Data Practice Accelerator
Offers deep data and artificial intelligence strategy support for nonprofits through the Patrick J. McGovern Foundation.
The Patrick J. McGovern Foundation's Data Practice Accelerator is a rolling grant programme awarding up to $125,000 to nonprofits and social-impact organisations that are ready to invest in advanced data science and artificial intelligence capabilities. The programme is one of only two open competitive funding channels operated by PJMF β the other being the AI for Humanity Prize via MIT Solve. PJMβ¦
Funds nonprofits and social-impact organizations in building advanced data science and AI capabilities, providing up to $125,000 plus intensive technical support from PJMF data scientists and engineers.
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Guides for this application
All guides βGrant Budget Template for R&D Applications
Use this grant budget template to structure R&D costs, personnel, subcontractors, equipment, indirect costs, and budget justification for startup grant applications.
Write proposalGrant Proposal Sections: What Reviewers Expect in Each Part
A section-by-section guide to grant proposal format, project summaries, work plans, budgets, teams, letters of support, outcomes, and reviewer expectations.
Write proposalGrant Proposal Example: Sample Applications and What to Learn From Them
Learn how to use grant proposal examples, sample applications, and public funded proposals without copying weak structure or missing funder-specific rules.
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