In the past, we have worked on three types of problems, strongly dependent on both the behaviours of individuals (in what we call bottom-up collective processes), and of decision-makers (the top-down decisions). More recently we focused on two main areas:
Disease dynamics, of both infectious and non-infectious diseases. We strive to help policy makers in disease control (including during the pandemic) and we try to answer questions such as:
- Can we use online data to improve nowcasting and forecasting of several diseases?
- How can we reduce antibiotic over-prescription?
- How is climate change impacting disease dynamics?
Behavior, both online and offline. This is much more fundamental and it comes from the realization that the Digital Era is offering us a giant mirror, a macroscope, that will allow us to understand human behaviour at a completely new scale. By using both social networks and the spread of fake news as case studies, we are trying to identify underlying principles, both mathematical and behavioural, that can be generalized to different contexts. We ask:
- Can we use online behaviour to learn about cognitive biases?
- Can we identify small behavioural sub-populations and predict their larger impact(s)?
- Can we use this “macroscope” in an ethical manner?
We have been awarded an ERC grant to study such biases in decision-making, using fake news sharing as a case-study.