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

Research output: Contribution to journalArticlepeer-review

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Give more data, awareness and control to individual citizens, and they will help COVID-19 containment. / Nanni, Mirco; Andrienko, Gennady; Barabàsi, Albert Làszlò; Boldrini, Chiara; Bonchi, Francesco; Cattuto, Ciro; Chiaromonte, Francesca; Comandé, Giovanni; Conti, Marco; Coté, 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; Jiménez, Davidmegìas; 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, Vicenҫ; Trasarti, Roberto; Van Den Hoven, Jeroen; Vespignani, Alessandro.

In: Transactions on Data Privacy, Vol. 13, No. 1, 04.2020, p. 61-66.

Research output: Contribution to journalArticlepeer-review

Harvard

Nanni, M, Andrienko, G, Barabàsi, AL, Boldrini, C, Bonchi, F, Cattuto, C, Chiaromonte, F, Comandé, G, Conti, M, Coté, M, Dignum, F, Dignum, V, Domingo-Ferrer, J, Ferragina, P, Giannotti, F, Guidotti, R, Helbing, D, Kaski, K, Kertesz, J, Lehmann, S, Lepri, B, Lukowicz, P, Matwin, S, Jiménez, 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 2020, 'Give more data, awareness and control to individual citizens, and they will help COVID-19 containment', Transactions on Data Privacy, vol. 13, no. 1, pp. 61-66.

APA

Nanni, M., Andrienko, G., Barabàsi, 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., Giannotti, F., Guidotti, R., Helbing, D., Kaski, K., Kertesz, J., ... Vespignani, A. (2020). Give more data, awareness and control to individual citizens, and they will help COVID-19 containment. Transactions on Data Privacy, 13(1), 61-66.

Vancouver

Nanni M, Andrienko G, Barabàsi AL, Boldrini C, Bonchi F, Cattuto C et al. Give more data, awareness and control to individual citizens, and they will help COVID-19 containment. Transactions on Data Privacy. 2020 Apr;13(1):61-66.

Author

Nanni, Mirco ; Andrienko, Gennady ; Barabàsi, Albert Làszlò ; Boldrini, Chiara ; Bonchi, Francesco ; Cattuto, Ciro ; Chiaromonte, Francesca ; Comandé, Giovanni ; Conti, Marco ; Coté, 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 ; Jiménez, Davidmegìas ; 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, Vicenҫ ; Trasarti, Roberto ; Van Den Hoven, Jeroen ; Vespignani, Alessandro. / Give more data, awareness and control to individual citizens, and they will help COVID-19 containment. In: Transactions on Data Privacy. 2020 ; Vol. 13, No. 1. pp. 61-66.

Bibtex Download

@article{e87efec123dd4a49950e6e6a8204bae2,
title = "Give more data, awareness and control to individual citizens, and they will help COVID-19 containment",
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{\textquoteright} 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{\textquoteright} “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 allowthe user to share spatio-temporal aggregates-if and when they want and for specific aims-with health authorities, for instance. Second, we favour a longerterm 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.",
keywords = "Contact tracing, COVID-19, Mobility data analysis, Personal Data Store",
author = "Mirco Nanni and Gennady Andrienko and Barab{\`a}si, {Albert L{\`a}szl{\`o}} and Chiara Boldrini and Francesco Bonchi and Ciro Cattuto and Francesca Chiaromonte and Giovanni Comand{\'e} and Marco Conti and Mark Cot{\'e} and Frank Dignum and Virginia Dignum and Josep Domingo-Ferrer and Paolo Ferragina and Fosca Giannotti and Riccardo Guidotti and Dirk Helbing and Kimmo Kaski and Janos Kertesz and Sune Lehmann and Bruno Lepri and Paul Lukowicz and Stan Matwin and Davidmeg{\`i}as Jim{\'e}nez and Anna Monreale and Katharina Morik and Nuria Oliver and Andrea Passarella and Andrea Passerini and Dino Pedreschi and Alex Pentland and Fabio Pianesi and Francesca Pratesi and Salvatore Rinzivillo and Salvatore Ruggieri and Arno Siebes and Vicenҫ Torra and Roberto Trasarti and {Van Den Hoven}, Jeroen and Alessandro Vespignani",
year = "2020",
month = apr,
language = "English",
volume = "13",
pages = "61--66",
journal = "Transactions on Data Privacy",
issn = "1888-5063",
publisher = "Institut d'Investigacio en Intel-ligencia Artificial - Consejo Superior Investigaciones Cientificas (IIIA-CSIC)",
number = "1",

}

RIS (suitable for import to EndNote) Download

TY - JOUR

T1 - Give more data, awareness and control to individual citizens, and they will help COVID-19 containment

AU - Nanni, Mirco

AU - Andrienko, Gennady

AU - Barabàsi, Albert Làszlò

AU - Boldrini, Chiara

AU - Bonchi, Francesco

AU - Cattuto, Ciro

AU - Chiaromonte, Francesca

AU - Comandé, Giovanni

AU - Conti, Marco

AU - Coté, Mark

AU - Dignum, Frank

AU - Dignum, Virginia

AU - Domingo-Ferrer, Josep

AU - Ferragina, Paolo

AU - Giannotti, Fosca

AU - Guidotti, Riccardo

AU - Helbing, Dirk

AU - Kaski, Kimmo

AU - Kertesz, Janos

AU - Lehmann, Sune

AU - Lepri, Bruno

AU - Lukowicz, Paul

AU - Matwin, Stan

AU - Jiménez, Davidmegìas

AU - Monreale, Anna

AU - Morik, Katharina

AU - Oliver, Nuria

AU - Passarella, Andrea

AU - Passerini, Andrea

AU - Pedreschi, Dino

AU - Pentland, Alex

AU - Pianesi, Fabio

AU - Pratesi, Francesca

AU - Rinzivillo, Salvatore

AU - Ruggieri, Salvatore

AU - Siebes, Arno

AU - Torra, Vicenҫ

AU - Trasarti, Roberto

AU - Van Den Hoven, Jeroen

AU - Vespignani, Alessandro

PY - 2020/4

Y1 - 2020/4

N2 - 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 allowthe user to share spatio-temporal aggregates-if and when they want and for specific aims-with health authorities, for instance. Second, we favour a longerterm 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.

AB - 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 allowthe user to share spatio-temporal aggregates-if and when they want and for specific aims-with health authorities, for instance. Second, we favour a longerterm 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.

KW - Contact tracing

KW - COVID-19

KW - Mobility data analysis

KW - Personal Data Store

UR - http://www.scopus.com/inward/record.url?scp=85084115690&partnerID=8YFLogxK

M3 - Article

AN - SCOPUS:85084115690

VL - 13

SP - 61

EP - 66

JO - Transactions on Data Privacy

JF - Transactions on Data Privacy

SN - 1888-5063

IS - 1

ER -

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