| Publication type: | Article in scientific journal |
| Type of review: | Peer review (publication) |
| Title: | The CLAIRE COVID-19 initiative : approach, experiences and recommendations |
| Authors: | Bontempi, Gianluca Chavarriaga, Ricardo De Canck, Hans Girardi, Emanuela Hoos, Holger Kilbane-Dawe, Iarla Ball, Tonio Nowé, Ann Sousa, Jose Bacciu, Davide Aldinucci, Marco De Domenico, Manlio Saffiotti, Alessandro Maratea, Marco |
| et. al: | No |
| DOI: | 10.1007/s10676-020-09567-7 |
| Published in: | Ethics and Information Technology |
| Issue Date: | 9-Feb-2021 |
| Publisher / Ed. Institution: | Springer |
| ISSN: | 1388-1957 1572-8439 |
| Language: | English |
| Subjects: | Artificial intelligence; Covid-19; Data sharing |
| Subject (DDC): | 000: Generalities and science 006: Special computer methods |
| Abstract: | 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. |
| URI: | https://rdcu.be/cfcKw https://digitalcollection.zhaw.ch/handle/11475/21990 |
| Fulltext version: | Published version |
| License (according to publishing contract): | Licence according to publishing contract |
| Departement: | School of Engineering |
| Organisational Unit: | Centre for Artificial Intelligence (CAI) Institute of Applied Information Technology (InIT) |
| Appears in collections: | Publikationen School of Engineering |
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