Looking beyond smart cities

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.

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.

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.

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

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

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

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

[1] Solomon et al., 2007. Summary for Policymakers. In: Climate Change 2007: The Physical Science Basis. Contribution of Working Group I to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA. [2] USEPA. (April 2012). Inventory of U.S Greenhouse gas emissions and sinks: 1990-2016, Figure 3-5.

Doorley, Ronan & Noyman, Ariel & Sakai, Yasushi & Larson, Kent. (2019). What's your MoCho? Real-time Mode Choice Prediction Using Discrete Choice Models and a HCI Platform. UrbComp SIGKDD 2019

Advincula, Gabriela Bila, Don Derek Haddad, and Kent Larson. "Grain Prism: Hieroglyphic Interface for Granular Sampling."

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

Marrocco, L., Ferrer, E. C., Bucchiarone, A., Grignard, A., Alonso, L., Larson, K., & Pentland, A. (2018, July). BASIC: Towards a Blockchained Agent-Based SImulator for Cities. In International Workshop on Massively Multiagent Systems (pp. 144-162). Springer, Cham.

Aubuchon, Alexander, Kevin Lyons, and Kent Larson. "Machine Learning for Real-time Urban Metrics and Design Recommendations."

Alonso, L., Zhang, Y. R., Grignard, A., Noyman, A., Sakai, Y., ElKatsha, M., ... & Larson, K. (2018, July). Cityscope: a data-driven interactive simulation tool for urban design. Use case volpe. In International Conference on Complex Systems (pp. 253-261). Springer, Cham.

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.

Alonso, L., Zhang, Y. R., Grignard, A., Noyman, A., Sakai, Y., Elkatsha, M., ... & Larson, K. (2019). Data-driven, evidence-based simulation of urban dynamics. use case volpe. Unifying Themes in Complex Systems, IX, 4.

Arnaud Grignard, Núria Macià, Luis Alonso Pastor, Ariel Noyman, Yan Zhang, and Kent Larson. 2018. CityScope Andorra: A Multi-level Interactive and Tangible Agent-based Visualization. In Proceedings of the 17th International Conference on Autonomous Agents and MultiAgent Systems (AAMAS '18). International Foundation for Autonomous Agents and Multiagent Systems, Richland, SC, 1939-1940.

Yan Zhang, Arnaud Grignard, Kevin Lyons, Alexander Aubuchon, and Kent Larson. 2018. Real-time Machine Learning Prediction of an Agent-Based Model for Urban Decision-making (Extended Abstract). In Proceedings of the 17th International Conference on Autonomous Agents and MultiAgent Systems (AAMAS '18). International Foundation for Autonomous Agents and Multiagent Systems, Richland, SC, 2171-2173.

Noyman, Sakai, Larson 2018. CityScopeAR: Urban Design and Crowdsourced Engagement Platform. CHI 2018, 4,2007

Jason Nawyn, Carson Smuts, and Kent Larson. 2017. A visualization tool for reconstructing behavior patterns in built spaces. In Proceedings of the 2017 ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp '17). ACM, New York, NY, USA, 269-272. DOI: https://doi.org/10.1145/3123024.3123181

Zhang, Yan. “CityMatrix – An Urban Decision Support System Augmented by Artificial Intelligence.” Massachusetts Institute of Technology, 2017.

Finding Places: HCI Platform for Public Participation in Refugees’ Accommodation Process. Ariel Noyman , Tobias Holtz, Johannes Kröger, Jörg Rainer Noennig, Kent Larson. a Massachusetts Institute of Technology, Media Lab, Changing Places Group, Cambridge MA, b HafenCity University Hamburg, CityScienceLab, c HafenCity University Hamburg, Lab for Geoinformatics & Geovisualization

Noyman, Ariel, Agnis Stibe, and Kent Larson. "Roadmap for Autonomous Cities: Sustainable Transformation of Urban Spaces." (2017).

Arnaud Grignard, Alexis Drogoul - Agent-Based Visualization: A Real-Time Visualization Tool Applied Both to Data and Simulation Outputs - The AAAI-17 Workshop on Human-Machine Collaborative Learning - 2017

Orondo, J., Alonso, L., & Bedoya, C. (2017). Herramienta de evaluación para la toma de decisiones sostenibles, durante el anteproyecto arquitectónico = Evaluation tool for sustainable decision-making during the architectural design. Anales de Edificación, 3(1), 51-61. https://dx.doi.org/10.20868/ade.2017.3535

Gonzalez-Andrades M., Alonso-Pastor L., Mauris J., Cruzat A., Dohlman C.H., Argüeso P. “Establishment of a novel in vitro model of stratified epithelial wound healing with barrier function” Scientific Reports 6, Article number: 19395 (2016 Jan 13)

Stibe, A., & Larson, K. (2016). Persuasive Cities for Sustainable Wellbeing: Quantified Communities. In International Conference on Mobile Web and Information Systems (pp. 271-282). Springer International Publishing.

Stibe, A., Chatterjee, S., Schechtner, K., Wunsch, M., Millonig, A., Seer, S., ... & Larson, K. (2016). Empowering Cities for Sustainable Wellbeing. Alexander Meschtscherjakov Boris De Ruyter Verena Fuchsberger Martin Murer, 76.