Close the Loop Waste Reduction Grants

Joint NSF/NIH interagency program (NSF 25-542) supporting transformative, high-risk/high-reward advances in AI and advanced data science for biomedical and public health research. Funds interdisciplinary teams developing novel methods to collect, sense, connect, analyze, and interpret health data from individuals, devices, and systems. Six priority themes: fairness and trustworthiness in health AI systems, transformative analytics using AI/ML for biomedical research, multimodal wearable and implantable biomarker sensing systems, cyber-physical systems for closed-loop health interventions, robotics for health outcomes, and biomedical image interpretation combining human perception with computational analysis. All proposals require a mandatory Collaboration Plan demonstrating cross-disciplinary integration.

Geopolitical competition and socioeconomic resilience in CCAM: an innovation and policy roadmap for EU leadership (CCAM Partnership) is sponsored by European Commission — Horizon Europe. Expected Outcome: Project results are expected to contribute to all the following expected outcomes: Assessment of Europe’s CCAM position in global competition, identifying strategic vulnerabilities, dependencies and opportunities across business models, supply chains, critical components, technological capabilities, infrastructure, and regulatory frameworks, supported by advanced AI-driven analytics and innovation mapping tools. Stakeholder-driven, participatory future scenarios and strategic pathways that define Europe’s leading role in the evolving geopolitical, technological, and economic landscape of CCAM. These should be developed using advanced foresight methods ( e.g. qualitative scenarios, horizon scanning, technology roadmapping, etc.), complemented by iterative validation through a minimum of 3 dedicated Living Labs selected to represent diverse European regions, urbanisation levels, and governance capacities, ensuring a structured, robust, and anticipatory approach to long-term decision-making. A data-driven understanding of the socioeconomic effects of different CCAM deployment pathways, based on a quantified assessment across Member States and Associated Countries, economic sectors, and demographic groups, at national and cross-national levels, using innovative, integrated economic-transport modelling that captures dynamic interactions, systemic feedback loops, and long-term impacts. Socioeconomic effects may include, but are not limited to, employment and growth aspects, equity, and transport poverty. Robust governance models, policies and business strategies (including for SMEs and micro-enterprises) that strengthen Europe’s leadership, economic resilience, and market positioning in CCAM, developed through interdisciplinary methods combining policy analysis, institutional diagnostics, and scenario-based stress testing, to ensure robustness under diverse future geopolitical and economic conditions. These should identify viable business cases, recommend sectoral R&D priorities, and support innovation scaling for both public and private entities. Additionally, they should ensure long-term adaptability to geopolitical and market uncertainties, promote equitable growth, reduce external dependencies, and mitigate supply chain vulnerabilities, all while promoting sustainable growth. Ensuring close coordination and synergies the European Connected and Autonomous Vehicle Alliance (ECAVA), in particular the autonomous driving roadmap, announced by the European Automotive Action Plan. Scope: CCAM is a key area of global competition and one of the five pillars of the European Automotive Action Plan for the automotive sector, aimed at helping the industry regain its leadership in the shift towards smarter (AI-powered), cleaner, and more connected vehicles, However, CCAM deployment is shaped by evolving geopolitical dynamics, rapid technological advancements, and economic uncertainties. Europe must secure its leadership in CCAM and strengthen its socioeconomic resilience by continuously addressing vulnerabilities and identifying robust pathways for policy development and market deployment. This topic will assess the global geopolitical landscape of CCAM innovation, map future pathways, and develop evidence-based strategies for policymakers, businesses, and investors. The results will support robust, future-proof policies, business strategies, and investment frameworks, ensuring a resilient, inclusive, and competitive European CCAM ecosystem. Proposed actions are expected to address all of the following aspects: Conduct a comprehensive geopolitical and economic analysis of CCAM to map Europe’s strategic position in global competition. Identify vulnerabilities, dependencies and opportunities in business models, supply chains, critical raw materials, technological capabilities, digital and physical infrastructure, validation processes, safety benchmarks, and pricing strategies, supported by AI-driven analytics and innovatio Programme areas: Horizon Europe (HORIZON), Global Challenges and European Industrial Competitiveness, Climate, Energy and Mobility, Industrial Competitiveness in Transport, Clean, Safe and Accessible Transport and Mobility, Smart Mobility