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SUMMARY:AI-Enabled Consumer Engagement to Advance Family Planning - Internal Deadline
DESCRIPTION:AI-Enabled Consumer Engagement to Advance Family Planning\n\nThe objectives of this challenge are to:\n\n\n 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.\n 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.\n 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.\n 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.\n\n\nWe will consider proposals for awards of up to $500,000 USD for each project, with a grant term of up to 12 months\n\n\nInternal Application Deadline: Aug 05, 2026 \n\nUMFOD Details: https://research.ad.umanitoba.ca/mrt/pubapp/umfo_view.php?id=4384\n\nProgram URL: https://gcgh.grandchallenges.org/challenge/ai-enabled-consumer-engagement-advance-family-planning\nInternal Deadline
X-ALT-DESC;FMTTYPE=text/html:AI-Enabled Consumer Engagement to Advance Family Planning
The objectives of this challenge are to:
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.
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.
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.
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
Internal Application Deadline: Aug 05\, 2026
UMFOD Details: https://research.ad.umanitoba.ca/mrt/pubapp/umfo_view.php?id=4384
Program URL: https://gcgh.grandchallenges.org/challenge/ai-enabled-consumer-engagement-advance-family-planning
DTSTART:20260805T083000
DTEND:20260805T093000
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DESCRIPTION:Reminder for AI-Enabled Consumer Engagement to Advance Family Planning
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