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The CBAI Summer Research Fellowship in AI Safety is an intensive, fully-funded nine-week research program hosted in Cambridge, Massachusetts, designed to support talented researchers in AI safety. It covers interpretability, multi-agent safety, formal verification, risk management frameworks, and other technical and governance domains. Fellows receive a $10,000 stipend for the nine weeks along with mentorship and research support.
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Or search similar grants →According to the current listing, eligibility includes: Talented aspiring AI safety researchers (students and early-career researchers) selected into the fellowship; see official notice for full criteria. Confirm the full requirements in the official notice before applying.
The current listing shows $10,000 stipend for a nine-week fully-funded fellowship. Verify award ceilings, matching requirements, and allowable costs in the official notice.
Cambridge Boston Alignment Initiative (CBAI) Summer Research Fellowship in AI Safety 2026 is funded by Cambridge Boston Alignment Initiative (CBAI). Verify program details on the funder's official page before applying.
This opportunity targets applicants in MA. If your organization operates elsewhere, check the official notice for location requirements.
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 Cummings Foundation will give away $30 million to 150 Greater Boston nonprofits in the 2026 cycle — 125 three-year grants and 25 ten-year grants, at $10K–$100K a year. The letter of inquiry opens July 15 and closes September 17. Here's how the geography rules actually work, why the ten-year track rewards past winners, and how to write an LOI that survives a jury of community volunteers.
Read articleThe FY2026 federal funding map has tilted hard toward AI, critical minerals, energy, advanced manufacturing, and workforce development — while a new layer of political review asks whether each award advances administration priorities. Here is a strategic map of where the money is moving, and how to position a proposal for the new alignment screen without distorting the work.
Read articleBuried in the §200.340 termination provisions of the May 29 Uniform Grants Regulation rewrite is a fundamental restructuring of federal grant termination law. The new rule explicitly models grant termination on the Federal Acquisition Regulation's termination-for-convenience framework — agencies may terminate when termination is in the agency's interest, when an award no longer advances agency priorities, or when the national interest as it exists at the time of termination has shifted. Unlike federal contracts, the rule eliminates the objection, hearing, and appeal rights that have historically attached to termination decisions, and unlike federal contracts, it does not import the FAR's termination settlement framework. Multiyear grant recipients now bear contract-level cancellation risk without contract-level settlement protection.
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