The Evidence for AI in Health (EVAH) initiative is a US$60 million joint investment by the Bill and Melinda Gates Foundation Novo Nordisk Foundation and Wellcome Trust to support locally led evaluations of AI health tools in low- and middle-income countries. Representing the second investment from a US$300 million global health research partnership established in 2024 the program funds rigorous evaluations of AI-enabled clinical decision support tools designed for frontline healthcare workers in primary and community health settings. Funded evaluations include randomized controlled trials implementation science studies economic feasibility analyses and public health acceptance assessments of AI tools that feature machine learning computer vision or large language models trained on representative data for resource-constrained environments. The program focuses on triage diagnosis and referral functions in Sub-Saharan Africa South Asia and Southeast Asia. Implementation is managed by the Abdul Latif Jameel Poverty Action Lab (J-PAL) and the African Population and Health Research Center (APHRC). This is distinct from OpenAI mental health research grants and from Stanford AIMI-HAI which fund US-based AI healthcare research.

The Evidence for AI in Health (EVAH) initiative is a $60 million joint investment by the Gates Foundation, Novo Nordisk Foundation, and Wellcome Trust to support rigorous, country-led evaluations of AI health tools in low- and middle-income countries. Delivered in partnership with J-PAL and the African Population and Health Research Center, EVAH funds evaluations of AI-enabled clinical decision support tools in primary and community healthcare settings across Sub-Saharan Africa, South Asia, and Southeast Asia. Pathway A supports early-deployment evaluations focusing on usability, workflow integration, and safety for up to $1 million. Pathway B funds randomized controlled trials, economic analyses, and implementation science studies of tools ready for deployment at scale for up to $3 million. The initiative addresses a critical evidence gap about whether AI diagnostic and clinical decision support tools actually improve health outcomes in resource-limited settings.

The Gates Foundation AI Fellowship 2026 is a fully funded 12-month program for AI researchers and engineers to work on global health and development challenges using artificial intelligence. Five focus areas: AI in Global Health (maternal and fetal health prediction, disease diagnosis), AI for Agriculture (climate risk prediction, farmer guidance tools), AI for Immunization (service gap identification, vaccine planning), AI in Drug Discovery (molecular design, genomic data integration), and Rapid AI Prototyping (chatbots and scalable health and agriculture solutions). Fellows work on real-world AI applications with direct impact on underserved populations. Based in India.

The Bureau of International Labor Affairs (ILAB), U.S. Department of Labor (USDOL, or the Department), announces the availability of approximately $9 million total costs (subject to the availability of Federal funds) for 2 cooperative agreements aimed at securing fair and reliable critical mineral supply chains free of child labor (CL) and forced labor (FL). ILAB intends to fund one cooperative agreement of up to $5 million in the Democratic Republic of Congo (DRC) and one cooperative agreement of up to $4 million in Indonesia. The duration of each project will be 54 months from the award date. Applicants may propose a shorter period of performance in line with their proposed strategy. Applicants may choose to apply for one or both cooperative agreements. Applicants that wish to apply for both Cooperative Agreements must submit two distinct applications.The cooperative agreements will be focused on the supply chains of critical minerals identified in the List of Goods Produced by Child Labor or Forced Labor, published by the Department of Labor as required under the Trafficking Victims Protection Reauthorization Act of 2005 and subsequent reauthorizations (TVPRA List). Applications must propose a strategy to address CL and/or FL in the supply chains of at least one (1) of the following minerals in one (1) of the following countries:• DRC: Cobalt, copper, tantalum, tin, and/or tungsten.• Indonesia: Nickel, with the option to also include tin.Applicants must propose to work with key stakeholders to identify and address child labor and/or forced labor, and related labor abuses in their proposed country of implementation. Applicants must propose a strategy to conduct activities under each of the following two focus areas:Focus Area 1: Policy and Legal Frameworks. Applicants will propose a strategy to assist partner governments and supply chain actors to bring their mining, labor, procurement, trade rules, and other relevant policy frameworks into full alignment with international standards, particularly U.S. forced-labor import requirements, International Labor Organization conventions, and other due diligence guidelines and best practices.0F1Focus Area 2: Capacity Building for Monitoring, Identification, Enforcement, and Remediation. Applicants will propose a strategy to improve national and local systems for monitoring and identifying child labor and/or forced labor in critical mineral supply chains. Applicants must also propose a strategy to strengthen public and private sector entities responsible for addressing child labor and/or forced labor in critical mineral supply chains through enforcement actions and through remediation measures for children and individuals placed in conditions of child labor and/or forced labor.In addition to work under the two Focus Areas outlined above, applicants must propose a strategy to conduct a supply chain research study and produce a final report in close coordination with ILAB. Applicants should plan to produce a final research product within the first three years of the project period of performance. Funding Opportunity Number: FOA-ILAB-25-15. Assistance Listing: 17.401. Funding Instrument: CA. Category: O. Award Amount: $4M – $5M per award.