Impact

AI-MI connects research with society through outreach, education, and partnerships that foster inclusive participation and real-world impact from AI-enabled materials discovery.

Partnerships

arxiv
Citrine Informatics
Cornell High Energy Synchrotron Source
Cornell Tech K-12 Initiative
Dow
Google Research
Harlem Educational Activities Fund
k-Space Associates
Meta Fair
IAIFI
Paradim
Oak Ridge National Labratory
Procter & Gamble
arxiv
Citrine Informatics
Cornell High Energy Synchrotron Source
Cornell Tech K-12 Initiative
Dow
Google Research
Harlem Educational Activities Fund
k-Space Associates
Meta Fair
IAIFI
Paradim
Oak Ridge National Labratory
Procter & Gamble

As a NSF AI Institutes Virtual Organization, AI-MI is partially supported by Intel Corporation.

Intel
A teacher teaching coding in a elementary school classroom

Photo credit: Cornell Tech

K-12 Initiative

AI-MI partners with the Cornell Tech K–12 Initiative to make high-quality computer science and AI education more accessible nationwide. We are developing free, standards-aligned learning modules that align with AP Computer Science Principles and K–12 AI “big ideas”. Each module includes a discussion-centered lesson plan, slides, a teacher’s guide, video lessons, and a short interview with AI-MI researchers. All materials are hosted on Cornell and Cornell Tech websites and are available to educators at no cost.

A group shot of HEAF students and instructors wearing yellow HEAF t-shirts

Photo credit: Angelyn Love

RIMS Program

AI-MI is partnering with the Harlem Educational Activities Fund (HEAF) to run Research Internships in Materials Science (RIMS), an 8-week, paid internship program for New York City high school students. Each year the program AI-MI seeks to support additional high school students, who will participate in projects at the intersection of materials science and AI. HEAF helps select and screen applicants, provides feedback so the program is constantly improving, and tracks long-term outcomes.

A CHESS REU participant working in a lab

Photo credit: Savan DeSouza

AI-MI Summer Undergraduate Research Program

The AI-MI Summer Undergraduate Research Program is building upon a new collaboration between the NSF funded CHESS program and the Cornell Bowers BURE program. In this AI-MI summer undergraduate research program, students will work alongside scientists on a Materials Track or an AI Track to connect data generation (experiments, simulations, imaging, and literature) with AI analysis and rapid experimental feedback to dramatically reduce the time it takes to discover new materials — from months to days — while building reproducible, reusable workflows.

The CCNY campus

Photo credit: CCNY

AI-MI with BEAT+

AI-MI is partnering with BEAT+: Adding Branding and Entrepreneurship for Real-World Applications Using Emerging Technologies, a capstone project started in 2010 at CCNY. BEAT+ is a program for undergraduate seniors in computer science related fields. Participants work in teams to design assistive technology solutions using AI, data analytics and app development skills to help people in need. Teams learn how to design user interfaces, and communicate with end users, community partners and external collaborators about their technical solutions. AI-MI is broadening the scope of the BEAT+ program, supporting participants each year from both the BEAT+ cohort and students from CS and material backgrounds.