Elisa Omodei, Assistant Professor at the Department of Network and Data Science at Central European University Vienna, will give a live talk on Friday, Oct 28 at 3 pm in the Salon.
If you would like to attend, please email to email@example.com.
Title: “Complexity and data-driven approaches to monitor the SDGs: food insecurity as a case study.”
In a rapidly changing world, facing an increasing number of socioeconomic, health and environmental crises, complexity science and data science can help us quantify vulnerabilities and monitor progress towards achieving the UN Sustainable Development Goals.
In this talk, she will provide a non-exhaustive overview of the main areas of applications where data-driven computational methods have shown their potential for social impact. She will then give a more deep-dive, specifically into her work on predicting food insecurity from conflict, weather, and economic data.
Elisa Omodei is an Assistant Professor at the Department of Network and Data Science at the Central European University. She spent over four years at the United Nations, first at UNICEF’s Office of Innovation in New York and then at the UN World Food Programme in Rome. In her research, she explores how complexity and data science can help us address the needs of the most vulnerable populations and monitor the UN Sustainable Development Goals. She also served as Vice-President Secretary of the Complex Systems Society from 2018 to 2021.