Project-team

SODA

Computational and mathematical methods to understand health and society with data
Computational and mathematical methods to understand health and society with data

The soda team does research at the intersection between machine-learning, databases, and quantitative social sciences (eg empirical economy, epidemiology…).

We develop computational data processing tools to generate insight and predictions from todays large databases that characterize populations. We contribute tools of statistical machine learning to answer data-science problems, typical on relational data. Our main applications and health and education.

Centre(s) inria
Inria Saclay Centre

Contacts

Team leader

Marie Enee

Team assistant

Ekaterina George

Team assistant

News