2026 Humanities and Artificial Intelligence Virtual Institute (HAVI) RFP (Discontinued)

The John Templeton Foundation's 2026 Online Funding Inquiry (OFI) cycle prioritizes projects exploring intelligences across natural, human, and artificial systems. Funded AI-relevant scope includes the science of intelligence and cognition, philosophical and ethical foundations of AI, comparative intelligence research (human, animal, machine), human flourishing in an AI-mediated world, foundations of trust and value alignment, and AI's implications for meaning, agency, virtue, and religious traditions. Two competitive OFI cycles per year; successful inquiries are invited to submit full proposals.

The ADDF-Harrington Scholar Program identifies and accelerates promising drug discovery research for Alzheimer's disease and related dementias, with explicit support for AI/ML-enabled approaches including generative AI for novel drug candidate identification, deep learning for target validation, AI-driven repurposing of approved drugs, and computational platforms for amyloid and tau pathology. Scholars receive a 2-year grant of $600K plus comprehensive drug development expertise from the Harrington Discovery Institute and ADDF's Drug Development Accelerator. Optional follow-on investment through ADDF's venture arm. Strong fit for academic investigators with promising preclinical leads, AI-enabled drug discovery platforms, or novel computational therapeutic approaches.

The Mozilla Foundation Fellows Program supports tomorrow's tech leaders working at the intersection of trustworthy AI, open source, and public interest technology. Mozilla Fellows pursue projects on AI auditing, algorithmic accountability, open source AI infrastructure, AI and democracy, content moderation governance, AI policy research, and bias and harm in machine learning systems. Fellows are embedded with host organizations (universities, NGOs, advocacy groups, news organizations) and receive a stipend plus a network of peers and amplification support. Mozilla has invested over $35 million across the last decade in building a better technology future. The 2026 cohort prioritizes Trustworthy AI and information ecosystem resilience.

Schmidt Sciences' AI in Science and Society initiative funds development of innovative AI tools that accelerate progress in engineering, physical sciences, and complex system design while also examining AI's societal implications. Funded scope includes domain-adapted foundation models for engineering and physical sciences, generative AI for materials discovery and molecular design, AI for complex system simulation and control, autonomous experimental platforms, and interdisciplinary projects bridging AI methods with deep scientific domains. The program also supports work on the societal context of scientific AI including responsible release, equitable access, and human-AI collaboration in scientific practice.

The AI2050 Early Career Fellows program supports bold and ambitious work on difficult challenges as well as promising opportunities in AI. Fellows receive funding plus non-monetary support, such as connections to stakeholders to help them amplify impact. The program selects 15-20 early-career researchers around the world annually through a rigorous process. Research is framed by the central question: 'It's 2050. AI has turned out to be hugely beneficial to society. What happened?' Recent cohorts have included researchers across computer science, philosophy, economics, political science, earth sciences, and humanities working on AI safety, AI policy, fairness, AI for science, sociotechnical AI, and human-AI interaction. The 2025 round awarded $18M across 25 fellows.

Schmidt Sciences' AI Impact on Jobs program supports rigorous interdisciplinary research on how generative AI and AI agents are reshaping employment, occupational tasks, wages, productivity, and labor markets. Funded scope includes empirical measurement of AI adoption across industries and occupations, task-level analyses of AI capabilities and displacement, longitudinal studies of worker outcomes, AI's effects on inequality and labor market polarization, evaluation of reskilling and transition programs, AI's role in entrepreneurship and small business productivity, and policy-relevant work on social safety nets and labor regulation in an AI economy.

Path to a Cure Research Grant is a grant from Cystic Fibrosis Foundation that funds basic science research aimed at restoring CFTR protein function or developing gene-based approaches to treat cystic fibrosis. The program specifically targets projects proposing restoration of CFTR protein function or approaches to fix or replace the defective CFTR gene. Awards provide up to $150,000 per year (plus 12% indirect costs) for up to two years, with grants competitively renewable for additional funding. Eligible applicants are independent investigators at for-profit and nonprofit institutions. Proposals must be hypothesis-driven with sufficient preliminary data. The fall cycle deadline is November 15, 2026.

The Sloan Foundation's exploratory grantmaking in Technology supports the development and adoption of AI tools that accelerate scientific research and automate aspects of the scientific process. Funded scope includes foundation models for science (chemistry, biology, materials, physics), AI lab automation and self-driving laboratories, AI-driven literature review and synthesis tools, machine learning for experimental design, scientific reasoning and hypothesis generation in LLMs, and infrastructure for open scientific AI. The exploratory program identifies emerging sectors, tools, and methods with high potential that may not yet attract mainstream funding, prioritizing interdisciplinary risk-taking work.