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The CLAIRE COVID-19...
The CLAIRE COVID-19 initiative : approach, experiences and recommendations
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- Bontempi, Gianluca (author)
- Computer Science Department, Machine Learning Group, Université Libre de Bruxelles, Bruxelles, Belgium
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- Chavarriaga, Ricardo (author)
- CLAIRE Office Switzerland, Geneva Center for Security Policy (GCSP), IEEE Brain Initiative, Zurich University of Applied Sciences (ZHAW), Winterthur, Switzerland
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- 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
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- Hoos, Holger (author)
- Leiden Institute of Advanced Computer Science (LIACS), Universiteit Leiden, The Netherlands and University of British Columbia, Vancouver, Canada
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- Kilbane-Dawe, Iarla (author)
- Parliament Hill Research Ltd, London, UK
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- Ball, Tonio (author)
- Neuromedical AI Lab Freiburg, Freiburg, Germany
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- Nowé, Ann (author)
- AI Lab, Vrije Universiteit Brussel, Brussel, Belgium
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- Sousa, Jose (author)
- Faculty of Medicine, Health and Life Sciences, Queen's University Belfast, Belfast, UK
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- Bacciu, Davide (author)
- Computational Intelligence and Machine Learning Group, Universita'di Pisa, Pisa, Italy
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- Aldinucci, Marco (author)
- Computer Science Department, University of Torino, Torino, Italy
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- eD Domenico, Manlio (author)
- Complex Multilayer Networks Lab, FBK - Fondazione Bruno Kessler, Kessler, Italy
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- Saffiotti, Alessandro, Professor, 1960- (author)
- Örebro universitet,Institutionen för naturvetenskap och teknik,AASS Cognitive Robotic Systems Lab
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- 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.
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In: Ethics and Information Technology. - : Springer. - 1388-1957 .- 1572-8439. ; 23:Suppl. 1, s. 127-133
- Related links:
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https://doi.org/10.1...
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https://link.springe...
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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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- By the author/editor
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Bontempi, Gianlu ...
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Chavarriaga, Ric ...
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eD Canck, Hans
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Girardi, Emanuel ...
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Hoos, Holger
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Kilbane-Dawe, Ia ...
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show more...
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Ball, Tonio
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Nowé, Ann
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Sousa, Jose
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Bacciu, Davide
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Aldinucci, Marco
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eD Domenico, Man ...
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Saffiotti, Aless ...
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Maratea, Marco
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- About the subject
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- NATURAL SCIENCES
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NATURAL SCIENCES
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and Computer and Inf ...
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and Software Enginee ...
- Articles in the publication
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Ethics and Infor ...
- By the university
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Örebro University