IDEAS home Printed from https://ideas.repec.org/r/nat/nature/v463y2010i7279d10.1038_463294a.html
   My bibliography  Save this item

A route to more tractable expert advice

Citations

Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
as


Cited by:

  1. World Health Organization, Foodborne Epidemiology Reference Group, Source Attribution Task Force, 2016. "Research Synthesis Methods in an Age of Globalized Risks: Lessons from the Global Burden of Foodborne Disease Expert Elicitation," Risk Analysis, John Wiley & Sons, vol. 36(2), pages 191-202, February.
  2. Bolger, Fergus & Wright, George, 2017. "Use of expert knowledge to anticipate the future: Issues, analysis and directions," International Journal of Forecasting, Elsevier, vol. 33(1), pages 230-243.
  3. Flandoli, F. & Giorgi, E. & Aspinall, W.P. & Neri, A., 2011. "Comparison of a new expert elicitation model with the Classical Model, equal weights and single experts, using a cross-validation technique," Reliability Engineering and System Safety, Elsevier, vol. 96(10), pages 1292-1310.
  4. David V. Budescu & Eva Chen, 2015. "Identifying Expertise to Extract the Wisdom of Crowds," Management Science, INFORMS, vol. 61(2), pages 267-280, February.
  5. Borgonovo, Emanuele & Marinacci, Massimo, 2015. "Decision analysis under ambiguity," European Journal of Operational Research, Elsevier, vol. 244(3), pages 823-836.
  6. Meissner, Philip & Brands, Christian & Wulf, Torsten, 2017. "Quantifiying blind spots and weak signals in executive judgment: A structured integration of expert judgment into the scenario development process," International Journal of Forecasting, Elsevier, vol. 33(1), pages 244-253.
  7. Julia R. Falconer & Eibe Frank & Devon L. L. Polaschek & Chaitanya Joshi, 2022. "Methods for Eliciting Informative Prior Distributions: A Critical Review," Decision Analysis, INFORMS, vol. 19(3), pages 189-204, September.
  8. Derbyshire, James & Wright, George, 2017. "Augmenting the intuitive logics scenario planning method for a more comprehensive analysis of causation," International Journal of Forecasting, Elsevier, vol. 33(1), pages 254-266.
  9. Gruetzemacher, Ross & Paradice, David & Lee, Kang Bok, 2020. "Forecasting extreme labor displacement: A survey of AI practitioners," Technological Forecasting and Social Change, Elsevier, vol. 161(C).
  10. Martine J. Barons & Lael E. Walsh & Edward E. Salakpi & Linda Nichols, 2024. "A Decision Support System for Sustainable Agriculture and Food Loss Reduction under Uncertain Agricultural Policy Frameworks," Agriculture, MDPI, vol. 14(3), pages 1-21, March.
  11. Anca M. Hanea & Marissa F. McBride & Mark A. Burgman & Bonnie C. Wintle, 2018. "The Value of Performance Weights and Discussion in Aggregated Expert Judgments," Risk Analysis, John Wiley & Sons, vol. 38(9), pages 1781-1794, September.
  12. Randall Lutter & Linda Abbott & Rick Becker & Chris Borgert & Ann Bradley & Gail Charnley & Susan Dudley & Alan Felsot & Nancy Golden & George Gray & Daland Juberg & Mary Mitchell & Nancy Rachman & Lo, 2015. "Improving Weight of Evidence Approaches to Chemical Evaluations," Risk Analysis, John Wiley & Sons, vol. 35(2), pages 186-192, February.
  13. Roger Cooke, 2013. "Uncertainty analysis comes to integrated assessment models for climate change…and conversely," Climatic Change, Springer, vol. 117(3), pages 467-479, April.
  14. Alexander M. R. Bakker & Domitille Louchard & Klaus Keller, 2017. "Sources and implications of deep uncertainties surrounding sea-level projections," Climatic Change, Springer, vol. 140(3), pages 339-347, February.
  15. E. Schuur & B. Abbott & W. Bowden & V. Brovkin & P. Camill & J. Canadell & J. Chanton & F. Chapin & T. Christensen & P. Ciais & B. Crosby & C. Czimczik & G. Grosse & J. Harden & D. Hayes & G. Hugelius, 2013. "Expert assessment of vulnerability of permafrost carbon to climate change," Climatic Change, Springer, vol. 119(2), pages 359-374, July.
  16. Mark C. Quigley & Luke G. Bennetts & Patricia Durance & Petra M. Kuhnert & Mark D. Lindsay & Keith G. Pembleton & Melanie E. Roberts & Christopher J. White, 2019. "The provision and utility of earth science to decision-makers: synthesis and key findings," Environment Systems and Decisions, Springer, vol. 39(3), pages 349-367, September.
  17. Abigail R Colson & Roger M Cooke, 2018. "Expert Elicitation: Using the Classical Model to Validate Experts’ Judgments," Review of Environmental Economics and Policy, Association of Environmental and Resource Economists, vol. 12(1), pages 113-132.
  18. Jeremy Rohmer & Eric Chojnacki, 2021. "Forecast of environment systems using expert judgements: performance comparison between the possibilistic and the classical model," Environment Systems and Decisions, Springer, vol. 41(1), pages 131-146, March.
  19. Fergus Bolger & Gene Rowe, 2015. "The Aggregation of Expert Judgment: Do Good Things Come to Those Who Weight?," Risk Analysis, John Wiley & Sons, vol. 35(1), pages 5-11, January.
  20. Hanea, A.M. & McBride, M.F. & Burgman, M.A. & Wintle, B.C. & Fidler, F. & Flander, L. & Twardy, C.R. & Manning, B. & Mascaro, S., 2017. "I nvestigate D iscuss E stimate A ggregate for structured expert judgement," International Journal of Forecasting, Elsevier, vol. 33(1), pages 267-279.
  21. Christian Ganser & Marc Keuschnigg, 2018. "Social Influence Strengthens Crowd Wisdom Under Voting," Advances in Complex Systems (ACS), World Scientific Publishing Co. Pte. Ltd., vol. 21(06n07), pages 1-23, September.
  22. Mark A Burgman & Marissa McBride & Raquel Ashton & Andrew Speirs-Bridge & Louisa Flander & Bonnie Wintle & Fiona Fidler & Libby Rumpff & Charles Twardy, 2011. "Expert Status and Performance," PLOS ONE, Public Library of Science, vol. 6(7), pages 1-7, July.
  23. Alvarado-Valencia, Jorge & Barrero, Lope H. & Önkal, Dilek & Dennerlein, Jack T., 2017. "Expertise, credibility of system forecasts and integration methods in judgmental demand forecasting," International Journal of Forecasting, Elsevier, vol. 33(1), pages 298-313.
  24. Colson, Abigail R. & Cooke, Roger M., 2017. "Cross validation for the classical model of structured expert judgment," Reliability Engineering and System Safety, Elsevier, vol. 163(C), pages 109-120.
  25. Cooke, Roger M., 2014. "Deep and Shallow Uncertainty in Messaging Climate Change," RFF Working Paper Series dp-14-11, Resources for the Future.
  26. Ren, Xin & Nane, Gabriela F. & Terwel, Karel C. & van Gelder, Pieter H.A.J.M., 2024. "Measuring the impacts of human and organizational factors on human errors in the Dutch construction industry using structured expert judgement," Reliability Engineering and System Safety, Elsevier, vol. 244(C).
  27. Lee Stapleton, 2015. "Do academics doubt their own research?," SPRU Working Paper Series 2015-24, SPRU - Science Policy Research Unit, University of Sussex Business School.
  28. Hanea, Anca & Wilkinson, David Peter & McBride, Marissa & Lyon, Aidan & van Ravenzwaaij, Don & Singleton Thorn, Felix & Gray, Charles T. & Mandel, David R. & Willcox, Aaron & Gould, Elliot, 2021. "Mathematically aggregating experts' predictions of possible futures," MetaArXiv rxmh7, Center for Open Science.
  29. Fathy, Mohammad & Kazemzadeh Haghighi, Foojan & Ahmadi, Mohammad, 2024. "Uncertainty quantification of reservoir performance using machine learning algorithms and structured expert judgment," Energy, Elsevier, vol. 288(C).
  30. Ludovic Gaudard & Franco Romerio, 2020. "A Conceptual Framework to Classify and Manage Risk, Uncertainty and Ambiguity: An Application to Energy Policy," Energies, MDPI, vol. 13(6), pages 1-22, March.
  31. Petropoulos, Fotios & Goodwin, Paul & Fildes, Robert, 2017. "Using a rolling training approach to improve judgmental extrapolations elicited from forecasters with technical knowledge," International Journal of Forecasting, Elsevier, vol. 33(1), pages 314-324.
  32. Eric Libby & Leon Glass, 2010. "The Calculus of Committee Composition," PLOS ONE, Public Library of Science, vol. 5(9), pages 1-8, September.
  33. Stapleton, L.M. & Hanna, P. & Ravenscroft, N. & Church, A., 2014. "A flexible ecosystem services proto-typology based on public opinion," Ecological Economics, Elsevier, vol. 106(C), pages 83-90.
  34. Brian H. MacGillivray, 2019. "Null Hypothesis Testing ≠ Scientific Inference: A Critique of the Shaky Premise at the Heart of the Science and Values Debate, and a Defense of Value‐Neutral Risk Assessment," Risk Analysis, John Wiley & Sons, vol. 39(7), pages 1520-1532, July.
  35. Abigail R Colson & Itamar Megiddo & Gerardo Alvarez-Uria & Sumanth Gandra & Tim Bedford & Alec Morton & Roger M Cooke & Ramanan Laxminarayan, 2019. "Quantifying uncertainty about future antimicrobial resistance: Comparing structured expert judgment and statistical forecasting methods," PLOS ONE, Public Library of Science, vol. 14(7), pages 1-18, July.
  36. Kragt, M.E. & Pannell, D.J. & McVittie, A. & Stott, A.W. & Vosough Ahmadi, B. & Wilson, P., 2016. "Improving interdisciplinary collaboration in bio-economic modelling for agricultural systems," Agricultural Systems, Elsevier, vol. 143(C), pages 217-224.
  37. Döpke, Jörg & Müller, Karsten & Tegtmeier, Lars, 2018. "The economic value of business cycle forecasts for potential investors – Evidence from Germany," Research in International Business and Finance, Elsevier, vol. 46(C), pages 445-461.
  38. Önkal, Dilek & Sinan Gönül, M. & Goodwin, Paul & Thomson, Mary & Öz, Esra, 2017. "Evaluating expert advice in forecasting: Users’ reactions to presumed vs. experienced credibility," International Journal of Forecasting, Elsevier, vol. 33(1), pages 280-297.
  39. Sulian Wang & Chen Wang, 2021. "Quantile Judgments of Lognormal Losses: An Experimental Investigation," Decision Analysis, INFORMS, vol. 18(1), pages 78-99, March.
  40. Rohit Aggarwal & Michael J Lee & Braxton Osting & Harpreet Singh, 2021. "Improving Funding Operations of Equity‐based Crowdfunding Platforms," Production and Operations Management, Production and Operations Management Society, vol. 30(11), pages 4121-4139, November.
IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.