Please use this identifier to cite or link to this item: http://hdl.handle.net/10609/147629
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dc.contributor.authorNanni, Mirco-
dc.contributor.authorAndrienko, Gennady-
dc.contributor.authorBarabasi, Albert-
dc.contributor.authorBoldrini, Chiara-
dc.contributor.authorBonchi, Francesco-
dc.contributor.authorCattuto, Ciro-
dc.contributor.authorChiaromonte, Francesca-
dc.contributor.authorComandé, Giovanni-
dc.contributor.authorConti, Marco-
dc.contributor.authorCote, Mark-
dc.contributor.authorFrank Dignum-
dc.contributor.authorDignum, Virginia-
dc.contributor.authorDomingo-Ferrer, Josep-
dc.contributor.authorPaolo Ferragina-
dc.contributor.authorGiannotti, Fosca-
dc.contributor.authorGuidotti, Riccardo-
dc.contributor.authorHelbing, Dirk-
dc.contributor.authorKaski, Kimmo-
dc.contributor.authorKertesz, Janos-
dc.contributor.authorLehmann, Sune-
dc.contributor.authorBruno Lepri-
dc.contributor.authorPaul Lukowicz-
dc.contributor.authorMatwin, Stan-
dc.contributor.authorMegias, David-
dc.contributor.authorMONREALE, ANNA-
dc.contributor.authorMorik, Katharina-
dc.contributor.authorOliver, Nuria-
dc.contributor.authorPassarella, Andrea-
dc.contributor.authorpasserini, andrea-
dc.contributor.authorPEDRESCHI, DINO-
dc.contributor.authorPentland, Alex-
dc.contributor.authorFabio Pianesi-
dc.contributor.authorPratesi, Francesca-
dc.contributor.authorRINZIVILLO, SALVATORE-
dc.contributor.authorRUGGIERI, SALVATORE-
dc.contributor.authorArno Siebes-
dc.contributor.authorTorra, Vicenç-
dc.contributor.authorRoberto Trasarti-
dc.contributor.authorVan den Hoven, jeroen-
dc.contributor.authorVespignani, Alessandro-
dc.contributor.otherIstituto di Scienza e Tecnologie dell'Informazione (ISTI-CNR)-
dc.contributor.otherFraunhofer Institute for Intelligent Analysis and Information Systems IAIS-
dc.contributor.otherCity University of London-
dc.contributor.otherNortheastern University-
dc.contributor.otherInstitute of Informatics and Telematics (IIT-CNR)-
dc.contributor.otherISI Foundation-
dc.contributor.otherEurecat, Centre Tecnològic de Catalunya-
dc.contributor.otherUniversity of Torino-
dc.contributor.otherSant’Anna School of Advanced Studies Pisa-
dc.contributor.otherPenn State University-
dc.contributor.otherKing’s College London-
dc.contributor.otherUmeå University-
dc.contributor.otherUniversitat Rovira i Virgili (URV)-
dc.contributor.otherUniversity of Pisa-
dc.contributor.otherSwiss Federal Institute of Technology-
dc.contributor.otherAalto University School of Science-
dc.contributor.otherCentral European University-
dc.contributor.otherTechnical University of Denmark-
dc.contributor.otherFondazione Bruno Kessler (FBK)-
dc.contributor.otherGerman Research Center for Artificial Intelligence (DFKI)-
dc.contributor.otherDalhousie University-
dc.contributor.otherPolish Academy of Sciences-
dc.contributor.otherUniversitat Oberta de Catalunya (UOC). Estudis d'Informàtica, Multimèdia i Telecomunicació-
dc.contributor.otherTU Dortmund University-
dc.contributor.otherELLIS Alicante-
dc.contributor.otherData-Pop Alliance-
dc.contributor.otherUniversità Degli Studi Di Trento-
dc.contributor.otherMassachusetts Institute of Technology-
dc.contributor.otherEIT Digital-
dc.contributor.otherUniversiteit Utrecht-
dc.contributor.otherMaynooth University-
dc.contributor.otherDelft University of Technology (TU Delft)-
dc.date.accessioned2023-03-08T12:01:10Z-
dc.date.available2023-03-08T12:01:10Z-
dc.date.issued2021-02-02-
dc.identifier.citationNanni, M., Andrienko, G., Barabási, A.-L., Boldrini, C., Bonchi, F., Cattuto, C., Chiaromonte, F., Comandé, G., Conti, M., Coté, M., Dignum, F., Dignum, V., Domingo Ferrer, J., Ferragina, P., Giannoti, F., Guidotti, R., Helbing, D., Kaski, K., Kertesz, J., Lehmann, S., Lepri, B., Lukowicz, P., Matwin, S., Megías, D., Monreale, A., Morik, K., Oliver, N., Passarella, A., Passerini, A., Pedreschi, D., Pentland, A., Pianesi, F., Pratesi, F., Rinzivillo, S., Ruggieri, S., Siebes, A., Torra, V., Trasarti, R., van den Hoven, J. & Vespignani, A. (2021). Give more data, awareness and control to individual citizens, and they will help COVID-19 containment. Ethics and Information Technology, 23(SUPPL 1), 1-6. doi: 10.1007/s10676-020-09572-w-
dc.identifier.issn1388-1957MIAR
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dc.identifier.urihttp://hdl.handle.net/10609/147629-
dc.description.abstractThe rapid dynamics of COVID-19 calls for quick and effective tracking of virus transmission chains and early detection of outbreaks, especially in the “phase 2” of the pandemic, when lockdown and other restriction measures are progressively withdrawn, in order to avoid or minimize contagion resurgence. For this purpose, contact-tracing apps are being proposed for large scale adoption by many countries. A centralized approach, where data sensed by the app are all sent to a nation-wide server, raises concerns about citizens’ privacy and needlessly strong digital surveillance, thus alerting us to the need to minimize personal data collection and avoiding location tracking. We advocate the conceptual advantage of a decentralized approach, where both contact and location data are collected exclusively in individual citizens’ “personal data stores”, to be shared separately and selectively (e.g., with a backend system, but possibly also with other citizens), voluntarily, only when the citizen has tested positive for COVID-19, and with a privacy preserving level of granularity. This approach better protects the personal sphere of citizens and affords multiple benefits: it allows for detailed information gathering for infected people in a privacy-preserving fashion; and, in turn this enables both contact tracing, and, the early detection of outbreak hotspots on more finely-granulated geographic scale. The decentralized approach is also scalable to large populations, in that only the data of positive patients need be handled at a central level. Our recommendation is two-fold. First to extend existing decentralized architectures with a light touch, in order to manage the collection of location data locally on the device, and allow the user to share spatio-temporal aggregates—if and when they want and for specific aims—with health authorities, for instance. Second, we favour a longer-term pursuit of realizing a Personal Data Store vision, giving users the opportunity to contribute to collective good in the measure they want, enhancing self-awareness, and cultivating collective efforts for rebuilding society.en
dc.format.mimetypeapplication/pdf-
dc.language.isoengen
dc.publisherSpringer Nature-
dc.relation.ispartofEthics and Information Technology volume, 2021, 23(1)-
dc.relation.ispartofseriesEthics and Information Technology;23-
dc.relation.urihttps://doi.org/10.1007/s10676-020-09572-w-
dc.rightsCC BY 4.0-
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/-
dc.subjectCOVID-19en
dc.subjectCOVID-19ca
dc.subjectCOVID-19es
dc.subjectpersonal data storeen
dc.subjectmagatzem de dades personalsca
dc.subjectalmacén de datos personaleses
dc.subjectmobility data analysisen
dc.subjectanàlisi de dades de mobilitatca
dc.subjectanálisis de datos de movilidades
dc.subjectcontact tracingen
dc.subjectseguiment de contactesca
dc.subjectrastreo de contactoses
dc.subject.lcshCOVID-19 Pandemic, 2020-en
dc.titleGive more data, awareness and control to individual citizens, and they will help COVID-19 containmenten
dc.typeinfo:eu-repo/semantics/article-
dc.subject.lemacpandèmia de COVID-19, 2020-ca
dc.subject.lcshespandemia de la Covid-19, 2020-es
dc.rights.accessRightsinfo:eu-repo/semantics/openAccess-
dc.identifier.doihttps://doi.org/10.1007/s10676-020-09572-w-
dc.gir.idAR/0000009092-
dc.type.versioninfo:eu-repo/semantics/publishedVersion-
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