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Patrick J. McGovern Foundation
About
show submenu for “About”
About Us
President’s Message
Our Team
Careers
Legacy
show submenu for “Legacy”
Patrick J. McGovern
Pages of Tech History
McGovern Institute for Brain Research
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Our Work
Products and Services
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JournaPilot
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Ideas + Action
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Our Grants
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for the Environmental Policy Innovation Center (EPIC) to catalyze progress for environmental technology adoption at the local, state, and federal level
for the Environmental Policy Innovation Center (EPIC) to catalyze progress for environmental technology adoption at the local, state, and federal level
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to support the continued development and rollout of the World Emissions Clock in pursuit of global climate-related behavior change
to support the continued development and rollout of the World Emissions Clock in pursuit of global climate-related behavior change
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Our Grants
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to provide support for Fair Trade USA priority and climate-related efforts
to provide support for Fair Trade USA priority and climate-related efforts
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To provide support for Artificial Intelligence / Machine Learning (AI/ML) techniques to estimate tree canopy in every urbanized area in the U.S. This data will replace currently licensed canopy data in Tree Equity Score and provide free access to all.
To provide support for Artificial Intelligence / Machine Learning (AI/ML) techniques to estimate tree canopy in every urbanized area in the U.S. This data will replace currently licensed canopy data in Tree Equity Score and provide free access to all.
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to provide support for Fair Trade USA’s Business and Technology Transformation Initiative.
to provide support for Fair Trade USA's Business and Technology Transformation Initiative.
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to empower marginalized communities to use technology to defend their rights.
to empower marginalized communities to use technology to defend their rights.
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Digital Dirt: Using Data to Advance Soil Carbon Sequestration
Digital Dirt: Using Data to Advance Soil Carbon Sequestration
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towards the development of data-driven approaches to guiding optimized placement of off-shore wind farms to maximize energy production while minimizing biological impact.
towards the development of data-driven approaches to guiding optimized placement of off-shore wind farms to maximize energy production while minimizing biological impact.
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In support of developing spatial explicit models that will serve as critical inputs to an open source platform designed to monitor extreme environmental events and advise the fishing sector on appropriate adaptive management strategies.
In support of developing spatial explicit models that will serve as critical inputs to an open source platform designed to monitor extreme environmental events and advise the fishing sector on appropriate adaptive management strategies.
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Towards improving the capacity of the AI Climate platform to use machine learning (ML) to identify socially vulnerable areas and predict and map flooding hazards, landslides, and land values in Honduras.
Towards improving the capacity of the AI Climate platform to use machine learning (ML) to identify socially vulnerable areas and predict and map flooding hazards, landslides, and land values in Honduras.
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