The AI for Earth Innovation RFP

Type: 
Funding
Grant Deadline: 
10/08/2018
Organization: 
National Geographic Society, Microsoft's AI for Earth Program
Description: 

The National Geographic Society (NGS) and Microsoft’s AI for Earth program are partnering to support the exploration of how AI can help us understand, engage, and protect the planet. The $1 million AI for Earth Innovation Grant will provide grants to 5-15 novel projects that improve the way we monitor, model, and ultimately manage Earth’s natural systems for a more sustainable future. The grants will support the creation and deployment of open source trained models and algorithms that are available to other environmental researchers and innovators and thereby have the potential to provide exponential impact. To qualify, applications should outline a proposal to use AI for conservation in at least one of the following core areas: Biodiversity conservation, climate change, agriculture, and water. Please note the RFP deadline and also the project timeline is different from other National Geographic grant programs. On the Eligibility Requirement popup, check the box for a 6 months later start date, so you can still access the Grants Portal. But in the application, input January 1, 2019 as your start date. Projects should be complete by December 31, 2019.

Category: 
artificial intelligence, innovation, monitoring, climate modeling, management, natural resources, environment, sustainability
Funding Amount: 
$100,000-$200,000
Matching Funds: 
NA

Geography:

Eligibility: 
All models supported through this grant must be open source, and grant recipients must be willing to share their models for use by other environmental researchers and innovators. We recommend that the main applicant has a demonstrated background in environmental science and/or technology, and we require that at least one member of the team has strong enough technical skills (such as AI, machine learning, statistical data analysis, scientific modeling, software development, and/or remote sensing) to complete the proposed project successfully.