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 PescetelliMaria Petrescu, Sunita Sah, Philipp Schmid, Miroslav Sirota, Marlene Wulf

Research output: Contribution to journalComment/debatepeer-review

3 Scopus citations


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
Issue number4
StatePublished - Aug 2023

All Science Journal Classification (ASJC) codes

  • Sociology and Political Science


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


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