Track / Overview

During the COVID-19 pandemic, public health advice, stay-at-home orders, and self-imposed limitations have dramatically changed human behaviors on a global scale. For the first time in an epidemic, such an unprecedented natural experiment has been sensed through digital platforms in real-time. 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 our mobility patterns, our social and economic interactions, both online and offline.

The power of Machine Learning and Artificial Intelligence applied to such large-scale data 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.

The aim of the track is to gather contributions from researchers, public health officials, and industry leaders about the insights gained from the analysis of large-scale data in their fight against the pandemic.
Different aspects relevant to ML and AI 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.

Track / Speakers

Marcel Salathé

Professor, EPFL

Nuria Oliver

Cofounder and Vice president, ELLIS

Kristina Gligoric

Phd Student, EPFL

Caroline Buckee

Associate Professor, Harvard TH Chan School of Public Health

Effy Vayena

Professor, ETH Zurich, Institute of Translational Medicine

Miguel Luengo-Oroz

Chief Data Scientist, UN Global Pulse

Shemra Rizzo

Senior Data Scientist, Genentech

Daniela Perrotta

Research Scientist, Max Planck Institute for Demographic Research

Giulia Carella

Research Scientist, Barcelona Supercomputing Center

Jannis Born

PhD Student, ETH Zurich / IBM Research Europe

Judy Gichoya

Assistant Professor, Emory University

Karl Aberer

Professor, EPFL & Founder, LinkAlong

Muhammad Atif Qureshi

Assistant Professor, TU Dublin

Nicolò Gozzi

PhD Student, University of Greenwich

Riccardo Gallotti

Researcher, FBK

Walter Quattrociocchi

Professor, Sapienza University of Rome

Track / Co-organizers

Michele Tizzoni

Senior Research Scientist, ISI Foundation

Paolo Bajardi

Manager of Industrial Research, ISI Foundation

Laetitia Gauvin

Senior Research Scientist, ISI Foundation

AMLD EPFL 2021 / Tracks & talks

AI for Risk in Financial Institutions

Ernst Oldenhof, Martin Jaggi, Paul Wang, Milica Lazic, Sacha Schwab, Jacqueline Stählin, Madan Sathe, Philipp Thomann, Prasanna Venkatesan, Aleksandra Chirkina, Luc Gerardin

09:00-12:30 September 14Online

AI & Online Business

Alessandro Nesti, Alexey Grigorev, Nicolas Mériel, André Schumacher, Xabier Rodriguez, Timo Grossenbacher, Markus Barmettler, Hakim Invernizzi, Severin Klingler, Francesco Calabrese

13:30-17:00 September 14Online

AI & Physics

Alexey Melnikov, Florent Krzakala, Giuseppe Carleo, Balaji Lakshminarayanan, Marylou Gabrié, Agnes Valenti, Gregor Kasieczka, Anna Dawid, Paolo Molignini, Roman Worschech, Diego Tapias, Aishik Ghosh, Frank Schäfer

09:00-18:15 September 30Online

AMLD / Global partners