Alex Berke

City Science
Publication

Routing with Privacy for Drone Package Delivery Systems

Ding, G., Berke, A., Gopalakrishnan, K., Degue, K., Balakrishnan, H., & Li, M. (2022). Routing with Privacy for Drone Package Delivery Systems. arXiv preprint arXiv:2203.04406.

Publication

Privacy Limitations Of Interest-based Advertising On The Web: A Post-mortem Empirical Analysis Of Google’s FLoC

Berke, Alex, and Dan Calacci. "Privacy Limitations Of Interest-based Advertising On The Web: A Post-mortem Empirical Analysis Of Google's FLoC." arXiv preprint arXiv:2201.13402 (2022).

Publication

Using mobile phone data to estimate dynamic population changes and improve the understanding of a pandemic: A case study in Andorra

Berke A, Doorley R, Alonso L, Arroyo V, Pons M, & Larson, K. (2022) Using mobile phone data to estimate dynamic population changes and improve the understanding of a pandemic: A case study in Andorra. PLOS ONE 17(4): e0264860. https://doi.org/10.1371/journal.pone.0264860

Publication

Private Delivery Networks: Extended Abstract

Berke, A., Lee, N., Chwalek, P. (2021). Private Delivery Networks: Extended Abstract. Presented at the 3rd International Workshop on Obfuscation, Delft University of Technology, Netherlands, 7 May.

Publication

Mobility and COVID-19 in Andorra: Country-scale analysis of high-resolution mobility patterns and infection spread

Doorley, R., Berke, A., Noyman, A., Alonso, L., Ribó, 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. IEEE Journal of Biomedical and Health Informatics, 26(1), pp.183-193.

Publication

From Private Location Data to Public Good

Berke, A. (2020). From private location data to public good. (Masters thesis). MIT Media Lab.

Publication

Urban Mobility Swarms: A Scalable Implementation

Berke A., Nawyn J., Lengeling T.S., Larson K. (2020) Urban Mobility Swarms: A Scalable Implementation. In: Arai K., Kapoor S., Bhatia R. (eds) Intelligent Computing. SAI 2020. Advances in Intelligent Systems and Computing, vol 1229. Springer, Cham

Publication

Contact Tracing Technologies: Methods and trade-offs

Alex Berke and Kent Larson, City Science group, MIT Media Lab (2020).

Publication

Assessing Disease Exposure Risk with Location Data: A Proposal for Cryptographic Preservation of Privacy

Alex Berke, Michiel Bakker, Praneeth Vepakomma, Kent Larson, Alex `Sandy' Pentland. (March 31 2020). "Assessing Disease Exposure Risk with Location Data: A Proposal for Cryptographic Preservation of Privacy." Retrieved from https://arxiv.org/pdf/2003.14412

Publication

Beautiful Symmetry: A Coloring Book about Math

Berke, Alex, et al. Beautiful Symmetry: A Coloring Book about Math. MIT Press (February 2020).

Publication

Bike Swarm

Berke, A., Sanchez Lengeling, T., Nawyn, J., & Larson, K. (2019, November). Bike Swarm. In Conference Companion Publication of the 2019 on Computer Supported Cooperative Work and Social Computing (pp. 1-4). ACM.

Publication

The Tradeoff Between the Utility and Risk of Location Data and Implications for Public Good

Calacci, Dan, Alex Berke, Kent Larson, Sandy Pentland. "The tradeoff between the utility and risk of location data and implications for public good." Presented at the Oxford & London School of Economics Connected Life conference. (2019). https://arxiv.org/abs/1905.09350

Publication

Preserving Sustainability Gains of the COVID-19 Pandemic: A Case Study of MIT Campus Commuting

Berke, A., Doorley, R., Alfonso, L., & Larson, K. (2022). Preserving Sustainability Gains of the COVID-19 Pandemic: A Case Study of MIT Campus Commuting. Transportation Research Record. https://doi.org/10.1177/03611981221088776

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