kluwer Academic Publishers, Dordrecht.
Van der Heijden, K. 1996. Scenarios: the art of strategic conversation. Wiley, Chichester.
van Frassen, B. 1984. Belief and the will. Journal of Philosophy 81, 235–256.
van Gelder, T. 2013. Argument mapping. In H. Pashler, editor. Encyclopedia of the mind. Sage, Thousand Oaks, CA.
Vanackere, G. 1999. Minimizing ambiguity and paraconsistency. Logique et analyse 165, 39–160.
Veatch, R. M. 1991. Consensus of expertise: the role of consensus of experts in formulating public policy and estimating facts. Journal of Medicine and Philosophy 16, 427–445.
Verran, H. 2002. Transferring strategies of land management: indigenous land owners and environmental scientists. Research in Science and Technology Studies, Knowledge and Society 13, 155–181.
Vose, D. 1996. Quantitative risk analysis: a guide to Monte Carlo simulation modelling. Wiley, Chichester.
Wade, P. R. 2000. Bayesian methods in conservation biology. Conservation Biology 14, 1308–1316.
Wagenaar, W. A. and Keren, G. B. 1986. Does the expert know? The reliability of predictions and confidence ratings of experts. In Hollnagel, E. H., Mancini, G. and Woods, D. D., editors. Intelligent decision support in process environments. Springer-Verlag, Berlin.
Walley, P. 1991. Statistical reasoning with imprecise probabilities. Chapman and Hall, London.
Walley, P. 2000. Towards a unified theory of imprecise probability. International Journal of Approximate Reasoning 24, 125–148.
Walley, P. and De Cooman, G. 2001. A behavioral model for linguistic uncertainty. Information Sciences 134, 1–37.
Wallsten, T. S. and Budescu, D. V. 1983. Encoding subjective probabilities: a psychological and psychometric review. Management Science 29, 151–173.
Wallsten, T. S., Budescu, D. V., Erev, I. and Diederich, A. 1997. Evaluating and combining subjective probability estimates. Journal of Behavioral Decision Making 10, 243–268.
Walton, D. 1997. Appeal to expert opinion: arguments from authority. Pennsylvania State University Press, University Park.
Weber, E. U., Blais, A.-R., and Betz, N. E. 2002. A domain-specific risk-attitude scale: measuring risk perceptions and risk behaviors. Journal of Behavioral Decision Making 15, 263–290.
Webler, T., Levine, D., Rakel, H. and Renn, O. 1991. A novel approach to reducing uncertainty: the Delphi group. Technological Forecasting and Social Change 39, 253–263.
Weiss, D. J. and Shanteau, J. 2012. Decloaking the privileged expert. Journal of Management and Organization 18, 300–310.
Welke, K. F., O'Brien, S. M., Peterson, E. D., Ungerleider, R. M., Jacobs, M. L. and Jacobs, J. P. 2009. The complex relationship between pediatric cardiac surgical case volumes and mortality rates in a national clinical database. Journal of Thoracic and Cardiovascular Surgery 137, 1133–1140.
Windschitl, P. D. 2002. Judging the accuracy of a likelihood judgment: the case of smoking risk. Journal of Behavioral Decision Making 15, 19–35.
Winkler, R. L. and Poses, R. M. 1993. Evaluating and combining physicians’ probabilities of survival in an intensive care unit. Management Science 39, 1526–1543.
Wintle, B. C. 2013. Making Decisions When Estimates Conflict: Improving Judgements in Environmental Science. PhD Thesis, University of Melbourne.
Wintle, B., Mascaro, M., Fidler, F., McBride, M., Burgman, M., Flander, L., Saw, G., Twardy, C., Lyon, A. and Manning, B. 2012. The intelligence game: assessing Delphi groups and structured question formats. In Corkill, J., Coole, M. and Valli, C., editors. Proceedings of the 5th Australian Security and Intelligence Conference. pp. 14–26. Security Research Institute, Edith Cowan University.
Wintle, B. C., Fidler, F. M. and Burgman, M. A. 2013b. The trial of scientists at L'Aquila: Lessons for risk communication. Risk Analysis (in review).
Wise, G. 1976. The accuracy of technological forecasts, 1890–1940. Futures 8, 411–419.
WMD Commission. 2005. The commission on the intelligence capabilities of the United States regarding weapons of mass destruction. March 31, 2005. US Government 374. In Wheaton, K. and Chido, D. 2007. Evaluating Intelligence. Competitive Intelligence Magazine 10, 2–19.
Wolfgang, P. 2002. Witness ‘conferencing’. Arbitration International 18, 47–58.
Woolley, A. W., Chabris, C. F., Pentland, A., Hashmi, N. and Malone, T. W. 2010. Evidence for a collective intelligence factor in the performance of human groups. Science 330, 686–688.
Wright, G., Bolger, F. and Rowe, G. 2002. An empirical test of the relative validity of expert and lay judgments of risk. Risk Analysis 22, 1107–1122.
Wynne, B. 1996. May the sheep safely graze? A reflexive view of the expert-lay knowledge divide. In Lash, S., Szerszynski, B. and Wynne, B., editors. Risk, environment and modernity: towards a new ecology. Sage Publications, London.
Yearley, S. 2000. Making systematic sense of public discontents with expert knowledge: two analytical approaches and a case study. Public Understanding of Science 9, 105–122.
Zadeh, L. A. 1986. A simple view of the Dempster–Shafer theory of evidence and its implication for the rule of combination. The AI Magazine 1986, 85–90.

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