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

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

Research output: Contribution to journalComment/debatepeer-review

Abstract

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.

Original languageEnglish (US)
Pages (from-to)539-554
Number of pages16
JournalScience Communication
Volume45
Issue number4
DOIs
StatePublished - Aug 2023

All Science Journal Classification (ASJC) codes

  • Sociology and Political Science

Keywords

  • collective intelligence
  • epistemic diversity
  • knowledge aggregation
  • knowledge updating
  • participatory input
  • science communication

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