Google.orgOther

$3M Google AI for Science Funding Challenge

This one has closed

Archived

Opportunity type

Other

Funding

Fully Funded

Location

Global

Deadline

Archived

About this opportunity

A $30M global open call to empower researchers, nonprofits, social enterprises, and academic institutions to use AI for scientific breakthroughs. The program supports projects that accelerate discovery in health, life sciences, climate resilience, and environmental science.

Benefits include:

Funding between $500K and $3M USD per project
Participation in the Google.org Accelerator (six months of pro bono technical support)
Access to Google Cloud credits and AI expertise
Visibility through Google.org’s global platforms
Opportunity to collaborate with leading scientists and technologists

Who can apply

Applicant must be a nonprofit, social enterprise, or academic institution
Project must use AI responsibly, aligned with Google’s Responsible AI Principles
Must be open‑source or enable future AI use cases (e.g., foundational datasets)
Clear scientific ambition with quantifiable success metrics
Feasible execution plan, timeline, and budget
Potential for scalability and sustainability across geographies
Running a project or organization
Working (full-time or part-time)

LOT finds and checks opportunities from public sources. Always confirm details on the organiser’s own page before applying.

Google.orgOther

$3M Google AI for Science Funding Challenge

This one has closed

Archived

Opportunity type

Other

Funding

Fully Funded

Location

Global

Deadline

Archived

About this opportunity

Benefits include:

Funding between $500K and $3M USD per project
Participation in the Google.org Accelerator (six months of pro bono technical support)
Access to Google Cloud credits and AI expertise
Visibility through Google.org’s global platforms
Opportunity to collaborate with leading scientists and technologists

Who can apply

Applicant must be a nonprofit, social enterprise, or academic institution
Project must use AI responsibly, aligned with Google’s Responsible AI Principles
Must be open‑source or enable future AI use cases (e.g., foundational datasets)
Clear scientific ambition with quantifiable success metrics
Feasible execution plan, timeline, and budget
Potential for scalability and sustainability across geographies
Running a project or organization
Working (full-time or part-time)

LOT finds and checks opportunities from public sources. Always confirm details on the organiser’s own page before applying.