During the COVID-19 pandemic, public attention turned to contact tracing apps as a possible solution to the spread of the virus. Many countries have moved in this direction, adopting contact tracing apps, while respecting personal data protection and, for EU countries, adhering to a number of fundamental principles: voluntariness, interoperability, regulatory coverage, purpose specification, minimisation, transparency, protection, security, and timeliness. In spite of timely public policy efforts, tracking apps have not been a success in many countries, and today, when their use could be of great importance, it seems appropriate to open a reflection on the success and unsuccessfulness of a public policy that has resolutely supported the use of digital technologies for public utility purposes. This working paper proposes a comparative analysis of nine OECD countries: Australia, France, Germany, Ireland, Italy, New Zealand, Russia, South Korea, Spain. It outlines the specific factors in each country's public policy that made the use of tracking apps possible, in terms of policy design with respect to: objectives, instruments, public procurement selection criteria, resources and the context in which the policy was implemented. The working paper concludes with three lessons learned from the comparative analysis: the privacy paradox, the choice of a public interest technology, and the systemic interweaving that the implementation of a public policy must take into account to enhance the effectiveness of a public interest action.

Russo, Margherita, Claudia, Cardinale Ciccotti, Fabrizio, De Alexandris, Antonela, Gjinaj, Giovanni, Romaniello, Antonio, Scatorchia e Giorgio, Terranova. "The systemic dimension of success (or failure?) in the use of data and AI during the COVID-19 pandemic. A cross-country comparison on contact tracing apps" Working paper, DEMB WORKING PAPER SERIES, Dipartimento di Economia Marco Biagi - Università di Modena e Reggio Emilia, 2021. https://doi.org/10.25431/11380_1250047

The systemic dimension of success (or failure?) in the use of data and AI during the COVID-19 pandemic. A cross-country comparison on contact tracing apps

Russo, Margherita
;
2021

Abstract

During the COVID-19 pandemic, public attention turned to contact tracing apps as a possible solution to the spread of the virus. Many countries have moved in this direction, adopting contact tracing apps, while respecting personal data protection and, for EU countries, adhering to a number of fundamental principles: voluntariness, interoperability, regulatory coverage, purpose specification, minimisation, transparency, protection, security, and timeliness. In spite of timely public policy efforts, tracking apps have not been a success in many countries, and today, when their use could be of great importance, it seems appropriate to open a reflection on the success and unsuccessfulness of a public policy that has resolutely supported the use of digital technologies for public utility purposes. This working paper proposes a comparative analysis of nine OECD countries: Australia, France, Germany, Ireland, Italy, New Zealand, Russia, South Korea, Spain. It outlines the specific factors in each country's public policy that made the use of tracking apps possible, in terms of policy design with respect to: objectives, instruments, public procurement selection criteria, resources and the context in which the policy was implemented. The working paper concludes with three lessons learned from the comparative analysis: the privacy paradox, the choice of a public interest technology, and the systemic interweaving that the implementation of a public policy must take into account to enhance the effectiveness of a public interest action.
Luglio
Russo, Margherita; Cardinale Ciccotti, Claudia; De Alexandris, Fabrizio; Gjinaj, Antonela; Romaniello, Giovanni; Scatorchia, Antonio; Terranova, Giorgio
Russo, Margherita, Claudia, Cardinale Ciccotti, Fabrizio, De Alexandris, Antonela, Gjinaj, Giovanni, Romaniello, Antonio, Scatorchia e Giorgio, Terranova. "The systemic dimension of success (or failure?) in the use of data and AI during the COVID-19 pandemic. A cross-country comparison on contact tracing apps" Working paper, DEMB WORKING PAPER SERIES, Dipartimento di Economia Marco Biagi - Università di Modena e Reggio Emilia, 2021. https://doi.org/10.25431/11380_1250047
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