Bruno Lepri

SAB member, Associate Scientist

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.

Publications in association with ELLIS Alicante

2024

11/27

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. Royal Society Open Science, 11(11).

Top 5% of research outputs scored by Altmetric

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.

07/18

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.

2023

07/09

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

2022

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.

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

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.

In the top 4% of all research outputs scored by Altmetric

2020

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.

In the top 5% of all research outputs scored by Altmetric

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.