This RFP seeks to answer a core question for the family planning field: can AI-enabled direct-to-consumer engagement improve contraceptive uptake, continuation, and informed method choice at scale - and, if so, which approach works best?
This challenge is designed to generate practical evidence on what high-quality, AI-assisted family planning engagement looks like in the AI era. We are interested in understanding which AI-enabled tools are most effective to engage users and improve contraception uptake and continuation. More specifically, we are interested in understanding which tools and approaches (e.g., content personalization, rapid content scaling, automated customer journeys, etc.) work best for which types of users to directly engage them and improve uptake and which platforms/tools have demonstrated less success for this objective. We do not expect applicants to arrive with platforms already proven for contraception; we welcome consumer engagement approaches with a demonstrated track record in women's health or consumer health more broadly, and ask applicants to deploy, test, and assess how well they work for family planning.
The challenge will focus on women and girls of reproductive age in sub-Saharan Africa. Interventions can be delivered through public sector platforms, private sector channels, or hybrid models.
Deadline: Aug. 25, 2026
This initiative is open globally to nonprofit organizations, for-profit companies, international organizations, government agencies and academic institutions. Multi stakeholder collaborations are encouraged. Individuals and organizations classified as individuals for U.S. tax purposes are not eligible to receive an award from the foundation as part of this initiative.
Sponsor Institute/Organizations: Gates (Bill & Melinda) Foundation
Sponsor Type:
Address: 2099 Pennsylvania Ave, NW Suite 200 Washington DC 20006 USA
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Aug 25, 2026
Aug 25, 2026
Varies
Affiliation: Gates (Bill & Melinda) Foundation
Address: 2099 Pennsylvania Ave, NW Suite 200 Washington DC 20006 USA
Website URL: https://www.gavi.org/our-alliance/about
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