Research

Impact Areas

Lead

Una-May O'Reilly

Research Group

Center for Brains, Minds and Machines

Our main goal is developing a computationally based understanding of human intelligence and establishing an engineering practice based on that understanding.

Tomaso Poggio

Leads

Tomaso Poggio

Research Areas

Impact Areas

Lead

Tomaso Poggio

Research Group

Computational Perception & Cognition

We combine methods from computer science, neuroscience and cognitive science to explain and model how perception and cognition are realized in human and machine.

Aude Oliva

Leads

Aude Oliva

Research Areas

Impact Areas

Lead

Aude Oliva

Research Group

Genesis Group

The Genesis Group focuses on developing an account of human intelligence with special
emphasis on developing computational models of how people tell, perceive and understand
stories.

Leads

Research Areas

Impact Areas

Research Group

Haystack Group

We are an interdisciplinary group of researchers blending approaches from human-computer interaction, social computing, databases, information management, and databases.

Lea Verou

David Karger

Leads

David Karger

Research Areas

Impact Areas

Lead

David Karger

Lea Verou

David Karger

Research Group

HCI Engineering Group

We work at the intersection of human computer interaction and personal fabrication tools.

Stefanie Mueller

Leads

Stefanie Mueller

Research Areas

Impact Areas

Lead

Stefanie Mueller

Research Group

Imagination, Computation, and Expression Laboratory (ICE Lab)

We develop computing systems for creative expression, cultural analysis, and social change.

Peter Mawhorter

James Bowie Wilson

D. Fox Harrell

Leads

D. Fox Harrell

Research Areas

Impact Areas

Lead

D. Fox Harrell

Peter Mawhorter

James Bowie Wilson

D. Fox Harrell

Research Group

Infolab

We investigate language in different contexts: from how it is learned, to how it is grounded in visual perception, all the way to how machines can readily interact with humans.

Boris Katz

Leads

Boris Katz

Research Areas

Impact Areas

Lead

Boris Katz

Research Group

Machine Learning

We work on a variety of topics spanning theoretical foundations, algorithms, and applications.

Leads

Tamara Broderick

Tommi Jaakkola

Stefanie Jegelka

Leslie Kaelbling

David Sontag

Research Areas

Impact Areas

Lead

Tamara Broderick

Tommi Jaakkola

Stefanie Jegelka

Leslie Kaelbling

David Sontag

Research Group

Multimodal Understanding Group

Our objective is to build techniques, software, and hardware that enable natural interaction with
computation.

Randall Davis

Leads

Randall Davis

Research Areas

Impact Areas

Lead

Randall Davis

Research Group

Programming Languages and Software Engineering

We research programming languages, software engineering, and related work in human-computer interaction.

Leads

Research Areas

Impact Areas

Research Group

Spoken Language Systems Group

Our goal is to create technology that makes it possible for everyone in the world to interact with with computers via natural spoken language.

+13

Jim Glass

Leads

Jim Glass

Research Areas

Impact Areas

Lead

Jim Glass

+13

Jim Glass

Research Group

Sussman Lab

We focus on understanding the problem-solving strategies used by scientists and engineers, with the goals of automating parts of the process and formalizing educational methods.

Gerald Sussman

Leads

Gerald Sussman

Research Areas

Impact Areas

Lead

Gerald Sussman

Research Group

Weiss Laboratory for Synthetic Biology

The Weiss Lab seeks to create integrated biological systems capable of autonomously performing useful tasks, and to elucidate the design principles underlying complex phenotypes.

Ron Weiss

Leads

Ron Weiss

Research Areas

Impact Areas

Lead

Ron Weiss

Research Group

Software Design Group

Our goal is to find better ways to make software, and ways to make software better.

Daniel Jackson

Leads

Daniel Jackson

Research Areas

Impact Areas

Lead

Daniel Jackson

Research Group

Usable Programming Group

We design and study systems that improve the learnability, efficiency, and safety of software development.

Rob Miller

Leads

Rob Miller

Research Areas

Impact Areas

Lead

Rob Miller

Research Group

MIT App Inventor

MIT App Inventor is an intuitive, visual programming environment that allows everyone – even children – to build fully functional apps for smartphones and tablets.

Hal Abelson

Leads

Hal Abelson

Research Areas

Impact Areas

Lead

Hal Abelson

Research Group

Lecturers

Lecturers in CSAIL

Leads

Research Areas

Impact Areas

Community of Research

Cognitive AI Community of Research

This CoR aims to develop AI technology that synthesizes symbolic reasoning, probabilistic reasoning for dealing with uncertainty in the world, and statistical methods for extracting and exploiting regularities in the world, into an integrated picture of intelligence that is informed by computational insights and by cognitive science.

Howard Shrobe

Leads

Howard Shrobe

Research Areas

Impact Areas

Lead

Howard Shrobe

Community of Research

Applied Machine Learning Community of Research

This CoR brings together researchers at CSAIL working across a broad swath of application domains. Within these lie novel and challenging machine learning problems serving science, social science and computer science.

Una-May O'Reilly

Leads

Una-May O'Reilly

Research Areas

Impact Areas

Lead

Una-May O'Reilly

Community of Research

Human-Computer Interaction Community of Research

The focus of the HCI CoR is inventing new systems and technology that lie at the interface between people and computation, and understanding their design, implementation, and societal impact.

Stefanie Mueller

Leads

Stefanie Mueller

Research Areas

Impact Areas

Lead

Stefanie Mueller

Research Group

Visualization Group

We use visualization as a petri dish to study intelligence augmentation, or how can computational representations and software systems help amplify our cognition and creativity, while respecting our agency?

Arvind Satyanarayan

Leads

Arvind Satyanarayan

Research Areas

Impact Areas

Computational Cognitive Science Group

Lead

Arvind Satyanarayan

23 Project Results matching all criteria

Project

A Counterfactual Simulation Model of Causal Judgment

We develop a computational model that explains how people make causal judgments in physical scenes by mentally simulating counterfactual outcomes and comparing those to what actually happened.

Leads

Research Areas

Impact Areas

Project

Where Are They Looking?

Vision Group

Our goal is to build a system that predicts where people are looking in images. Given an image and the location of a head, our approach follows the gaze of the person and identifies the object being looked at.

Leads

Research Areas

Impact Areas

Project

Wikum: Bridging Discussion Systems and Wikis with Collective Summarization

Haystack Group

Theory of Computation Community of Research

We build tools to allow a community of people to collectively summarize large discussions online and manage knowledge embedded within these discussions.

David Karger

Leads

David Karger

Research Areas

Impact Areas

David Karger

Project

Wait-learning: Intelligent Systems for Making Productive Use of Wait Time

Usable Programming Group

Wait-learning makes it easier for busy people to learn informally, by automatically detecting when they are waiting and delivering optional learning exercises that can be completed during wait time.

Rob Miller

Leads

Rob Miller

Research Areas

Impact Areas

Computational Fabrication Group

Rob Miller

Project

Crowdsourcing in Graphics and Vision

Our goal is to develop new applications and algorithms that leverage the skills of distributed crowdworkers, notably for image and video processing applications.

Alexandre Kaspar

Leads

Alexandre Kaspar

Research Areas

Impact Areas

Imagination, Computation, and Expression Laboratory (ICE Lab)

Alexandre Kaspar

Project

Culturally-Grounded Virtual Identities: A Case Study in a Qatari Context

Mixed-methods qualitative (interviews and coding) and computational (AI) approach to understanding relationships between social identities, cultural values, and virtual identity technologies (e.g., online profiles and avatars).

D. Fox Harrell

Leads

D. Fox Harrell

Research Areas

Impact Areas

Imagination, Computation, and Expression Laboratory (ICE Lab)

D. Fox Harrell

Project

AIRvatar System: A Framework for Analyzing Virtual Identities

AIRvatar is a system that telemetrically collects and analyzes fine-grained data on users’ virtual identities and the process used to create them.

D. Fox Harrell

Leads

D. Fox Harrell

Research Areas

Impact Areas

Imagination, Computation, and Expression Laboratory (ICE Lab)

D. Fox Harrell

Project

Changing Minds via Roleplay in Interactive Digital Media

We aim to study the impact of computer-supported roleplaying in changing social perspectives of digital media users. Such media could take the form of videogames, VR systems, training software, and other types of interactive narrative technology.

D. Fox Harrell

Leads

D. Fox Harrell

Research Areas

Impact Areas

Model-Based Embedded and Robotics Systems Group

D. Fox Harrell

Project

Robots Adapting to Human Intent

Our goal is to develop algorithms for allowing robots to adapt intelligently to humans when they are working together as a team.

Brian Williams

Leads

Brian Williams

Research Areas

Impact Areas

Brian Williams

Project

Bayesian Optimization for Global Optimization of Expensive Black-box Functions

We study the fundamentals of Bayesian optimization and develop efficient Bayesian optimization methods for global optimization of expensive black-box functions originated from a range of different applications.

Zi Wang

Leads

Zi Wang

Research Areas

Impact Areas

Zi Wang

Project

Active Learning of Models for Planning

We aim to develop a systematic framework for robots to build models of the world and to use these to make effective and safe choices of actions to take in complex scenarios.

Leads

Zi Wang

Leslie Kaelbling

Tomas Lozano-Perez

Research Areas

Impact Areas

Project

Who Knows What? Perspective-Enabled Story Understanding

Genesis Group

To understand human intelligence, we must be able to model how humans understand stories from multiple characters' perspectives.

Leads

Research Areas

Impact Areas

Project

Supervising Robots with Muscle and Brain Signals

What if we could control robots more intuitively, using just hand gestures and brainwaves?

Joseph DelPreto

Leads

Joseph DelPreto

Research Areas

Imagination, Computation, and Expression Laboratory (ICE Lab)

Impact Areas

Joseph DelPreto

Project

Toward Using Virtual Identities in Computer Science Learning for Broadening Participation

Our research seeks to discover best practices for using avatars to enhance performance, engagement, and STEM identity development for diverse public middle and high school computer science students. As sites of our research we run workshops in which students learn computer science in fun, relevant ways, and develop self-images as computer scientists.

Sneha Veeragoudar Harrell

Aziria Rodriguez

D. Fox Harrell

Leads

D. Fox Harrell

Research Areas

Impact Areas

Sneha Veeragoudar Harrell

Aziria Rodriguez

D. Fox Harrell

Project

Automatic Speech Recognition

Automatic speech recognition (ASR) has been a grand challenge machine learning problem for decades. Our ongoing research in this area examines the use of deep learning models for distant and noisy recording conditions, multilingual, and low-resource scenarios.

Leads

Hao Tang

Wei-Ning Hsu

David Harwath

Sameer Khurana

Di-Chia Chueh

Jim Glass

Research Areas

Impact Areas

Project

Unsupervised Speech Processing

All humans process vast quantities of unannotated speech and manage to learn phonetic inventories, word boundaries, etc., and can use these abilities to acquire new word. Why can't ASR technology have similar capabilities? Our goal in this research project is to build speech technology using unannotated speech corpora.

Leads

Jennifer Drexler

Yu-An Chung

Sameer Khurana

David Harwath

Research Areas

Impact Areas

Project

Robot Compiler

The Robot Compiler allows non-engineering users to rapidly fabricate customized robots, facilitating the proliferation of robots in everyday life. It thereby marks an important step towards the realization of personal robots that have captured imaginations for decades.

Leads

Joseph DelPreto

Andrew Spielberg

Daniela Rus

Research Areas

Impact Areas

Project

Distributed Robot Garden

The robot garden provides an aesthetically pleasing educational platform that can visualize computer science concepts and encourage young students to pursue programming and robotics.

Leads

Joseph DelPreto

Lindsay Sanneman

Daniela Rus

Research Areas

Impact Areas

Decentralized Information Group

Project

PrivacyML - A Privacy Preserving Framework for Machine Learning

Computing & Society Community of Research

We are developing a general framework that enforces privacy transparently enabling different kinds of machine learning to be developed that are automatically privacy preserving.

Lalana Kagal

Vaikkunth Mugunthan

Leads

Lalana Kagal

Vaikkunth Mugunthan

Research Areas

Impact Areas

Lalana Kagal

Vaikkunth Mugunthan

Project

Alloy

Software Design Group

Alloy is a language for describing structures and a tool for exploring them. It has been used in a wide range of applications from finding holes in security mechanisms to designing telephone switching networks. Hundreds of projects have used Alloy for design analysis, for verification, for simulation, and as a backend for many other kinds of analysis and synthesis tools, and Alloy is currently being taught in courses worldwide.

Daniel Jackson

Leads

Daniel Jackson

Research Areas

Impact Areas

Daniel Jackson

Project

Sensorized Soft Electric Hands with Handed Shearing Auxetics

Putting a twist on traditional pneumatic soft robots via handed shearing auxetics

Lillian Chin

Leads

Lillian Chin

Research Areas

Impact Areas

Lillian Chin

Project

Determining Wikipedia's Influence on Science

Supertech Research Group

Wikipedia is one of the most widely accessed encyclopedia sites in the world, including by scientists. Our project aims to investigate just how far Wikipedia’s influence goes in shaping science.

Neil Thompson

Charles E. Leiserson

Leads

Neil Thompson

Charles E. Leiserson

Research Areas

Impact Areas

Anyscale Learning for All ALFA

Neil Thompson

Charles E. Leiserson

Project

MOOC Learner Project: Data science for e-learning

Applied Machine Learning Community of Research

The MOOC Learner Project provides learning scientists, instructional designers and online education specialists with open source software that enables them to efficiently extract teaching and learning insights from the data collected when students learn on the edX or open edX platform.

Una-May O'Reilly

Erik Hemberg

Leads

Una-May O'Reilly

Erik Hemberg

Research Areas

Impact Areas

Una-May O'Reilly

Erik Hemberg

20 News Results matching all criteria

Computing & Health Education

July 22 '19

Professor Patrick Winston, former director of MIT’s Artificial Intelligence Laboratory, dies at 76

Beloved professor conducted pioneering research on imbuing machines with human-like intelligence, including the ability to understand stories.

Professor Patrick Winston, former director of MIT’s Artificial Intelligence Laboratory, dies at 76

Algorithms & Theory Computing & Health Computational Biology Computer Architecture Graphics & Vision Human-Computer Interaction Programming Languages & Software Engineering Robotics Security & Cryptography Systems & Networking Cybersecurity Education Energy Entertainment Health Care Manufacturing Transportation Wireless

June 27 '19

CSAIL hosts first-ever TEDxMIT

Speakers — all women — discuss everything from gravitational waves to robot nurses

CSAIL hosts first-ever TEDxMIT

Computing & Health Education

April 29 '19

Preparing high schoolers for a tech-driven future

MIT researchers joined Cambridge Rindge and Latin School students for a two-day event focused on future-ready skills.

Preparing high schoolers for a tech-driven future

Education

November 15 '18

Values-Based Leadership

How management training can prevent an unhealthy lab culture

Values-Based Leadership

Computing & Health Education Entertainment

October 04 '18

Detecting fake news at its source

Machine learning system aims to determine if an information outlet is accurate or biased.

Detecting fake news at its source

Computing & Health Education Health Care Manufacturing Transportation Wireless

October 03 '18

Google AI’s Jeff Dean discusses using deep learning to solve challenging problems

Google AI’s Jeff Dean has a seemingly straightforward objective: he wants to use a collection of trainable mathematical units organized in layers to solve complicated tasks that will ultimately benefit many parts of society.

Google AI’s Jeff Dean discusses using deep learning to solve challenging problems

Computing & Health Education Health Care Manufacturing Transportation Wireless

October 01 '18

Deep Learning to Solve Challenging Problems

October 1, 2018 - Jeff Dean of Google gave a CSAIL seminar titled "Deep Learning to Solve Challenging Problems."

Deep Learning to Solve Challenging Problems

Education

September 24 '18

Anant Agarwal, MIT professor and edX CEO, wins Yidan Prize

Agarwal is recognized for making education more accessible to people around the world, via edX open-source online platform.

Anant Agarwal, MIT professor and edX CEO, wins Yidan Prize

Graphics & Vision Education Entertainment

September 19 '18

Creating 3-D-printed “motion sculptures” from 2-D videos

CSAIL system could help athletes, dancers, and others better analyze how they move

Creating 3-D-printed “motion sculptures” from 2-D videos

Computing & Health Education Entertainment

September 17 '18

“Hot Topics in Computing” series covers the spread of information and fake news

MIT professor Daniela Rus speaks on social media and misinformation spurred by global disasters with University of Washington professor Kate Starbird

“Hot Topics in Computing” series covers the spread of information and fake news

Given an image of someone doing yoga, the system can generate an image of them doing golf (and vice versa)

Computing & Health Graphics & Vision Education

June 18 '18

Put any person in any pose

MIT CSAIL neural network could be used by coaches to help players see themselves using the correct form

Put any person in any pose

Tim Berners-Lee was honored with the Turing Award for his work inventing the World Wide Web, the first web browser, and "the fundamental protocols and algorithms [that allowed] the web to scale."

Computer Architecture Big Data Cybersecurity Education Energy Entertainment Health Care Internet of Things Wireless

May 02 '18

From Utopia to Dystopia in 29 Short Years

May 2, 2018 - Sir Tim Berners-Lee of MIT gave a Dertouzos Distinguished Lecture titled "From Utopia to Dystopia in 29 Short Years."

From Utopia to Dystopia in 29 Short Years

Programming Languages & Software Engineering Systems & Networking Education

April 05 '18

Using friends to fight online harassment

CSAIL’s “Squadbox” uses “friendsourcing” to better support targets of cyberbullying.

Using friends to fight online harassment

Computing & Health Programming Languages & Software Engineering Education Entertainment

January 31 '18

3Q: D. Fox Harrell on his video game for the #MeToo era

The Imagination, Computation, and Expression Laboratory at MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL) has released a new video game called Grayscale, which is designed to sensitize players to problems of sexism, sexual harassment, and sexual assault in the workplace.

3Q: D. Fox Harrell on his video game for the #MeToo era

Algorithms & Theory Security & Cryptography Big Data Cybersecurity Education Entertainment Health Care Internet of Things Manufacturing

January 16 '18

Goldwasser, Micali, and Rivest win BBVA Foundation Frontiers of Knowledge Awards

This week it was announced that MIT professors and CSAIL principal investigators Shafi Goldwasser, Silvio Micali, Ronald Rivest, and former MIT professor Adi Shamir won this year’s BBVA Foundation Frontiers of Knowledge Awards in the Information and Communication Technologies category for their work in cryptography.

Goldwasser, Micali, and Rivest win BBVA Foundation Frontiers of Knowledge Awards

Computing & Health Human-Computer Interaction Big Data Education Entertainment Health Care Internet of Things

December 11 '17

Reading a neural network’s mind

Neural networks, which learn to perform computational tasks by analyzing huge sets of training data, have been responsible for the most impressive recent advances in artificial intelligence, including speech-recognition and automatic-translation systems.

Reading a neural network’s mind

WaitSuite opens up new possibilities for "micro-learning," leveraging idle moments like when you're waiting to connect to WiFi or refresh your email.

Computing & Health Human-Computer Interaction Education Internet of Things

April 18 '17

Learn a language while you wait for WiFi

Hyper-connectivity has changed the way we communicate, wait, and productively use our time. Even in a world of 5G wireless and “instant” messaging, there are countless moments throughout the day when we’re waiting for messages, texts, and Snapchats to refresh. But our frustrations with waiting a few extra seconds for our emails to push through doesn’t mean we have to simply stand by.

Learn a language while you wait for WiFi

Human-Computer Interaction Education Health Care

February 08 '17

Frugal Innovations for a Developing World

February 8, 2017 - Bill Thies of Microsoft Research India gave a Dertouzos Distinguished Lecture titled "Frugal Innovations for a Developing World."

Frugal Innovations for a Developing World

System that learns to distinguish words’ phonemes could aid development of speech-processing systems for under-studied languages

Computing & Health Human-Computer Interaction Big Data Education Entertainment Internet of Things

September 14 '15

Learning spoken language

Every language has its own collection of phonemes, or the basic phonetic units from which spoken words are composed. Depending on how you count, English has somewhere between 35 and 45. Knowing a language’s phonemes can make it much easier for automated systems to learn to interpret speech.In the 2015 volume of Transactions of the Association for Computational Linguistics, CSAIL researchers describe a new machine-learning system that, like several systems before it, can learn to distinguish spoken words. But unlike its predecessors, it can also learn to distinguish lower-level phonetic units, such as syllables and phonemes.

Learning spoken language

Systems & Networking Education

October 09 '14

MOOCS - who is likely to drop out and why?

By crunching 130 million mouse-clicks, two CSAIL researchers have developed a machine-learning model that can predict with surprising accuracy whether or not a MOOC student will drop out of a given course.

MOOCS - who is likely to drop out and why?

22 Group Results

Research Group

Anyscale Learning for All ALFA

Our vision is data-driven machine learning systems that advance the quality of healthcare, the understanding of cyber arms races and the delivery of online education.

Una-May O'Reilly

Leads

Una-May O'Reilly

Research Areas

Impact Areas

Lead

Una-May O'Reilly

Community of Research

Applied Machine Learning Community of Research

Una-May O'Reilly

Leads

Una-May O'Reilly

Research Areas

Impact Areas

Lead

Una-May O'Reilly

Research Group

Center for Brains, Minds and Machines

Our main goal is developing a computationally based understanding of human intelligence and establishing an engineering practice based on that understanding.

Tomaso Poggio

Leads

Tomaso Poggio

Research Areas

Impact Areas

Lead

Tomaso Poggio

Community of Research

Cognitive AI Community of Research

Howard Shrobe

Leads

Howard Shrobe

Research Areas

Impact Areas

Lead

Howard Shrobe

Research Group

Computational Perception & Cognition

We combine methods from computer science, neuroscience and cognitive science to explain and model how perception and cognition are realized in human and machine.

Aude Oliva

Leads

Aude Oliva

Research Areas

Impact Areas

Lead

Aude Oliva

Research Group

Genesis Group

The Genesis Group focuses on developing an account of human intelligence with special
emphasis on developing computational models of how people tell, perceive and understand
stories.

Leads

Research Areas

Impact Areas

Research Group

Haystack Group

We are an interdisciplinary group of researchers blending approaches from human-computer interaction, social computing, databases, information management, and databases.

Lea Verou

David Karger

Leads

David Karger

Research Areas

Impact Areas

Lead

David Karger

Lea Verou

David Karger

Research Group

HCI Engineering Group

We work at the intersection of human computer interaction and personal fabrication tools.

Stefanie Mueller

Leads

Stefanie Mueller

Research Areas

Impact Areas

Lead

Stefanie Mueller

Community of Research

Human-Computer Interaction Community of Research

The focus of the HCI CoR is inventing new systems and technology that lie at the interface between people and computation, and understanding their design, implementation, and societal impact.

Stefanie Mueller

Leads

Stefanie Mueller

Research Areas

Impact Areas

Lead

Stefanie Mueller

Research Group

Imagination, Computation, and Expression Laboratory (ICE Lab)

We develop computing systems for creative expression, cultural analysis, and social change.

Peter Mawhorter

James Bowie Wilson

D. Fox Harrell

Leads

D. Fox Harrell

Research Areas

Impact Areas

Lead

D. Fox Harrell

Peter Mawhorter

James Bowie Wilson

D. Fox Harrell

Research Group

Infolab

We investigate language in different contexts: from how it is learned, to how it is grounded in visual perception, all the way to how machines can readily interact with humans.

Boris Katz

Leads

Boris Katz

Research Areas

Impact Areas

Lead

Boris Katz

Research Group

Lecturers

Lecturers in CSAIL

Leads

Research Areas

Impact Areas

Research Group

Machine Learning

We work on a variety of topics spanning theoretical foundations, algorithms, and applications.

Leads

Tamara Broderick

Tommi Jaakkola

Stefanie Jegelka

Leslie Kaelbling

David Sontag

Research Areas

Impact Areas

Lead

Tamara Broderick

Tommi Jaakkola

Stefanie Jegelka

Leslie Kaelbling

David Sontag

Research Group

MIT App Inventor

MIT App Inventor is an intuitive, visual programming environment that allows everyone – even children – to build fully functional apps for smartphones and tablets.

Hal Abelson

Leads

Hal Abelson

Research Areas

Impact Areas

Lead

Hal Abelson

Research Group

Multimodal Understanding Group

Our objective is to build techniques, software, and hardware that enable natural interaction with
computation.

Randall Davis

Leads

Randall Davis

Research Areas

Impact Areas

Lead

Randall Davis

Research Group

Programming Languages and Software Engineering

We research programming languages, software engineering, and related work in human-computer interaction.

Leads

Research Areas

Impact Areas

Research Group

Software Design Group

Our goal is to find better ways to make software, and ways to make software better.

Daniel Jackson

Leads

Daniel Jackson

Research Areas

Impact Areas

Lead

Daniel Jackson

Research Group

Spoken Language Systems Group

Our goal is to create technology that makes it possible for everyone in the world to interact with with computers via natural spoken language.

+13

Jim Glass

Leads

Jim Glass

Research Areas

Impact Areas

Lead

Jim Glass

+13

Jim Glass

Research Group

Sussman Lab

We focus on understanding the problem-solving strategies used by scientists and engineers, with the goals of automating parts of the process and formalizing educational methods.

Gerald Sussman

Leads

Gerald Sussman

Research Areas

Impact Areas

Lead

Gerald Sussman

Research Group

Usable Programming Group

We design and study systems that improve the learnability, efficiency, and safety of software development.

Rob Miller

Leads

Rob Miller

Research Areas

Impact Areas

Lead

Rob Miller

Research Group

Visualization Group

Arvind Satyanarayan

Leads

Arvind Satyanarayan

Research Areas

Impact Areas

Lead

Arvind Satyanarayan

Research Group

Weiss Laboratory for Synthetic Biology

The Weiss Lab seeks to create integrated biological systems capable of autonomously performing useful tasks, and to elucidate the design principles underlying complex phenotypes.

Ron Weiss

Leads

Ron Weiss

Research Areas

Impact Areas

Computational Cognitive Science Group

Lead

Ron Weiss

23 Project Results

Project

A Counterfactual Simulation Model of Causal Judgment

We develop a computational model that explains how people make causal judgments in physical scenes by mentally simulating counterfactual outcomes and comparing those to what actually happened.

Leads

Research Areas

Impact Areas

Project

Active Learning of Models for Planning

We aim to develop a systematic framework for robots to build models of the world and to use these to make effective and safe choices of actions to take in complex scenarios.

Leads

Zi Wang

Leslie Kaelbling

Tomas Lozano-Perez

Research Areas

Impact Areas

Imagination, Computation, and Expression Laboratory (ICE Lab)

Project

AIRvatar System: A Framework for Analyzing Virtual Identities

AIRvatar is a system that telemetrically collects and analyzes fine-grained data on users’ virtual identities and the process used to create them.

D. Fox Harrell

Leads

D. Fox Harrell

Research Areas

Impact Areas

D. Fox Harrell

Project

Alloy

Software Design Group

Daniel Jackson

Leads

Daniel Jackson

Research Areas

Impact Areas

Daniel Jackson

Project

Automatic Speech Recognition

Leads

Hao Tang

Wei-Ning Hsu

David Harwath

Sameer Khurana

Di-Chia Chueh

Jim Glass

Research Areas

Impact Areas

Project

Bayesian Optimization for Global Optimization of Expensive Black-box Functions

Zi Wang

Leads

Zi Wang

Research Areas

Impact Areas

Imagination, Computation, and Expression Laboratory (ICE Lab)

Zi Wang

Project

Changing Minds via Roleplay in Interactive Digital Media

D. Fox Harrell

Leads

D. Fox Harrell

Research Areas

Impact Areas

Computational Fabrication Group

D. Fox Harrell

Project

Crowdsourcing in Graphics and Vision

Our goal is to develop new applications and algorithms that leverage the skills of distributed crowdworkers, notably for image and video processing applications.

Alexandre Kaspar

Leads

Alexandre Kaspar

Research Areas

Impact Areas

Imagination, Computation, and Expression Laboratory (ICE Lab)

Alexandre Kaspar

Project

Culturally-Grounded Virtual Identities: A Case Study in a Qatari Context

D. Fox Harrell

Leads

D. Fox Harrell

Research Areas

Impact Areas

D. Fox Harrell

Project

Determining Wikipedia's Influence on Science

Supertech Research Group

Wikipedia is one of the most widely accessed encyclopedia sites in the world, including by scientists. Our project aims to investigate just how far Wikipedia’s influence goes in shaping science.

Neil Thompson

Charles E. Leiserson

Leads

Neil Thompson

Charles E. Leiserson

Research Areas

Impact Areas

Neil Thompson

Charles E. Leiserson

Project

Distributed Robot Garden

The robot garden provides an aesthetically pleasing educational platform that can visualize computer science concepts and encourage young students to pursue programming and robotics.

Leads

Joseph DelPreto

Lindsay Sanneman

Daniela Rus

Research Areas

Impact Areas

Anyscale Learning for All ALFA

Project

MOOC Learner Project: Data science for e-learning

Applied Machine Learning Community of Research

Una-May O'Reilly

Erik Hemberg

Leads

Una-May O'Reilly

Erik Hemberg

Research Areas

Impact Areas

Decentralized Information Group

Una-May O'Reilly

Erik Hemberg

Project

PrivacyML - A Privacy Preserving Framework for Machine Learning

Computing & Society Community of Research

We are developing a general framework that enforces privacy transparently enabling different kinds of machine learning to be developed that are automatically privacy preserving.

Lalana Kagal

Vaikkunth Mugunthan

Leads

Lalana Kagal

Vaikkunth Mugunthan

Research Areas

Impact Areas

Lalana Kagal

Vaikkunth Mugunthan

Project

Robot Compiler

Leads

Joseph DelPreto

Andrew Spielberg

Daniela Rus

Research Areas

Impact Areas

Model-Based Embedded and Robotics Systems Group

Project

Robots Adapting to Human Intent

Our goal is to develop algorithms for allowing robots to adapt intelligently to humans when they are working together as a team.

Brian Williams

Leads

Brian Williams

Research Areas

Impact Areas

Brian Williams

Project

Sensorized Soft Electric Hands with Handed Shearing Auxetics

Putting a twist on traditional pneumatic soft robots via handed shearing auxetics

Lillian Chin

Leads

Lillian Chin

Research Areas

Impact Areas

Lillian Chin

Project

Supervising Robots with Muscle and Brain Signals

What if we could control robots more intuitively, using just hand gestures and brainwaves?

Joseph DelPreto

Leads

Joseph DelPreto

Research Areas

Imagination, Computation, and Expression Laboratory (ICE Lab)

Impact Areas

Joseph DelPreto

Project

Toward Using Virtual Identities in Computer Science Learning for Broadening Participation

Sneha Veeragoudar Harrell

Aziria Rodriguez

D. Fox Harrell

Leads

D. Fox Harrell

Research Areas

Impact Areas

Sneha Veeragoudar Harrell

Aziria Rodriguez

D. Fox Harrell

Project

Unsupervised Speech Processing

Leads

Jennifer Drexler

Yu-An Chung

Sameer Khurana

David Harwath

Research Areas

Impact Areas

Project

Wait-learning: Intelligent Systems for Making Productive Use of Wait Time

Usable Programming Group

Wait-learning makes it easier for busy people to learn informally, by automatically detecting when they are waiting and delivering optional learning exercises that can be completed during wait time.

Rob Miller

Leads

Rob Miller

Research Areas

Impact Areas

Rob Miller

Project

Where Are They Looking?

Vision Group

Leads

Research Areas

Impact Areas

Project

Who Knows What? Perspective-Enabled Story Understanding

Genesis Group

To understand human intelligence, we must be able to model how humans understand stories from multiple characters' perspectives.

Leads

Research Areas

Impact Areas

Project

Wikum: Bridging Discussion Systems and Wikis with Collective Summarization

Haystack Group

Theory of Computation Community of Research

We build tools to allow a community of people to collectively summarize large discussions online and manage knowledge embedded within these discussions.

David Karger

Leads

David Karger

Research Areas

Impact Areas