an overhead view of a crowd walking across a crosswalk

Mobility patterns influence how we experience income segregation in our cities
SSRC | August 12, 2021

Most of our understanding of income segregation comes from where people live, not where people go, preventing us from identifying how people experience income segregation in their daily lives.

graphic art of a drone mapping various pathways

System trains drones to fly around obstacles at high speeds
MIT News | August 10, 2021

New algorithm from researchers including IDSS core faculty Sertac Karaman could enable fast, nimble drones for time-critical operations such as search and rescue.

Distribution of predicted improvement rates (in percent per year) for all 1,757 technology domains. Domains to the right of dashed red line are improving faster than 36.5 percent per year, the predicted rate for integrated chips according to Moore's law. Credits:Image courtesy of the researchers.

A comprehensive study of technological change
MIT News | August 2, 2021

New research using patent data could help inform decision-makers by predicting which technologies are improving the fastest.

Suvrit Sra and Stefanie Jegelka

LIDS faculty participate in newly funded NSF program on optimization-focused AI research
LIDS | July 30, 2021

A research team including Suvrit Sra and Stefanie Jegelka is poised to make advances with real-world impact in chip design, robotics and communication networks.

A data visualization from an MIT GOV/LAB and Civic Data Design Lab presentation to Sierra Leone’s government shows how frequently different routes were traveled in and around the capital. Dot sizes reflect the popularity of destinations and lines are colored light blue to pink to show the popularity of each route. Image courtesy of the MIT GOV/LAB and CDDL

Study finds lockdowns effective at reducing travel in Sierra Leone
MIT News | July 27, 2021

MIT researchers including IDSS affiliate Sarah Williams use cell tower data to show that movement during Covid-19-related lockdowns declined the most in wealthier areas with more people.

AI stock image

The AI we should fear is already here
Washington Post | July 21, 2021

We should be worried less about what AI might become and more about what it is now, argues IDSS affiliate and Institute Professor Daron Acemoglu.

Munther Dahleh

Data science in domains
Harvard Data Science Review | July 20, 2021

From predicting financial risk to building smart cities, IDSS director Munther Dahleh contends that data science is most effective when it is integrated with domain knowledge, especially an understanding of how relevant physical, social, and institutional systems interact.

New research from the MIT Connection Science Group finds lockdowns in 10 metropolitan areas throughout the United States led to a marked reduction in walking. These decreases were mostly seen among residents living in lower-income areas of a city, effectively reducing access to physical activity for minorities and people suffering from illnesses such as obesity and diabetes.

Lockdowns reveal inequities in opportunities for walking activities
MIT News | July 19, 2021

Research from the MIT Connection Science Group finds Covid-19-related lockdowns led to a marked reduction in walking in lower-income areas of major metropolises.

person using laptop to video chat with a man in a white coat

Physicians are effective messengers of Covid-19 information
MIT News | July 15, 2021

New research from Poverty Action Lab director and IDSS affiliate Esther Duflo suggests that physician information campaigns can change minds and behaviors, regardless of political affiliation.

Tamara Broderick

Tamara Broderick gives Susie Bayarri lecture at 2021 World Meeting of the ISBA
IDSS News | July 13, 2021

The Susie Bayarri Lecture is delivered every two years at the ISBA world meeting by an outstanding young researcher under 35 years of age. 


© MIT Institute for Data, Systems, and Society | 77 Massachusetts Avenue | Cambridge, MA 02139-4307 | 617-253-1764 |