Artificial intelligence tools for a more sustainable plane

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: Species are going extinct at alarming rates, and our planet’s last wild places need protection. AI can help in areas like:
      • Protected area management and restoration
      • Sustainable trade
      • Invasive species and disease control
      • Pollution control
      • Realizing natural capital (including valuing natural capital, species identification)
    • Climate change: Extreme weather events, rising sea levels, higher global temperatures, and increased ocean acidity threaten human health, infrastructure, and the natural systems we rely on for life itself. AI can help in areas like:
      • Climate resilience
      • Extreme weather and climate modeling
      • Sustainable land-use change
      • Ecosystem services (including carbon sequestration and afforestation/reforestation)
    • Agriculture: To feed the world’s rapidly growing population, farmers must produce more food on less arable land, and with lower environmental impact. AI can help in areas like:
      • Land-use planning and management
      • Natural resource conservation
      • Sustainable supply chains
      • Climate-resilient agriculture
  • Water: In the next two decades, demand for fresh water—for human consumption, agriculture, and hygiene—is predicted to dramatically outpace supply. AI can help in areas like:
    • Water supply (including catchment control)
    • Water quality and sanitation
    • Water efficiency
    • Extreme-event (droughts, floods, disasters, etc.) management
    • Healthy oceans

Below are just a few examples of the types of tools that we are interested in supporting:

  • Biodiversity conservation: acoustic and image classification, geotemporal distribution models
  • Climate change: temperature and precipitation model downscaling, risk optimization
  • Agriculture: health monitoring in crops and livestock, yield modeling
  • Water: groundwater modeling, flood prediction

Grant Resources: Typical proposal requests should be less than $100,000; however, applicants may request up to $200,000. Successful applicants may use awarded funds over one year. (Please see the Preparing Your Proposal page regarding stipend eligibility and other budgetary guidance.)

In addition to financial support, successful proposals will receive free access to AI for Earth API’s, applications, tools, and tutorials, and support for their computational work on Microsoft Azure.

Project Requirements: 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.

Applicant Qualifications: 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.


Learn more

Read 254 times
Share this article

About author

Chris Chris

Business and Investment

Following the success of the inaugural Congress,
Main Grant Application Announcement : January
LAGOS, NIGERIA – Africa’s largest philanthropy
The Africa Region of the World Bank Group (WBG)
International travel to Africa is expected to