AI for Conservation

Collaboration with Microsoft


Collaborating with Microsoft to optimize AI and Azure capabilities

The Nature Conservancy is partnering with Microsoft to address the world’s most pressing issues in ocean, coastal, floodplain, and watershed environments through the expansion of The Nature Conservancy’s Natural Solutions Toolkit. The Toolkit represents the Conservancy’s largest suite of geospatial tools and web applications for climate adaptation and resilience planning, and Microsoft has committed to support this technology on their Azure cloud platform to scale the Conservancy’s conservation impact through Artificial Intelligence (AI).

The goals of the collaboration include:

  • Evolving Coastal Resilience and Natural Solution Toolkit projects on the Azure cloud by exploring AI capabilities to magnify conservation impacts and nature-based climate adaptation solutions
  • Enabling the Conservancy to leverage the Data Science Virtual Machine (DVSM) as part of the Azure cloud architecture and support its geospatial expansion
  • Enabling the Conservancy to maximize the value of the Azure migration

This collaboration builds on a long history of support and strategic collaboration between our two organizations. Microsoft has an environmental mission to empower people and organizations globally to thrive in a resource-constrained world. As technology and data science continue to evolve and AI capabilities enable huge advances in data-driven decision support tools, the Conservancy and Microsoft’s AI for Earth program are keen to leverage Azure-based AI and GIS to expose the value of nature-based solutions to key decision makers across governments, global entities, special interest groups, and the private sector.

The following initial three collaborative projects are applying these technologies to better inform conservation and climate adaptation decisions:

  1. Community Rating System (CRS): to enhance participation in the National Flood Insurance Program’s CRS program, this project will deploy and systematize an Esri ArcGIS model that inputs parcel-scale data (CRS Explorer App) and a Microsoft machine learning algorithm (to decipher land types) to identify current and future open space preservation credit opportunities that translate to reduced flood insurance rates.
    • Geographic focus: North Carolina, Florida, South Carolina, and Louisiana
    • Key audiences: county and local government, as well as coastal communities applying for CRS open space credits
  2. Mapping Ocean Wealth: to enhance the ability of this global initiative to map ocean ecosystem services, with a focus on travel and tourism, this project will apply AI to the award-winning Recreation and Tourism web app to assess the spatial distribution and extent of travel to coral reef countries and calculate an economic value of tourism. This economic value of coral reefs is calculated by country through the harvesting and analysis of crowd-sourced data.
    • Geographic focus: Micronesia and Caribbean countries and the U.S. state of Florida, with expansion to Haiti, Jamaica, Australia, and OECS countries
    • Key audiences: World Travel & Tourism Council, the World Bank, and local tourism facilities (i.e., dive shops, hotels)
  3. Resilient Coastal Cities: as part of a new partnership with the Red Cross and Red Crescent Global Disaster Preparedness Center, the Conservancy is supporting the Red Cross Resilient Coastal Cities project in Southeast Asia to help identify ways that nature can build social and ecological resilience within disaster management. This project will create a dashboard and mobile app that incorporates social media data on flood location and magnitude with socioeconomic and ecological data for city planning and include mangrove restoration simulations to promote coastal adaptation in Semarang, Indonesia.
    • Geographic focus: Geospatial framework and app development is designed to be replicated in other cities in Southeast Asia in the context of disaster preparedness, response and recovery planning
    • Key audiences: local Red Cross/Red Crescent Society, Chief Resilient Officers, city planners, and non-governmental entities

Following an initial pilot phase of these three initial projects, we intend to scale opportunities for adoption and explore and identify other emerging natural solutions projects that can be enhanced by AI and Azure cloud technologies.

Technology accelerates everything it is applied to. It therefore holds the promise to accelerate conservation solutions so that they scale to global environmental challenges. Developing on Azure is a great opportunity for the Conservancy to advance our geospatial decision support tools and web apps that can catalyze conservation and climate adaptation efforts across land and sea.” – Zach Ferdaña, Senior Program Manager at The Nature Conservancy.

The official launch of the collaboration can be seen in our press release, and a Microsoft blog about this new venture in celebration of Earth Day 2017.

To learn more about the evolving partnership, read this article by Geek Wire’s series on community issues, innovative solutions to societal challenges, and people and non-profit groups making an impact through technology

Collaborative Lighthouse Projects

Mapping Ocean Wealth

Mapping Ocean Wealth

To enhance the Mapping Ocean Wealth program’s understanding of nature-based coastal tourism, this project will use AI and ArcGIS to assess the spatial distribution and extent of tourism on global reefs through live harvesting of crowd-sourced data.
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Open Space

Open Space

The Nature Conservancy is partnering with NOAA’s Office of Coastal Management (OCM) to coordinate efforts to meet the goals and objectives of coastal zone management in the U.S. and highlight those actions that also receive credits from FEMA’s Community Rating System (CRS).
Read More

Resilient Coastal Cities

Resilient Coastal Cities

The Nature Conservancy has joined efforts with GDPC in the Coastal Cities project to help identify ways that nature can be a part of building social-ecological community resilience before, during, and after natural disasters.
Read More