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Funders

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. Collectively, we are committed to creating and mobilizing labeled datasets that both solve urgent local problems and lead to a step change in machine learning’s potential worldwide.

Governance

This project is part of a global IDRC-funded initiative on AI for Global Health

German Federal Ministry for Economic Cooperation and Development (BMZ)

“FAIR Forward – Artificial Intelligence for All” is a German Development Cooperation initiative striving for a more open, inclusive and sustainable approach to AI on an international level. It is funded by Germany’s national AI strategy, and assists partner countries in building sustainable AI ecosystems, focusing on skills & education, access to AI training data and the development of ethical AI policies. In doing so, FAIR Forward supports the provision of open, non-discriminatory and inclusive training data and open-source AI applications, especially in local languages to empower marginalized groups.

Google.org

Google.org brings the best of Google to help solve some of humanity’s biggest challenges – combining funding, innovation, and technical expertise to support underserved communities and provide opportunity for everyone.

Gordon and Betty Moore Foundation

The Gordon and Betty Moore Foundation fosters path-breaking scientific discovery, environmental conservation, patient care improvements and preservation of the special character of the Bay Area.

International Development Research Centre

The International Development Research Centre (IDRC) funds research in the Global South to promote growth, reduce poverty, and drive large-scale positive change. As part of Canada’s foreign affairs and development efforts, we are a Crown corporation that provides leading thinkers the resources, advice, and training they need to implement and share their solutions with those who need them most. In short, IDRC increases opportunities — and makes a real difference in people’s lives.

Patrick J. McGovern Foundation

The Patrick J. McGovern Foundation is a global philanthropy dedicated to advancing AI and data science solutions to create a thriving, equitable, and sustainable future for all. The Foundation’s work focuses on bringing together academia, practitioners, and civil society to pursue the potential of AI and data science to address some of the world’s most urgent challenges.

The Robert Wood Johnson Foundation

The Robert Wood Johnson Foundation (RWJF) is committed to improving health and health equity in the United States. In partnership with others, we are working to develop a Culture of Health rooted in equity that provides every individual with a fair and just opportunity to thrive, no matter who they are, where they live, or how much money they have.

The Rockefeller Foundation

The Rockefeller Foundation advances new frontiers of science, data, policy and innovation to solve global challenges related to health, food, power and economic mobility. As a science-driven philanthropy focused on building collaborative relationships with partners and grantees, the Foundation seeks to inspire and foster large-scale human impact that promotes the well-being of humanity throughout the world by identifying and accelerating breakthrough solutions, ideas and conversations.

Wellcome Trust

The Wellcome Trust is a global charitable foundation, driven by a mission to ensure everyone benefits from science’s potential to improve health and save lives. Wellcome’s Data for Science and Health (DSH) program was set up with the explicit ambition of putting trust into practice through changing how data and software in health are funded, developed and governed. By supporting open source, foundational data and software tools, with a focus on usability, adoption and long-term sustainability, DSH wants to make it easier and more equitable for data scientists globally to innovate with health data.