Communicating uncertainty information across conceptual boundaries

Information about data collection and modeling risks are frequently locked with information providers rather than shared with downstream information consumers. Information consumers often ingest products automatically. Without protocols to inject uncertainty, the ensemble modeling products common in the modeling discipline cannot accurately account for the input uncertainty inherent to those products. Future work to establish use cases and incorporate practitioner-driven rules and protocols for transmitting tiered uncertainty information between information product producers and consumers will advance the needs of environmental, social, and economic actors in the ensemble modeling production chain. This in turn will allow for improved error transmission throughout the decision making enterprise.

[1]  George A. Akerlof.  The Market for “Lemons”: Quality Uncertainty and the Market Mechanism , 1970 .

[2]  David X. Li.  On Default Correlation , 2000 .

[3]  Anthony Patt,et al.  Using Specific Language to Describe Risk and Probability , 2003 .

[4]  Roger M. Cooke,et al.  On the performance of social network and likelihood-based expert weighting schemes , 2008, Reliab. Eng. Syst. Saf..

[5]  Arthur Petersen,et al.  Agreeing to disagree: uncertainty management in assessing climate change, impacts and responses by the IPCC , 2009 .

[6]  C. Bitz.  Some Aspects of Uncertainty in Predicting Sea Ice Thinning , 2013 .

[7]  O. O’neill,et al.  A question of trust. , 2000, Nursing standard (Royal College of Nursing (Great Britain) : 1987).

[8]  Helen Couclelis,et al.  The Certainty of Uncertainty: GIS and the Limits of Geographic Knowledge , 2003, Trans. GIS.

[9]  Vladik Kreinovich,et al.  Eliminating Duplicates under Interval and Fuzzy Uncertainty: An Asymptotically Optimal Algorithm and Its Geospatial Applications , 2004, Reliab. Comput..

[10]  S. Standard.  GUIDE TO THE EXPRESSION OF UNCERTAINTY IN MEASUREMENT , 2006 .

[11]  Lee W. Schruben.  Graphical Simulation Modeling and Analysis: Using Sigma for Windows (The Scientific Press Series) , 1995 .

[12]  J. Riley,et al.  The Analytics of Uncertainty and Information- An Expository Survey , 1979 .

[13]  Mark Gahegan,et al.  Visualizing Geospatial Information Uncertainty: What We Know and What We Need to Know , 2005 .

[14]  D. G. Robinson.  A survey of probabilistic methods used in reliability, risk and uncertainty analysis: Analytical techniques 1 , 1998 .

[15]  H. Markowitz.  Portfolio Selection: Efficient Diversification of Investments , 1971 .

[16]  A. Stuart,et al.  Portfolio Selection: Efficient Diversification of Investments , 1959 .

[17]  M. Worboys.  Computation with imprecise geospatial data , 1998 .

[18]  Thomas E. Patterson,et al.  The vanishing voter : public involvement in an age of uncertainty , 2002 .

[19]  S. Goldman,et al.  A Vast Machine: Computer Models, Climate Data, and the Politics of Global Warming , 2011 .

[20]  P. Tetlock.  Expert Political Judgment: How Good Is It? How Can We Know? , 2005 .

[21]  Peter M. Harris,et al.  Evolution of the ‘Guide to the Expression of Uncertainty in Measurement’ , 2006 .

[22]  Martin R. Manning,et al.  The Difficulty of Communicating Uncertainty , 2003 .

[23]  Lawrence M Leemis,et al.  Univariate Distribution Relationships , 2008 .

[24]  T. Gneiting,et al.  Combining probability forecasts , 2010 .

[25]  N. Taleb.  Black Swans and the Domains of Statistics , 2007 .

[26]  Mitchell J. Small,et al.  Best Practice Approaches for Characterizing, Communicating, and Incorporating Scientific Uncertainty in Decision Making , 2009 .

[27]  Felix Salmon.  The formula that killed Wall Street , 2012 .

[28]  B. Schwartz.  The Paradox of Choice: Why More Is Less , 2004 .

[29]  David M. Pennock,et al.  An Empirical Comparison of Algorithms for Aggregating Expert Predictions , 2006, UAI.

[30]  A. Tversky,et al.  Advances in prospect theory: Cumulative representation of uncertainty , 1992 .

[31]  M. Gross.  Ignorance and Surprise: Science, Society, and Ecological Design , 2010 .

[32]  William Horwitz.  The certainty of uncertainty. , 2003, Journal of AOAC International.

[33]  M. G. Hofle,et al.  Adams, W.M. 2006. "The Future of Sustainability: Re-thinking Environment and Development in the Twenty-first Century." Report of the IUCN Renowned Thinkers , 2010 .

[34]  Paul C. Tetlock,et al.  The Promise of Prediction Markets , 2008, Science.

[35]  W. Adams.  The Future of Sustainability: Re-thinking Environment and Development in the Twenty-first Century , 2006 .

[36]  Mark Gahegan,et al.  A typology for visualizing uncertainty , 2005, IS&T/SPIE Electronic Imaging.

[37]  Helen M. Regan,et al.  A TAXONOMY AND TREATMENT OF UNCERTAINTY FOR ECOLOGY AND CONSERVATION BIOLOGY , 2002 .

[38]  Nassim Nicholas Taleb,et al.  The Black Swan: The Impact of the Highly Improbable , 2007 .

[39]  T. Mann.  The Black Swan , 1954 .

[40]  Rebecca E. Morss,et al.  Communicating Uncertainty in Weather Forecasts: A Survey of the U.S. Public , 2008 .

[41]  Gerd Gigerenzer,et al.  “A 30% Chance of Rain Tomorrow”: How Does the Public Understand Probabilistic Weather Forecasts? , 2005, Risk analysis : an official publication of the Society for Risk Analysis.

[42]  Verena Prebil,et al.  [A question of trust]. , 2007, Krankenpflege. Soins infirmiers.

[43]  Averill M. Law,et al.  Simulation Modeling and Analysis , 1982 .

[44]  Ignacio Lira,et al.  Bayesian assessment of uncertainty in metrology: a tutorial , 2010 .

[45]  F. Knight.  The economic nature of the firm: From Risk, Uncertainty, and Profit , 2009 .

[46]  Stefan Leyk,et al.  A Conceptual Framework for Uncertainty Investigation in Map‐based Land Cover Change Modelling , 2005, Trans. GIS.