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The Laude Institute Moonshots Program is a research competition asking how AI should be used to solve humanity's hardest problems, structured as a two-stage tournament rather than a conventional grant round. In the inaugural Moonshots ONE cycle, eight university teams were selected from 125 proposals submitted by approximately 600 researchers across 47 institutions, each receiving a 250,000 dollar seed grant.
Seed grantees then develop a full proposal for a selection committee, which awards one team a 10 million dollar grant to establish a three-to-five-year Moonshot lab. Seed grants were announced in April 2026 across four areas of broad societal impact: civic discourse, scientific discovery, frontline healthcare and workforce reskilling.
Funded projects illustrate the breadth the institute is willing to consider, including a University of Chicago Data Science Institute project on actionable AI weather forecasting for developing economies in Africa and Asia, a Cornell-led effort to restore trust in the digital public sphere, and a UCLA computer science project.
The programme is notable for funding university teams at a scale and with a concentration that few philanthropic AI funders match, and for explicitly organising around societal problem areas rather than AI research subfields, which means a proposal is judged on the significance of the problem and the credibility of the AI approach to it rather than on methodological novelty.
As of the latest available information the institute had not published an application timeline for a second Moonshots round, so interested teams should monitor moonshots. laude. org.
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Or search similar grants →According to the current listing, eligibility includes: Applications in the inaugural round came from university-based research teams, with 600 researchers across 47 institutions submitting 125 proposals, indicating that the competition is open to academic teams broadly rather than restricted to a pre-selected group. Proposals must fall within areas of broad societal impact; the inaugural round named civic discourse, scientific discovery, frontline healthcare and workforce reskilling, and applicants should expect the themes to be restated or revised for any subsequent round. Selection is two-stage: finalists receive a 250,000 dollar seed grant and then submit a fully developed proposal to a selection committee, with one team receiving 10 million dollars to establish a Moonshot lab running three to five years. Teams should therefore be prepared not only to compete twice but to stand up and staff a multi-year laboratory if they win, which makes institutional backing on space, hiring and indirect cost treatment a practical prerequisite. Interdisciplinary teams pairing AI researchers with domain experts in the target problem area are the evident pattern among inaugural winners, and a proposal from AI researchers without credible domain partners is unlikely to be competitive. No application timeline for a subsequent round had been published as of the latest available information; prospective applicants should monitor moonshots.laude.org and laude.org/updates for the announcement of the next cycle. Confirm the full requirements in the official notice before applying.
The current listing shows the programme runs a two-stage funding structure and the range reflects both stages: amount_min is 250,000 US dollars, the seed grant awarded to each finalist team, and amount_max is 10,000,000 dollars, the single large award made to the winning team to establish a three-to-five-year Moonshot lab. Eight teams received 250,000 dollar seed grants in the inaugural Moonshots ONE round, selected from 125 proposals submitted by roughly 600 researchers across 47 institutions, a success rate near 6 percent at the seed stage and far lower for the 10 million dollar prize. The structure is a tournament rather than a conventional grant round, and the practical implication is that the seed grant is not the objective: it funds the preparation of a fully developed proposal for the final selection committee, so teams should assess whether they can commit to an intensive proposal development cycle and, if they win, to standing up a multi-year lab. Verify award ceilings, matching requirements, and allowable costs in the official notice.
Laude Institute Moonshots Program: Seed Grants and $10 Million Moonshot Lab Award for AI Applied to Society's Hardest Problems is funded by Laude Institute. Verify program details on the funder's official page before applying.
Start from the official opportunity page linked in this listing — it carries the sponsor's submission instructions.
The AI Safety Policy Entrepreneurship Fellowship is FAS's route for turning technical and domain expertise into frontier AI safety policy that actually moves. It is a part-time hybrid programme running 30 September 2026 to 28 February 2027, with applications due 7 September 2026, and it pays a USD 5,000 stipend plus up to USD 1,000 as a merit award. Fellows commit roughly five hours a week to developing a policy memo on a specific AI safety challenge, attend training sessions, join an in-person retreat in California from 4 to 7 November 2026, and present at a capstone event in Washington DC during the week of 22 February 2027. The design target is explicit and unusual: it recruits early- to mid-career professionals who have limited direct public policy experience but deep expertise elsewhere - technical AI research, academia, think tanks, civil society, industry, law, cybersecurity and national security - and teaches them the mechanics of getting an idea adopted. Selection weighs clear understanding of AI governance challenges, concrete implementation-oriented solutions rather than broad principles, awareness of which stakeholders must be moved, and a credible commitment to translating expertise into policy outcomes. Because the stipend is modest and the time commitment part-time, this is designed to sit alongside an existing job rather than replace one.
The Climate Change AI Innovation Grants program supports projects that address research and deployment challenges in climate change mitigation, adaptation, and climate science by leveraging AI and machine learning, while also creating publicly available datasets and tools to catalyze further work. The program enables key partnerships that accelerate the research-to-deployment cycle, creating synergies between academic researchers, nonprofits, startups and other companies, and governmental or intergovernmental organizations. Funded by the Quadrature Climate Foundation, Schmidt Futures, and Google DeepMind, with Future Earth serving as fiscal sponsor, this is one of the few dedicated grant programs specifically targeting the intersection of AI/ML and climate change. Projects typically involve climate modeling, weather prediction, emissions monitoring, energy optimization, biodiversity monitoring, and other environmental applications of machine learning. The 2026 competition opens with a full proposal deadline of September 15, 2026. The program has grown steadily since its inception, funding 23 projects to date across diverse climate domains and geographies.
The Climate Change AI Innovation Grants program supports catalytic projects using AI and machine learning for climate action, funding research and deployment challenges in climate change mitigation, adaptation, and climate science. Projects must create publicly available datasets and tools as digital public goods, and release open-source code. The program builds partnerships between academic researchers, non-profits, startups, companies, and governmental organizations to accelerate the research-to-deployment cycle. Past funded projects span climate modeling, emissions monitoring, renewable energy optimization, and disaster prediction across all continents.