Funding
Funding

Funding

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.

Artificial Intelligence Awards, honors and fellowships Computer Science and Artificial Intelligence Laboratory (CSAIL) Computer science and technology Data Deshpande Center DMSE Electrical Engineering & Computer Science (eecs) Funding Grants Innovation and Entrepreneurship (I&E) machine learning Media Lab MIT Schwarzman College of Computing Research School of Engineering

MIT-Pillar AI Collective announces first seed grant recipients

Six teams conducting research in AI, data science, and machine learning receive funding for projects that have potential commercial applications.

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.