CPDP Latam 2022


Awards for the special call for papers “Data Protection in Times of Social Emergency: COVID-19, Democracy, Innovation and Regulation in Latin America”

As indicated in our call, our review team selected for special awards the best interdisciplinary article and the two finalists. The awardees were as follows:

  • Best interdisciplinary article:

Sacha Alanoca, Nicolas Guetta-Jeanrenaud, Isabela Ferrari, Nyasha Weinberg, R Buse Çetin, Nicolas Miailhe. Digital contact tracing against COVID-19: a governance framework to build trust.

  • Two awarded finalists:

Danielle Mendes Thame Denny, Emre Kazim and Adriano Koshiyama. Covid-19 Data Catalog: Transparency, Innovation and Social Commitment.

Marco Almada, Juliano Maranhão, Voice-based diagnosis of covid-19: ethical and legal challenges.


“Proteção de Dados na América Latina: Covid-19, Democracia, Inovação e Regulação” (Data Protection in Latin America: Covid-19, Democracy, Innovation and Regulation

The Covid-19 pandemic affected the world and the way we live in multiple ways. At the same time, it was accompanied by an infodemia whose fight is also the responsibility of academia in its different sectors. This book seeks to fulfill this purpose, organizing and supporting scientific production on the protection of privacy and personal data at this time of social emergency. Edited in partnership with FGV Direito Rio and CPDP Latam – a Latin American platform for discussing privacy, data protection and technology -, the work features works by researchers who analyze, under different aspects, the impact of the pandemic in Latin countries data protection, given the institutional and enforcement challenges that make their extensive data collection a regulatory, social and political conundrum.

In July 2021, Fundaçao Getulio Vargas Law School will host the first Latin-American edition of the Computers, Privacy and Data Protection Conference (CPDP LatAm). 

In preparation for CPDP LatAm 2021, a call for rapid response papers was launched to foster research on “Data Protection at a Time of Social Emergency: COVID-19, Democracy, Innovation and Regulation in Latin America”. 

We received 107 submissions, the CPDP LatAm team selected a few for publication on special issues of the Journal of International Data Privacy Law published by Oxford University Press (IDPL; English papers) and of the Brazilian Journal of Fundamental Rights and Justice (DF&J; papers in Portuguese and Spanish). The selected papers, presented below, cover a broad gamut of subjects.

Papers selected for the IDPL special issue:

Papers selected for the DF&J special issue (which can be accessed here):

In addition to the two special issues, due to the considerable number of high quality papers we received in response to the call, the CPDP LatAm team has decided to publish an official CPDP LatAm compilation which will be launched during CPDP LatAm 2021, in July 2021. Find below a tentative summary of this publication:

  • An introduction to data protection in Latin America: between pandemic, technology and rights.
  • The effectiveness of the fundamental right to the protection of personal data in times of epidemiological “exceptionality”.
  • Right to health and right to protection of personal data in times of pandemic.
  • Coping with disinformation in Brazil: a critical analysis of bills motivated by the COVID-19 pandemic.
  • Facing the pandemic and protecting data: decolonized privacy.
  • Limits to the use of sensitive personal data in actions to contain the COVID-19 pandemic: the alleged dichotomy between the right to privacy and access to health in the Brazilian and international experience.
  • The COVID-19 pandemic and the protection of personal data of couriers via digital platforms in Brazil: essential activity, working conditions and consent.
  • The Uruguayan data protection system against COVID-19.
  • The challenges of Open Data in the pandemic period: open science in the face of data monetization.
  • Moral and legal principles applied to robotics: the collection and use of data and artificial intelligence and decision-making based on artificial intelligence in times of epidemics.