To bring more human-like reasoning to autonomous vehicle navigation, MIT researchers have created a system that enables driverless cars to check a simple map and use visual data to follow routes in new, complex environments. Image: Chelsea Turner

Bringing human-like reasoning to driverless car navigation
MIT News Office | May 29, 2019

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.

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MIT Policy Hackathon connects data-driven problem solvers
MIT News Office | May 21, 2019

Interdisciplinary teams propose creative policy solutions that address societal challenges at a unique event run by students from TPP and IDSS.

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Alberto Abadie presents at SDSCon 2019 on how data science is driving changes in social science research and policy making. Abadie is a professor of economics at MIT and associate director of the Institute for Data, Systems, and Society. Image: Dana J. Quigley photography

Building a community for statistics and data science at MIT and beyond
MIT News Office | May 10, 2019

Our third annual MIT Statistics and Data Science Conference (SDSCon) brought together a growing interdisciplinary community of researchers and practitioners.

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Chaiwoo Lee

IDSS alum explores the opportunities and challenges of aging with tech
MIT Industrial Liaison Program | April 30, 2019

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.

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Studying the behavior of AI
Media Lab | April 30, 2019

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.

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Ali Jadbabaie image by Ian MacLellan

Team led by Ali Jadbabaie receives ARO MURI award
April 30, 2019

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.

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Kenya Water Resources Management Authority workers build a water quality monitoring station on the Mwache River. Photo courtesy of the Mwache Dam Project

Designing water infrastructure for climate uncertainty
MIT News Office | April 30, 2019

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.

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Robots operated by Alibaba's logistics unit Cainiao, move parcels at a new automated guided vehicles (AGV) warehouse inside the hub of delivery company YTO Express, in Hangzhou, Zhejiang province, China September 14, 2018. Picture taken September 14, 2018. REUTERS/Stringer

The revolution need not be automated
World Economic Forum | April 12, 2019

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.

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MIT associate professor of electrical engineering and computer science Stefanie Jegelka, an IDSS affiliate, gives a talk at the 2019 Women in Data Science (WiDS) Cambridge conference entitled, "What Can Neural Networks Represent?" Photo: Dana J. Quigley

Women in Data Science conference unites global community of researchers and practitioners
MIT News Office | March 21, 2019

IDSS co-hosted WiDS Cambridge, a daylong conference connecting women data scientists across academia and industry.
Watch videos from WiDs Conference

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Sarah Williams is the Homer A Burnell Career Development Chair and professor of technology and planning at MIT. She is also director of the Civic Data Design Lab. Photo: Laura Kerwin/Center for International Studies.

Sarah Williams on mapping urban transport
MIT News Office | March 20, 2019

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.

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