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
E. C. Ferrer, T. Hardjono, A. S. Pentland, M. Dorigo, Secure and secret cooperation in robot swarms. Sci. Robot. 6, eabf1538 (2021).
Doorley, R.M., Berke, A., Noyman, A., Alonso, L.A., Ribo, J., Arroyo, V., Pons, M. and Larson, K., 2021. Mobility and COVID-19 in Andorra: Country-scale analysis of high-resolution mobility patterns and infection spread. medRxiv.
Berke, A. (2020). From private location data to public good. (Masters thesis). MIT Media Lab.
Nosakhare, E., Picard, R. W. Probabilistic Latent Variable Modeling for Assessing Behavioral Influences on Well-Being," ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD ’19), August 4–8, 2019, Anchorage, AK, USA. ACM, New York, NY, USA. https://doi.org/10.1145/3292500.3330738
Diverse data selection via combinatorial quasi-concavity of distance covariance: A polynomial time global minimax algorithm, Praneeth Vepakomma, Yulia Kempner
Berke, Alex, Calacci, Dan, Larson, Kent, Pentland, Alex (Sandy), "The Tradeoff Between the Utility and Risk of Location Data and Implications for Public Good," arXiv.org, 2019.
T. Nishikata, T. Hardjono and A. Pentland, Social Capital Accounting, October 2018.
Grignard, A., Alonso, L., Taillandier, P., Gaudou, B., Nguyen-Huu, T., Gruel, W., & Larson, K. (2018, July). The Impact of New Mobility Modes on a City: A Generic Approach Using ABM. In International Conference on Complex Systems (pp. 272-280). Springer, Cham.