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Transforming data into knowledge
Looking beyond smart cities
Andorra and the City Science research group at the MIT Media Lab are taking on the challenge of turning Andorra into an “Internationally ...
City Science researchers are developing a slew of tangible and digital platforms dedicated to solving spatial design and urban planning c...
SCHOOL, ENERGY AWARENESSUsing TerMITes in the Santa Coloma School in Andorra we want to help students understand the relation between the...
View the main City Science Andorra project profile.
Open Agriculture Initiative (OpenAg)
Mapping the urban perception
The Synthetic Apiary proposes a new kind of environment, bridging urban and organismic scales by exploring one of the most important orga...
Aalto University, Finland, and the MIT Media Lab’s City Science Initiative are co-developing a version of the MIT CityScope platform for ...
Noyman et al, Roadmap for Autonomous Cities: Sustainable Transformation of Urban Spaces, SIGGREEN 17
In reaction to the sudden arrival of tens of thousands of refugees in the city of Hamburg (DE) in 2015, the Lord Mayor requested the City...
The robot takeover will start in the smaller cities.
What is a truly suitable system design for the emerging urban context and societal aspirations?The PEV is a low-cost, agile, shared-use a...
Exploring how social networks can influence our lives in business, health, governance, and technology adoption and diffusion
Creating technology for social change
The Persuasive Electric Vehicle (PEV) is an agile, on-demand, shared, and functionally hybrid tricycle.
Read more about this project hereMIT City Science is working with Hafencity University to develop CityScope for the neighborhood of Rothe...
The CityCar electric automobile, developed and prototyped by Smart Cities, is designed to meet the demand for enclosed personal mobility ...
Making the invisible visible–inside our bodies, around us, and beyond–for health, work, and connection
Facebook volunteers and work-at-home moms might be making city planning decisions, thanks to AI research conducted by MIT scientists. Res...
Using computer vision to examine Google Street View, the researchers analyzed how streets and blocks have changed in five American cities.
Tested with five American cities, Streetchange quantifies the physical improvement or deterioration of neighborhoods.
A recently published paper in the Proceedings of the National Academy of Sciences (PNAS) looks at factors that predict neighborhood change.
Researchers have used machine learning to quantify the physical improvement or deterioration of neighborhoods in five American cities.
Computer vision uncovers predictors of physical urban change
Creating sociotechnical systems that shape our urban environments
The Andorra Living Lab project combines different research topics (Tourism, Innovation, Energy & Environment, Mobility, Dynamic urban...
Ant-Based Modeling explores the possibility of implementing agent-based modeling with living ants and external stimuli such as ...
A collaboration to set up a "City Science Lab" to focus on the development of "smart" city infrastructure and autonomous vehicles.
Growth in leisure travel has become increasingly signi cant economically, socially, and environmentally. However, flexible but uncoordina...
You Are Here is an experiment in microurbanism. In this project, we are creating 100 maps each of 100 different cities. Each map gives a...
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.
The use of data-driven methods to examine dynamic spaces, relationships, and mechanisms within an urban environment frames the city as a ...