Visualizing Uncertainty About the Future
By David J. Spiegelhalter, Mike Pearson, I. Short. Science, 2011
627 citations recorded by the source corpus.
Subfields: Computer Vision and Pattern Recognition, Global and Planetary Change, Sociology and Political Science
View Paper: https://www.semanticscholar.org/paper/6ba99894992fd7d4c6d8a26b7b45be2592d7d732
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Computer Vision and Pattern Recognition
In Global and Planetary Change
- Till Grüne-Yanoff
- Leonhard Held
- D. Demeritt
- S. Nobert
- David J. Spiegelhalter
- Andrea Riebler
- S. Dessai
- W. Bruine de Bruin
In Sociology and Political Science
- Ellen Peters
- Ralph Hertwig
- David J. Spiegelhalter
- Isaac Lipkus
- Till Grüne-Yanoff
- D. Demeritt
- S. Nobert
- Mirta Galesic
Citations in the corpus
- Models of best practice in flood risk communication and management (2014, background): “…merits for communicating medical risks of relative versus absolute risk measures and of natural frequencies as against statistical probabilities (Spiegelhalter et al., 2011; Visschers, Meertens, Passchier, & De Vries, 2009), these questions are much less researched for hydrometeorological…”
- Projecting the future burden of cancer: Bayesian age–period–cohort analysis with integrated nested Laplace approximations (2017, background): “The different shadings indicate pointwise credible intervals (Spiegelhalter et al., 2011).”
- Presenting quantitative information about decision outcomes: a risk communication primer for patient decision aid developers (2013, background): “Although the use of visual displays is often recommended as an aid to interpretation for numerical data [59,60], one important caveat is that people vary in their ability to extract data and meaning from visual displays.”
- Public perception of climate risk and adaptation in the UK: A review of the literature (2014, background): “Although a full discussion of these is beyond the scope of the present review, we echo the point made by Spiegelhalter et al. (2011) that it is important to fully test how communications regarding risk will be interpreted before disseminating them.”
- Nudging and Boosting: Steering or Empowering Good Decisions (2017, background): “, Hogarth & Soyer, 2015; Kaufmann, Weber, & Haisley, 2013), (c) representations that avoid biasing framing effects (e.g., absolute instead of relative frequencies; Gigerenzer et al., 2007; Spiegelhalter et al., 2011), (d) brief training in transforming opaque representations (e.”
- Visual Semiotics & Uncertainty Visualization: An Empirical Study (2012, background): “Research on uncertainty visualization has a long history [e.g., 10, 11, 12, 13, 14] and remains an active research topic within both Information Visualization and Cartography [9] [15] [16] [17] [18] [19] [20] [21].”
- Risk and Uncertainty Communication (2017, background): “…many systematic and nonsystematic reviews of the use of graphics in risk communication, primarily in the health fields (Ancker et al. 2006, Visschers et al. 2009, Spiegelhalter et al. 2011, Hildon et al. 2012, Stephens et al. 2012, Trevena et al. 2013, Zipkin et al. 2014, Hallgreen et al. 2016).”