Initially funded by the Artificial Intelligence Consortium IVADO, with subsequent backing from the R Consortium (2021-2024) and the University of Lugano, this large-scale project aims to provide the research community with a reliable and unified dataset on COVID-19. “With the proliferation of databases, there was a need for a platform that integrated these various sources to enable comprehensive analysis,” explains David Ardia. Our goal was to create a tool that could establish relationships between medical information and sociopolitical factors.”

This project includes detailed epidemiological variables, policy measures compiled by Oxford, and various spatial databases, and has been featured in the Journal of Open Source Software (2020) and Scientific Data (2022).