Looking beyond smart cities

Leticia Izquierdo, Gabriela Bìlá, Maitane Iruretagoyena, and Kent Larson. 2025. The Community Carbon Impact: Engaging Visitors in Urban Sustainability. interactions 32, 6 (November - December 2025), 12–15. https://doi.org/10.1145/3769006

Platnick, D., Gruener, M., Alirezaie, M., Larson, K., Newman, D.J., Rahnama, H. (2026). Perspective-Aware AI in Extended Reality. In: De Paolis, L.T., Arpaia, P., Sacco, M. (eds) Extended Reality. XR Salento 2025. Lecture Notes in Computer Science, vol 15743. Springer, Cham. https://doi.org/10.1007/978-3-031-97781-7_7

Rico, Andres. "De dispositivos inteligentes a comunidades inteligentes." Ixaya. Revista Universitaria de Desarrollo Social. 29 de Agosto del 2025 15.29 (2025): 151-165.

Chance Jiajie Li, Jiayi Wu, Zhenze Mo, Ao Qu, Yuhan Tang, Kaiya Ivy Zhao, Yulu Gan, Jie Fan, Jiangbo Yu, Jinhua Zhao, Paul Liang, Luis Alonso, Kent Larson. (2025). Position: Simulating Society Requires Simulating Thought. In Proceedings of the 39th Conference on Neural Information Processing Systems (NeurIPS 2025).

C. Adornetto et al., "Generative Agents in Agent-Based Modeling: Overview, Validation, and Emerging Challenges," in IEEE Transactions on Artificial Intelligence, doi: 10.1109/TAI.2025.3566362.

Eduardo Bilbao Pavón, Luis Alonso Pastor, Alejandro Padilla, Mayra Gamboa, Kent Larson, Predicting mobility choice and community connectivity in Latin America, Case Studies on Transport Policy, Volume 19, 2025,

Balderas-Cejudo, A., Iruretagoyena, M., Alonso, L., Church, M., Izquierdo, L., Hill, I., & Larson, K. (2025). Gastronomy and Beyond: A collaborative Initiative for Rethinking Food’s Role in Society, Sustainability, and Territory. International Journal of Gastronomy and Food Science, 101118.

Berke, A., Larson, K., Pentland, S. and Calacci, D., 2025. Measuring risks inherent to our digital economies using Amazon purchase histories from US consumers. arXiv preprint arXiv:2502.18774.

A. Berke, D. Calacci, A. Pentland, and K. Larson. Evaluating Amazon Effects and the Limited Impact of COVID-19 With Purchases Crowdsourced from US Consumers. 2025. https://arxiv.org/abs/2501.10596

City Science: Process. Internet Archive, uploaded by Internet Archive, archive.org/details/city‑science‑process. Accessed 15 July 2025.

Coretti Sanchez, N. and Larson, K., 2024. Multifunctional lightweight autonomous vehicles: an agent-based study. Transportation, pp.1-35.

Sanchez, N.C. and Larson, K., 2024. Shared autonomous micro-mobility for walkable cities. Transportation Research Interdisciplinary Perspectives, 27, p.101236.

Alex Berke, Robert Mahari, Sandy Pentland, Kent Larson, and Dana Calacci. 2024. Insights from an experiment crowdsourcing data from thousands of US Amazon users: The importance of transparency, money, and data use. Proc. ACM Hum.-Comput. Interact. 8, CSCW2, Article 466 (November 2024), 48 pages. https://doi.org/10.1145/3687005

Alex Berke, Kent Larson, Chapter 3 - Mobile phones and their use to study dynamics of the COVID-19 pandemic, Editor(s): Rajkumar Rajendram, Victor R. Preedy, Vinood B. Patel, Features, Transmission, Detection, and Case Studies in COVID-19, Academic Press, 2024, Pages 25-37, ISBN 9780323956468, https://doi.org/10.1016/B978-0-323-95646-8.00049-4

Berke, A., Calacci, D., Mahari, R. Yabe, T., Larson, K., & Pentland, S. Open e-commerce 1.0, five years of crowdsourced U.S. Amazon purchase histories with user demographics. Sci Data 11, 491 (2024). https://doi.org/10.1038/s41597-024-03329-6

Coretti-Sanchez, N., et al. "Urban Mobility Swarms: Towards a Decentralized Autonomous Bicycle-Sharing System." 2023 IEEE 26th International Conference on Intelligent Transportation Systems (ITSC). IEEE, 2023.

Parfait Atchade-Adelomou, et al. Fourier Series Weight in Quantum Machine Learning. Advances in Artificial Intelligence and Machine Learning. 2024;4(1):108.

Luo, Yan, et al. "TransFlower: An Explainable Transformer-Based Model with Flow-to-Flow Attention for Commuting Flow Prediction." arXiv preprint arXiv:2402.15398 (2024).

Herzog, R. H., Gonçalves, J. E., Slingerland, G., Kleinhans, R., Prang, H., Brazier, F., & Verma, T. (2024). Cities for citizens! Public value spheres for understanding conflicts in urban planning. Urban Studies, 61(7), 1327-1344. https://doi.org/10.1177/00420980231207475

Berke, A., Truitt, W., Larson, K. (2023). Is access to public bike-share networks equitable? A multiyear spatial analysis across 5 U.S. Cities. Journal of Transport Geography, Volume 114, 2024, 103759, ISSN 0966-6923. https://doi.org/10.1016/j.jtrangeo.2023.103759.

Rico, A., Larson, K. & Gamboa, M. Sensor platform for assessment of water usage patterns in informal settlements. Sci Rep 13, 18958 (2023). https://doi.org/10.1038/s41598-023-46236-3

Alex Berke, Tobin South, Robert Mahari, Kent Larson, and Alex Pentland. 2024. Poster: zkTax: A Pragmatic Way to Support Zero-Knowledge Tax Disclosures. In Proceedings of Conference on Computer and Communications Security (CCS’24). ACM, New York, NY, USA, 4 pages. https://doi.org/10.1145/3658644.3691421

Alex Berke, Geoffrey Ding, Christopher Chin, Karthik Gopalakrishnan, Kent Larson, Hamsa Balakrishnan, Max Z. Li, Drone delivery and the value of customer privacy: A discrete choice experiment with U.S. consumers, Transportation Research Part C: Emerging Technologies, Volume 157, 2023, 104391, ISSN 0968-090X, https://doi.org/10.1016/j.trc.2023.104391.

Rico, Andres, and Kent Larson. Technology Roadmap: The Internet of Forests. Self-published, 1 Oct. 2023.

Yan Luo, Haoyi Duan, Ye Liu, and Fu-lai Chung. 2023. Timestamps as Prompts for Geography-Aware Location Recommendation. In Proceedings of the 32nd ACM International Conference on Information and Knowledge Management (CIKM ’23), October 21–25, 2023, Birmingham, United Kingdom. ACM, New York, NY, USA, 10 pages. https://doi.org/10.1145/3583780.3615083

Luo, Y., Liu, Y., Chung, F. L., Liu, Y., & Chen, C. W. (2023). End-to-End Personalized Next Location Recommendation via Contrastive User Preference Modeling. arXiv preprint arXiv:2303.12507.

Berke, A., & Larson, K. (2023). The negative impact of vegetarian and vegan labels: Results from randomized controlled experiments with US consumers. Appetite. https://doi.org/10.1016/j.appet.2023.106767

E. C. Ferrer, I. Berman, A. Kapitonov, V. Manaenko, M. Chernyaev and P. Tarasov, "Gaka-Chu: A Self-Employed Autonomous Robot Artist," 2023 IEEE International Conference on Robotics and Automation (ICRA), London, United Kingdom, 2023, pp. 11583-11589, doi: 10.1109/ICRA48891.2023.10160866.

Perry, Eyal, et al. "How to grow (almost) anything: a hybrid distance learning model for global laboratory-based synthetic biology education." Nature Biotechnology (2022): 1-6.

Naroa Coretti Sanchez, Luis Alonso Pastor, Kent Larson, Can autonomy make bicycle-sharing systems more sustainable? An environmental impact analysis, Transportation Research Part D: Transport and Environment, Volume 113, 2022, 103489, ISSN 1361-9209, https://doi.org/10.1016/j.trd.2022.103489

A. Rico, S. Prasad and K. Larson, "A low-cost, open-source, and distributed ocean profiling sensor node," 2022 IEEE Sensors Applications Symposium (SAS), 2022, pp. 1-6, doi: 10.1109/SAS54819.2022.9881243.

Wang, Xinran and Iruretagoyena, Maitane and Pastor, Luis Alonso and Larson, Kent, Taxonomy of Informality: Methodology for Establishing Multi-Dimension Global Informal Indicators to Be Used on the Informality Crowd-Sourced Database. Available at SSRN: https://ssrn.com/abstract=4149958 or http://dx.doi.org/10.2139/ssrn.4149958

Sanchez, Naroa Coretti, et al. "On the performance of shared autonomous bicycles: A simulation study." Communications in Transportation Research 2 (2022): 100066

Naroa Coretti Sanchez, Iñigo Martinez, Luis Alonso Pastor, Kent Larson, "On the simulation of shared autonomous micro-mobility", Communications in Transportation Research, Volume 2 (2022): 100065, ISSN 2772-4247, https://doi.org/10.1016/j.commtr.2022.100065

Rico Medina, Andres. “Socio-Environmental Sensor Networks for Community Sensing.” Massachusetts Institute of Technology, MIT, 2022.

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

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

Rico, Andres, Carson Smuts, and Kent Larson. "Chameleon: Adaptive Sensor Intelligence for Smart Buildings." IEEE Internet of Things Journal (2022).

Ding, G., Berke, A., Gopalakrishnan, K., Degue, K., Balakrishnan, H., & Li, M. (2022). Routing with Privacy for Drone Package Delivery Systems. International Conference on Research in Air Transportation (ICRAT) 2022.

Alex Berke and Dan Calacci. 2022. Privacy Limitations of Interest-based Advertising on The Web: A Post-mortem Empirical Analysis of Google’s FLoC. In Proceedings of the 2022 ACM SIGSAC Conference on Computer and Communications Security (CCS ’22), November 7–11, 2022, Los Angeles, CA, USA. ACM, New York, NY, USA, 13 pages. https://doi.org/10.1145/3548606.3560626

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

E. C. Ferrer, E. Jiménez, J. L. Lopez-Presa and J. Martín-Rueda, "Following Leaders in Byzantine Multirobot Systems by Using Blockchain Technology," in IEEE Transactions on Robotics, doi: 10.1109/TRO.2021.3104243.

González, J. M., Sánchez, N. C., Llop, P. G. M., Pastor, L. A., & Larson, K. (2021, October). Dynamic V2V power-sharing for collaborative fleets of autonomous vehicles. In 2021 IEEE Electrical Power and Energy Conference (EPEC) (pp. 408-413). IEEE

Advincula, Larson 2021. With(in): Three women, three informal settlements, and the rituals of the meal as a microcosm of urban life.

MLA Babio, Guadalupe. Nuclear, A Climate Opportunity: Investigating decentralized energy networks for new urban environments. Diss. Massachusetts Institute of Technology, 2021.

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.

Rico, Andres, et al. "Embedded Piezoelectric Array for Measuring Relative Distributed Forces on Snow Skis." Intelligent Computing. Springer, Cham, 2021. 641-648.

Yurrita, M., Grignard, A., Alonso, L., Zhang, Y., Jara-Figueroa, C., Elkatsha, M., Larson, K., (2021) Dynamic Urban Planning: An Agent-Based Model Coupling Mobility Mode and Housing Choice. Use Case Kendall Square. In: Arai K. (eds) Intelligent Computing. Lecture Notes in Networks and Systems, vol 284. Springer, Cham. https://doi.org/10.1007/978-3-030-80126-7_66

Sánchez, N. C., Martinez, I., Pastor, L. A., & Larson, K. (2021). Simulation study on the fleet performance of shared autonomous bicycles. arXiv preprint arXiv:2106.09694

Acevedo, P. et al., Informando lo informal: estrategias para generar información en asentamientos precarios, IADB: Inter-American Development Bank. United States of America. Retrieved from https://coilink.org/20.500.12592/4nkcw6 on 26 Jun 2025. COI: 20.500.12592/4nkcw6.

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.

Orii, L., Alonso, L. and Larson, K., 2020. Methodology for Establishing Well-Being Urban Indicators at the District Level to be Used on the CityScope Platform. Sustainability, 12(22), p.9458.

Rico, A., Sakai, Y., & Larson, K. (2020, November). JettSen: A Mobile Sensor Fusion Platform for City Knowledge Abstraction. In Proceedings of the Future Technologies Conference (pp. 773-791). Springer, Cham.

Palomo, G., Siller, M., Grignard, A., Alonso, L. (2021). An Agent-Based Model of Social Fabric Seen as an Emergent Behavior. In: Yang, Z., von Briesen, E. (eds) Proceedings of the 2019 International Conference of The Computational Social Science Society of the Americas. CSSSA 2020. Springer Proceedings in Complexity. Springer, Cham. https://doi.org/10.1007/978-3-030-77517-9_10

Sanchez, Naroa Coretti, Luis Alonso Pastor, and Kent Larson. "Autonomous Bicycles: A New Approach To Bicycle-Sharing Systems." 2020 IEEE 23rd International Conference on Intelligent Transportation Systems (ITSC). IEEE, 2020.

Doorley, R., Alonso, L., Grignard, A., Maciá, N. and Larson, K., 2020, September. Travel Demand and Traffic Prediction with Cell Phone Data: Calibration by Mathematical Program with Equilibrium Constraints. In 2020 IEEE 23rd International Conference on Intelligent Transportation Systems (ITSC) (pp. 1-8). IEEE.

Humanitarian Mapping. ACM SIGKDD Conference on Knowledge Discovery and Data Mining August 23-27, 2020

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

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

Alex Berke and Kent Larson, City Science group, MIT Media Lab (2020). https://hdl.handle.net/1721.1/157499

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

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.

Doorley, R., Noyman, A., Xiong, Z., Alonso, L., Grignard, A., & Larson, K. (2019, May 1). RevUrb: Understanding Urban Activity and Human Dynamics through Point Process Modelling of Telecoms Data. 2019 Smart Cities Symposium Prague, SCSP 2019 Proceedings. https://doi.org/10.1109/SCSP.2019.8805683

Noyman, A., Doorley, R., Xiong, Z., Alonso, L., Grignard, A., & Larson, K. (2019). Reversed urbanism: Inferring urban performance through behavioral patterns in temporal telecom data. Environment and Planning B: Urban Analytics and City Science, 46(8), 1480–1498. https://doi.org/10.1177/2399808319840668