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

doi:10.1177/10755470231162634

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

Humanities and Social Sciences

Research output: Contribution to journal › Comment/debate › peer-review

5 Scopus citations

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 language	English (US)
Pages (from-to)	539-554
Number of pages	16
Journal	Science Communication
Volume	45
Issue number	4
DOIs	https://doi.org/10.1177/10755470231162634
State	Published - 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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10.1177/10755470231162634

Cite this

Holford, D., Fasce, A., Tapper, K., Demko, M., Lewandowsky, S., Hahn, U., Abels, C. M., Al-Rawi, A., Alladin, S., Sonia Boender, T., Bruns, H., Fischer, H., Gilde, C., Hanel, P. H. P., Herzog, S. M., Kause, A., Lehmann, S., Nurse, M. S., Orr, C., ... Wulf, M. (2023). Science Communication as a Collective Intelligence Endeavor: A Manifesto and Examples for Implementation. Science Communication, 45(4), 539-554. https://doi.org/10.1177/10755470231162634

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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.",

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

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year = "2023",

month = aug,

doi = "10.1177/10755470231162634",

language = "English (US)",

volume = "45",

pages = "539--554",

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Holford, D, Fasce, A, Tapper, K, Demko, M, Lewandowsky, S, Hahn, U, Abels, CM, Al-Rawi, A, Alladin, S, Sonia Boender, T, Bruns, H, Fischer, H, Gilde, C, Hanel, PHP, Herzog, SM, Kause, A, Lehmann, S, Nurse, MS, Orr, C, Pescetelli, N, Petrescu, M, Sah, S, Schmid, P, Sirota, M & Wulf, M 2023, 'Science Communication as a Collective Intelligence Endeavor: A Manifesto and Examples for Implementation', Science Communication, vol. 45, no. 4, pp. 539-554. https://doi.org/10.1177/10755470231162634

TY - JOUR

T1 - Science Communication as a Collective Intelligence Endeavor

T2 - A Manifesto and Examples for Implementation

AU - Holford, Dawn

AU - Fasce, Angelo

AU - Tapper, Katy

AU - Demko, Miso

AU - Lewandowsky, Stephan

AU - Hahn, Ulrike

AU - Abels, Christoph M.

AU - Al-Rawi, Ahmed

AU - Alladin, Sameer

AU - Sonia Boender, T.

AU - Bruns, Hendrik

AU - Fischer, Helen

AU - Gilde, Christian

AU - Hanel, Paul H.P.

AU - Herzog, Stefan M.

AU - Kause, Astrid

AU - Lehmann, Sune

AU - Nurse, Matthew S.

AU - Orr, Caroline

AU - Pescetelli, Niccolò

AU - Petrescu, Maria

AU - Sah, Sunita

AU - Schmid, Philipp

AU - Sirota, Miroslav

AU - Wulf, Marlene

PY - 2023/8

Y1 - 2023/8

N2 - 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.

AB - 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.

KW - collective intelligence

KW - epistemic diversity

KW - knowledge aggregation

KW - knowledge updating

KW - participatory input

KW - science communication

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JO - Science Communication

JF - Science Communication

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ER -

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

Abstract

All Science Journal Classification (ASJC) codes

Keywords

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