Google.org Impact Challenge: AI for Science
Introduction
This is the application for the Google.org Impact Challenge: AI for Science, a $30M global open call for nonprofits, social enterprises, and academic institutions to leverage AI to achieve scientific breakthroughs and accelerate scientific progress.
We are particularly interested in proposals leveraging AI and advanced technology to achieve scientific breakthroughs and accelerate progress in the following ways:
- AI for Health & Life Sciences: Improve our understanding of human life—from genomics to brain mapping—to ultimately improve human health and wellbeing.
- AI for Climate Resilience & Environmental Science: Build a deeper understanding of our planet’s living systems—spanning biodiversity, agriculture, oceans, and more—to help build a more resilient and sustainable Earth and atmosphere.
Criteria
Applications will be evaluated using the following criteria: Scientific Ambition & Impact, Innovative & Responsible Use of AI, Feasibility, and Scalability & Sustainability.
- Scientific Ambition & Impact: Projects must pursue high-impact research in the following areas: AI for Health & Life Sciences, AI for Climate Resilience & Environmental Science. Proposals should be evidence-based and define clear, quantifiable success metrics.
- Innovative & Responsible Use of AI: AI should be a core component of the solution, developed in alignment with Google’s Responsible AI Principles and shared via open-source licensing to benefit the public, or the solution should specifically enable future AI use cases (e.g. a foundational open dataset).
- Feasibility: Applicants must provide a realistic execution plan, timeline, and budget. Teams must possess the necessary technical and domain expertise to successfully execute the proposed research.
- Scalability & Sustainability: Projects should demonstrate potential for scaled impact and/or relevance beyond their immediate scope. Applicants are encouraged to articulate how their outputs will be discovered, adopted, and maintained across scientific domains and geographies.
For additional information on what we’re looking for, refer to our Frequently Asked Questions.
