{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T07:31:54Z","timestamp":1740123114755,"version":"3.37.3"},"reference-count":26,"publisher":"Springer Science and Business Media LLC","issue":"S1","license":[{"start":{"date-parts":[[2021,2,9]],"date-time":"2021-02-09T00:00:00Z","timestamp":1612828800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2021,2,9]],"date-time":"2021-02-09T00:00:00Z","timestamp":1612828800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Ethics Inf Technol"],"published-print":{"date-parts":[[2021,11]]},"DOI":"10.1007\/s10676-020-09567-7","type":"journal-article","created":{"date-parts":[[2021,2,10]],"date-time":"2021-02-10T02:59:56Z","timestamp":1612925996000},"page":"127-133","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["The CLAIRE COVID-19 initiative: approach, experiences and recommendations"],"prefix":"10.1007","volume":"23","author":[{"given":"Gianluca","family":"Bontempi","sequence":"first","affiliation":[]},{"given":"Ricardo","family":"Chavarriaga","sequence":"additional","affiliation":[]},{"given":"Hans","family":"eD Canck","sequence":"additional","affiliation":[]},{"given":"Emanuela","family":"Girardi","sequence":"additional","affiliation":[]},{"given":"Holger","family":"Hoos","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0157-9857","authenticated-orcid":false,"given":"Iarla","family":"Kilbane-Dawe","sequence":"additional","affiliation":[]},{"given":"Tonio","family":"Ball","sequence":"additional","affiliation":[]},{"given":"Ann","family":"Now\u00e9","sequence":"additional","affiliation":[]},{"given":"Jose","family":"Sousa","sequence":"additional","affiliation":[]},{"given":"Davide","family":"Bacciu","sequence":"additional","affiliation":[]},{"given":"Marco","family":"Aldinucci","sequence":"additional","affiliation":[]},{"given":"Manlio","family":"eD Domenico","sequence":"additional","affiliation":[]},{"given":"Alessandro","family":"Saffiotti","sequence":"additional","affiliation":[]},{"given":"Marco","family":"Maratea","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2021,2,9]]},"reference":[{"key":"9567_CR18","doi-asserted-by":"publisher","DOI":"10.1145\/3203217.3205340","author":"M Aldinucci","year":"2018","unstructured":"Aldinucci, M., Rabellino, S., Pironti, M., Spiga, F., Viviani, P., Drocco, M., et al. (2018). HPC4AI an ai-on-demand federated platform endeavour. ACM Computing Frontiers, Ischia, Italy. https:\/\/doi.org\/10.1145\/3203217.3205340","journal-title":"ACM Computing Frontiers, Ischia, Italy."},{"issue":"2","key":"9567_CR25","doi-asserted-by":"publisher","first-page":"109","DOI":"10.3233\/IA-170030","volume":"12","author":"M Alviano","year":"2018","unstructured":"Alviano, M., Dodaro, C., & Maratea, M. (2018). Nurse (Re)scheduling via answer set programming. Intelligenza Artificiale, 12(2), 109\u2013124.","journal-title":"Intelligenza Artificiale"},{"key":"9567_CR17","unstructured":"AI4EU project: EU ICT-2018\u201326 \"A European AI On-Demand Platform and Ecosystem,\" https:\/\/www.ai4eu.eu (2020)"},{"key":"9567_CR13","first-page":"12693","volume":"1912","author":"D Bacciu","year":"2020","unstructured":"Bacciu, D., Errica, F., Micheli, A., & Podda, M. (2020). A Gentle Introduction to Deep Learning for Graphs, 1912, 12693.","journal-title":"A Gentle Introduction to Deep Learning for Graphs"},{"key":"9567_CR26","first-page":"67","volume-title":"Muhammad Kamran Khan","author":"C Dodaro","year":"2019","unstructured":"Dodaro, C., & Galat\u00e0, G. (2019). Muhammad Kamran Khan (pp. 67\u201381). Marco Maratea, Ivan Porro: An ASP-based Solution for Operating Room Scheduling with Beds Management. RuleML+RR."},{"key":"9567_CR4","unstructured":"DSI - Data Science Institute UHasselt - What kind of models do we use? (2020)"},{"key":"9567_CR16","unstructured":"Deephealth project: EU ICT-2018\u201311 \"Deep-Learning and HPC to Boost Biomedical Applications for Health,\" https:\/\/deephealth-project.eu\/ (2020)"},{"key":"9567_CR14","doi-asserted-by":"crossref","unstructured":"Enzo Tartaglione, Carlo Alberto Barbano, Claudio Berzovini, Marco Calandri, Marco Grangetto: Unveiling COVID-19 from Chest X-ray with deep learning: a hurdles race with small data. 2004: 05405, 2020.","DOI":"10.3390\/ijerph17186933"},{"key":"9567_CR9","doi-asserted-by":"crossref","unstructured":"Feixiong Cheng, Istv\u00e1n A Kov\u00e1cs, and Albert-L\u00e1szl\u00f3 Barab\u00e1si. Network-based prediction of drug combinations. Nature communications, 10(1):1\u201311, 2019. The UniProt Consortium. UniProt: a worldwide hub of protein knowledge. Nucleic Acids Research, 47(D1):D506\u2013D515, 11 2018.","DOI":"10.1093\/nar\/gky1049"},{"key":"9567_CR19","unstructured":"Iacopo Colonnelli, Barbara Cantalupo, Ivan Merelli, Marco Aldinucci, StreamFlow: cross-breeding cloud with HPC. 2002: 01558 (2020)"},{"key":"9567_CR11","doi-asserted-by":"crossref","unstructured":"Janet Pi\u00f1ero, Juan Manuel Ram\u00edrez-Anguita, Josep Sa\u00fcch-Pitarch, Francesco Ronzano, Emilio Centeno, Ferran Sanz, and Laura I Furlong. The DisGeNET knowledge platform for disease genomics: 2019 update. Nucleic Acids Research, 48(D1):D845\u2013D855, 11 2019.","DOI":"10.1093\/nar\/gkz1021"},{"issue":"7553","key":"9567_CR6","doi-asserted-by":"publisher","first-page":"436","DOI":"10.1038\/nature14539","volume":"521","author":"Y LeCun","year":"2015","unstructured":"LeCun, Y., Bengio, Y., & Hinton, G. (2015). Deep learning. Nature, 521(7553), 436\u2013444. https:\/\/doi.org\/10.1038\/nature14539","journal-title":"Nature"},{"key":"9567_CR10","doi-asserted-by":"crossref","unstructured":"Michael Ashburner, Catherine A Ball, Judith A Blake, David Botstein, Heather Butler, J Michael Cherry, Allan P Davis, Kara Dolinski, Selina S Dwight, Janan T Eppig, et al. Gene ontology: tool for the unification of biology. Nature genetics, 25(1):25\u201329, 2000.","DOI":"10.1038\/75556"},{"key":"9567_CR1","doi-asserted-by":"crossref","unstructured":"Miguel Luengo-Oroz, Katherine Hoffmann Pham, Joseph Bullock, Robert Kirkpatrick, Alexandra Luccioni, Sasha Rubel, Cedric Wachholz, Moez Chakchouk, Phillippa Biggs, Tim Nguyen, Tina Purnat & Bernardo Mariano. Nature Machine Intelligence. Artificial intelligence cooperation to support the global response to COVID-19 - 5 2020","DOI":"10.1038\/s42256-020-0184-3"},{"key":"9567_CR22","doi-asserted-by":"crossref","unstructured":"Manlio De Domenico and Eduardo G. Altmann, Unraveling the Origin of Social Bursts in Collective Attention, Scientific Reports volume 10, Article number: 4629 (2020)","DOI":"10.1038\/s41598-020-61523-z"},{"key":"9567_CR5","unstructured":"PhD Pieter Libin, Guiding the mitigation of epidemics with reinforcement learning, https:\/\/ai.vub.ac.be\/team\/pieter-libin\/ (2020)"},{"key":"9567_CR3","unstructured":"Report 9: Impact of non-pharmaceutical interventions (NPIs) to reduce COVID-19 mortality and healthcare demandImperial CollegeCOVID-19 Response Team (2020)"},{"key":"9567_CR23","doi-asserted-by":"crossref","unstructured":"Riccardo Gallotti, Francesco Valle, Nicola Castaldo and Pierluigi Sacco, Manlio De Domenico, Assessing the risks of \"infodemics\" in response to COVID-19 epidemics, 2004: 03997 (2020)","DOI":"10.1101\/2020.04.08.20057968"},{"key":"9567_CR12","doi-asserted-by":"crossref","unstructured":"Rose Oughtred, Chris Stark, Bobby-Joe Breitkreutz, Jennifer Rust, Lorrie Boucher, Christie Chang, Nadine Kolas, Lara O\u2019Donnell, Genie Leung, Rochelle McAdam, Frederick Zhang, Sonam Dolma, Andrew Willems, Jasmin Coulombe-Huntington, Andrew Chatr-aryamontri, Kara Dolinski, and Mike Tyers. The BioGRID interaction database: 2019 update. Nucleic Acids Research, 47(D1):D529\u2013D541, 11 2018.","DOI":"10.1093\/nar\/gky1079"},{"key":"9567_CR8","unstructured":"Real-time tracking of self-reported symptoms to predict potential COVID-19,Nature Medicine pp. 1\u20138, May 2020."},{"key":"9567_CR2","unstructured":"Simone Pernice et al. Undetected Cases of Covid-19 and Effects ofSocial Distancing Strategies: a Modeling Study in, Piedmont Region."},{"key":"9567_CR21","doi-asserted-by":"publisher","first-page":"12435","DOI":"10.1073\/pnas.1803470115","volume":"115","author":"M Stella","year":"2018","unstructured":"Stella, M., Ferrara, E., & De Domenico, M. (2018). Bots increase exposure to negative and inflammatory content in online social systems. PNAS, 115, 12435.","journal-title":"PNAS"},{"key":"9567_CR15","volume-title":"Review of Artificial Intelligence Techniques in Imaging Data Acquisition, Segmentation and Diagnosis for COVID-19\u201d","author":"F Shi","year":"2020","unstructured":"Shi, F., Wang, J., Shi, J., Ziyan, Wu., Wang, Q., Tang, Z., et al. (2020). Review of Artificial Intelligence Techniques in Imaging Data Acquisition, Segmentation and Diagnosis for COVID-19\u201d. Eng: IEEE Rev. Biomed."},{"key":"9567_CR7","doi-asserted-by":"crossref","unstructured":"S. Sun, A. A. Folarin, Y. Ranjan, Z. Rashid, P. Conde, C. Stewart, N. Cummins, F. Matcham, G. D. Costa, L. Leocani, P. S. S\u00f8rensen, M. Buron, A. I. Guerrero, A. Zabalza, B. W. Penninx, F. Lamers, S. Siddi, J. M. Haro, I. Myin-Germeys, A. Rintala, V. A. Narayan, G. Comi, M. Hotopf, and R. J. Dobson, Using smartphones and wearable devices to monitor behavioural changes during COVID-19, May 2020","DOI":"10.2196\/preprints.19992"},{"key":"9567_CR20","unstructured":"WHO - Novel Coronavirus (2019-nCoV) Situation Report - 13. Novel Coronavirus(2019-nCoV)"},{"key":"9567_CR24","doi-asserted-by":"publisher","DOI":"10.1126\/scirobotics.abb5589","author":"G-Z Yang","year":"2020","unstructured":"Yang, G.-Z., et al. (2020). Combating COVID-19\u2014The role of robotics in managing public health and infectious diseases. Science Robotics. https:\/\/doi.org\/10.1126\/scirobotics.abb5589","journal-title":"Science Robotics"}],"container-title":["Ethics and Information Technology"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10676-020-09567-7.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s10676-020-09567-7\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10676-020-09567-7.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,12,6]],"date-time":"2021-12-06T05:17:52Z","timestamp":1638767872000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s10676-020-09567-7"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,2,9]]},"references-count":26,"journal-issue":{"issue":"S1","published-print":{"date-parts":[[2021,11]]}},"alternative-id":["9567"],"URL":"https:\/\/doi.org\/10.1007\/s10676-020-09567-7","relation":{},"ISSN":["1388-1957","1572-8439"],"issn-type":[{"type":"print","value":"1388-1957"},{"type":"electronic","value":"1572-8439"}],"subject":[],"published":{"date-parts":[[2021,2,9]]},"assertion":[{"value":"9 February 2021","order":1,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"This content has been made available to all.","name":"free","label":"Free to read"}]}}