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Communicating Uncertainty: A Challenge for Science Communication

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Part of the book series: Advances in Natural and Technological Hazards Research ((NTHR,volume 45))

Abstract

Uncertainty is supposed to be the most underrated element of science communication. While being a crucial part of scientific research, uncertainty is perceived by the recipients of science communication as unwanted and prone to create mistakes and malfunction in everyday life. Nevertheless, uncertainty can and should play a significant role in science communication. A growing number of studies deals with different aspects of uncertainty and gives valuable ideas on how to implement the concept of uncertainty into science interpretation and communication. This article will draw the attention to the multidimensional characteristics of uncertainty. Since decision-makers have to consider variability, uncertainty, and probability into feasibility analysis, we show that the communication of the scientific surplus value of these concepts must be centered within modern science communication efforts. A special focus will be on the use of the concepts of uncertainty and variability within interpretive and educational programs in museum environments.

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Notes

  1. 1.

    Walker et al. (2003, p. 5) provide a “general definition of uncertainty as being any deviation from the unachievable ideal of completely deterministic knowledge of the relevant system.”

  2. 2.

    May (2001, p. 891) comments the necessity of communicating uncertainty in his column for Nature, in which he states that “it helps to recognize, and explicitly acknowledge, these uncertainties .”

  3. 3.

    Thompson distinguishes between variability and uncertainty . Nevertheless, he shows that both concepts have similar impact on risk communication – therefore, it is justifiable that for the purpose of this article, both concepts are combined into the term “uncertainty.”

  4. 4.

    By interpreting numerous studies by anthropologists, psychologists, economists, and neuroscientists, Tucker reasons, “…that recent research in neuroscience and in the evolutionary social sciences is developing just such an explanatory and predictive theory.” He does not explicitly quote such studies, by mentions, that they are “… providing broad-based experimental and observational support for this new perspective” (Tucker and Ferson 2008, p. 10).

  5. 5.

    An interesting study about the impact of Astroturf communication has been conducted by Cho et al. (2011). They also give a detailed summary of recent research on astroturfing.

  6. 6.

    Uncertainty: something that is doubtful or unknown, retrieved from Merriam-Webster, www.merriam-webster.com (Merriam-Webster. www.merriam-webster.com. Accessed 1 Jul 2014).

  7. 7.

    Other models for overarching framing effects include, for example, the concept of post-normal science by Funtowicz and Ravetz (1991).

  8. 8.

    Kuhn refers to the prospect theory, developed by Kahneman and Tversky (1979), as well as to the decision-making model by Einhorn and Hogarth (1985) who introduced the individual attitude towards vagueness and its implications on the decision-making process (described as an overarching gain/loss framing effect).

  9. 9.

    See Weingart (2005) for a detailed analysis of the increased orientation of science towards the media.

  10. 10.

    See Rödder and Schäfer (2010) for a brief introduction into ongoing debates about mediatization.

  11. 11.

    Patt and Schrag showed this in an experiment, which used the Third Assessment Report by the Intergovernmental Panel on Climate Change (IPCC). They finally asked if the IPCC intentionally misused wording to lead readers to underestimate the probability of high-magnitude possible outcomes (Patt and Schrag 2003).

  12. 12.

    A critical review on the visual representation of information can be found in Bresciani and Eppler (2008). A case study with an elaborated review of extant literature about the use and perception of text versus graphics is presented by Hochpöchler et al. (2013).

  13. 13.

    A comprehensive review of extant literature, for example, on the relation between color and psychological functioning can be found in Elliot et al. (2007).

  14. 14.

    For a brief summary of various researches on the effects of graphic visualization for risk and uncertainty communication , see Bostrom et al. (2008).

  15. 15.

    See, for example, Gigerenzer (2002), Lofstedt and Cvetkovich (1999), or Ropeik and Gray (2002).

  16. 16.

    Additional cases of uncertainty include fuzzy uncertainty or hybrid uncertainty (Warren 2007) and other approaches to classify uncertainty.

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Correspondence to Simon Schneider Dipl. .

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Schneider, S. (2016). Communicating Uncertainty: A Challenge for Science Communication. In: Drake, J., Kontar, Y., Eichelberger, J., Rupp, T., Taylor, K. (eds) Communicating Climate-Change and Natural Hazard Risk and Cultivating Resilience. Advances in Natural and Technological Hazards Research, vol 45. Springer, Cham. https://doi.org/10.1007/978-3-319-20161-0_17

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