Collaboration
Collaboration

Collaboration

Artificial Intelligence Business and management Center for Collective Intelligence Collaboration Covid-19 Data Energy Faculty Funding Grants Greenhouse gases health IDSS Industry Infrastructure Mechanical engineering Medicine MIT Sloan School of Management Obesity Pandemic Public health Research School of Engineering Sustainability

Supporting sustainability, digital health, and the future of work

The MIT and Accenture Convergence Initiative for Industry and Technology selects three new research projects to support.

Algorithms Artificial Intelligence Cities Collaboration Global Human-computer interaction International initiatives Internet Of Things machine learning MIT Schwarzman College of Computing Research Robotics School of Architecture and Planning School of Engineering Singapore-MIT Alliance for Research and Technology (SMART) Soft robotics Sustainability Technology and society Urban studies and planning

SMART launches research group to advance AI, automation, and the future of work

Mens, Manus and Machina (M3S) will design technology, training programs, and institutions for successful human-machine collaboration.

Aeronautical and astronautical engineering Algorithms Artificial Intelligence Collaboration Comparative Media Studies/Writing Computer Science and Artificial Intelligence Laboratory (CSAIL) Data Economics Electrical Engineering & Computer Science (eecs) Funding Grants Human-computer interaction Industry Laboratory for Information and Decision Systems (LIDS) machine learning Media Lab MIT Schwarzman College of Computing MIT Sloan School of Management Operations research Physics Research School of Engineering School of Humanities Arts and Social Sciences School of Science Technology and society

Artificial intelligence for augmentation and productivity

The MIT Schwarzman College of Computing awards seed grants to seven interdisciplinary projects exploring AI-augmented management.

Algorithms Analytics apps Artificial Intelligence Collaboration Community Computer science and technology Education, teaching, academics Ethics Government Human-computer interaction International initiatives Internet K-12 education Labor and jobs Media Lab Mobile devices Office of Open Learning Online learning Open access Personal robotics School of Architecture and Planning Science communications social media Special events and guest speakers STEM education Technology and policy Technology and society

Day of AI curriculum meets the moment

Global participation in MIT RAISE’s free K-12 program more than doubles in its second year.

Artificial Intelligence Awards, honors and fellowships Biological engineering Collaboration Data Electrical Engineering & Computer Science (eecs) Funding Health Care Industry Innovation and Entrepreneurship (I&E) Koch Institute MIT Schwarzman College of Computing Pharmaceuticals School of Engineering

Novo Nordisk to support MIT postdocs working at the intersection of AI and life sciences

MIT-Novo Nordisk Artificial Intelligence Postdoctoral Fellows Program will support up to 10 postdocs annually over five years.

Agriculture Artificial Intelligence Bioengineering and biotechnology Biological engineering Biology Carbon dioxide chemistry Climate change Collaboration Food Funding Genetic engineering Grants Greenhouse gases J-WAFS machine learning Plants Research School of Engineering School of Science Synthetic biology Water Whitehead Institute

Inaugural J-WAFS Grand Challenge aims to develop enhanced crop variants and move them from lab to land

Matt Shoulders will lead an interdisciplinary team to improve RuBisCO — the photosynthesis enzyme thought to be the holy grail for improving agricultural yield.

Algorithms Artificial Intelligence Chemical engineering Collaboration Data Electrical Engineering & Computer Science (eecs) Health Care Industry machine learning Manufacturing Mechanical engineering Medicine Pharmaceuticals Research School of Engineering

Researchers develop novel AI-based estimator for manufacturing medicine

A collaborative research team from the MIT-Takeda Program combined physics and machine learning to characterize rough particle surfaces in pharmaceutical pills and powders.

Algorithms Artificial Intelligence Biology Brain and cognitive sciences Chemical engineering Collaboration Computer Science and Artificial Intelligence Laboratory (CSAIL) Drug development Electrical Engineering & Computer Science (eecs) Industry Institute for Medical Engineering and Science (IMES) machine learning Mechanical engineering Medicine MIT Schwarzman College of Computing MIT Sloan School of Management Pharmaceuticals School of Engineering School of Science

MIT-Takeda Program heads into fourth year with crop of 10 new projects

The program leverages MIT’s research expertise and Takeda’s industrial know-how for research in artificial intelligence and medicine.