Data

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

The University of Western Australia
Holford, Dawn ; Fasce, Angelo ; Tapper, Katy ; Demko, Miso ; Lewandowsky, Stephan ; Hahn, Ulrike ; Abels, Christoph M. ; Al-Rawi, Ahmed ; Alladin, Sameer ; Sonia Boender, T. ; Bruns, Hendrik ; Fischer, Helen ; Gilde, Christian ; Hanel, Paul H. P. ; Herzog, Stefan M. ; Kause, Astrid ; Lehmann, Sune ; Nurse, Matthew S. ; Orr, Caroline ; Pescetelli, Niccolò ; Petrescu, Maria ; Sah, Sunita ; Schmid, Philipp ; Sirota, Miroslav ; Wulf, Marlene
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ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rfr_id=info%3Asid%2FANDS&rft_id=info:doi10.25384/sage.c.6564763&rft.title=Science Communication as a Collective Intelligence Endeavor: A Manifesto and Examples for Implementation&rft.identifier=10.25384/sage.c.6564763&rft.publisher=SAGE Publications Ltd&rft.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.&rft.creator=Holford, Dawn &rft.creator=Fasce, Angelo &rft.creator=Tapper, Katy &rft.creator=Demko, Miso &rft.creator=Lewandowsky, Stephan &rft.creator=Hahn, Ulrike &rft.creator=Abels, Christoph M. &rft.creator=Al-Rawi, Ahmed &rft.creator=Alladin, Sameer &rft.creator=Sonia Boender, T. &rft.creator=Bruns, Hendrik &rft.creator=Fischer, Helen &rft.creator=Gilde, Christian &rft.creator=Hanel, Paul H. P. &rft.creator=Herzog, Stefan M. &rft.creator=Kause, Astrid &rft.creator=Lehmann, Sune &rft.creator=Nurse, Matthew S. &rft.creator=Orr, Caroline &rft.creator=Pescetelli, Niccolò &rft.creator=Petrescu, Maria &rft.creator=Sah, Sunita &rft.creator=Schmid, Philipp &rft.creator=Sirota, Miroslav &rft.creator=Wulf, Marlene &rft.date=2023&rft.type=dataset&rft.language=English Access the data

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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.

Notes

External Organisations
University of Essex; University of Copenhagen; University of Erfurt
Associated Persons
Dawn Holford (Contributor); Angelo Fasce (Contributor); Katy Tapper (Contributor); Miso Demko (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 Orr (Contributor); Niccolò Pescetelli (Contributor); Maria Petrescu (Contributor); Sunita Sah (Contributor); Philipp Schmid (Contributor); Miroslav Sirota (Contributor); Marlene Wulf (Contributor)

Issued: 2023

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

url : http://research-repository.uwa.edu.au/en/publications/8fda9a58-b2e5-405d-9ac3-5ed738ced8de

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Identifiers
ACN 633 798 857