AI-Enabled Consumer Engagement to Advance Family Planning

The objectives of this challenge are to:

1. Generate evidence on impact and scale. Demonstrate whether and how AI-enabled direct-to-consumer engagement improves contraceptive uptake, method continuation, and/or informed method choice at scale.
2. Identify the features of effective engagement. Determine which interaction characteristics, content strategies, personalization approaches, prompts, follow-up models, or conversation patterns are associated with stronger user outcomes.
3. Build a shared evidence base for AI-enabled family planning engagement. Produce labeled conversation examples, interaction taxonomies, quality rubrics, safety, confidentiality, and guardrail protocols, and/or other analytic tools that can help the field evaluate and improve AI-enabled consumer engagement beyond a single program or platform.
4. Assess cost, feasibility, and added value. Document the cost, operational requirements, feasibility, and comparative value of AI-enabled engagement relative to alternative consumer engagement or demand-generation models, including the conditions under which AI-enabled approaches are likely to add meaningful value.

We will consider proposals for awards of up to $500,000 USD for each project, with a grant term of up to 12 months