Life, Data & COVID-19: AMLD EPFL 2021 conference explores how Machine Learning and Artificial Intelligence tracked and revealed human behavior changes during the pandemic

During the COVID-19 pandemic, for the first time in an epidemic, it has been possibile to track through digital platforms in real time all the dramatic changes in human behaviors caused by public health advice, stay-at-home orders and self-imposed limitations. Digital traces such as mobile phone data, social media posts, search engine queries, bank transactions have revealed how the pandemic has deeply changed our daily habits, such as mobility patterns and social and economic interactions.

Applied to such large-scale data, the power of Machine Learning and Artificial Intelligence has proven to be important to address several policy issues, such as evaluating the effectiveness of interventions aimed at containing the epidemic or measuring the social and economic cost of these interventions. AI & the response to the COVID-19 pandemic  is an online conference that will gather contributions from researchers, public health officials, and industry leaders about the insight gained from the analysis of large-scale data in their fight against the pandemic.

Organized by ISI Foundation Michele Tizzoni, Paolo Bajardi, and Laetitia Gauvin, part of the Applied Machine Learning Days 2021 at EPFL – École polytechnique fédérale de Lausanne, the track will be held online on June 28, starting at 9.00 CEST. Different aspects will be discussed, from the ethical issues arising from the analysis of digital traces to the challenges in delivering actionable insights to governments and policymakers. To join the discussion, get your ticket here .

AI & the response to the COVID-19 pandemic, online conference organized by Michele Tizzoni, Paolo Bajardi and Laetitia Gauvin. EPFL Applied Machine Learning Days, Monday June 28, 9.00-17.00 CEST. Link: