Nuria Oliver

Scientific Director and Cofounder

nuriaoliver.en.md photo

Nuria Oliver is Scientific Director and one of the founders of ELLIS Alicante. She is co-founder and vice-president of ELLIS.

Previously, she was Chief Scientific Advisor to the Vodafone Institute, Director of Data Science Research at Vodafone, Scientific Director at Telefónica and researcher at Microsoft Research. She holds a PhD from the Media Lab at MIT and an Honorary Doctorate from the University Miguel Hernández. She is also Chief Data Scientist at DataPop Alliance. During the COVID-19 pandemic, she held an honorary position as Commissioner to the President of the Valencian Government on AI and Data Science against COVID-19. She advises several universities, governments and companies.

She is an IEEE Fellow, and ACM Fellow, and EurAI Fellow and elected permanent member of the Royal Academy of Engineering of Spain. She is also a member of CHI Academy, the Academia Europaea and corresponding member at the Academy of Engineering of Mexico. She is well known for her work in computational models of human behavior, human computer-interaction, mobile computing and big data for social good. Named inventor of 40 patents. She has received many awards, including the MIT TR100 Young Innovator Award (2004), Spanish National Computer Science Award (2016), Engineer of the Year (2018), Valencian Medal to Business and Social Impact (2018), Data Scientist of the Year (2019), Jaume I Award in New Technologies (2021) and Abie Technology Leadership Award by AnitaB.org (2021). According to Research.com, she is the Spanish female computer scientist with largest scientific impact (2022-2024) .

Website: https://www.nuriaoliver.com/
Link to ORCID profile: ORCID iD icon https://orcid.org/0000-0001-5985-691X

Publications in association with ELLIS Alicante

2024

Gulati, A., Martinez-Garcia, M., Lepri, B., & Oliver, N. (2024). What is beautiful is still good, especially if you are man: The Attractiveness Halo Effect in the era of AI-based Beauty Filters. International Conference on Computational Social Science.
Riccio, P., Hofmann, T., & Oliver, N. (2024). Exposed or Erased: Algorithmic Censorship of Nudity in Art. CHI '24: Proceedings of the CHI Conference on Human Factors in Computing Systems, 1-17.
Riccio, P., Colin, J., Ogolla, S., & Oliver, N. (2024). Mirror, Mirror on the wall, who is the whitest of all? Racial biases in social media beauty filters. Social Media and Society, 10(2), 20563051241239295.
Riccio, P., & Oliver, N. (2024). A Techno-Feminist Perspective on the Algorithmic Censorship of Artistic Nudity. Bibliotheca Hertziana–Max Planck Institute for Art History, 3.
Arnaiz-Rodríguez, A., Curto, G., & Oliver, N. (2024). Structural Group Unfairness: Measurement and Mitigation by means of the Effective Resistance. WWW 2024 Workshop on Trustworthy Learnin on Graphs (TrustLOG).
Arnaiz-Rodríguez, A., & Oliver, N. (2024). Towards Algorithmic Fairness by means of Instance-level Data Re-weighting based on Shapley Values. ICLR 2024 Workshop on Data-centric Machine Learning Research (DMLR).
Bolt, K., Gil-González, D., & Oliver, N. (2024). Unconventional data, unprecedented insights: leveraging non-traditional data during a pandemic. Frontiers of Public health, 12, 1350743.
Favero, L. A., Pérez-Ortiz, J. A., Käser, T., & Oliver, N. (2024). Towards Student-Centric AI-Supported Learning: Teaching Chatbots to Ask the Right Questions. Collaborative AI and Modeling of Humans, AAAI Bridge Program.
Derner, E., Kučera, D., Oliver, N., & Zahálka, J. (2024). Can ChatGPT Read Who You Are?. Collaborative AI and Modeling of Humans, AAAI Bridge Program.

2023

Derner, E., Kučera, D., Oliver, N., & Zahálka, J. (2023). Can ChatGPT Read Who You Are?. arXiv:2312.16070.
Begga, A., Garibo I Orts, O., De Maria Garcia, S., Escolano, F., Lozano, M.A., Oliver, N., & Conejero, J.A. (2023). Predicting COVID19 pandemic waves including vaccination data with deep learning. Frontiers of Public health, 11, 1279364.
Németh, G. D., Lozano, M. A., Quadrianto, N., & Oliver, N. (2023). Addressing Membership Inference Attack in Federated Learning with Model Compression. arXiv preprint:2311.17750.
Curto, G., Arnaiz-Rodríguez, A., & Oliver, N. (2023). Algorithms for Social Justice: Affirmative Action in Social Networks. arXiv:2305.03223.
Arnaiz-Rodríguez, A., Escolano, F., & Oliver, N. (2023). FairShap: A Data Re-weighting Approach for Algorithmic Fairness based on Shapley Values. arXiv:2303.01928.
Letouzé, E., Oliver, N., Lepri, B., & Vinck, P. (2023). AI FOR THE SDGS—AND BEYOND? TOWARDS A HUMAN AI CULTURE FOR DEVELOPMENT AND DEMOCRACY. Missing Links in AI Governance by UNESCO and MILA, 162-189.
Oliver, N. (2023). A Philosopher's Daughter Navigates a Career in AI. Communications of the ACM, 13-13.
Riccio, P., & Oliver, N. (2023). Racial Bias in the Beautyverse: Evaluation of Augmented-Reality Beauty Filters. European Conference on Computer Vision 2022, 13803, 714-721.

2022

Németh, G. D., Lozano, M. A., Quadrianto, N., & Oliver, N. (2022). A Snapshot of the Frontiers of Client Selection in Federated Learning. Transactions on Machine Learning Research.
Arnaiz-Rodríguez, A., Begga, A., Escolano, F., & Oliver, N. (2022). DiffWire: Inductive Graph Rewiring via the Lovász Bound. Proceedings of the First Learning on Graphs Conference, PMLR, 198, 15:1-15:27.
Fuente, D., Hervás, D., Rebollo, M., Conejero, J.A., & Oliver, N. (2022). COVID-19 outbreaks analysis in the Valencian Region of Spain in the prelude of the third wave. Frontiers of Public Health, 10.
Gulati, A., Lozano, M. A., Lepri, B., & Oliver, N. (2022). BIASeD: Bringing Irrationality into Automated System Design. Thinking Fast and Slow and Other Cognitive Theories in AI, AAAI Fall Symposium 2022.
Martínez-García, M., Sansano-Sansano, E., Castillo-Hornero, A., Femenia, R., Roomp, K., & Oliver, N. (2022). Social Isolation during the COVID-19 Pandemic in Spain: A Population Study. Nature Scientific Reports, 12(1), 1-15.
Top 8% of research outputs scored by Altmetric
Lozano, M.A., Garibo, O., Piñol, E., Rebollo, M., Polotskaya, K., Garcia-March, M. A., Conejero, J. A., Escolano, F., & Oliver, N. (2022). Open Data Science to fight COVID-19: Winning the 500k XPRIZE Pandemic Response Challenge. International Joint Conference on Artificial Intelligence Organization (IJCAI), 5304-5308.
Best paper award track from sister conferences
Riccio, P., Psomas, B., Galati, F., Escolano, F., Hofmann, T., & Oliver, N. (2022). OpenFilter: A Framework to Democratize Research Access to Social Media AR Filters. 36th Conference on Neural Information Processing Systems (NeurIPS) Datasets and Benchmarks Track.
Conejero, A. J., & Oliver, N. (2022). La iniciativa Valencia IA4COVID. Indice: Revista de Estadística y Sociedad, 1(86), 33-35.
Oliver, N. (2022). SRIP Report 2022. SRIP Report of the European Commission, 664-707.
Riccio, P., Oliver, J. L., Escolano, F., & Oliver, N. (2022). Algorithmic Censorship of Art: A Proposed Research Agenda. 13th International Conference on Computational Creativity.
Cauchard, J., Jarke, M., & Oliver, N. (2022). Communications of the ACM Europe Special Section. Communications of the ACM, 65(4), 32-34.
Alt, F., Kostakos, V., & Oliver, N. (2022). Out-of-the-Lab Pervasive Computing. IEEE Pervasive Computing Journal, 21(1), 7-8.
De Nadai, M., Roomp, K., Lepri, B., & Oliver, N. (2022). The Impact of Control and Mitigation Strategies during the Second Wave of coronavirus Infections in Spain and Italy. Nature Scientific Reports, 12(1), 1-13.

2021

Xue, H., Salim, F. D., Ren, Y., & Oliver, N. (2021). MobTCast: Leveraging Auxiliary Trajectory Forecasting for Human Mobility Prediction. Advances in Neural Information Processing Systems, 34, 30380-30391.
Martinez-Garcia, M., Rabasa, A., Barber, X., Polotskaya, K., Roomp, K., & Oliver, N. (2021). 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, 1-18.
In the top 6% of all research outputs scored by Altmetric
Lozano, M.A., Garibo, O., Piñol, E., Rebollo, M., Polotskaya, K., Garcia-March, M. A., Conejero, J. A., Escolano, F., & Oliver, N. (2021). Open Data Science to fight COVID-19: Winning the 500k XPRIZE Pandemic Response Challenge. Joint European Conference on Machine Learning and Knowledge Discovery in Databases, 384-399.
Best paper award!
Luca, M., Barlacchi, G., Oliver, N., & Lepri, B. (2021). Leveraging Mobile Phone Data for Migration Flows. arXiv preprint arXiv:2105.14956.
Lepri, B., Oliver, N., & Pentland, A. (2021). Ethical machines: The human-centric use of artificial intelligence. iScience, 24(3), 102249.
Nanni, M., Andrienko, G., Barabási, A. L., Boldrini, C., Bonchi, F., Cattuto, C., Chiaromonte, F., Comandé, G., Conti, M., Coté, M., Dignum, F., Dignum, V., Domingo-Ferrer, J., Ferragina, P., Giannotti, F., Guidotti, R., Helbing, D., Kaski, K., Kertesz, J., Lehmann, S., Lepri, B., Lukowicz, P., Matwin, S., Jiménez, D. M., Monreale, A., Morik, K., Oliver, N., Passarella, A., Passerini, A., Pedreschi, D., Pentland, A., Pianesi, F., Pratesi, F., Rinzivillo, S., Ruggieri, S., Siebes, A., Torra, V., Trasarti, R., Van Den Hoven, J., & Vespignani, A. (2021). Give more data, awareness and control to individual citizens, and they will help COVID-19 containment. iScience, 23(1), 1-6.
In the top 4% of all research outputs scored by Altmetric

2020

Oliver, N., Barber, X., Roomp, K., & Roomp, K. (2020). Assessing the Impact of the COVID-19 Pandemic in Spain: Large-Scale, Online, Self-Reported Population Survey. Journal of Medical Internet Research, 22(9), e21319.
In the top 5% of all research outputs scored by Altmetric
Oliver, N., Lepri, B., Sterly, H., Lambiotte, R., Deletaille, S., De Nadai, M., Letouzé, E., Salah, A. A., Benjamins, R., Cattuto, C., Colizza, V., de Cordes, N., Fraiberger, S. P., Koebe, T., Lehmann, S., Murillo, J., Pentland, A., Pham, P. N, Pivetta, F., Saramäki, J., Scarpino, S. V., Tizzoni, M., Verhulstand, S., & Vinck, P. (2020). Mobile phone data for informing public health actions across the COVID-19 pandemic life cycle. Science Advances, 6(23), eabc0764.
In the top 5% of all research outputs scored by Altmetric
Roomp, K., & Oliver, N. (2020). ACDC-Tracing: Towards Anonymous Citizen-Driven Contact Tracing. arXiv preprint arXiv:2004.07463.
Oliver, N., Letouzé, E., Sterly, H., Delataille, S., De Nadai, M., Lepri, B., Lambiotte, R., Benjamins, R., Cattuto, C., Colizza, V., de Cordes, N., Fraiberger, S. P., Koebe, T., Lehmann, S., Murillo, J., Pentland, A., Pham, P. N., Pivetta, F., Salah, A. A., Saramäki, J., Scarpino, S. V., Tizzoni, M., Verhulst, S., & Vinck, P. (2020). Mobile phone data and COVID-19: Missing an opportunity?. arXiv preprint arXiv:2003.12347.