Data
Data

Data

Algorithms Artificial Intelligence Data Ethics Faculty Graduate, postdoctoral Health Care Human-computer interaction machine learning MIT Schwarzman College of Computing MIT Sloan School of Management Philosophy Political science Research School of Architecture and Planning School of Engineering School of Humanities Arts and Social Sciences School of Science Social justice social media Special events and guest speakers Students Technology and policy Technology and society Undergraduate Urban studies and planning

Bringing meaning into technology deployment

The MIT Ethics of Computing Research Symposium showcases projects at the intersection of technology, ethics, and social responsibility.

Artificial Intelligence Books and authors Collaboration Computer science and technology Covid-19 Data Education, teaching, academics Electrical engineering and computer science (EECS) Ethics Faculty IDSS Laboratory for Information and Decision Systems (LIDS) Leadership machine learning MIT Schwarzman College of Computing Pandemic School of Engineering Statistics Technology and policy Technology and society

Melding data, systems, and society

A new book from Professor Munther Dahleh details the creation of a unique kind of transdisciplinary center, uniting many specialties through a common need for data science.

Algorithms Alumni/ae Artificial Intelligence Computer Science and Artificial Intelligence Laboratory (CSAIL) Computer science and technology Data Electrical engineering and computer science (EECS) Faculty Innovation and Entrepreneurship (I&E) machine learning MIT Schwarzman College of Computing Neuroscience School of Engineering Startups

Teaching AI models what they don’t know

A team of MIT researchers founded Themis AI to quantify AI model uncertainty and address knowledge gaps.

Artificial Intelligence Data Health Care Institute for Medical Engineering and Science (IMES) Interview Medicine Research School of Engineering Staff

3 Questions: How to help students recognize potential bias in their AI datasets

Courses on developing AI models for health care need to focus more on identifying and addressing bias, says Leo Anthony Celi.

Algorithms Artificial Intelligence Computer science and technology Data Electrical engineering and computer science (EECS) Graduate, postdoctoral Human-computer interaction Laboratory for Information and Decision Systems (LIDS) machine learning MIT Schwarzman College of Computing OpenCourseWare Profile School of Engineering Students Systems design

An anomaly detection framework anyone can use

PhD student Sarah Alnegheimish wants to make machine learning systems accessible.

Analytics Artificial Intelligence Classes and programs Collaboration Data EdX Global IDSS International initiatives Latin America machine learning Massive open online courses (MOOCs) MIT Schwarzman College of Computing MITx Online learning Statistics

Building networks of data science talent

Through collaborations with organizations like BREIT in Peru, the MIT Institute for Data, Systems, and Society is upskilling hundreds of learners around the world in data science and machine learning.

Algorithms Artificial Intelligence Computer Science and Artificial Intelligence Laboratory (CSAIL) Computer science and technology Data Electrical engineering and computer science (EECS) machine learning MIT Schwarzman College of Computing MIT-IBM Watson AI Lab Research School of Engineering Video

AI learns how vision and sound are connected, without human intervention

This new machine-learning model can match corresponding audio and visual data, which could someday help robots interact in the real world.

Aeronautical and astronautical engineering Algorithms Artificial Intelligence Computer science and technology Data Electric grid machine learning MIT Schwarzman College of Computing NASA Networks Research School of Engineering Software Transportation

Learning how to predict rare kinds of failures

Researchers are developing algorithms to predict failures when automation meets the real world in areas like air traffic scheduling or autonomous vehicles.

Algorithms Artificial Intelligence Behavior Behavioral economics Computer science and technology Data Economics Electrical engineering and computer science (EECS) Faculty Laboratory for Information and Decision Systems (LIDS) machine learning MIT Schwarzman College of Computing Profile School of Engineering School of Humanities Arts and Social Sciences Technology and society

The sweet taste of a new idea

Sendhil Mullainathan brings a lifetime of unique perspectives to research in behavioral economics and machine learning.

Alumni/ae Analytics Artificial Intelligence Books and authors Business and management Data Education, teaching, academics Faculty Health Care Interview machine learning Medicine MIT Sloan School of Management MITx Office of Open Learning Provost Research

Q&A: A roadmap for revolutionizing health care through data-driven innovation

A new book coauthored by MIT’s Dimitris Bertsimas explores how analytics is driving decisions and outcomes in health care.