Google.org Impact Challenge: AI for Science 2026 (up to $3M) – YOA

Deadline: April 17, 2026

Applications are open for the Google.org Impact Challenge: AI for Science 2026. The Google.org Impact Challenge: AI for Science is a $30M international open-name designed to empower researchers and organizations with the funding, instruments, and technical experience they want to speed up scientific breakthroughs. Beyond funding, organizations could take part in a Google.org Accelerator and obtain six months of devoted professional bono technical assist from Google consultants and entry to Google Cloud credit to assist deliver these tasks to life.

They are notably interested by proposals leveraging AI and superior expertise to obtain scientific breakthroughs and speed up progress within the following methods:

• AI for Health & Life Sciences: Improve our understanding of human life—from genomics to mind mapping—to finally enhance human well being and wellbeing.
• AI for Climate Resilience & Environmental Science: Build a deeper understanding of our planet’s dwelling techniques—spanning biodiversity, agriculture, oceans, and extra—to assist construct a extra resilient and sustainable Earth and environment.

Funding

• Selected organizations will obtain funding from Google.org (between $500K and $3M USD) and have the choice to take part in a Google.org Accelerator, which helps organizations as they work to resolve a few of the world’s most urgent scientific challenges by leveraging generative AI and agentic capabilities. This multi-month program accelerates excessive-influence options via devoted professional bono technical assist from Google consultants.

Eligibility

Eligible candidates embody:

• Nonprofit organizations
• Social enterprises
• Academic establishments
• Research establishments

Criteria

Applications shall be evaluated utilizing the next standards: Scientific Ambition & Impact, Innovative & Responsible Use of AI, Feasibility, and Scalability & Sustainability. 

• Scientific Ambition & Impact: Projects should pursue excessive-influence analysis within the following areas: AI for Health & Life Sciences, AI for Climate Resilience & Environmental Science. Proposals needs to be proof-primarily based and outline clear, quantifiable success metrics.
• Innovative & Responsible Use of AI: AI needs to be a core element of the answer, developed in alignment with Google Responsible AI Principles and shared through open-supply licensing to profit the general public, or the answer ought to particularly allow future AI use instances (e.g. a foundational open dataset).
• Feasibility: Applicants should present a sensible execution plan, timeline, and finances. Teams should possess the required technical and area experience to efficiently execute the proposed analysis.
• Scalability & Sustainability: Projects ought to show potential for scaled influence and/or relevance past their speedy scope. Applicants are inspired to articulate how their outputs shall be found, adopted, and maintained throughout scientific domains and geographies.

Application

Click here to apply

For extra data, go to Google.org Impact Challenge: AI for Science.