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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...
Autores principales: | , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Netherlands
2021
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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. |
format | Online Article Text |
id | pubmed-7871022 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Springer Netherlands |
record_format | MEDLINE/PubMed |
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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