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The Patrick J. McGovern Foundation Data Practice Accelerator supports nonprofits working with complex datasets and analytical approaches to drive social impact. Selected cohort members receive up to $125,000 in funding plus intensive technical support including access to advanced data tools, industry-standard guidance from data scientists, engineers, and program managers.
The program's goal is to de-risk learning by creating a space for nonprofits to build capacity for advanced data management, analytics, AI tools, and governance approaches. Previous cohorts focused on themes like Data at the Nexus of Climate and Health. The program operates on a cohort-based model with curated peer-to-peer learning.
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Search similar grants →Based on current listing details, eligibility includes: Nonprofits with complex datasets seeking to advance their data and AI capabilities. Organizations must demonstrate commitment to shared learning and peer engagement. Global eligibility. Applicants should confirm final requirements in the official notice before submission.
Current published award information indicates Up to $125,000 in grant funding plus 50-60 hours of in-kind data science and engineering support from the Foundation's in-house team over a one-year grant period. Always verify allowable costs, matching requirements, and funding caps directly in the sponsor documentation.
The current target date is July 1, 2026. Build your timeline backwards from this date to cover registrations, approvals, attachments, and final submission checks.
Federal grant success rates typically range from 10-30%, varying by agency and program. Build a strong proposal with clear objectives, measurable outcomes, and a well-justified budget to improve your chances.
Requirements vary by sponsor, but typically include a project narrative, budget justification, organizational capability statement, and key personnel CVs. Check the official notice for the complete list of required attachments.
Yes — AI tools like Granted can help research funders, draft proposal sections, and check compliance. However, always review and customize AI-generated content to reflect your organization's unique strengths and the specific requirements of the solicitation.
Review timelines vary by funder. Federal agencies typically take 3-6 months from submission to award notification. Foundation grants may be faster, often 1-3 months. Check the program's timeline in the official solicitation for specific dates.
Many federal programs offer multi-year funding or allow competitive renewals. Check the official solicitation for continuation and renewal policies. Non-competing continuation applications are common for multi-year awards.
AI for Humanity Prize is a $200,000 prize competition from the Patrick J. McGovern Foundation, administered through MIT Solve, that recognizes and funds breakthrough AI solutions designed to benefit humanity. The prize is structured within the MIT Solve challenge framework, which sources technology-driven innovations across focus areas including climate, health, learning, and economic opportunity. Innovators and organizations developing AI applications with measurable social impact are eligible to apply. The 2026 prize deadline is May 21, 2026. Winners receive funding alongside access to MIT Solve's global network of partners, mentors, and scale-up resources.
Patrick J. McGovern Foundation Data Practice Accelerator Program is a grant from the Patrick J. McGovern Foundation that funds nonprofits and social impact organizations seeking to advance their data science and AI capabilities to create transformational change. The program builds technical capacity and data-use culture at organizations working on humanity's greatest challenges, enabling them to leverage data and AI tools purposefully and ethically. Grants of up to $125,000 are available for nonprofits with complex datasets and readiness to deepen their data practice. The program prioritizes organizations where improved data use could drive significant social impact. Applications are accepted on a rolling basis with a current deadline of July 1, 2026. Eligible applicants are nonprofits with existing data assets seeking structured support to advance their analytical capabilities.
The Patrick J. McGovern Foundation Data Practice Accelerator provides grants of up to $125,000 to nonprofits with complex datasets that are ready to deepen their data practice and build toward AI readiness. This program is distinct from the foundation's larger AI Fluency and Capacity Building grants ($100K-$750K) and focuses specifically on helping organizations develop the data infrastructure, skills, and practices needed to responsibly adopt AI tools. The accelerator supports organizations across the foundation's priority areas including climate action, health equity, economic solidarity, human rights, and crisis response. Applications are accepted on a rolling basis with a current deadline of July 1, 2026. The McGovern Foundation, with $1.6+ billion in assets and $75.8 million in FY2025 charitable spend, is one of the largest private funders of AI-for-good initiatives globally.
The Kavli Foundation sponsors an AI-for-Science Postdoctoral Fellowship through FutureHouse's Independent Postdoctoral Fellowship program, supporting one fellow per cohort to pursue an independent, AI-enabled research project in neuroscience. The fellowship provides a $125,000 annual stipend plus comprehensive benefits, travel allowance for conferences, dedicated software engineering support for building AI research tools, access to advanced computational resources (GPU clusters and cloud computing), and wet lab access for experimental validation. Fellows work in collaboration with an advisor or co-advisor who is a member of a Kavli Institute, pursuing bold, curiosity-driven projects in neuroscience ranging from molecular and cellular mechanisms to systems-level understanding of the brain. The fellowship begins September 2026 and runs for one year with a possible one-year extension. Research areas include AI-driven analysis of brain imaging data, machine learning for neural circuit mapping, computational neuroscience models, AI tools for analyzing large-scale neural recordings, and deep learning applied to connectomics and brain-computer interfaces.
Healthy School Awards Program is sponsored by Blue Cross & Blue Shield Of Mississippi Foundation. Recognizes and rewards public K-12 schools in Mississippi that encourage healthy lifestyle behaviors and implement exemplary school health and wellness initiatives. Awards are given in categories based on school enrollment size, with one school designated as the Healthiest School in Mississippi. Geographic focus: Mississippi Focus areas: Healthy Eating, Physical Activity, Staff Wellness, Tobacco-Free Lifestyles