News
IDSS hosts ‘Conference on Synthetic Control and Related Methods’
Researchers shared ideas on a statistical method gaining prominence in economics at a two-day event sponsored by the National Science Foundation and the National Bureau of Economic Research.
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Alexander “Sasha” Rakhlin receives 2019 Joseph A. Martore Award for Excellence in Teaching in IDSS
IDSS recognized Rakhlin for developing a new course and serving as head of the Interdisciplinary Doctoral Program in Statistics.
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Cracking open the black box of automated machine learning
New interactive tool ATMSeer, developed by Laboratory for Information and Decision Systems (LIDS) research scientist Kalyan Veeramachaneni and colleagues, lets users see and control how automated model searches work.
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Empowering African farmers with data
New research from IDSS, funded by OCP, a leading global company in the phosphate fertilizer industry, aims to help African farmers increase their production and profits with better prediction.
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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.
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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.
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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.
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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.
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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.
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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.
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