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Microsoft Research's AI and the New Future of Work program funds academic research advancing collaborative AI systems in which teams of humans and AI agents substantially outperform individuals working alone.
The Spring 2026 call solicits one-page proposals on themes including: reducing collaboration friction in human-AI teams, mitigating attention overload from agentic AI notifications and suggestions, enhancing team coordination through AI-mediated communication, generative-AI tools that augment creative and analytical teamwork, equitable distribution of productivity gains from collaborative AI, and methods for measuring team effectiveness with AI participation.
Funded projects produce empirical studies, prototypes, datasets, and publishable findings that inform the design of next-generation workplace AI systems.
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Search similar grants →Based on current listing details, eligibility includes: Principal investigators based at accredited, degree-granting universities or non-profit research organizations worldwide. Proposals must address research importance, anticipated impact, methodology, and PI qualifications in one page (up to 500 words plus references). Awards are unrestricted institutional gifts; proposals exceeding the maximum funding or missing required information are excluded. Applicants should confirm final requirements in the official notice before submission.
Current published award information indicates $50,000 to $75,000 USD per award as unrestricted gifts to the awardee institution. Multiple awards anticipated per call cycle. Always verify allowable costs, matching requirements, and funding caps directly in the sponsor documentation.
The current target date is May 25, 2026. Build your timeline backwards from this date to cover registrations, approvals, attachments, and final submission checks.
Federal grant success rates typically range from 10-30%, varying by agency and program. Build a strong proposal with clear objectives, measurable outcomes, and a well-justified budget to improve your chances.
Requirements vary by sponsor, but typically include a project narrative, budget justification, organizational capability statement, and key personnel CVs. Check the official notice for the complete list of required attachments.
Yes — AI tools like Granted can help research funders, draft proposal sections, and check compliance. However, always review and customize AI-generated content to reflect your organization's unique strengths and the specific requirements of the solicitation.
Review timelines vary by funder. Federal agencies typically take 3-6 months from submission to award notification. Foundation grants may be faster, often 1-3 months. Check the program's timeline in the official solicitation for specific dates.
Many federal programs offer multi-year funding or allow competitive renewals. Check the official solicitation for continuation and renewal policies. Non-competing continuation applications are common for multi-year awards.
Thinking Machines Lab is funding researchers working on AI designed for human collaboration, with a particular emphasis on real-time, multimodal interaction between people and generative AI systems. Priority research areas include: rigorous evaluation frameworks for interactive AI systems beyond static benchmarks, safety measures and guardrails for multimodal voice and vision platforms, generative UI techniques that explain complex information through dynamic visualizations, methods for human steering and correction of autonomous agents during extended tasks, and instrumentation for measuring real-time user trust, comprehension, and intent. Grant recipients receive $100K cash plus access to Tinker, Thinking Machines Lab's interactive AI research platform, with $25K in credits to run experiments on frontier multimodal models.
The F5 2026 STEM and AI Education Grants support nonprofits implementing STEM and AI education initiatives that prepare youth and underserved learners in Africa, Asia, and Latin America for the AI-driven economy. Funded organizations design programs that introduce AI literacy, foundational computational thinking, applied machine-learning projects, ethics of AI use, and pathways into STEM careers for students who would otherwise lack access. F5 prioritizes culturally adapted curricula, community-led delivery, partnerships with local schools and universities, and approaches that explicitly include girls, refugees, rural learners, and other underrepresented groups. Funded projects must demonstrate measurable learner outcomes and a clear sustainability plan beyond the grant period.
NVIDIA's K-12 AI Education Pledge, announced at a White House event aligning with the executive order on Advancing Artificial Intelligence Education for American Youth, commits $25 million to scale AI literacy in U.S. K-12 classrooms. The initiative integrates NVIDIA Deep Learning Institute (DLI) and NVIDIA Academy content through two K-12 learning platforms, Study Fetch and CK-12, tailoring hands-on AI experiences for high school students and educators. In year one NVIDIA focuses on curriculum development, platform integration, educator training, institutional engagement, and outreach efforts. The stated reach target is 1 million K-12 students within three years, supporting AI literacy, foundational machine learning skills, and pathways into the AI economy. The pledge complements NVIDIA's prior commitments of $30 million to the National AI Research pilot (NAIRR) and ongoing NSF partnerships supporting academic AI research.