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Open Agriculture Initiative (OpenAg)
Enabling dynamic, evolving places that respond to the complexities of life
Exploring how social networks can influence our lives in business, health, governance, and technology adoption and diffusion
Creating technology for social change
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 ...
Transforming data into knowledge
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...
Changing Places researchers are developing a slew of tangible and digital platforms dedicated to solving spatial design and urban plannin...
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 ...