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Lacuna Fund is a first-of-its-kind multi-funder collaboration formed in 2020 (and transferred to Global South leadership in July 2025) to fill gaps in data used to train Machine Learning models, making ML and AI more representative, accurate, equitable, and accessible to underserved communities worldwide.
The Fund supports grantees to create high-quality, openly accessible machine-learning datasets that serve urgent problems in Africa, Asia, and Latin America across four thematic areas: agriculture (crop monitoring, smallholder farming, soil and weather datasets); language (low-resource language NLP datasets, including text, speech, and machine translation across 29+ African languages and indigenous Latin American languages); health (clinical AI datasets, disease surveillance, epidemiology); and climate (climate adaptation, weather prediction, ecosystem monitoring).
Following the July 2025 leadership transition, the Fund is now governed by ACTS (African Centre for Technology Studies), CENIA (Chile's National Centre for AI), Masakhane, and the University of Pretoria's Data Science for Social Impact Research Group — putting Global South institutions firmly in control of priorities, calls, and grantmaking decisions.
Calls are issued in cohorts by thematic area; the 2026 cohort emphasizes climate datasets and continued investment in African language NLP.
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Search similar grants →Based on current listing details, eligibility includes: Open to researchers, civil society organizations, academic institutions, government bodies, and tech-for-good entities based in or working in partnership with Africa, Asia, and Latin America. Strong preference for teams led by or substantively involving researchers from the regions being studied. All resulting datasets must be openly licensed and widely accessible. Multi-disciplinary teams combining domain expertise (e.g., agronomists, public health practitioners, linguists) with ML/data science expertise prioritized. Applicants should confirm final requirements in the official notice before submission.
Current published award information indicates Individual grant awards typically $100,000 to $300,000 USD per project, with cohort-level investments of $1M+ across thematic focus areas. Lacuna Fund has invested over $10 million since 2020 enabling creation of 75+ new ML datasets across Africa, Asia, and Latin America. Always verify allowable costs, matching requirements, and funding caps directly in the sponsor documentation.
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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.
Semi-Annual Competitive Grants is sponsored by Robert G Iii And Maude Morgan Cabell Foundation. The foundation provides grants primarily for permanent capital projects such as building acquisition, construction, renovation, and technology infrastructure. It favors focused, strategic support rather than token grants and typically awards funding on a challenge or match basis to stimulate broad community support. The application is a two-stage process beginning with a mandatory Contact Form followed by an invitation for a full application. Geographic focus: Virginia (preference for Richmond metropolitan region) Focus areas: Cultural Arts, Historic Preservation, Environment and Conservation, Community Development, Higher Education Infrastructure, Social Services, Health