LocationMIT Media Lab, E14-240 DescriptionThe rapid progress of urbanization on earth leads to modern cities, which provide people with a c…
Integrating quantum computing into urban design presents a groundbreaking approach to city planning and modeling. By harnessing the unique …
Predicting Urban Performance through Behavioral Patterns in Temporal Telecom DataThis study explores a novel method to analyze diverse beha…
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
For this project, the teams will explore the concept of a 15-minute city using various urban simulations.
Noyman, Ariel, Agnis Stibe, and Kent Larson. "Roadmap for Autonomous Cities: Sustainable Transformation of Urban Spaces." (2017).
Ryan C.C. Chin, Will Lark, Patrik Künzler, R.D. Poblano, Phil Liang, Mitchell Joachim
LocationLondon, UK Description
Noyman, A., Doorley, R., Xiong, Z., Alonso, L., Grignard, A. and 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), pp.1480-1498.
Abhimanyu Dubey, Nikhil Naik, Devi Parikh, Ramesh Raskar, César A Hidalgo Springer International Publishing
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
Tracking points of unrest in informal settlements in real-time. The sensor is a small, handheld device with a button that people can press …
We are exploring the potential of low-cost, networked sensing and actuation technologies to improve urban agriculture, promote public healt…
Noyman, Sakai, Larson 2018. CityScopeAR: Urban Design and Crowdsourced Engagement Platform. CHI 2018, 4,2007
Research in dynamic tools, mix users (citizens, workers) amenities, services, and land use, with the goal of promoting sustainable developm…
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.
Hermosilla, Txomin, Jesús Palomar-Vázquez, Ángel Balaguer-Beser, José Balsa-Barreiro, and Luis A. Ruíz. 2014. Using street based metrics to characterize urban typologies. Computer, Environment and Urban Systems 44: 68-79.
UrbInt 2017The theme of this workshop is framed in what is called Urban Intelligence, where new ways of understanding the complex dynamics …
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.
LocationKing Abdullah Economic City (KAEC), Saudi Arabia Description
The City Science research group proposes that new strategies must be found to create the places where people live and work in addition to t…
The City Science group collaborated with the Ford company from 2019 to 2020 on modeling the transformation of Corktown, Detroit into a high…
Research Assistant
Research Scientist
Urban mobility is changing at an increasingly rapid pace. In this context, stakeholders such as governments and mobility operators ne…
City Science researchers Naroa Coretti, Iñigo Martinez, Luis Alonso, and Kent Larson discuss their research on autonomous shared bicycles.
Walking as the most natural form of urban mobility plays a crucial role in shaping the quality of daily life. However, safety concerns ofte…
Philip Salesses, Katja Schechtner, César A. Hidalgo.
Zhang, Yan. “CityMatrix – An Urban Decision Support System Augmented by Artificial Intelligence.” Massachusetts Institute of Technology, 2017.
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.
Research Assistant
Dubey, Abhimanyu, et al. "Deep learning the city: Quantifying urban perception at a global scale." European Conference on Computer Vision. Springer, Cham, 2016.
Lark, W. "City-Car: Optimizing vehicle and urban efficiencies through a shared adaptive platform"
A. L. Alfeo et al., "Urban Swarms: A new approach for autonomous waste management," 2019 International Conference on Robotics and Automation (ICRA), Montreal, QC, Canada, 2019, pp. 4233-4240.
The 2022 City Science Summit is a collaboration between MIT City Science, the City Science Network and the Norman Foster Foundation.
Research Scientist
Balsa-Barreiro, José and Rubén C. Lois-González. 2009. “Changes in the urban model of the city of Valencia (Spain): An analysis from the point of view of the published cartography.” Paper presented at the International Conference on Multilayered Cities and Urban Systems, Hyderabad (India), Jul 30-Aug 10.
This past year the City Science team welcomed esteemed researchers from throughout the City Science Network to present their current resear…
By Phil TinnTo Dock, or Not to Dock?The last few years saw a rapid adoption of app-based taxis, shared bikes, and increasingly, …
Broutin Farah, J. "SproutsIO Urban Microfarm - Interactive Indoor Farming System for Urban Use"
Former Research Affiliate
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.
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
Humanitarian Mapping. ACM SIGKDD Conference on Knowledge Discovery and Data Mining August 23-27, 2020
Modern cities have to respond to the growing demands of more efficient and sustainable urban development, as well as an increased quality o…
In the CityScope platform, we leverage humanized Agent-Based Models (h-ABMs) to elevate urban simulation to new heights of realism and comp…
Aubuchon, Alexander, Kevin Lyons, and Kent Larson. "Machine Learning for Real-time Urban Metrics and Design Recommendations."
Research Scientist
Former Research Scientist, Mobility
Scalable Urban Infrastructure for Human-Machine CohabitationNew infrastructure to help sustain public-sector participation and operation, a…
POWERSTRUCTURES : the urban form of regulations, Noyman, Ariel, Thesis: S.M., Massachusetts Institute of Technology, Department of Architecture, 2015.; Cataloged from PDF version of thesis.; Includes bibliographical references (pages 232-236).
Research Affiliate
COVID-19 pandemic served as a catalyst for reimagining urban spaces and emphasized the need for walkable, life-work balanced coummunities.&…
Advincula, Larson 2021. With(in): Three women, three informal settlements, and the rituals of the meal as a microcosm of urban life.
Urban mobility can often be categorized as a complex system—e.g., a nonlinear system composed of many components that interact with each …
There is a continuous and ubiquitous collection of precise, timestamped, geolocation data from apps and devices, being amassed by private f…
The use of data-driven methods to examine dynamic spaces, relationships, and mechanisms within an urban environment frames the city as a co…
Urban socioeconomic segregation is an important indicator that is crucial for social, economic, and health outcomes. Segregation is inheren…
We share the vision of cities as places where people live and work, connected by better mobility systems that are sustainable and enable a …
Professor of the Practice
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
This project investigates urban metagenomics to reveal the invisible microbiological worlds within our cities. Using honeybees to gather sa…
Analyze and visualize urban interaction with computer vision and deep neural net.
Nikhil Naik, Ramesh Raskar, César A Hidalgo The American Economic Review, Volume 106, Issue 5, Pages 128-132
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
Each year the City Science Network hosts a talks series where City Science Labs present and share their research to the Network and collabo…