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About
LIDS
Learn about the Laboratory of Decision Systems, our history, our facilities, and mission.
About LIDS
At the forefront of advancements in computing technology applied to numerous domains, such as aerospace, business processes, telecommunications, information technology, the automotive, energy, defense, and human health.
Our Mission
An interdepartmental research center committed to research and education advancing computing with information and decision sciences, towards inventing new computing methodologies that will power future systems with significant social or physical dynamics.
Our History
Founded in 1940 under its original name, "Servomechanism Lab," LIDS is the longest continuously-running lab at MIT. Explore our timeline.
LIDS Companies
Explore a selection of companies, both large and small, that have been founded or co-founded by LIDS alumni, faculty, and/or researchers.
LIDS All Magazine
LIDS/All is the lab's annual publication, which celebrates the highlights of the year. Learn more and read the latest issue.
Visit us
LIDS is located in the Stata Center (MIT Building 32) and in the Schwarzman College of Computing (MIT Building 45).
News
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People
Research
Our
Research
Learn more about research in LIDS.
Research Overview
LIDS research ranges from development of basic theory, methodologies, algorithms, and computational infrastructures to adaptations of this work for challenging applications in a broad array of fields.
Focus areas
LIDS research is typically cross-cutting, usually involving a combination of problems and tools within four main focus areas.
Impact areas
In addition to building on the knowledge base in our main focus areas, LIDS plays a key role in identifying novel directions and advancing the state of the art in several impact areas.
Research Initiatives
Most PI-led Research initiatives in LIDS cut across disciplinary boundaries and involve collaboration with colleagues across MIT.
Research fields
LIDS PIs engage in research across a broad range of fields, from Reinforcement Learning, Sequential Decision Making, and Learning for Control, to Autonomy and Control Theory, and Statistics and Statistical Inference.
Resources
Our
Resources
Discover resources designed to support your research and daily activities within the LIDS community
Visitors Guide
Detailed Resources and Comprehensive Information for Visitors and New Members at LIDS
Book a Conference Room
Conference rooms are available for the use of LIDS members in building 32 and 45
Printing & coping
Copier/printer/scanner machines are available for professional use by LIDS members
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May 19, 2025
The sweet taste of a new idea
Autonomy
Sendhil Mullainathan brings a lifetime of unique perspectives to research in behavioral economics and machine learning.
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June 10, 2025
Inroads to personalized AI trip planning
Autonomy; Autonomy and Agency
Learning; Machine Learning Foundations
June 10, 2025
Melding data, systems, and society
Society; Computing and Society
Statistics and statistical inference
June 9, 2025
AI-enabled control system helps autonomous drones stay on target in uncertain environments
Autonomous vehicles
Autonomy; Autonomy and Agency
May 28, 2025
An anomaly detection framework anyone can use
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May 28, 2025
Navid Azizan wins Perkins Award for Excellence in Graduate Advising
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May 27, 2025
Devavrat Shah receives 2025 ACM SIGMETRICS Achievement Award
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May 21, 2025
Learning how to predict rare kinds of failures
Autonomy; Autonomy and Agency
Communication and networks
May 15, 2025
With AI, researchers predict the location of virtually any protein within a human cell
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May 14, 2025
Study shows vision-language models can’t handle queries with negation words
Healthcare
Society; Computing and Society
May 5, 2025
New tool evaluates progress in reinforcement learning
Autonomous vehicles
Autonomy; Autonomy and Agency
Communication and networks
April 24, 2025
Designing a new way to optimize complex coordinated systems
Autonomy; Autonomy and Agency
Communication and networks
April 17, 2025
LIDS researchers receive best paper award at QCNC 2025
Communication and networks
April 16, 2025
A faster way to solve complex planning problems
Autonomy; Autonomy and Agency
April 2, 2025
Researchers teach LLMs to solve complex planning challenges
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March 27, 2025
Youssef Marzouk named SIAM Fellow
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February 27, 2025
Sometimes, when competitors collaborate, everybody wins
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February 19, 2025
Reducing carbon emissions from residential heating: A pathway forward
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February 7, 2025
Validation technique could help scientists make more accurate forecasts
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January 28, 2025
Expanding robot perception
Autonomy; Autonomy and Agency
January 23, 2025
Kuikui Liu is awarded the 2025 Michael and Sheila Held Prize
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January 16, 2025
Tamara Broderick receives the Presidential Early Career Award for Scientists and Engineers
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January 16, 2025
Algorithms and AI for a better world
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January 7, 2025
How hard is it to prevent recurring blackouts in Puerto Rico?
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December 19, 2024
MIT welcomes Frida Polli as its next visiting innovation scholar
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December 11, 2024
Researchers reduce bias in AI models while preserving or improving accuracy
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December 10, 2024
Two from LIDS awarded AI2050 Early Career Fellowships
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December 10, 2024
Enabling AI to explain its predictions in plain language
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December 6, 2024
So you want to build a solar or wind farm? Here’s how to decide where.
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November 25, 2024
Improving health, one machine learning system at a time
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November 22, 2024
Gioele Zardini receives 2024 ETH Doctoral Dissertation Award
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November 22, 2024
MIT researchers develop an efficient way to train more reliable AI agents
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November 7, 2024
A causal theory for studying the cause-and-effect relationships of genes
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November 5, 2024
Despite its impressive output, generative AI doesn’t have a coherent understanding of the world
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September 30, 2024
Helping robots zero in on the objects that matter
Autonomy; Autonomy and Agency
September 24, 2024
3 Questions: Should we label AI systems like we do prescription drugs?
Society; Computing and Society
September 19, 2024
AI could lead to inconsistent outcomes in home surveillance
Society; Computing and Society
August 14, 2024
MIT researchers use large language models to flag problems in complex systems
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July 24, 2024
When allocating scarce resources with AI, randomization can improve fairness
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July 23, 2024
Large language models don’t behave like people, even though we may expect them to
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July 22, 2024
AI model identifies certain breast tumor stages likely to progress to invasive cancer
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July 16, 2024
How to assess a general-purpose AI model’s reliability before it’s deployed
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July 12, 2024
Machine learning and the microscope
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July 11, 2024
When to trust an AI model
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June 28, 2024
Study reveals why AI models that analyze medical images can be biased
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June 6, 2024
A data-driven approach to making better choices
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May 16, 2024
Elaine Liu: Charging ahead
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April 11, 2024
A crossroads for computing at MIT
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March 5, 2024
Using generative AI to improve software testing
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March 1, 2024
Dealing with the limitations of our noisy world
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February 27, 2024
New AI model could streamline operations in a robotic warehouse
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