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Science Communication as a Collective Intelligence Endeavor: A Manifesto and Examples for Implementation

  • Dawn Liu Holford (Contributor)
  • Angelo Fasce (Contributor)
  • Katy Tapper (Contributor)
  • Miso Demko (Contributor)
  • Stephan Lewandowsky (Contributor)
  • Ulrike Hahn (Contributor)
  • Christoph M. Abels (Contributor)
  • Ahmed Al-Rawi (Contributor)
  • Sameer Alladin (Contributor)
  • T. Sonia Boender (Contributor)
  • Hendrik Bruns (Contributor)
  • Helen Fischer (Contributor)
  • Christian Gilde (Contributor)
  • Paul H.P. Hanel (Contributor)
  • Stefan M. Herzog (Contributor)
  • Astrid Kause (Contributor)
  • Sune Lehmann (Contributor)
  • Matthew S. Nurse (Contributor)
  • Caroline H. Orr (Contributor)
  • Niccolo Pescetelli (Contributor)
  • Maria Petrescu (Contributor)
  • Sunita Sah (Contributor)
  • Philipp Schmid (Contributor)
  • Miroslav Sirota (Contributor)
  • Marlene Wulf (Contributor)

Dataset

Description

Effective science communication is challenging when scientific messages are informed by a continually updating evidence base and must often compete against misinformation. We argue that we need a new program of science communication as collective intelligence—a collaborative approach, supported by technology. This would have four key advantages over the typical model where scientists communicate as individuals: scientific messages would be informed by (a) a wider base of aggregated knowledge, (b) contributions from a diverse scientific community, (c) participatory input from stakeholders, and (d) better responsiveness to ongoing changes in the state of knowledge.
Date made available2023
PublisherSAGE Publications Ltd

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