Bruno Lepri

Miembro CCA, Investigador Asociado

brunolepri.es.md photo

Bruno Lepri is senior researcher at Fondazione Bruno Kessler (Trento, Italy) where he leads the Mobile and Social Computing Lab (MobS). He has recently launched the Center for Computational Social Science and Human Dynamics, a joint initiative between Fondazione Bruno Kessler and the University of Trento. Since July 2022, he is the Chief Scientific Office of Ipazia, a new company active on AI solutions for financial services and energy management. From 2019 to 2022, Bruno was also the Chief AI Scientist of ManpowerGroup where he has collaborated with the global innovation team on AI projects for recruitment and HR management. Bruno is also a senior research affiliate at Data-Pop Alliance, the first think-tank on big data and development co-created by the Harvard Humanitarian Initiative, MIT Media Lab, Overseas Development Institute, and Flowminder. Finally, he has co-founded Profilio, a startup on AI-driven psychometric analysis. In 2010 he won a Marie Curie Cofund postdoc fellowship and he has held a 3 year postdoc position at MIT Media Lab. He holds a Ph.D. in Computer Science from the University of Trento. His research interests include computational social science, personality computing, network science, and machine learning. His research has received attention from several international press outlets and obtained the 10-year impact award at MUM 2021, the James Chen Annual Award for best 2016 UMUAI paper, and the best paper award at ACM Ubicomp 2014.

Publicaciones en asociación con 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.
Gulati, A., Martinez-Garcia, M., Lepri, B., & Oliver, N. (2024). What is Beautiful is Still Good: The Attractiveness Halo Effect in the era of Beauty Filters. Preprint.

2023

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

2022

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.
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

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

2020

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
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.