As a member of the Valencia Data Science Task Force, I have participated with Miguel Rebollo in the summer school Lessons learned from the COVID-19 pandemic in hospitals and social health centers in Spain (ONLINE) held at the Escola de Salut Pública of Menorca held at the Lazaretto hospital of Menorca (Spain). We have talked about the evolution of the COVID-19 pandemics spreading modeling. We have also explained what lessons we have learned, from the Data Science perspective, that can be taken into account for the next pandemics. I want to thank Jose Felix Hoyo for giving the chance to participate there.

Our paper «Open Data Science to fight COVID-19: Winning the 500k Pandemic Response Challenge» coauthored by M.A. Lozano*, O. Garibo, E. Piñol, M. Rebollo, K. Polotskaya, M.A. García-March, F. Escolano, N. Oliver, and myself has been awarded the Best Applied Science Paper in the  European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases held at Basque Center of Applied Mathematics from the 13th to the 17th of September 2021.

In this work, we describe the deep learning-based COVID-19 cases predictor and the Pareto-optimal Non-Pharmaceutical Intervention (NPI) prescriptor developed by the winning team of the 500k XPRIZE Pandemic Response Challenge, a four-month global competition organized by the XPRIZE Foundation. You can download the paper from https://2021.ecmlpkdd.org/wp-content/uploads/2021/07/sub_638.pdf 

I have been invited as Keynote speaker at the  29th International Conference on Information Systems Development (ISD2021). The conference will be hosted by Universitat Politècnica de València, Spain, on 8-10 September. The theme of ISD2021 is Crossing boundaries between Development and Operations (DevOps) in Information Systems.  In my keynote, I introduce the Data Science Task Force of the Valencia Region for fighting the COVID-10 pandemics. We achieve to develop accurate computational epidemiological models that were complemented with human mobility studies, and information from a citizen survey called COVID19 impact survey. Our work has received national and international recognition, including being the global winners of the 500k XPRIZE Pandemic Response Challenge. I briefly described these models and how information systems can feed these models to help against the COVID-19 pandemics.

In this nice article by Willem Marx published in WIRED, he reports our work within the Data Science Task Force at the Valencia Region, headed by Nuria Oliver, in which I have been working for the last two years. You can read the full article here.

It is very good summary of our work, our contribution, and our personal motivations to work on this project. in the interview, I outline what is the importance of offer a pool of decisions, and facilitate to the administrations to take optimal decisions.