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

Research output: Journal contributionsComments / Debate / ReportsResearch

Authors

  • Dawn Holford
  • Angelo Fasce
  • Marlene Wulf
  • Katy Tapper
  • Miso Demko
  • Stefan Lewandowski
  • Ulrike Hahn
  • Christoph M. Abels
  • Al-Rawi Ahmed
  • Alladin Sameer
  • Sonja T. Boender
  • Hendrik Bruns
  • Helen Fischer
  • Christian Gilde
  • Paul H.P. Hanel
  • Stefan M. Herzog
  • Sune Lehmann
  • Matthew S. Nurse
  • Caroline Orr
  • Niccolò Pescetelli
  • Maria Petrescu
  • Sunita Sa
  • Philipp Schmid
  • Miroslav Sirota
  • Marlene Wulf
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
JournalScience Communication
Volume45
Issue number4
Pages (from-to)539-554
Number of pages16
ISSN1075-5470
DOIs
Publication statusPublished - 08.2023

Bibliographical note

Publisher Copyright:
© The Author(s) 2023.

    Research areas

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

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