The grants will support the creation and deployment of open source trained models, algorithms, and datasets to support species discovery. To strengthen your application, consider aligning with a research group to address a biodiversity question. For example, pair an expert capable of creating and deploying an open source trained model or algorithm with a research specialist using this model or algorithm to address a pressing biodiversity question. We encourage proposals for work in any biome.
Proposed work should create generalizable, scalable tools that use AI to support species discovery. Priority will be given to projects that do one or more of the following:
Use AI to address challenges in filling biodiversity data gaps.
Generate data and develop open-source technologies that contribute to scientific inquiry and advance our knowledge of the planet’s biodiversity.
Use AI and machine learning to capitalize on the information potential of massive and complex datasets.
Proposals may request $5,000 to $100,000. The budgets of successful proposals will include reasonable, well-justified costs directly required to complete the project. Please see the Preparing Your Proposal page regarding budget guidance, including stipend eligibility, and justify all budget requests in detail. Successful applicants may use awarded funds over one year.
In addition to financial support, successful proposals will receive free access to Microsoft’s AI for Earth API’s, applications, tools, and tutorials, and support for their computational work on Microsoft Azure.
All models supported through this grant must be open source, and grant recipients must be willing to (1) publicly share their models for use by other environmental researchers, and (2) share the underlying data with the National Geographic Society. More specifically, grant recipients must:
Make their solutions available for publication on the AI for Earth website through a designated open source license.
Make their training data on which their solutions are developed publicly available in a standard digital format.
Implement their solutions on Microsoft Azure.
When applying for this RFP, please select “Wildlife” in the Lens dropdown menu on the Project Description tab of the application.
If you have questions about the AI for Species Discovery RFP, please email us at email@example.com with “AI for Species Discovery” in the subject line.