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Looking beyond smart cities
A lightweight research platform to develop autonomous technology Designed to transform bicycle-sharing systems into an on-demand mob...
As bikes navigate city streets after dark, they are often equipped with lights. The lights make the bikes visible to cars or other bikers...
Congratulations to City Science researchers Alex Berke, Jason Nawyn, Thomas Sanchez Lengeling, and group head Kent Larson!
How radical new collaborations will catalyze a revolution in health.
Reimagining human cooperation in the age of social media and artificial intelligence
The Moral Machine is a platform for gathering a human perspective on moral decisions made by machine intelligence, such as self-driving c...
Space Exploration Initiative
Exploring how social networks can influence our lives in business, health, governance, and technology adoption and diffusion
City Science researchers are developing a slew of tangible and digital platforms dedicated to solving spatial design and urban planning c...
Virtual CityScope Champs-Élysées is an interactive and immersive platform that explores the future of Paris’ most important street.
Urban populations around the world are rapidly growing. To improve livability, urban residents must reduce dependency on fossil fuels and...
CityScope Volpe is demonstrating most of the urban planning, analysis, and prediction features developed for the CityScope project. The s...
Ariel Ekblaw and Charles Bolden consider the future of human spaceflight.
Changing storytelling, communication, and everyday life through sensing, understanding, and new interface technologies
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.
Andorra and the City Science research group at the MIT Media Lab are taking on the challenge of turning Andorra into an “Internationally ...
CE 2.0
MoCho (short for "Mobility Choices") is a CityScope module focused on mobility choices and societal impacts. This tool helps pr...
Aalto University, Finland, and the MIT Media Lab’s City Science group are co-developing a version of the MIT CityScope platform for urban...
Location prediction is a critical building block in many location-based services and transportation management. This project explores the...
NTUT, MIT sign ‘smart’ development agreement
An NYC exhibit imagines driverless buses and mobile medical units resembling Popemobiles.
Creating sociotechnical systems that shape our urban environments
View the main City Science Andorra project profile.
Growth in leisure travel has become increasingly significant economically, socially, and environmentally. However, flexible but uncoordin...
An Alternative Autonomous Revolution System design for emerging urban contexts and societal aspirationsThe Persuasive Electric Vehic...
Rapid urbanization causes a need for new mobility modes which may not be totally dependent on cars.
To explore future mobility modes, the City Science group is working with Media Lab member company Panasonic to explore the use and potent...
SCHOOL, ENERGY AWARENESSUsing TerMITes in the Santa Coloma School in Andorra we want to help students understand the relation between the...
Noyman, Ariel, Agnis Stibe, and Kent Larson. "Roadmap for Autonomous Cities: Sustainable Transformation of Urban Spaces." (2017).
The Persuasive Electric Vehicle (PEV) is an agile, on-demand, shared, and functionally hybrid tricycle.
The CityCar electric automobile, developed and prototyped by Smart Cities, is designed to meet the demand for enclosed personal mobility ...
The Andorra Living Lab project combines different research topics (Tourism, Innovation, Energy & Environment, Mobility, Dynamic urban...
Y. Leng, A. Noriega, A.S. Pentland, I. Winder, N. Lutz, L. Alonso: "Analysis of Tourism Dynamics and Special Events through Mobile Phone Metadata". 2016. Proceedings of Data for Good Exchange (D4GX) 2016. New York, NY.
Y. Leng, L. Rudolph, A.S. Pentland, J. Zhao, H.N. Koutsopolous: "Managing travel demand: Location recommendation for system eciency based on mobile phone data". 2016. Proceedings of Data for Good Exchange (D4GX) 2016. New York, NY.
Alhasoun, Fahad, et al. "The City Browser: Utilizing Massive Call Data to Infer City Mobility Dynamics." 3rd International Workshop on Urban Computing (UrbComp 2014). UrbComp: New York, NY. 2014.