This month, Microsoft is celebrating our 50th anniversary. To help commemorate fifty years of creating technology that empowers people to achieve more, our AI for Good Lab launched an open call to support innovative AI-based projects here in Washington State.
Our AI for Good Lab has been using AI to tackle global challenges and improve lives since 2018. We open-source our models, data, and tools so everyone can jump in, working together to make real impact. At a time when nonprofits, NGOs, and academic institutions are tasked with doing more with less, technology like AI offers a way forward.
Through these awards, we’re investing $5 million over the next two years. This open call allows us to expand our commitments to a number of amazing projects while engaging a wide range of new organizations across the state of Washington. The 20 awardees will receive Microsoft Azure credits and the ability to collaborate with AI for Good Lab scientists.
We’re thrilled to continue to cultivate relationships with innovative partners in this great state and the world at large. These game-changing organizations and projects are not only helping solve today’s challenges, they’re also paving the way for a brighter tomorrow. We are honored to share the following as our 2025 open call awardees.
Sustainability
- Awardee: Stock-Smart.com – Washington State University Extension
Project description: Washington State’s federal, state, tribal, and private land managers and livestock grazers are all beginning to use virtual fence systems to fine-tune ecological grazing management. Stock-Smart.com combines predicted livestock terrain use with satellite-based forage production data to inform grazing plans for livestock herds. By using AI-guided interpretation of virtual fence system geolocation data, Stock-Smart.com helps reduce wildfire risk, enhance wildlife habitats, and improve invasive species control. - Awardee: Long Live the Kings
Project description: In the Puget Sound, the impacts of rapid urbanization are compounded by climate change. Long Live the Kings employs AI and machine learning to automatically calibrate a 3D ecosystem modeling program for Puget Sound. This project will use the emulator to explore how cumulative watershed impacts affect ecosystem services and biodiversity to advance natural resource management in Puget Sound. - Awardee: TealWaters
Project description: TealWaters works to transform Washington State’s water management capacity by providing tools that inform and guide wetlands planning, protection, and restoration. TealWaters plans to support AI model testing beyond the scope of its existing tools to increase communities’ resilience to climate change and environmental stressors. - Awardee: Washington State University
Project description: Climate change puts residents of Washington State at higher risk of dangerous wildfires. This project will develop cutting-edge AI models, fusing satellite imagery, weather data, building information, and wildfire simulation results to assess wildfire vulnerability of residential buildings in Washington State. By producing vulnerability assessments that include confidence scores, this multi-modal approach can help guide effective wildfire mitigation efforts. - Awardee: Cornell University, Circular Construction Lab
Project description: Reusing materials is the most effective circular economy strategy: it reduces waste and emissions, creates local green jobs, and supports local reuse ecosystems. AR3-Lumber aims to develop and implement AI-powered technology to reuse salvaged lumber through a local partnership with the Seattle Salvaged Lumber Warehouse. This project will enable AR3-Lumber to offer essential technical and methodological support to the circular lumber economy. - Awardee: Woodland Park Zoo
Project description: The Seattle Urban Carnivore Project aims to increase our understanding of and empathy for urban carnivores such as black bears by studying how these species live and interact with people across the greater Seattle region. This project will include a wildlife camera and bioacoustics monitoring program that collects data from green spaces across central King County and Bainbridge Island, utilizing AI to identify the diversity and density of species in urban corridors in a way that’s efficient and consumes fewer resources. - Awardee: Conservation X Labs
Project description: Conservation X Labs aims to prevent the sixth mass extinction by creating and democratizing innovative technologies to change what’s possible in conservation. The project will develop and deploy a multi-species management detection algorithm on a smart camera system to create a first –of –its –kind, real-time monitoring system for disease in wildlife that can be utilized by veterinarians, ecologists, and conservationists across Washington State. - Awardee: NOAA-National Marine Fisheries Service – Habitat Conservation
Project description: Current methods of water management and salmon habitat restoration in the Columbia River Basin tend to be either hyper-localized or computationally intensive. This project aims to use remote sensing and machine learning to classify wetlands to better predict how water management decisions and climate change impact salmon populations and support more effective conservation strategies. - Awardee: Information Communication and Technology for Development (ICTD) at the University of Washington
Project description: More plant and animal species are threatened with extinction now than at any other time in human history. The Information Communication and Technology for Development department at the University of Washington plans to monitor wildlife using audiovisual channels on tiny compute devices, fostering a better understanding of animal populations intricately linked to food safety, disease spread, and biodiversity.
Health
- Awardee: Virufy
Project description: Older adults in assisted living, senior care homes, and long-term care facilities are particularly vulnerable to respiratory infections. This project aims to develop an AI-powered screening tool to detect pneumonia in older adults living in residential care facilities across Washington State. The tool will enable real-time data analysis and scalable deployment in various care settings, enhancing healthcare outcomes and quality of life for vulnerable populations. - Awardee: Providence
Project description: Current methods for identifying patients for clinical trials rely on manual screening processes that miss many patients—especially those from underserved communities—or rely on sick patients and their doctors to do the work of seeking available trials. Providence and Microsoft Health Futures are collaboratively developing Trial Connect, an AI tool that scans population-level medical data across Washington State to identify patients who qualify for clinical trials that could save their lives. - Awardee: Institute for Health Metrics and Evaluation
Project description: Data from the Institute for Health Metrics and Evaluation (IHME) are used by more than 13,000 researchers around the world. IHME plans to build a global cloud laboratory to examine health locally, using satellite imagery, AI, and spatial demography to predict risks like drought and food insecurity to specific populations. This project aims to put actionable, population-level health data into the hands of decision-makers to improve individuals’ health and wellbeing. - Awardee: University of Washington Radiology
Project description: To improve public health and support patients in their most challenging moments, the University of Washington created self-improving large language models to translate radiology report findings into patient-friendly language. Patients will receive clear, lay-language explanations of their imaging results while healthcare providers provide feedback that will be used to refine the model, ensuring continuous improvement, reducing misunderstandings, and fostering better communication between patients and medical professionals. - Awardee: Institute for Protein Design – University of Washington
Project description: Generative AI has already had a large impact ion protein structure prediction and protein design. This project aims to develop at least three specialized, open-source models, including a next-generation biomolecule design model, a model specialized for antibody/antigen structure and antibody design, and a model specialized for protein/ligand interactions to enable the next generation of therapeutics and biomaterials. - Awardee: Washington State University Department of Chemistry
Project description: Heavy and radioactive metal contamination in Spokane and Hanford threatens community health. This project will leverage geochemistry and large language models to build a publicly accessible dataset that will aid in designing effective soil decontamination methods for Spokane and Hanford, contributing to a cleaner, healthier environment for Washington residents.Education/Public Good
- Awardee: Washington State University
Project description: Rural elementary teachers in Washington often struggle to design high-quality science assessments due to limitations around resources, professional development opportunities, and access to technology. This project will develop and deploy an AI-powered multi-agent assessment system to empower rural Washington elementary teachers and enhance accessibility, engagement, and instructional effectiveness. - Awardee: Evergreen Goodwill of Northwest Washington
Project description: Rising labor and business costs have reduced the ability for Evergreen Goodwill to advance their mission of providing quality, free job training and basic education to people experiencing significant barriers to economic opportunity. The project will use an AI-powered automated donation ingestion and cataloging system to tackle the backlogged volumes of donated goods received by Evergreen Goodwill. By doing so, the project will reduce waste, increase efficiency, and unlock new opportunities for scale and profitability. - Awardee: Washington State University – Group Argumentation Coordinator
Project description: This project provides science teachers in Washington State with an AI-powered tool called a Group Argumentation Coordinator that will reduce the burden on overwhelmed teachers and improve students’ learning experience in science classrooms across the state. The project promotes real-time support for argumentation-based science learning in diverse classrooms. The two-year plan supported by this award focuses on system development, small-scale classroom pilots, and teacher feedback integration to ensure usability, fairness, and transparency.
- Awardee: Washington State University – WARNS
Project description: The Washington Assessment of Risk and Needs of Students (WARNS) has effectively assessed the needs critical to healthy social, emotional, and educational development of middle school and high school students across the state. This project will develop an elementary-level version of this assessment, leveraging large language models to reduce absenteeism and prevent dropouts among elementary school students by initiating a dialogue with students about what they need to thrive in the classroom. - Awardee: Big Brothers Big Sisters of Puget Sound
Project description: The Puget Sound branch of Big Brothers Big Sisters is faced with the challenge of a 100 –day-long waitlist for families looking to participate in their mentorship program. Through a partnership with KPMG and Microsoft, Big Brothers Big Sisters developed an AI tool, AIMRE, to process large datasets on their waitlist and increase both the quality and timeliness of youth/mentor matches. This award will allow Big Brothers Big Sisters to conduct further testing and deploy AIMRE locally, eventually scaling nationally to speed up the matching process for kids across the country.
We’re thrilled to support these 20 projects in their efforts to harness the transformative power of AI to solve challenges across Washington State and beyond.