Empowering refugees worldwide by providing tools for social change
New collaboration joins together MITx MicroMasters, Abdul Latif Jameel Poverty Action Lab, and MIT Refugee Action Hub.
Building AI systems that make fair decisions
Harini Suresh, a PhD student at MIT CSAIL, studies how to make machine learning algorithms more understandable and less biased.
IDEAS Global Challenge rewards inventions with social impact
At annual event, 10 teams split $92,500 in prize money for designing innovations that improve lives worldwide.
Using data science to improve public policy
MIT Policy Hackathon, run by students within MIT’s Institute for Data, Systems, and Society, seeks interdisciplinary solutions to societal challenges.
Institute for Data, Systems, and Society to launch new MicroMasters and PhD programs
Interdisciplinary doctoral program in statistics and online MicroMasters program in statistics and data science begin this fall.
Pioneering digital collaborations
MIT hosts a summit on transformative artificial intelligence technologies in biomedical sciences and health care.
Computer searches telescope data for evidence of distant planets
Machine-learning system uses physics principles to augment data from NASA crowdsourcing project.
Measuring the economy with location data
Startup’s platform crunches anonymized smartphone GPS data to understand how people shop, work, and live.
A low-tech solution for high-impact health care
An interdisciplinary team of MIT students develops a solution to improve medical care for refugees as part of the Vatican’s first-ever hackathon.
Second annual Women in Data Science conference showcases research, explores challenges
Co-hosted by MIT's Institute for Data, Systems, and Society, WiDS Cambridge brings together students, academic leaders, and industry partners.
Conference advances use of data and evaluation in policymaking
Government leaders, social service providers, and leading scholars gathered for the second conference of J-PAL North America’s State and Local Innovation Initiative.
!["As the momentum builds, developers will be able to set up a ML [machine learning] apparatus just as they set up a database," says Max Kanter, CEO at Feature Labs. "It will be that simple."](/sites/default/files/styles/term_page__news_article/public/images/201803/Machine-Learning-Final-01.png?itok=cFwF0sOA)
ML 2.0: Machine learning for many
Automated data science tools developed by MIT and Feature Labs deliver their first AI product.
JDA Software collaborates with MIT to advance research in intelligent supply chains
Multiyear collaboration, led by Professor David Simchi-Levi, will focus on advancing research in machine learning, optimization, and consumer behavior modeling.
Talking points: MIT Sloan Sports Analytics Conference explores data and how to share it
MIT's unique forum underscores the importance of communication in sports analytics.
Political Methodology Lab to dig deep into new kinds of data
Founder Teppei Yamamoto designs new tools to comprehend political behavior transformed by digital technology.