Artificial intelligence shines light on the dark web
New tools can find patterns in vast online data to track and identify users on illicit forums.
New tools can find patterns in vast online data to track and identify users on illicit forums.
Study of 188 practitioners distills key recommendations about using technology to advance social justice and the public interest.
Improved recommendation algorithm should work especially well when ratings data are “sparse.”
New book, “The Longevity Economy,” calls for rethinking our ideas about what the elderly can do.
Alumni aim to make outdoor sports safer through gathering data and building a real-time social network.
PhD student Dean Knox studies social networks and how individuals use them to access government goods and services.
MIT senior Charlie Andrews-Jubelt encourages students to look out for each other and lend support.
At IDSS celebration, speakers explore how data can be brought to bear on global challenges.
Analysis of ant colony behavior could yield better algorithms for network communication.
New book by Senseable City Lab researchers presents vision of data-driven urban design.
MIT professor talks about our need for face-to-face dialogue, in families, classrooms, and workplaces.
New research finds urban social networks are not determined geographically, but socially.
Sinan Aral studies peer effects and influence, with an eye toward tackling pressing social problems.
MIT social media strategist Stephanie Hatch Leishman highlights applications and resources that can streamline your workflow: Feedly, Flickr, Hootsuite, and IFTTT.