Elisa Omodei: Computational approaches to monitor food insecurity: challenges and opportunities.

08 décembre | 17h00

Seminar series in Computational Social Science (CSS) – at Centre Marc Bloch Berlin 

Session 7:

Elisa Omodei (Central European University):

Computational approaches to monitor food insecurity: challenges and opportunities.

In a rapidly changing world, facing an increasing number of socioeconomic, health and environmental crises, data-driven computational approaches can help us quantify vulnerabilities and monitor progress towards achieving the UN Sustainable Development Goals. In this talk, I will first provide a non-exhaustive overview of the main areas of applications where these approaches have shown their potential for social impact, and I will then deep-dive more specifically into my work on predicting food insecurity from conflict, weather, and economic data.

Program of the seminar: https://cmb.huma-num.fr/css-seminar/