
Bringing human-like reasoning to driverless car navigation
Laboratory for Information and Decision Systems (LIDS) professor Sertac Karaman and colleagues have created a system that enables driverless cars to check a simple map and use visual data to follow routes in new, complex environments.
READ MORE
MIT Policy Hackathon connects data-driven problem solvers
Interdisciplinary teams propose creative policy solutions that address societal challenges at a unique event run by students from TPP and IDSS.
READ MORE
Building a community for statistics and data science at MIT and beyond
Our third annual MIT Statistics and Data Science Conference (SDSCon) brought together a growing interdisciplinary community of researchers and practitioners.
READ MORE
IDSS alum explores the opportunities and challenges of aging with tech
IDSS alum Chaiwoo Lee is a research scientist for the multidisciplinary MIT AgeLab, where she seeks ways to improve the quality of life of older people and those who care for them.
READ MORE
Studying the behavior of AI
IDSS affiliate Iyad Rahwan is part of a team of thinkers at MIT and beyond who are calling for a new interdisciplinary field of research, machine behavior, to study intelligent machines and the impact they are having on society.
READ MORE
Team led by Ali Jadbabaie receives ARO MURI award
The team, led by IDSS/LIDS professor and SSRC director Ali Jadbabie and including IDSS professor Elchanan Mossel, was awarded the grant for the project “Foundations of Decision Making with Behavioral and Computational Constraints,” which proposes a new interdisciplinary research program that works towards a unified theory on human decision-making.
READ MORE
Designing water infrastructure for climate uncertainty
A research team that includes TPP and IDSS alum Sarah Fletcher and TPP alum Megan Lickley has developed a flexible planning framework that evaluates approaches that add water storage capacity incrementally if the climate becomes warmer and drier.
READ MORE
The revolution need not be automated
AI could lead to higher inequality and decades of slow wage growth -- unless it's deployed in ways that create new jobs, argues MIT economist and IDSS core faculty Daron Acemoglu.
READ MORE
Women in Data Science conference unites global community of researchers and practitioners
IDSS co-hosted WiDS Cambridge, a daylong conference connecting women data scientists across academia and industry.
Watch videos from WiDs Conference

Sarah Williams on mapping urban transport
Sarah Williams, an IDSS affiliate and professor of technology and planning, is combining her skills as a geographer, architect, data scientist, and city planner to digitally map informal transportation networks in developing cities and create data for civic change.
READ MORE