Nuria Oliver

Directora Cientifica y Cofundadora

Nuria Oliver es Directora Científica y cofundadora de ELLIS Alicante. Es cofundadora y vicepresidenta de ELLIS.

Anteriormente, fue Asesora Científica Jefe del Instituto Vodafone, Directora de Investigación en Ciencia de Datos en Vodafone, Directora Científica en Telefónica e investigadora en Microsoft Research. Tiene un doctorado por el Media Lab del MIT y un doctorado Honoris Causa por la Universidad Miguel Hernández. También es Científica Jefa de Datos en DataPop Alliance. Durante la pandemia de COVID-19, ocupó el cargo honorífico de Comisionada para Presidencia de la Generalitat Valenciana en IA y Ciencias de Datos en la Lucha contra COVID-19. Asesora a numerosas instituciones, universidades y empresas.

Es IEEE Fellow, ACM Fellow y EurAI Fellow y académica electa de la Real Academia de Ingeniería de España. También es miembro de CHI Academy, la Academia Europaea y miembro correspondiente de la Academia de Ingeniería de México. Es conocida por su trabajo en modelos computacionales de comportamiento humano, interacción persona-máquina, computación móvil y el uso del big data y la Inteligencia Artificial para el bien social. Inventora de 40 patentes. Ha recibido numerosos premios, entre los que destacan el Premio Joven Innovador MIT TR100 (2004), Premio Nacional de Informática de España (2016), Ingeniera del Año (2018), Medalla Valenciana al Impacto Social y Empresarial (2018), Científica de Datos del Año en Europa. (2019), Premio Rey Jaume I en Nuevas Tecnologías (2021) y Premio Abie al Liderazgo Tecnológico por AnitaB.org (2021). Según Research.com, es la investigadora (mujer) informática española con mayor impacto científico (2022-2024).

Sitio web: https://www.nuriaoliver.com/

Enlace al perfil del ORCID:

https://orcid.org/0000-0001-5985-691X

Publicaciones en asociación con ELLIS Alicante.

2024

10/19
Santiago de Compostela, ES

Favero, L. A., Pérez-Ortiz, J. A., Käser, T., & Oliver, N. (2024). Enhancing Critical Thinking in Education by means of a Socratic Chatbot. International Workshop on AI in Education and Educational Research, ECAI 2024 workshop.

10/05

Schweighofer, K., Arnaiz-Rodríguez, A., Hochreiter, S., & Oliver, N. (2024). The Disparate Benefits of Deep Ensembles. arXiv:2410.13831.

09/29
Milan, IT

Riccio, P., Curto, G., & Oliver, N. (2024). Exploring the Boundaries of Content Moderation in Text-to-Image Generation. Critical evaluation of generative models and their impact on society (CEGIS) workshop at ECCV.

09/29
Milan, IT

Riccio, P., Curto, G., Hofmann, T., & Oliver, N. (2024). An Art-centric perspective on AI-based content moderation of nudity. Artificial Intelligence for Visual Arts (AI4VA) workshop at ECCV.

09/29
Milan, IT

Gulati, A., Lepri, B., & Oliver, N. (2024). Lookism: The overlooked bias in computer vision. Fairness and ethics towards transparent AI: facing the chalLEnge through model Debiasing (FAILED) - Workshop at ECCV 2024.

07/23

Derner, E., Kučera, D., Oliver, N., & Zahálka, J. (2024). Can ChatGPT Read Who You Are?. Computers in Human Behavior: Artificial Humans, 2(2), 100088.

07/18

Gulati, A., Martinez-Garcia, M., Fernandez, D., Lozano, MA., Lepri, B., & Oliver, N. (2024). What is Beautiful is Still Good: The Attractiveness Halo Effect in the era of Beauty Filters. International Conference on Computational Social Science; International Conference on Thinking.

06/19

Derner, E., Sansalvador de la Fuente, S., Gutiérrez, Y., Moreda, P., & Oliver, N. (2024). Leveraging Large Language Models to Measure Gender Bias in Gendered Languages. arXiv:2406.13677.

05/11

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.

04/19

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.

03/31

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.

03/07

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.

03/06

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).

03/06

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).

02/21

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.

02/21
Vancouver, CA

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

12/26

Derner, E., Kučera, D., Oliver, N., & Zahálka, J. (2023). Can ChatGPT Read Who You Are?. arXiv:2312.16070.

12/01

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.

11/29

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.

07/09

Gulati, A., Martinez-Garcia, M., Lozano, M. A., Lepri, B., & Oliver, N. (2023). The Beauty Survey - Study Registration. .

05/05

Curto, G., Arnaiz-Rodríguez, A., & Oliver, N. (2023). Algorithms for Social Justice: Affirmative Action in Social Networks. arXiv:2305.03223.

03/03

Arnaiz-Rodríguez, A., Escolano, F., & Oliver, N. (2023). FairShap: A Data Re-weighting Approach for Algorithmic Fairness based on Shapley Values. arXiv:2303.01928.

03/01

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.

02/22

Oliver, N. (2023). A Philosopher's Daughter Navigates a Career in AI. Communications of the ACM, 13-13.

02/18

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

12/21

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.

12/21

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.

11/01

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.

09/27

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.

07/22

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% de las publicaciones científicas según Altmetric

07/22

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.

Track de mejores articulos

07/19

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.

07/15

Conejero, A. J., & Oliver, N. (2022). La iniciativa Valencia IA4COVID. Indice: Revista de Estadística y Sociedad, 1(86), 33-35.

07/04

Oliver, N. (2022). SRIP Report 2022. SRIP Report of the European Commission, 664-707.

06/27

Riccio, P., Oliver, J. L., Escolano, F., & Oliver, N. (2022). Algorithmic Censorship of Art: A Proposed Research Agenda. 13th International Conference on Computational Creativity.

04/22

Cauchard, J., Jarke, M., & Oliver, N. (2022). Communications of the ACM Europe Special Section. Communications of the ACM, 65(4), 32-34.

03/22

Alt, F., Kostakos, V., & Oliver, N. (2022). Out-of-the-Lab Pervasive Computing. IEEE Pervasive Computing Journal, 21(1), 7-8.

01/20

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

12/06

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.

09/20

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.

En el top 6% de todas las publicaciones evaluadas por Altmetric

09/17

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.

Premio a mejor artículo científico!

05/31

Luca, M., Barlacchi, G., Oliver, N., & Lepri, B. (2021). Leveraging Mobile Phone Data for Migration Flows. arXiv preprint arXiv:2105.14956.

03/19

Lepri, B., Oliver, N., & Pentland, A. (2021). Ethical machines: The human-centric use of artificial intelligence. iScience, 24(3), 102249.

02/02

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.

En el top 4% de todas las publicaciones evaluadas por Altmetric

2020

09/10

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.

En el top 5% de todas las publicaciones evaluadas por Altmetric

06/01

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.

En el top 5% de todas las publicaciones evaluadas por Altmetric

04/16

Roomp, K., & Oliver, N. (2020). ACDC-Tracing: Towards Anonymous Citizen-Driven Contact Tracing. arXiv preprint arXiv:2004.07463.

03/27

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.