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Bibliography Arkes, H. R., J. L. Mumpower, and T. R. Stewart (1997). ence 275 (5299), 461–465. Combining expert opinions. Sci- Aspinall, W. (2010). A route to more tractable expert advice. Nature 463 (7279), 294–295. Bamber, J. L. and W. Aspinall (2013). An expert judgement assessment of future sea level rise from the ice sheets. Nature Climate Change 3 (4), 424–427. Betz, G. (2013). In defence of the value free ideal. European Journal for Philosophy of Science 3 (2), 207–220. Budnitz, R., G. Apostolakis, D. Boore, S. Clu↵, J. Coppersmith, and A. Morris (1997). Recommendations for probabilistic seismic hazard analysis: Guidance on uncertainty and use of experts. Technical Report NUREG/CR-6372, Lauwrence Livermore National Laboratory. Budnitz, R. J., G. Apostolakis, D. M. Boore, L. S. Clu↵, K. J. Coppersmith, C. A. Cornell, and P. A. Morris (1998). Use of technical expert panels: Applications to probabilistic seismic hazard analysis*. Risk Analysis 18 (4), 463–469. Clemen, R. T. and R. L. Winkler (1999). Combining probability distributions from experts in risk analysis. Risk analysis 19 (2), 187–203. Cooke, N. J. (1994). Varieties of knowledge elicitation techniques. International Journal of HumanComputer Studies 41 (6), 801–849. Cooke, R. and L. Goossens (2000). Procedures guide for structured expert judgment. project report, European Commission Nuclear Science and Technology. Cooke, R. M. (1991). Experts in uncertainty: opinion and subjective probability in science. Cooke, R. M. (2013). Uncertainty analysis comes to integrated assessment models for climate change. . . and conversely. Climatic change 117 (3), 467–479. Cooke, R. M. (2014). Deep and shallow uncertainty in messaging climate change. In R. Steenbergen, P. van Gelder, S. Miraglia, and A. Vrouwenvelder (Eds.), Safety, Reliability and Risk Analysis: Beyond the Horizon, pp. 13–25. CRC Press. Dietrich, F., C. List, et al. (2014). Probabilistic opinion pooling. Oxford Handbook of Probability and Philosophy . Funtowicz, S. O. and J. R. Ravetz (1990). Uncertainty and quality in science for policy, Volume 15. Springer. Garthwaite, P. H., J. B. Kadane, and A. O’Hagan (2005). Statistical methods for eliciting probability distributions. Journal of the American Statistical Association 100 (470), 680–701. Genest, C. and J. V. Zidek (1986). Combining probability distributions: A critique and an annotated bibliography. Statistical Science, 114–135. Goossens, L., R. Cooke, A. Hale, and L. Rodić-Wiersma (2008). Fifteen years of expert judgement at tudelft. Safety Science 46 (2), 234–244. 54 Gustafson, D. H., R. K. Shukla, A. Delbecq, and G. W. Walster (1973). A comparative study of di↵erences in subjective likelihood estimates made by individuals, interacting groups, delphi groups, and nominal groups. Organizational Behavior and Human Performance 9 (2), 280–291. Hannart, A., M. Ghil, J.-L. Dufresne, and P. Naveau (2013). Disconcerting learning on climate sensitivity and the uncertain future of uncertainty. Climatic change 119 (3-4), 585–601. Hassenzahl, D. M. (2006). Implications of excessive precision for risk comparisons: lessons from the past four decades. Risk analysis 26 (1), 265–276. Horton, B. P., S. Rahmstorf, S. E. Engelhart, and A. C. Kemp (2014). Expert assessment of sea-level rise by ad 2100 and ad 2300. Quaternary Science Reviews 84, 1–6. John, S. (2014). The example of the IPCC does not vindicate the value free ideal: a reply to Gregor Betz. European Journal for Philosophy of Science, 1–13. Kandlikar, M., J. Risbey, and S. Dessai (2005). Representing and communicating deep uncertainty in climate-change assessments. Comptes Rendus Geoscience 337 (4), 443–455. Kaplan, S. (1992). ‘expert information’versus ‘expert opinions’. another approach to the problem of eliciting/combining/using expert knowledge in pra. Reliability Engineering & System Safety 35 (1), 61–72. Keeney, R. L. and D. Von Winterfeldt (1989). On the uses of expert judgment on complex technical problems. Engineering Management, IEEE Transactions on 36 (2), 83–86. Keith, D. W. (1996). When is it appropriate to combine expert judgments? Climatic Change 33 (2), 139–143. Kerr, R. A. (1996). A new way to ask the experts—rating radioactive waste risks. Science 274 (5289), 913–914. Kriegler, E., J. W. Hall, H. Held, R. Dawson, and H. J. Schellnhuber (2009). Imprecise probability assessment of tipping points in the climate system. Proceedings of the National Academy of Sciences 106 (13), 5041–5046. Kurowicka, D. and R. M. Cooke (2006). Uncertainty analysis with high dimensional dependence modelling. John Wiley & Sons. Lempert, R. J. and M. T. Collins (2007). Managing the risk of uncertain threshold responses: comparison of robust, optimum, and precautionary approaches. Risk analysis 27 (4), 1009–1026. Lempert, R. J., D. G. Groves, and J. R. Fischbach (2013). Is it ethical to use a single probability density function? Lenton, T. M., H. Held, E. Kriegler, J. W. Hall, W. Lucht, S. Rahmstorf, and H. J. Schellnhuber (2008). Tipping elements in the earth’s climate system. Proceedings of the National Academy of Sciences 105 (6), 1786–1793. Magnus, P. D. (2013). What scientists know is not a function of what scientists know. Philosophy of Science 80 (5), pp. 840–849. McDaniels, T., T. Mills, R. Gregory, and D. Ohlson (2012). Using expert judgments to explore robust alternatives for forest management under climate change. Risk Analysis 32 (12), 2098–2112. 55 Millner, A., R. Calel, D. A. Stainforth, and G. MacKerron (2013). Do probabilistic expert elicitations capture scientists’ uncertainty about climate change? Climatic change 116 (2), 427–436. Morgan, M., M. Henrion, and M. Small (1990). Uncertainty: a guide to dealing with uncertainty in quantitative risk and policy analysis. 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 111 (20), 7176–7184. Morgan, M. G., P. J. Adams, and D. W. Keith (2006). Elicitation of expert judgments of aerosol forcing. Climatic Change 75 (1-2), 195–214. Morgan, M. G. and D. W. Keith (1995). Subjective judgments by climate experts. Environmental Science & Technology 29 (10), 468A–476A. Morgan, M. G., L. F. Pitelka, and E. Shevliakova (2001). Elicitation of expert judgments of climate change impacts on forest ecosystems. Climatic Change 49 (3), 279–307. Morgan (lead author), M. G., H. Dowlatabadi, M. Henrion, D. Keith, R. Lempert, S. McBride, M. Small, and T. Wilbanks (contributing authors) (2009). Best practice approaches for characterizing, communicating and incorporating scientific uncertainty in climate decision making. A report by the climate change science program and the subcommittee on global change research, National Oceanic and Atmospheric Administration. Moss, R. and S. Schneider (2000). Uncertainties in the ipcc tar. recommendations to lead authors for more consistent assessment and reporting. In R. Pachauri, T. Taniguchi, and K. Tanaka (Eds.), Guidance Papers on the Cross Cutting Issues of the Third Assessment Report of the IPCC, IPCC Supporting Material. World Meteorological Organization. Nau, R. F. (2002). The aggregation of imprecise probabilities. Journal of Statistical Planning and Inference 105 (1), 265–282. Nordhaus, W. D. (1994). Expert opinion on climatic change. American Scientist, 45–51. O’Hagan, A., C. E. Buck, A. Daneshkhah, J. R. Eiser, P. H. Garthwaite, D. J. Jenkinson, J. E. Oakley, and T. Rakow (2006). Uncertain judgements: eliciting experts’ probabilities. John Wiley & Sons. Oppenheimer, M., B. C. O’Neill, and M. Webster (2008). Negative learning. Climatic Change 89 (12), 155–172. Oppenheimer, M., B. C. O’Neill, M. Webster, and S. Agrawala (2007, September). The limits of consensus. Science Magazine’s State of the Planet 2008-2009: with a Special Section on Energy and Sustainability 317 (5844), 1505–1506. O’Reilly, J., K. Brysse, M. Oppenheimer, and N. Oreskes (2011). Characterizing uncertainty in expert assessments: ozone depletion and the west antarctic ice sheet. Wiley Interdisciplinary Reviews: Climate Change 2 (5), 728–743. Oreskes, N., D. A. Stainforth, and L. A. Smith (2010). Adaptation to global warming: do climate models tell us what we need to know? Philosophy of Science 77 (5), 1012–1028. Patt, A. G. (1999). Extreme outcomes: the strategic treatment of low probability events in scientific assessments. Risk Decision and Policy 4 (1), 1–15. 56 Patt, A. G. and E. U. Weber (2014). Perceptions and communication strategies for the many uncertainties relevant for climate policy. Wiley Interdisciplinary Reviews: Climate Change 5 (2), 219–232. Phillips, L. D. (1999). Group elicitation of probability distributions: Are many heads better than one? Decision Science and Technology: Reflections on the Contributions of Ward Edwards, 313. Refsgaard, J. C., J. P. Van der Sluijs, J. Brown, and P. Van der Keur (2006). A framework for dealing with uncertainty due to model structure error. Advances in Water Resources 29 (11), 1586–1597. Reilly, J., P. H. Stone, C. E. Forest, M. D. Webster, H. D. Jacoby, and R. G. Prinn (2001). Uncertainty and climate change assessments. Science 293 (5529), 430–433. Risbey, J. S. and M. Kandlikar (2007). Expressions of likelihood and confidence in the ipcc uncertainty assessment process. Climatic Change 85 (1-2), 19–31. Rowe, G. and G. Wright (1999). The delphi technique as a forecasting tool: issues and analysis. International journal of forecasting 15 (4), 353–375. Shapiro, H. T., R. Diab, C. de Brito Cruz, M. Cropper, J. Fang, L. Fresco, S. Manabe, G. Mehta, M. Molina, P. Williams, et al. (2010). Climate change assessments: Review of the processes and procedures of the IPCC. Technical report, InterAcademy Council, Amsterdam. Smith, L. A. and A. C. Petersen (2014). Variations on reliability: Connecting climate predictions to climate policy. In M. Boumans, G. Hon, and A. C. Petersen (Eds.), Error and Uncertainty in Scientific Practice, pp. 137–156. Pickering & Chatto Publishers. Smith, L. A. and N. Stern (2011). Uncertainty in science and its role in climate policy. Philosophical transactions of the Royal Society A: mathematical, physical and engineering sciences 369 (1956), 4818–4841. Soll, J. B. and J. Klayman (2004). Overconfidence in interval estimates. Journal of Experimental Psychology: Learning, Memory, and Cognition 30 (2), 299. Speirs-Bridge, A., F. Fidler, M. McBride, L. Flander, G. Cumming, and M. Burgman (2010). Reducing overconfidence in the interval judgments of experts. Risk Analysis 30 (3), 512–523. Spiegelhalter, D. J. and H. Riesch (2011). Don’t know, can’t know: embracing deeper uncertainties when analysing risks. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences 369 (1956), 4730–4750. Steele, K. (2012). The scientist qua policy advisor makes value judgments. Philosophy of Science 79 (5), 893–904. Teigen, K. H. and M. Jørgensen (2005). When 90% confidence intervals are 50% certain: On the credibility of credible intervals. Applied Cognitive Psychology 19 (4), 455–475. Titus, J. G. and V. Narayanan (1996). The risk of sea level rise: A delphic monte carlo analysis in which twenty researchers specify subjective probability distributionsfor model coefficients within their respective areas of expertise. Climatic Change 33 (2), 151–212. Vaughan, D. G. and J. R. Spouge (2002). Risk estimation of collapse of the west antarctic ice sheet. Climatic Change 52 (1-2), 65–91. 57 Webster, M. (2009). Uncertainty and the IPCC. an editorial comment. Climatic Change 92 (1-2), 37–40. Weitzman, M. L. (2001). Gamma discounting. American Economic Review , 260–271. Zickfeld, K., A. Levermann, M. G. Morgan, T. Kuhlbrodt, S. Rahmstorf, and D. W. Keith (2007). Expert judgements on the response of the atlantic meridional overturning circulation to climate change. Climatic Change 82 (3-4), 235–265. Zickfeld, K., M. G. Morgan, D. J. Frame, and D. W. Keith (2010). Expert judgments about transient climate response to alternative future trajectories of radiative forcing. Proceedings of the National Academy of Sciences 107 (28), 12451–12456. 58