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

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 usef...

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Autores principales: Bontempi, Gianluca, Chavarriaga, Ricardo, eD Canck, Hans, Girardi, Emanuela, Hoos, Holger, Kilbane-Dawe, Iarla, Ball, Tonio, Nowé, Ann, Sousa, Jose, Bacciu, Davide, Aldinucci, Marco, eD Domenico, Manlio, Saffiotti, Alessandro, Maratea, Marco
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Netherlands 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7871022/
https://www.ncbi.nlm.nih.gov/pubmed/33584129
http://dx.doi.org/10.1007/s10676-020-09567-7
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author Bontempi, Gianluca
Chavarriaga, Ricardo
eD Canck, Hans
Girardi, Emanuela
Hoos, Holger
Kilbane-Dawe, Iarla
Ball, Tonio
Nowé, Ann
Sousa, Jose
Bacciu, Davide
Aldinucci, Marco
eD Domenico, Manlio
Saffiotti, Alessandro
Maratea, Marco
author_facet Bontempi, Gianluca
Chavarriaga, Ricardo
eD Canck, Hans
Girardi, Emanuela
Hoos, Holger
Kilbane-Dawe, Iarla
Ball, Tonio
Nowé, Ann
Sousa, Jose
Bacciu, Davide
Aldinucci, Marco
eD Domenico, Manlio
Saffiotti, Alessandro
Maratea, Marco
author_sort Bontempi, Gianluca
collection PubMed
description 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.
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spelling pubmed-78710222021-02-09 The CLAIRE COVID-19 initiative: approach, experiences and recommendations Bontempi, Gianluca Chavarriaga, Ricardo eD Canck, Hans Girardi, Emanuela Hoos, Holger Kilbane-Dawe, Iarla Ball, Tonio Nowé, Ann Sousa, Jose Bacciu, Davide Aldinucci, Marco eD Domenico, Manlio Saffiotti, Alessandro Maratea, Marco Ethics Inf Technol Short Communication 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. Springer Netherlands 2021-02-09 2021 /pmc/articles/PMC7871022/ /pubmed/33584129 http://dx.doi.org/10.1007/s10676-020-09567-7 Text en © Springer Nature B.V. 2021 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.
spellingShingle Short Communication
Bontempi, Gianluca
Chavarriaga, Ricardo
eD Canck, Hans
Girardi, Emanuela
Hoos, Holger
Kilbane-Dawe, Iarla
Ball, Tonio
Nowé, Ann
Sousa, Jose
Bacciu, Davide
Aldinucci, Marco
eD Domenico, Manlio
Saffiotti, Alessandro
Maratea, Marco
The CLAIRE COVID-19 initiative: approach, experiences and recommendations
title The CLAIRE COVID-19 initiative: approach, experiences and recommendations
title_full The CLAIRE COVID-19 initiative: approach, experiences and recommendations
title_fullStr The CLAIRE COVID-19 initiative: approach, experiences and recommendations
title_full_unstemmed The CLAIRE COVID-19 initiative: approach, experiences and recommendations
title_short The CLAIRE COVID-19 initiative: approach, experiences and recommendations
title_sort claire covid-19 initiative: approach, experiences and recommendations
topic Short Communication
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7871022/
https://www.ncbi.nlm.nih.gov/pubmed/33584129
http://dx.doi.org/10.1007/s10676-020-09567-7
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