art
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health
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consumer electronics
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kids
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wearable computing
bioengineering
storytelling
developing countries
data
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sensors
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social science
transportation
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environment
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banking and finance
social robotics
civic technology
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civic media
blockchain
virtual reality
augmented reality
communications
urban planning
crowdsourcing
performance
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3d printing
construction
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government
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makers
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Designing for, with, and by nature
Enabling dynamic, evolving places that respond to the complexities of life
Andorra and the City Science research group at the MIT Media Lab are taking on the challenge of turning Andorra into an “Internationally ...
The Persuasive Electric Vehicle (PEV) is an agile, on-demand, shared, and functionally hybrid tricycle.
View the main City Science Andorra project profile.
SCHOOL, ENERGY AWARENESSUsing TerMITes in the Santa Coloma School in Andorra we want to sensibilize students about the relation of the en...
Reimagining the way society organizes, cooperates, and governs itself
City Science Network
The CityCar electric automobile, developed and prototyped by Smart Cities, is designed to meet the demand for enclosed personal mobility ...
Aalto University and the MIT Media Lab’s City Science Initiative at the Massachusetts Institute of Technology co - develop a version of t...
Exploring how social networks can influence our lives in business, health, governance, and technology adoption and diffusion
Creating sociotechnical systems that shape our urban environments
The Andorra Living Lab project combines different research topics (Tourism, Innovation, Energy & Environment, Mobility, Dynamic urban...
Growth in leisure travel has become increasingly signi cant economically, socially, and environmentally. However, flexible but uncoordina...
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.
CE 2.0
How radical new collaborations will catalyze a revolution in health.
Location prediction is a critical building block in many location-based services and transportation management. This project explores the...