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The United States Agency for International Development (USAID) is seeking applications for a Leader with Associates Cooperative Agreement from qualified entities to implement the Feed the Future Innovation Lab for Irrigation & Mechanization Systems (ILIMS). Eligibility for this award is restricted to U.S. colleges and universities as defined under Section 296(d) of Title XII of the FAA. See Section C.I of this NOFO for eligibility requirements.
Funding Opportunity Number: 7200AA23RFA00015. Assistance Listing: 98.001. Funding Instrument: CA. Category: DPR. Award Amount: Up to $40M per award.
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Or search similar grants →According to the current listing, eligibility includes: Eligible applicants: Public and State controlled institutions of higher education; Private institutions of higher education. Cost sharing or matching funds are required. Confirm the full requirements in the official notice before applying.
The current listing shows up to $40M per award. Verify award ceilings, matching requirements, and allowable costs in the official notice.
The published deadline was August 4, 2023, which has passed. Check the official notice for any future application windows before investing time in a proposal.
Yes — Feed the Future Innovation Lab for Irrigation & Mechanization Systems is offered by Agency for International Development and this listing comes from Grants.gov, an official U.S. federal source. Federal applications generally require registrations (for example SAM.gov or an agency submission portal), so allow extra lead time.
Start from the official opportunity page linked in this listing — it carries the sponsor's submission instructions.
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Support to the implementation of Multi-Country Projects: EDIC Support Hub is sponsored by European Commission — Digital Europe Programme. Expected Outcome: 1. Comprehensive support to EDICs, the Commission and Member States by: the provision of legal and operational advice to established EDICs, including on the compliance with the DDPP Decision, other EU legislation and where applicable national legislation; and maintaining a repository of thereof; support the Commission and Member States on the EDICs in preparation and in identifying and mobilising new EDIC initiatives, pursuing outreach activities and reporting progress in the State of the Digital Decade Report; creating and maintaining of consolidated data and information repository on EDICs, including best practices and data promoting EDIC results (quantified where possible), and reporting; accessible to relevant stakeholders; liaising and coordination between EDICs as well as between EDICs and other MCP implementation mechanisms and other relevant stakeholders, based on the collected data, propose milestones or avenues for future strategic development of EDIC ecosystem aligned with EU digital policy objectives, other support activities necessary to help achieve the objectives of the call. 2. The setting up of an EDIC’s community of practice, including knowledge-sharing activities, collaborative projects, outreach and other events, and knowledge management to build expertise and shared understanding. 3. The organisation of an Annual EDIC Gathering, addressed to the EDIC Community and other relevant stakeholders, following the policy steering provided by the European Commission. 4. Annual impact report, covering the project as a whole, as well as each of the European Digital Infrastructure Consortia, the proposed milestones or avenues for future strategic development of EDIC ecosystem aligned with EU digital policy objectives. The timing of the report should be such that this can feed into the State of the Digital Decade Report of the European Commission. Objective: The objective of the action is to establish an EDIC Support Hub in order to: Ensure that EDICs have the access to comprehensive legal, operational, coordination and support. Contribute to the consolidation and long-term sustainability of EDICs. Enhance transparency, outreach and access to consolidated information on EDICs, strengthen links with society, the economy and European competitiveness. Support the Commission and Member States in creating a steady pipeline of new EDIC initiatives. Gather and generate evidence (data promoting EDIC results, quantified where possible) to support the analysis informing the future strategic development of a coherent and resilient EDIC ecosystem aligned with EU digital policy objectives. Scope: The EDIC Support Hub should provide support to the EDICs, the Member States and the European Commission in their work towards further consolidation, strengthening and ensuring long-term sustainability of the EDIC ecosystem, in particular by: Providing comprehensive legal, operational, coordination support to the EDICs, and strategic support to the European Commission. Strengthening governance and compliance of EDICs with the Digital Decade Policy Programme (DDPP) Decision and other relevant EU and national legislation and improving coordination among EDICs and with key stakeholders. Improving accessibility of consolidated information on EDICs, strengthening links with society, the economy and European competitiveness. Working with the Commission and Member States on identification and mobilisation of new EDIC initiatives. Processing the data gathered, aiming to generate evidence (data promoting EDIC results, quantified where possible) to inform the future strategic development of a coherent and resilient EDIC ecosystem aligned with EU digital policy objectives. Programme areas: DIGITAL Keywords: Artificial Intelligence & Decision support, Artificial intelligence, Artificial intelligence, intelligent systems, multi agent systems, Big data, Data integrity, Data usage control, Design, implementation, and operation of data management systems that include security and privacy functions, Metadata, Project management and coordination, Digital, Digital Decade, Digital Europe Programme, MCP, Multicountry Projects, common communication, communication, data promoting, digital infrastructure projects, digital transformation, large-scale deployment and capacity-building, outreach activities
Mathematical Foundations of Artificial Intelligence (MFAI) is sponsored by National Science Foundation (NSF). Machine Learning and Artificial Intelligence (AI) are enabling extraordinary scientific breakthroughs in fields ranging from protein folding, natural language processing, drug synthesis, and recommender systems to the discovery of novel engineering materials and products. These achievements lie at the confluence of mathematics, statistics, engineering and computer science, yet a clear explanation of the remarkable power and also the limitations of such AI systems has eluded scientists from all disciplines. Critical foundational gaps remain that, if not properly addressed, will soon limit advances in machine learning, curbing progress in artificial intelligence. It appears increasingly unlikely that these critical gaps can be surmounted with increased computational power and experimentation alone. Deeper mathematical understanding is essential to ensuring that AI can be harnessed to meet the future needs of society and enable broad scientific discovery, while forestalling the unintended consequences of a disruptive technology. The National Science Foundation Directorates for Mathematical and Physical Sciences (MPS), Computer and Information Science and Engineering (CISE), Engineering (ENG), and Social, Behavioral and Economic Sciences (SBE) will jointly sponsor research collaborations consisting of mathematicians, statisticians, computer scientists, engineers, and social and behavioral scientists focused on the mathematical and theoretical foundations of AI. Research activities should focus on the most challenging mathematical and theoretical questions aimed at understanding the capabilities, limitations, and emerging properties of AI methods as well as the development of novel, and mathematically grounded, design and analysis principles for the current and next generation of AI approaches. Specific research goals include: establishing a fundamental mathematical understanding of the factors determining the capabilities and limitations of current and emerging generation s of AI systems, including, but not limited to, foundation models, generative models, deep learning, statistical learning, federated learning, and other evolving paradigms; the development of mathematically grounded design and analysis principles for the current and next generations of AI systems; rigorous approaches for characterizing and validating machine learning algorithms and their predictions; research enabling provably reliable, translational, general-purpose AI systems and algorithms; e ncouragement of new collaborations in this interdisciplinary research community and between institution s. The overall goal is to establish innovative and principled design and analysis approaches for AI technology using creative yet theoretically grounded mathematical and statistical frameworks, yielding explainable and interpretable models that can enable sustainable, socially responsible, and trustworthy AI. Mathematical Foundations of Artificial Intelligence (MFAI). Program guideline: NSF 24-569. Upcoming due date listed in NSF feed.