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 / Schedule

Introduction to the track

With Marcel Salathé

Opening remarks

Data Science against COVID-19

With Nuria Oliver

Improving clinical decision making for patients with COVID-19: identifying risk factors for mortality in hospitalised patients in the USA

With Shemra Rizzo

Rapid Cues for Research: COVID-19 Exploratory Search System Using Taxonomies

With Muhammad Atif Qureshi

On the automation of de-novo molecular design and chemical synthesis planning - a case study on SARS-CoV-2

With Jannis Born

Coffee break

Mapping the landscape of artificial intelligence applications against COVID-19

With Miguel Luengo-Oroz

Impacts of COVID-19 Mobility Restrictions on Dietary Interests

With Kristina Gligorić

Facebook surveys provide rapid insights into people's behaviours during the COVID-19 pandemic

With Daniela Perrotta

2020 Year in review : AI versus COVID?

Concluding remarks


Opening remarks

Digital tools against covid19. Ethics and governance challenges.

With Effy Vayena

The Covid-19 Infodemics Observatory

With Riccardo Gallotti

Interpreting public information for Covid-19: a case for deep learning

With Karl Aberer

Infodemics and Information Dynamics

With Walter Quattrociocchi

Coffee break

Making Mobility Data Useful during COVID-19

With Caroline Buckee

Estimating the effect of social inequalities on the mitigation of COVID-19 across communities in Santiago de Chile

With Nicolò Gozzi

A Bayesian spatial analysis of the association of socioeconomic inequality and perceived risk of infection with human mobility changes [...]

With Giulia Carella

Concluding remarks

Virtual Apéro

Track / Speakers

Marcel Salathé

Professor, EPFL

Nuria Oliver

Cofounder and Vice president, ELLIS

Kristina Gligorić

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, IBM Research Zurich

Karl Aberer

Professor, EPFL & Co-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 & Democracy

Robert West, Roy Gava, Victor Kristof, Steven Eichenberger, Alexandra Siegel, Lucas Leemann, Rayid Ghani, Sophie Achermann, Alexander Immer, Jacques Savoy, Oana Goga, Christine Choirat, Arianna Ornaghi, Irio Musskopf

10:00-18:00 January 25Online

AI & Food and Nutrition

Marcel Salathé, Fabio Mainardi, Tome Eftimov, Sharada Mohanty, Philippe Glénat, Timon Zimmermann, Mireille Moser, Ugo Gentile, Christoph Trattner, Enrico Zio, Yamine Bouzembrak, Christian Nils Schwab, Carrol Plummer, Patrizia Catellani, Matthias Graeber, Lorijn van Rooijen, Kristina Gligorić, Lydia Afman, Nourchene Ben Romdhane, Talia Salzmann, Thomas Chen, Gjorgjina Cenikj, Gorjan Popovski, Sola Shirai

09:00-17:00 March 01Online

Clinical Machine Learning

Marcel Salathé, Bastian Rieck, Matteo Togninalli, Damian Roqueiro, Christian Bock, Daniel Rueckert, Michael Menden, Stephanie Hyland, Steve Jiang, Danielle Belgrave, Julia Vogt, Tobias Gass, Alistair Johnson, Assaf Gottlieb, Finale Doshi-Velez, Bernice Elger, Vanessa Schumacher

09:10-18:00 March 18Online

AMLD / Global partners