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The CLAIRE COVID-19 initiative : approach, experiences and recommendations

Bontempi, Gianluca (author)
Computer Science Department, Machine Learning Group, Université Libre de Bruxelles, Bruxelles, Belgium
Chavarriaga, Ricardo (author)
CLAIRE Office Switzerland, Geneva Center for Security Policy (GCSP), IEEE Brain Initiative, Zurich University of Applied Sciences (ZHAW), Winterthur, Switzerland
eD Canck, Hans (author)
CLAIRE Office Belgium, Vrije Universiteit Brussel, AI Experience Center / AI for the Common Good Initiative, Ixelles, Belgium
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Girardi, Emanuela (author)
Pop AI, Torino, Italy
Hoos, Holger (author)
Leiden Institute of Advanced Computer Science (LIACS), Universiteit Leiden, The Netherlands and University of British Columbia, Vancouver, Canada
Kilbane-Dawe, Iarla (author)
Parliament Hill Research Ltd, London, UK
Ball, Tonio (author)
Neuromedical AI Lab Freiburg, Freiburg, Germany
Nowé, Ann (author)
AI Lab, Vrije Universiteit Brussel, Brussel, Belgium
Sousa, Jose (author)
Faculty of Medicine, Health and Life Sciences, Queen's University Belfast, Belfast, UK
Bacciu, Davide (author)
Computational Intelligence and Machine Learning Group, Universita'di Pisa, Pisa, Italy
Aldinucci, Marco (author)
Computer Science Department, University of Torino, Torino, Italy
eD Domenico, Manlio (author)
Complex Multilayer Networks Lab, FBK - Fondazione Bruno Kessler, Kessler, Italy
Saffiotti, Alessandro, Professor, 1960- (author)
Örebro universitet,Institutionen för naturvetenskap och teknik,AASS Cognitive Robotic Systems Lab
Maratea, Marco (author)
Dipartimento Di Informatica, Bioingegneria, Roboticae Ingegneria Dei Sistemi, University Genova, Genova, Italy
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 (creator_code:org_t)
2021-02-09
2021
English.
In: Ethics and Information Technology. - : Springer. - 1388-1957 .- 1572-8439. ; 23:Suppl. 1, s. 127-133
Related links:
https://doi.org/10.1...
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https://urn.kb.se/re...
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  • Journal article (peer-reviewed)
Abstract Subject headings
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  • A volunteer effort by Artificial Intelligence (AI) researchers has shown it can deliver significant research outcomes rapidly to help tackle COVID-19. Within two months, CLAIRE's self-organising volunteers delivered the World's first comprehensive curated repository of COVID-19-related datasets useful for drug-repurposing, drafted review papers on the role CT/X-ray scan analysis and robotics could play, and progressed research in other areas. Given the pace required and nature of voluntary efforts, the teams faced a number of challenges. These offer insights in how better to prepare for future volunteer scientific efforts and large scale, data-dependent AI collaborations in general. We offer seven recommendations on how to best leverage such efforts and collaborations in the context of managing future crises.

Subject headings

NATURVETENSKAP  -- Data- och informationsvetenskap -- Programvaruteknik (hsv//swe)
NATURAL SCIENCES  -- Computer and Information Sciences -- Software Engineering (hsv//eng)

Keyword

Artificial intelligence
COVID-19
Emergency response

Publication and Content Type

ref (subject category)
art (subject category)

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