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Bringing values and deliberation to science communication.

Thomas Dietz1

  • 1Environmental Science and Policy, Sociology, and Animal Studies, Michigan State University, East Lansing, MI 48824, USA. tdietz@msu.edu

Proceedings of the National Academy of Sciences of the United States of America
|August 14, 2013
PubMed
Summary
This summary is machine-generated.

Effective science communication requires addressing both facts and values, not just facts. Integrating scientific analysis with public deliberation iteratively aids decision-making, though scaling and value reconciliation pose challenges.

Keywords:
analytic deliberationclimate changeenvironmental decision makingtrust in science

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Area of Science:

  • Science communication
  • Decision science
  • Public participation

Background:

  • Traditional science communication often prioritizes factual information over values.
  • Decisions are inherently influenced by both factual evidence and underlying values.
  • Public participation in scientific matters necessitates engagement with both facts and values.

Purpose of the Study:

  • To evaluate the effectiveness of integrating scientific analysis with public deliberation for decision-making.
  • To explore how science communication can better address both factual and value components of decisions.
  • To identify challenges in scaling participatory science communication processes.

Main Methods:

  • Review of research on public participation in science.
  • Analysis of the interplay between scientific data and public values in decision-making.
  • Exploration of iterative processes linking scientific analysis and public deliberation.

Main Results:

  • Linking scientific analysis and public deliberation is an effective strategy for science communication.
  • This integrated approach helps decision-making processes manage both facts and values.
  • Challenges include implementation at large scales, building trust, and harmonizing diverse values.

Conclusions:

  • Science communication must competently handle both facts and values to inform decisions effectively.
  • Iterative processes combining analysis and deliberation offer a robust model for science communication.
  • Addressing scalability, trust, and value diversity is crucial for future implementation.