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The Launch Sequence publishes expert-authored essays describing concrete but ambitious AI projects to accelerate progress in science and security. Selected authors receive a $10,000 honorarium and IFP works closely with them to develop ideas into concrete project plans, publish the plans publicly, connect them with philanthropic funders, and headhunt for a project lead or co-lead.
The Strengthening Security track specifically focuses on defensive and verification technologies needed for safe advanced AI deployment. Rolling submissions with no deadline but early pitches are prioritized and reviewed immediately. Many proposal authors have continued building their solutions and secured implementation grants from IFP and other philanthropic funders.
Also offers $1,000 bounties for referrals of people who go on to publish proposals.
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Or search similar grants →According to the current listing, eligibility includes: Individuals, entrepreneurs, researchers, and domain experts with concrete AI safety, science, or security project proposals. No institutional affiliation required. Open to anyone with a well-developed proposal for an ambitious AI-related project. Confirm the full requirements in the official notice before applying.
The current listing shows $10,000 honorarium per published proposal. $1,000 bounties for successful referrals and new ideas that get published. IFP connects selected authors with philanthropic funders for project implementation funding that can reach significantly higher amounts. Verify award ceilings, matching requirements, and allowable costs in the official notice.
Institute for Progress Launch Sequence for AI Safety Science and Security Innovation Proposals is funded by Institute for Progress (IFP). 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.
The FAS NOFO opens $226M for five-year, $28–35M cooperative agreements with a July 6 deadline. The seven-country priority list — Bangladesh, Bolivia, Ecuador, Morocco, the Philippines, Sri Lanka, Thailand — replaces the prior Africa-heavy footprint with an Indo-Pacific and Western-Hemisphere geography that maps directly to U.S. commercial agriculture export strategy.
Read articleA final rule effective May 14 rescinds the DOE grant programs that funded energy efficiency upgrades at 410 school facilities in 36 states. The Renew America Schools program and billions in clean energy awards are casualties of a systematic dismantling.
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