NSF SaTC 2.0 (Security Privacy and Trust in Cyberspace) is the largest open solicitation for university-led cybersecurity research in the federal portfolio now expanded with AI security as an explicit priority area. The 2.0 reboot added generative AI security open-source software security quantum computing security and supply chain security as topics of interest addressing the bidirectional role of AI as both a cybersecurity threat and a defensive tool. Research awards support adversarial machine learning and attacks on AI systems AI weaponization against people information and systems privacy-preserving machine learning and responsible AI use for detecting and responding to cyber threats. The program funds three award types: Research awards up to $1.2M for four years Education awards up to $500K for three years and Seedling awards up to $300K for two years through Dear Colleague Letters. Proposals are accepted on a recurring annual basis with two windows per year. This is distinct from NSF CyberAICorps which focuses on scholarship and workforce development and from NSF AIMing which focuses on AI formal methods and mathematical reasoning.

The Argonne Leadership Computing Facility (ALCF) AI Program for EXploration (APEX) provides leadership-scale computing allocations on advanced hardware including novel AI accelerators, a dedicated ALCF staff collaborator, and an ALCF-funded postdoctoral researcher hired by and working within ALCF. Projects are two years with a one-year renewal review. The program targets large-scale scientific applications of AI and learning technologies that seek close collaboration with ALCF experts, aiming to advance project maturity and readiness for follow-on INCITE or ALCC proposals. Award notifications were March 27, 2026 with a program start date of May 1, 2026. Both new and existing HPC users are welcome to apply.

CRI Irvington Postdoctoral Fellowship Program is a grant from the Cancer Research Institute (CRI) that funds outstanding postdoctoral researchers pursuing hypothesis-driven, mechanistic studies in immunology and cancer immunology. One of the most prestigious training programs in the field, this fellowship provides three years of sustained financial support totaling approximately $243,000, along with mentorship and professional development to help fellows transition from doctoral training to independent scientific careers. Eligible applicants are postdoctoral researchers at nonprofit research universities and institutions worldwide. Applications are evaluated on candidate qualifications, the sponsor and training environment quality, and the significance and innovation of the proposed research.

The Digital Europe Programme call DIGITAL-2026-AI-09-SOLUTIONS-CANCER-STEP funds the accelerated deployment of AI-driven medical imaging solutions for cancer diagnosis and treatment across Europe. This is part of the STEP (Strategic Technologies for Europe Platform) initiative and the EU's Cancer Mission, which aim to improve early detection and personalized treatment through multimodal AI solutions in medical imaging. Projects are expected to deploy and scale AI tools that assist radiologists and oncologists in analyzing medical images, improving diagnostic accuracy, reducing time to diagnosis, and enabling personalized treatment plans. The call provides 50% co-funding of eligible costs and is part of the Digital Europe Programme's 9th open call batch with a combined budget exceeding €204 million. The initiative connects to Europe's broader Health Data Space and the GenAI4EU strategy for deploying AI in strategic healthcare applications. Other healthcare-related calls in the same batch include health data space tools (DIGITAL-2026-AI-09-DS-HEALTH-TOOL).

The K-12 AI Infrastructure Program is a $26 million initiative led by Digital Promise in partnership with Learning Data Insights, DrivenData, the Massive Data Institute at Georgetown University, and Catalyst @ Penn GSE. The program funds development of openly-shared datasets, AI models, benchmarks, and other digital public goods to advance AI in education. All funded outputs must be openly-licensed and available at no cost to developers and institutions, with a focus on universally important educational needs and emphasis on student groups with higher needs and growth opportunities. The program prioritizes data safety and privacy standards. An RFI closed March 8, 2026, with a formal Request for Proposals launching in early-to-mid 2026.

Collaboratory to Advance Mathematics Education and Learning K-12 is a grant from the National Science Foundation (NSF) that funds the creation of cross-disciplinary research networks and a shared national hub to improve K-12 mathematics learning. With awards up to $1,500,000, the program focuses on generating and sharing high-value, AI-ready datasets that bridge the science of learning, classroom practice, and data science. Eligible applicants are non-profit, non-academic organizations directly associated with educational or research activities. The program aims to create scalable, interoperable infrastructure to advance evidence-based mathematics instruction nationwide.

The EPSRC Turing AI Global Fellowships are a flagship UK programme designed to attract world-leading AI researchers from outside the UK to build multidisciplinary research groups conducting transformational core AI research. Each fellowship provides up to £4.5 million over 5 years starting by February 2027. The programme is part of the UK's national AI strategy to strengthen the UK's position as a global leader in artificial intelligence research and innovation. Fellows build world-leading research groups and make a significant impact on the UK's AI landscape.

Pillar IV: Advancing Knowledge for ERA is sponsored by European Commission — Horizon Europe. Scope: This topic aims to generate new information and knowledge contributing to strengthening the evidence base for advancing the ERA. Applicants should propose diverse R&I activities that can support the design, implementation, monitoring and evaluation of ERA policies and practices. Applicants should select and clearly identify one area being addressed, choosing from the six areas outlined below. Each area is designed to contribute toward the implementation of an ERA policy: Area 1 – ERA Structural Policy “Enabling open science via sharing and re-use of data, including through EOSC”; Area 2 – ERA Action “A coordinated framework responding to emerging challenges for ethics and integrity in R&I”; Area 3 and Area 4 – ERA Structural Policy “Strengthening gender equality and inclusiveness in the ERA"; Area 5 and Area 6 – ERA Structural Policy “Making research careers more attractive and sustainable and support mobility”. Proposals should develop all the activities outlined for the selected area, as well as additional activities contributing to the selected area’s expected outcomes. In project activities, particular attention should be paid to promoting inclusive gender equality and addressing gender-specific challenges. Expected project duration is up to 3 years without prejudice to a longer duration if justified. Area 1: Assessing reproducibility in research by direct replication of scientific findings Expected outcome: Proposals under Area 1 will deliver on the impact “Increased reproducibility, trustworthiness and transparency of scientific research”, contributing to the ERA Structural Policy “Enabling open science via sharing and re-use of data, including through EOSC”. Project results are expected to contribute to all of the following expected outcomes: New knowledge and methodologies through independent, direct replication studies of selected high-impact research findings are available to researchers, citizens, and policymakers; New innovative approaches are available to researchers and open science experts to conduct and incentivise the replication of scientific findings; Sustainable engagement and collaboration in replication of scientific findings have been established across research communities. Scope: Area 1 aims to support the replication of significant findings across different scientific fields, addressing technical and societal challenges related to research reproducibility. Proposals must build on prior art in replication practices and demonstrate their capacity to perform and conclude the replication of the findings within the means and duration of the project. Funded actions are expected to adhere to the best practices in open science and reproducibility. Activities should involve all relevant actors, including researchers, scientific service and infrastructure providers, and open science experts. To achieve the expected outcomes, proposals should address the activities outlined below and propose any additional, complementary activities: Conduct independent, direct replication of the findings of specified high-impact, influential studies from selected research domains, using state-of-the-art methodologies; these should cover both experimental and computational studies, including cases where the original findings have been controversial, or where replication studies are needed to confirm or refine the results; Develop innovative approaches to replication studies and solutions that can be generalised or adapted to multiple fields, considering the distinct challenges of different scientific fields and the challenges that cut across the selected research domains; Assess the findings of the replication studies and develop and disseminate best practices and concrete, field-specific recommendations for increased reproducibility of scientific findings, based on the replication studies, as well as policy-related recommendations; Develop and test innovative models to incentivise researchers to participate in rep Programme areas: Widening Participation and Strengthening the European Research Area, Reforming and enhancing the European R&I System, Horizon Europe (HORIZON)

Schmidt Sciences' Humanities and AI Virtual Institute (HAVI) funds research teams developing and applying AI to humanities disciplines including archaeology, history, literature, art history, and cultural studies. The initiative addresses the gap between conventional AI models (trained on contemporary data) and the needs of humanities scholars who work with ancient texts, small datasets, and culturally-specific materials. Projects create custom AI models tailored to humanities-specific challenges such as ancient and lesser-spoken languages, 3D artifacts, historical manuscripts, archaeological site discovery, film and media analysis, and heritage preservation. HAVI unlocks new understandings of human history and culture through AI.

The Climate Intervention Environmental Impact Fund supports innovative investigators worldwide who are working to reverse climate change through field testing climate intervention technologies. Grants fund three core areas: environmental impact assessment, predictive impact modeling using AI and computational methods, and stakeholder engagement ranging from local communities to government agencies. The fund emphasizes understanding environmental and societal implications before large-scale deployment of climate technologies. Applicants must submit detailed proposals including prior research supporting technological readiness, siting details, anticipated technical and environmental challenges, and names of independent consulting firms for impact analyses. Funding decisions announced May 1, 2026.

Climate Intervention Field Test Grants is a grant from the Climate Intervention Environmental Impact Fund that supports investigators worldwide working to reverse climate change. The fund provides grants exclusively for predictive environmental impact assessments (EIA), impact modeling studies, and stakeholder engagement efforts tied to small-scale field tests of new climate intervention technologies. Eligible applicants include researchers and organizations globally, including US-based institutions. Each award is $75,000, with three grants available per cycle. The most recent application deadline was March 15, 2026.

High Altitude Community Observatory (HACO) Development Program is sponsored by National Science Foundation (NSF). NSF supports development of high-altitude platforms for astronomical observations, including buoyant systems like aerostats for ultra-high altitude research applications. This program should be reviewed carefully against your organization's mission, staffing capacity, timeline, and compliance readiness before you commit resources to a full application. Strong submissions usually translate sponsor priorities into concrete objectives, clear implementation milestones, and measurable public benefit. For planning purposes, treat March 15, 2026 as your working submission target unless the sponsor publishes an updated notice. A competitive project plan should include a documented need statement, implementation approach, evaluation framework, risk controls, and a realistic budget narrative. Even when a grant allows broad program design, reviewers still expect credible evidence that the proposed work can be executed within the grant period and with appropriate accountability. Current published award information indicates $1,000,000 - $5,000,000 Organizations should verify the final funding range, matching requirements, and allowability rules directly in the official opportunity materials before preparing a budget. Finance and program teams should align early so direct costs, indirect costs, staffing assumptions, procurement timelines, and reporting obligations all remain consistent throughout drafting and post-award administration. Eligibility guidance for this opportunity is: Universities, research institutions, consortia If your organization has partnerships, subrecipients, or collaborators, define responsibilities and compliance ownership before submission. Reviewers often look for implementation credibility, so letters of commitment, prior performance evidence, and a clear governance model can materially strengthen the application narrative and reduce concerns about delivery risk. A practical approach is to begin with a focused readiness review, then build a workback schedule from the sponsor deadline. Confirm required attachments, registration dependencies, and internal approval checkpoints early. This reduces last-minute issues and improves submission quality. For the most accurate requirements, always rely on the official notice and primary source links associated with High Altitude Community Observatory (HACO) Development Program.

Wellcome Genomics in Context Awards is a grant from Wellcome Trust that funds interdisciplinary and transdisciplinary research teams working to shape new discovery agendas at the intersection of genomics and its wider societal, ethical, and humanistic contexts. Awards of up to £500,000 support 12-24 month projects. Each team must include at least one genomics/life sciences researcher, one humanities or social sciences or bioethics researcher, and one wider stakeholder. Early-career, mid-career, and established researchers worldwide are eligible, except those based in mainland China.

The OIBR Seed Grant is a grant from the Owens Institute for Behavioral Research at the University of Georgia that funds preliminary data collection, proof-of-concept studies, and pilot research in the social and behavioral sciences. Awards provide up to $15,000 per project, with funds available from July 1, 2026 through June 30, 2027. The proposal deadline was March 16, 2026, with notifications by May 15, 2026. Eligible applicants are OIBR Faculty Affiliates, Distinguished Scholars, and Grant Development Participants at UGA; postdoctoral researchers are not eligible. Projects must demonstrate commitment to interdisciplinary research and directly contribute to future submission of an external grant proposal. Acceptable uses include participant incentives, small dataset purchases, data collection costs, and research assistant support. Seed grants cannot fund faculty salary or conference travel. Applications are peer-reviewed on significance, scientific rigor, interdisciplinarity, investigator qualifications, and potential for external funding.

Innovative AI methods and technologies for the process industries (RIA) (Processes4Planet and AI, Data and Robotics partnerships) is sponsored by European Commission — Horizon Europe. Expected Outcome: Projects are expected to contribute to the following outcomes: To develop and demonstrate innovative AI-driven solutions in materials and process development to enhance the competitiveness and sustainability of the process industries by better products and process technologies and reducing the time to market To increase the competitiveness of materials production in Europe by AI-supported optimal operation of plants and value networks and early detection of problems and failures To improve the working conditions in the plants by using AI technologies, metaverse, and robots. Scope: Drastically improved AI methods and technologies hold transformative potential for the process industries, enabling advancements in process design, operational efficiency, and faster innovation across the entire lifecycle of plants and products. By using different AI approaches such as multimodal generative AI, foundation models, and agentic AI, the industry can move beyond conventional AI applications as e.g. predictive maintenance and quality control toward more intelligent, adaptive, and creative solutions. AI-based solutions can deliver value at every stage of the process lifecycle. In design and engineering, they can enable new innovations and accelerate the development process. During operations, AI technologies can be employed to optimize processes, enhance reproducibility, adapt to changing conditions, and provide new forms of support for the workforce and enable autonomous operation. In value chains, AI can help to adapt faster and detect changing customer needs. These capabilities support faster innovation and strengthen competitiveness in a rapidly evolving industrial landscape. However, realizing this potential requires careful consideration of risks related to reliability, security, and trust, ensuring that AI solutions are effective, safe, and responsible. Proposals should produce dedicated innovative AI-based solutions for the process industry for one of the following scopes: More effective and faster development of new materials and processes Competitive and sustainable production, reducing the negative environmental impact of industry Reduction of risks for the health of the workforce and for the environment and making workplaces in the process industries more attractive. In the projects, user acceptance and training of the users as well as integration into the OT/IT landscape of the companies should be taken into account, e.g. through active engagement in design, development and integration of systems and processes. This topic is linked to the Apply AI Strategy, therefore proposals should seek collaboration with relevant initiatives. Proposals should include a business case and exploitation strategy, as outlined in the introduction to Destination ‘Leadership in materials and production for Europe’. This topic implements the co-programmed European Partnerships Processes4Planet and AI, Data and Robotics. Technology Readiness Level - Technology readiness level expected from completed projects Activities are expected to start at TRL 4-5 and achieve TRL 6 by the end of the project – see General Annex B. Programme areas: Horizon Europe (HORIZON), Global Challenges and European Industrial Competitiveness, Digital, Industry and Space Deadline stages: 2026-03-17, 2026-10-13

AI improved advanced manufacturing and production processes in factories (RIA) (Made in Europe and AI, Data and Robotics partnerships) is sponsored by European Commission — Horizon Europe. Expected Outcome: Increased competitiveness and productivity, through innovative AI-enabled advanced manufacturing processes and operations, including real-time monitoring and adaptive optimisation; and Reduction of emissions and alignment with Clean Industrial Deal objectives. Scope: AI approaches in manufacturing processes hold the potential to significantly enhance circularity, process and operational efficiency as well as sustainability of modern factories. Current state-of-the-art technologies have already paved the way for more streamlined operations, yet there remains untapped value in e.g. quality improvement, definition of optimal process operating conditions, reduction of scrap, optimization of energy usage. Real-time monitoring and adaptive optimisation using AI models can enable agile responses to production variability and support sustained, high-performance operations. New solutions based on innovative enabling technologies such as deep learning, large language models, digital twins, synthetic data, and data-driven models allow manufacturers to improve production system efficiency, elevate product quality, and proactively address critical challenges in energy consumption and carbon footprint. This dual focus on operational excellence and sustainability ensures that factories can maintain competitive advantage while also contributing to specific environmental goals, e.g. reducing the pressure on ecosystems and natural resources. Since innovation capacity and competitiveness also requires a systemic understanding of an organization’s value creating structure, novel AI solutions should be implemented such that they can support all structures and phases of operation, in technical and non-technical terms. Proposals should produce dedicated innovative explainable AI based solutions in advanced manufacturing for at least two of the following: improve processes and operational efficiency, and reduce climate and environmental impact of processes and factories through dynamic selection of optimal processes and production parameters, exploiting AI for process modelling and/or optimisation; avoid the production of defective parts using AI to detect process drift and anomalies and correct proactively defects in real time; and maximise the fraction of regenerated components or materials used in the production using AI to optimise the material flow. Proposals should demonstrate potential for these AI tools to adapt to changing production needs and real-time data, and should describe how industrial data access, confidentiality, and secure data-sharing will be addressed. Projects are encouraged to link with AI Factories, including the Data Labs. The results may be validated in Testing and Experiment Facilities (TEFs), and further deployed via European Digital Innovation Hubs (EDIHs). This topic is linked to the Apply AI Strategy, therefore proposals should seek collaboration with relevant initiatives. Proposals can optionally address the conditions for implementing the novel AI solutions within an organisations structure and value creating models, thereby contributing to systemic approach of implementing a smart organisation. This topic is linked to the Apply AI Strategy, therefore proposals should seek collaboration with relevant initiatives. Proposals should include a business case and exploitation strategy, as outlined in the introduction to Destination ‘Leadership in materials and production for Europe’. This topic implements the co-programmed European Partnerships Made in Europe and AI, Data and Robotics. Technology Readiness Level - Technology readiness level expected from completed projects Activities are expected to start at TRL 4-5 and achieve TRL 6 by the end of the project – see General Annex B. Programme areas: Horizon Europe (HORIZON), Global Challenges and European Industrial Competitiveness, Digital, Industry and Space Deadline stages: 2026-03-17, 2026-10-13

Horizon Europe call HORIZON-CL4-2026-02 includes two AI-focused topics for manufacturing: DIGITAL-EMERGING-51 ('AI improved advanced manufacturing and production processes in factories') and DIGITAL-EMERGING-53 ('Innovative AI methods and technologies for the process industries'). The call has a total budget of EUR 98 million across 3 topics. These Research and Innovation Actions (RIA) are conducted through the Made in Europe and AI, Data and Robotics partnerships, as well as the Processes4Planet partnership. Topic 51 develops AI applications for manufacturing optimization in factory settings, while Topic 53 creates novel AI approaches for process industry applications including chemical processing, food production, and resource-intensive manufacturing. This is a two-stage call with Stage 1 proposals due March 17, 2026. Both topics support the EU's broader GenAI4EU strategy and contribute to making European manufacturing more competitive through AI adoption.

ERC PROOF OF CONCEPT GRANTS is sponsored by European Commission — Horizon Europe. Objective: The ERC Proof of Concept Grants aim at facilitating exploration of the commercial and social innovation potential of ERC funded research and are therefore available only to Principal Investigators whose proposals draw substantially on their ERC funded research. Scope: Size of ERC Proof of Concept Grants : The financial contribution will be awarded as a single lump sum of EUR 150 000 for a period of eighteen months . Extensions of the duration of Proof of concept projects may be granted only exceptionally. The lump sum will cover the beneficiaries' direct and indirect eligible costs for the project: if the project is implemented properly the amounts will be paid regardless of the costs actually incurred. The lump sum is designed to cover the beneficiaries’ personnel costs, subcontracting costs, purchase costs, other cost categories, and indirect costs. Profile of the ERC Proof of Concept Eligible Principal Investigator The ERC Proof of Concept Grant is open to Principal Investigators whose ERC main frontier research grant is ongoing, or Principal Investigators whose ERC main frontier research grant ends on or after 1 January 2025. For further information please see the ERC Work Programme 2026. Programme areas: European Research Council (ERC), Excellent Science, Horizon Europe (HORIZON) Keywords: ERC, ERC-2026-POC, European Research Council, Frontier Research, HORIZON-ERC-2026, Lump sum, POC, POC2026, Proof of Concept, Proof of Concept Lump sum Deadline stages: 2026-03-17, 2026-09-17

Tinker Field Research Grant (San Diego State University) is sponsored by Tinker Foundation (administered by Center for Latin American Studies at San Diego State University). The Tinker Field Research Grant, offered through the Center for Latin American Studies at San Diego State University, provides funds for graduate students to conduct preliminary research in Latin America.

Long Island Sound Partnership (LISP) Research Program is a grant from Connecticut Sea Grant and New York Sea Grant, funded by NOAA, that funds scientific research to improve the understanding and management of Long Island Sound. Initiated in 2000 in cooperation with the EPA Long Island Sound Office, the program awards funding to researchers whose work directly supports decision-making for the Long Island Sound Study. For the 2027-2028 funding period, approximately $5.5 million is expected to be available for one- or two-year projects, with a maximum award of $1,000,000 per project and an annual cap of $500,000 per year. Preliminary proposals for the current cycle were due March 19, 2026. Submissions are accepted through NYSG's E-Seagrant portal. Prospective applicants may contact the research coordinators at Connecticut Sea Grant or New York Sea Grant for guidance.

2026 Pilot Grants RFA is a research funding program from the Myotonic Dystrophy Foundation supporting scientific investigation into myotonic dystrophy, with a deadline of March 20, 2026. The program offers multiple funding mechanisms including pilot grants, a fellowship program, and small grants, making it accessible to researchers at various career stages. Award amounts are not specified in available listings. Eligible applicants are researchers working on myotonic dystrophy — the most common form of adult-onset muscular dystrophy — including those pursuing early-stage or proof-of-concept studies. This RFA is a primary funding vehicle for advancing the myotonic dystrophy research pipeline.

The Joseph H. Fichter Research Grants are annual awards from the Association for the Sociology of Religion (ASR) that fund promising sociological research on women in religion or on the intersection of religion with gender or sexualities. A total of $12,000 is distributed annually among the strongest applications. Dissertation research and postdoctoral research by junior and senior scholars are both eligible. Grants cover direct research expenses such as transportation, research assistant fees, and transcription costs, but not indirect expenses. Applicants must be current ASR members and hold or be pursuing a Ph.D. in a relevant discipline. Previous recipients must wait three competition cycles before reapplying. The application deadline is March 20.

Scallop Research Set-Aside Program is a NOAA Fisheries program administered through the New England Fishery Management Council that funds scallop research by awarding researchers pounds of harvestable scallops rather than federal dollars. This unique in-kind funding model supports regional scallop stock surveys lasting up to four years and scallop enhancement research lasting up to three years. Projects are designed to integrate the expertise of academic researchers with the practical knowledge of commercial fishermen, fostering collaborative partnerships that improve sustainable fisheries management in New England waters. Applicants should have strong ties to the scallop fishing industry and propose rigorous, field-tested methodologies with clear relevance to stock assessment and population dynamics.

NEA Research Grants in the Arts & NEA Research Labs is sponsored by National Endowment for the Arts. NEA Research Grants in the Arts & NEA Research Labs is a grant from the National Endowment for the Arts that establishes interdisciplinary research teams at universities and medical centers nationwide to study the intersection of arts and public benefit.

Notice of Funding Opportunity: 2026-27 NCITE Research Projects is sponsored by National Center for Integrated Translational Cybersecurity (NCITE). Funds research on dynamics in online environments that escalate vulnerable youth toward violent extremism and how to disrupt those pathways using non-DHS data sources or synthetic data. Focuses on algorithm development with privacy protections.

NEH Research Labs in the Humanities is a grant from the National Endowment for the Humanities (NEH). This program supports innovative, interdisciplinary humanities research through grants to universities, research institutions, and nonprofits pursuing long-term scholarly agendas. Funded projects have included archaeological excavations at Teotihuacan and Abydos, digitization of endangered Indigenous languages and historical audiovisual archives, public exhibitions at major museums, educational curriculum innovation, and Summer Stipends for individual scholars. NEH also partners with the National Science Foundation to document endangered languages. Grants range broadly in scope and support the full spectrum of humanities inquiry, from ancient history to contemporary culture.

Sea Scallop Research Set-Aside Program is a grant from NOAA Fisheries, Department of Commerce, that funds scientific research to inform sea scallop fishery management decisions and improve stock assessments. Administered in coordination with the New England Fishery Management Council, the program awards pounds of set-aside scallops rather than federal funds. Researchers partner with fishermen to harvest the awarded scallops, and proceeds fund the research and compensate fishing industry partners. Eligible projects include regional scallop surveys with award periods up to four years and resource enhancement research up to three years. Proposals are evaluated for scientific merit and relevance to scallop fishery management priorities set by the Council. The 2026 competition may also cover 2027 set-aside allocations.

Early Career Research Program (ECRP) is a grant from the U.S. Department of Energy Office of Science designed to support the development of individual research programs for outstanding scientists early in their careers. The program funds research across seven areas: Advanced Scientific Computing Research, Basic Energy Sciences, Biological and Environmental Research, Fusion Energy Sciences, High Energy Physics, Nuclear Physics, and Isotope R&D and Production. Eligibility is restricted to U.S. institutions of higher education, DOE and NNSA national laboratories, and institutions operating SC Scientific User Facilities. University awards provide approximately $875,000 over five years, while national laboratory awards are also available. The program aims to stimulate long-term research careers in science fields supported by the Office of Science.

ARIA Scaling Trust Programme is a grant from ARIA (Advanced Research and Invention Agency) providing up to £50 million for research teams to develop secure coordination infrastructure for AI agents. The programme seeks to enable AI agents to securely coordinate, negotiate, and verify with one another on behalf of humans. Phase 1 funding targets open-source coordination infrastructure and fundamental research moving from empirical to theory-driven guarantees in agentic coordination. ARIA also offers opportunity seeds up to £500,000 for individual research teams. Eligible applicants include research organizations, universities, and technology companies working on AI safety and coordination challenges.

ARIA's Scaling Trust programme is a £50 million (~$63 million) initiative to create the capability for AI agents to securely coordinate, negotiate, and verify with one another on behalf of humans. The programme's Phase 1 seeks to fund teams developing open-source coordination infrastructure and performing fundamental research that advances from empirical to theory-driven guarantees in agentic coordination. The Opportunity Space is titled 'Trust Everything, Everywhere' and is led by Programme Director Alex Obadia. ARIA does not run rolling grant competitions; instead, Programme Directors define bold scientific missions and build tailored cohorts of researchers and innovators to deliver them. This programme addresses the critical challenge of enabling trustworthy multi-agent AI systems that can autonomously coordinate while maintaining security and verifiability guarantees. Research areas include cryptographic protocols for agent verification, game-theoretic coordination mechanisms, formal methods for trust guarantees, and open-source infrastructure for agent-to-agent communication.