Grant Opportunities

This Grand Challenge seeks innovations that can substantially increase the number of children treated per dollar spent by reducing the total cost per child treated, without changing the ex-factory price of RUTF or substituting RUTF with an alternative product. This initiative is designed as an idea-sourcing and proof-of-concept mechanism to identify transformative, system-level innovations.

We seek solutions that can accelerate identification and early validation of interventions (novel or repurposed), including drug-based, biologic, dietary, and microbiome-informed approaches, that modulate inflammatory and or oxidative stress processes in the placenta-maternal gut axis, with the potential to improve fetal growth outcomes. We encourage applicants to pair ambitious ideas with a feasible plan to generate decision-grade evidence within the award duration.

Artificial intelligence (AI) is advancing rapidly, reshaping how people access information, make decisions, and engage with the world. For philanthropy, this creates an opportunity to rethink how AI can help donors discover causes and move from interest to action at moments when it matters most. To explore this opportunity, PPT is launching the AI to Accelerate Charitable Giving Fund to explore how AI can strengthen philanthropic practice and unlock new possibilities for generosity. The fund aims to enhance human decision-making with AI-powered tools, data, and insights that help donors give more and give sooner.

We define cost-disruptive tools for diagnosis and screening as approaches that target less than US$1 or devices with negligible incremental cost per use. For screening applications, cost targets should be interpreted per person screened; for diagnostic or monitoring applications, per test performed. Accordingly, this initiative aims to translate these cost-disruptive concepts into scalable solutions across high-priority disease areas.

This Grand Challenge seeks both devices that amortize capital to near-zero incremental cost and consumable $1-class tests that materially reset the cost curve in LMICs while meeting real-world point-of-care constraints.

This Grand Challenge seeks innovations that can substantially increase the number of children treated for Severe Acute Malnutrition (SAM) per dollar of spend. We are interested in solutions that achieve step-change improvements in economics by reducing the cost of Ready-to-Use Therapeutic Food (RUTF). Another Grand Challenges RFP looks at reducing the total cost of treating a child without changing the unit cost of RUTF or using a RUTF alternative.

We are soliciting applications that advance innovative approaches to better understand, measure, and mitigate infection, inflammation- and microbiome-mediated constraints that limit the impact of fortification interventions. The goal is to overcome key biological barriers and unlock the full potential of fortification programs to accelerate equitable gains in nutrition and health.

The Evidence for AI in Health's (EVAH) first request for proposals (RFP) is now open, supporting locally-led evaluations of AI-enabled decision support tools that are ready for real-world use and designed to assist frontline workers with clinical tasks - such as triage, diagnosis, or referral - within primary and community health care settings in Sub-Saharan Africa, South Asia, and Southeast Asia.