Proc Natl Acad Sci U S A. 2014 Sep 16;111 Suppl 4:13664-71. doi: 10.1073/pnas.1317504111. Epub 2014 Sep 15.
Communicating scientific uncertainty.
Author information
- 1Departments of Engineering and Public Policy and Social and Decision Sciences, Carnegie Mellon University, Pittsburgh, PA 15213-3890 baruch@cmu.edu.
- 2Departments of Engineering and Public Policy and.
Abstract
All science has uncertainty. Unless that uncertainty is communicated effectively, decision makers may put too much or too little faith in it. The information that needs to be communicated depends on the decisions that people face. Are they (i) looking for a signal (e.g., whether to evacuate before a hurricane), (ii) choosing among fixed options (e.g., which medical treatment is best), or (iii) learning to create options (e.g., how to regulate nanotechnology)? We examine these three classes of decisions in terms of how to characterize, assess, and convey the uncertainties relevant to each. We then offer a protocol for summarizing the many possible sources of uncertainty in standard terms, designed to impose a minimal burden on scientists, while gradually educating those whose decisions depend on their work. Its goals are better decisions, better science, and better support for science.
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