Attribution 4.0 International
César Hidalgo, head of the Collective Learning research group, and former Responsive Environments researcher Katia Vega, have been chosen...
Streetchange uses computer vision and Google Street View to understand urban transformations over time.
Facebook volunteers and work-at-home moms might be making city planning decisions, thanks to AI research conducted by MIT scientists. Res...
Tested with five American cities, Streetchange quantifies the physical improvement or deterioration of neighborhoods.
Machine learning is helping urbanists confirm–or disprove–long-standing theories about cities.
Using computer vision to examine Google Street View, the researchers analyzed how streets and blocks have changed in five American cities.
A recently published paper in the Proceedings of the National Academy of Sciences (PNAS) looks at factors that predict neighborhood change.
A visiting scientist from NHK, Takahito Ito joined the Lab as a company member and left as a crew member.
In My Shoes is an eight episode indie video series created by professor Cesar Hidalgo. The series follows the personal and professional l...
Researchers have used machine learning to quantify the physical improvement or deterioration of neighborhoods in five American cities.
A new paradigm in economics recognizes the complexity in human behavior.
In 2016 hundreds of famous people died. David Bowie, Prince, Muhammad Ali, Fidel Castro, Carrie Fisher, Gene Wilder, George Michael, Vera...
Putting the power of public data in your hands.
" I wanted to become an inventor or scientist. I wanted to do a job in which I could be creative."
What makes us perceive a place as safe, or even beautiful? AI is confirming century-old suspicions.
For years, the federal government, states and some cities have enthusiastically made vast troves of data open to the public. Acres of pap...
As recently as a few weeks ago, “metadata” was an obscure term known mainly to techies and academics. Broadly defined, metadata is data a...