Mobilizing funding for labeled datasets that solve urgent problems
We mobilize funding for labeled datasets that solve urgent problems in low- and middle-income contexts globally
Machine learning has shown great potential to address critical needs, but in low- and middle-income contexts globally, a lack of unbiased, labeled data puts the benefits out of reach. Lacuna Fund is the world's first collaborative effort to directly address this problem.
Guided by machine learning professionals worldwide, Lacuna Fund will provide data scientists, researchers, and social entrepreneurs with the resources they need to either produce new labeled datasets to address an underserved population or problem, augment existing datasets to be more representative, or update old datasets to be more sustainable.
Lacuna Fund grants in four domain areas with key data needs.
Lacuna Fund began as a funder collaborative between The Rockefeller Foundation, Google.org, and Canada's International Development Research Centre, but it has since evolved into a multi-stakeholder engagement supported by a range of development, philanthropic, and research institutions.
“Labeled data is the fuel for machine learning. We're proud to launch Lacuna Fund to give the next generation of engineers and scientists worldwide the fuel they need to build tools that strengthen agriculture systems, support health decisions, and enable natural language processing.”
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