In my talk, I will describe the work that I have been doing since March 2020, leading a multi-disciplinary team of 20+ volunteer scientists working very closely with the Presidency of the Valencian Government in Spain on 4 large areas: (1) human mobility modeling; (2) computational epidemiological models (both metapopulation, individual and LSTM-based models); (3) predictive models; and (4) a large-scale, online citizen surveys called the COVID19impactsurvey (https://covid19impactsurvey.org) with over 700,000 answers worldwide. This survey has enabled us to shed light on the impact that the pandemic is having on people's lives [3,4,5]. I will present the results obtained in each of these four areas, including winning the 500K XPRIZE Pandemic Response Challenge [1] and obtaining a best paper award at ECML-PKDD 2021 [2]. I 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). For those interested in knowing more, WIRED magazine published an extensive article describing our story: https://www.wired.co.uk/article/valencia-ai-covid-data. ACKNOWLEDGMENTS My talk describes the work of over 20 scientists from the Data Science against COVID-19 taskforce, including researchers from the University of Alicante, the University Miguel Hernández, the Polytechnic University of Valencia, the University Jaume I, the CEU Cardenal Herrera University and FISABIO. The work has been partially funded by grants FONDOS SUPERA COVID-19 Santander-CRUE, 2020-2021, Fundación BBVA to scientific research teams SARS-CoV-2 COVID-19, IA4COVID19 2020-2022 and the Valencian Government via their Science, Innovation and Digital Society Ministry. REFERENCES [1] 500K XPRIZE Pandemic Response Challenge, https://www.xprize.org/challenge/pandemicresponse/winners-results [2] Miguel Angel Lozano, Eloy Piñol, Miguel Rebollo, Kristina Polotskaya, Miguel Angel Garcia-March, J Alberto Conejero, Francisco Escolano, Nuria Oliver, Open Data Science to fight COVID-19: Winning the 500k XPRIZE Pandemic Response Challenge, Proc. Joint European Conference on Machine Learning and Knowledge Discovery in Databases, pp 384--399, 2021 [Best paper award in Data Science] [3] Nuria Oliver, Xavier Barber, Kirsten Roomp, Kristof Roomp. Assessing the Impact of the COVID-19 Pandemic in Spain: Large-Scale, Online, Self-Reported Population Survey, J Med Internet Res 2020;22(9):e21319, doi: 10.2196/21319PMID: 32870159PMCID: 7485997 [4] Marina Martinez-Garcia, Alejandro Rabasa, Xavier Barber, Kristina Polotskaya, Kristof Roomp, Nuria Oliver. Key factors affecting people's unwillingness to be confined during the COVID-19 pandemic in Spain: a large-scale population study, Nature Scientific reports 11 (1), 1-18 [5] Marina Martinez-Garcia, Emilio Sansano Sansano, Andrea Castillo-Hornero, Ruben Femenia, Kristof Roomp, Nuria Oliver. Social isolation during the COVID-19 pandemic in Spain: a population study. MedRxiv, Jan 2022