Are we using data in the best way to manage the COVID-19 Pandemic? Webinar
We are living in the largest, most dramatic and unexpected social experiment ever, as governments launch a variety of “social distancing” measures to slow down the coronavirus contagion. Also the use of AI and Big Data is being tested as never before: China, Taiwan, South Korea are using massive data collection and smartphones for “track and tracing systems”. In Europe nothing similar has been launched yet, while quantitative models to forecast the spread of the virus are multiplying. In Italy where the pandemic is raging there is a hot debate on the opportunity to follow the Asian example. Nobody has all the answers.
The BDVA community wants to open a discussion to share experiences and evidence about the best way to use data and AI to manage the pandemic and support dentifying the best practices to be recommended and the best ideas to be shared. In this webinar we start the discussion with a few expert speakers reporting on the Asian and ongoing European experiences. But we call on all interested members of the community to participate and share other experiences and ideas to learn from each other.
Date/Time: March 26th, 14h CET
Registration: here. (closed)
- Gabriella Cattaneo, European Government consulting at IDC [Presentation]
- Daniel Calvo, Head of Artificial Intelligence and Robotics unit, Atos Research and Innovation [Presentation]
- Luca Ferretin, Big Data Institute at the University of Oxford [Presentation]
- Paolo Giudici, Professor of Statistics, FinTech laboratory, University of Pavia [Presentation]
- Barbara Guardabascio, Italian National Institute of Statistics (ISTAT) [Presentation]
Main organisers: Gabriella Cattaneo (IDC, TF2.Impact lead), Tiblets Demewez (Philips, TF7.Healthcare lead), Ana Garcia (BDVA Secretary General)
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