Past Member

Esteban Moro Egido

Former Visiting Professor
Publication

Behavioral changes during the COVID-19 pandemic decreased income diversity of urban encounters

Yabe, T., Bueno, B.G.B., Dong, X. et al. Behavioral changes during the COVID-19 pandemic decreased income diversity of urban encounters. Nat Commun 14, 2310 (2023). https://doi.org/10.1038/s41467-023-37913-y

Publication

Quantifying the importance and location of SARS-CoV-2 transmission events in large metropolitan areas

Aleta, Alberto, et al. "Quantifying the importance and location of SARS-CoV-2 transmission events in large metropolitan areas." PNAS, Vol. 119 | No. 26. June 13, 2022. https://doi.org/10.1073/pnas.211218211

Publication

Mobility patterns are associated with experienced income segregation in large US cities

Moro, E., Calacci, D., Dong, X. et al. Mobility patterns are associated with experienced income segregation in large US cities. Nat Commun 12, 4633 (2021). https://doi.org/10.1038/s41467-021-24899-8

Publication

Universal resilience patterns in labor markets

E. Moro, et al (2021) Universal resilience patterns in labor markets, Nature Communications, 12(1972), DOI:https://doi.org/10.1038/s41467-021-22086-3

Publication

Toward understanding the impact of artificial intelligence on labor

Frank, Morgan R., David Autor, James E. Bessen, Erik Brynjolfsson, Manuel Cebrian, David J. Deming, Maryann Feldman, et al. “Toward Understanding the Impact of Artificial Intelligence on Labor.” Proceedings of the National Academy of Sciences, March 25, 2019, 201900949. https://doi.org/10.1073/pnas.1900949116.

Publication

Weather impacts expressed sentiment

Baylis P, Obradovich N, Kryvasheyeu Y, Chen H, Coviello L, et al. (2018) Weather impacts expressed sentiment. PLOS ONE 13(4): e0195750.

Publication

Generating synthetic mobility data for a realistic population with RNNs to improve utility and privacy

Alex Berke, Ronan Doorley, Kent Larson, Esteban Moro. 2022. Generating synthetic mobility data for a realistic population with RNNs to improve utility and privacy. In Proceedings of The 37th ACM/SIGAPP Symposium on Applied Computing (SAC ’22). 955-959. https://doi.org/10.1145/3477314.3507230