Data Science to Fight Against COVID-19


In my talk, I will describe the work that we have done as Commissioner on AI and COVID-19 for the President of the Valencian Region. Since March 2020, I have been leading a multi-disciplinary team of 20+ volunteer scientists been working on 4 large areas: (1) human mobility modeling; (2) computational epidemiological models (both metapopulation, individual and LSTM-based models); (3) predictive models; and (4) citizen surveys via the COVID19 impact survey ( with over 600,000 answers worldwide. Moreover, I have co-led the ValenciaIA4COVID team, the winning team of the 500k XPRIZE Pandemic Response Challenge.

I will describe the results that we have produced in each of these areas and will share the lessons learned in this very special initiative of collaboration between the civil society at large (through the survey), the scientific community (through the Expert Group) and a public administration (through the Commissioner at the Presidency level).


Nuria Oliver is the Commissioner to the President of the Valencian Government on AI Strategy and Data Science against COVID-19; Cofounder and Vicepresident of ELLIS; Cofounder of the ELLIS Alicante Unit Foundation; Chief Data Scientist at Data-Pop Alliance.

Nuria earned her PhD from MIT; is a Fellow of the IEEE, an ACM Fellow and Fellow; Member of the Spanish Royal Academy of Engineering, SIGCHI Academy and Academia Europaea. She has 25+ years of research experience in human-centric AI and is the author of 160+ widely cited scientific articles as well as an inventor of 40+ patents and a public speaker. Her work is regularly featured in the media and has received numerous recognitions, including the Spanish National Computer Science Award (Angela Ruiz Robles category), the MIT TR100 (today TR35) Young Innovator Award (first Spanish scientist to receive this award); 2019 Data Scientist of the Year in Europe; 2020 Data Scientist of the Year by ESRI. She has recently co-led ValenciaIA4COVID, the winning team of the 500k XPRIZE Pandemic Response Challenge.

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