Articles producció científica> Enginyeria Informàtica i Matemàtiques

Give more data, awareness and control to individual citizens, and they will help COVID-19 containment

  • Identification data

    Identifier: imarina:9242149
    Handle: https://hdl.handle.net/20.500.11797/imarina9242149
    Authors:
    Nanni, MircoAndrienko, GennadyBarabasi, Albert-LaszloBoldrini, ChiaraBonchi, FrancescoCattuto, CiroChiaromonte, FrancescaComande, GiovanniConti, MarcoCote, MarkDignum, FrankDignum, VirginiaDomingo-Ferrer, JosepFerragina, PaoloGiannotti, FoscaGuidotti, RiccardoHelbing, DirkKaski, KimmoKertesz, JanosLehmann, SuneLepri, BrunoLukowicz, PaulMatwin, StanJimenez, David MegiasMonreale, AnnaMorik, KatharinaOliver, NuriaPassarella, AndreaPasserini, AndreaPedreschi, DinoPentland, AlexPianesi, FabioPratesi, FrancescaRinzivillo, SalvatoreRuggieri, SalvatoreSiebes, ArnoTorra, VicencTrasarti, RobertoHoven, Jeroen van denVespignani, Alessandro
    Abstract:
    The 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outbreaks, especially in the “phase 2” of the pandemic, when lockdown and other restriction measures are progressively withdrawn, in order to avoid or minimize contagion resurgence.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 an

  • Others:

    Author, as appears in the article.: Nanni, Mirco; Andrienko, Gennady; Barabasi, Albert-Laszlo; Boldrini, Chiara; Bonchi, Francesco; Cattuto, Ciro; Chiaromonte, Francesca; Comande, Giovanni; Conti, Marco; Cote, Mark; Dignum, Frank; Dignum, Virginia; Domingo-Ferrer, Josep; Ferragina, Paolo; Giannotti, Fosca; Guidotti, Riccardo; Helbing, Dirk; Kaski, Kimmo; Kertesz, Janos; Lehmann, Sune; Lepri, Bruno; Lukowicz, Paul; Matwin, Stan; Jimenez, David Megias; Monreale, Anna; Morik, Katharina; Oliver, Nuria; Passarella, Andrea; Passerini, Andrea; Pedreschi, Dino; Pentland, Alex; Pianesi, Fabio; Pratesi, Francesca; Rinzivillo, Salvatore; Ruggieri, Salvatore; Siebes, Arno; Torra, Vicenc; Trasarti, Roberto; Hoven, Jeroen van den; Vespignani, Alessandro
    Department: Enginyeria Informàtica i Matemàtiques
    URV's Author/s: Domingo Ferrer, Josep
    Keywords: Viruses Virus transmission Spatio-temporal aggregates Privacy preserving Privacy by design Population statistics Personal data store Mobility data analysis Location Large population Information management Information gathering Decentralized architecture Decentralized approach Data acquisition Covid-19 Contact tracing Centralized approaches
    Abstract: The 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. © 2021, The Author(s).
    Thematic Areas: Philosophy Library and information sciences Information science & library science Información y documentación Ethics Comunicació i informació Computer science applications Ciencias sociales Ciencias humanas
    licence for use: https://creativecommons.org/licenses/by/3.0/es/
    Author's mail: josep.domingo@urv.cat
    Author identifier: 0000-0001-7213-4962
    Record's date: 2024-10-12
    Papper version: info:eu-repo/semantics/publishedVersion
    Licence document URL: https://repositori.urv.cat/ca/proteccio-de-dades/
    Papper original source: Ethics And Information Technology. 23 (SUPPL 1): 1-6
    APA: Nanni, Mirco; Andrienko, Gennady; Barabasi, Albert-Laszlo; Boldrini, Chiara; Bonchi, Francesco; Cattuto, Ciro; Chiaromonte, Francesca; Comande, Giovan (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
    Entity: Universitat Rovira i Virgili
    Journal publication year: 2021
    Publication Type: Journal Publications

  • Keywords:

    Computer Science Applications,Ethics,Information Science & Library Science,Library and Information Sciences,Philosophy
    Viruses
    Virus transmission
    Spatio-temporal aggregates
    Privacy preserving
    Privacy by design
    Population statistics
    Personal data store
    Mobility data analysis
    Location
    Large population
    Information management
    Information gathering
    Decentralized architecture
    Decentralized approach
    Data acquisition
    Covid-19
    Contact tracing
    Centralized approaches
    Philosophy
    Library and information sciences
    Information science & library science
    Información y documentación
    Ethics
    Comunicació i informació
    Computer science applications
    Ciencias sociales
    Ciencias humanas

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