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Find similar grantsSeveral automotive manufacturers offer reimbursement or rebate programs to assist individuals with the cost of installing adaptive equipment on new vehicles for drivers and/or passengers with disabilities.
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Or search similar grants →According to the current listing, eligibility includes: Individuals who purchase or lease eligible new vehicles from participating manufacturers and install qualifying adaptive mobility equipment. Specific eligibility and program expiration dates vary by manufacturer. Confirm the full requirements in the official notice before applying.
The current listing shows up to $1,000 (reimbursement/rebate). Verify award ceilings, matching requirements, and allowable costs in the official notice.
Automotive Mobility Programs (Reimbursement/Rebate Programs) is funded by Various Automotive Manufacturers (e.g., FCA US, GM, Toyota, Ford, Honda). Verify program details on the funder's official page before applying.
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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
Generative AI for smarter CCAM: enhancing perception, decision-making, and validation (CCAM Partnership) is sponsored by European Commission — Horizon Europe. Expected Outcome: Project results are expected to contribute to all the following expected outcomes: Availability and integration of advanced, trustworthy, energy-efficient perception systems, exploiting technological advancements of Generative AI (GenAI) to enhance situational awareness and support safe decision-making; Enhanced Vulnerable Road User (VRU) safety, based on elevated, more temper-proof perception and understanding of their behaviour and intention predictions; Enhanced robustness of CCAM systems - both on-board and on the infrastructure side - in critical situations due to their training, virtual testing and validation in scenarios generated by GenAI, complementing existing scenario databases for the testing and validation of CCAM systems; Enhanced understanding of the relevance and limitations of using GenAI for CCAM; Tools and harmonised approaches for the use of GenAI in mobility technology development, training and validation, as well as for systemic applications such as traffic management and remote control, integrating them into existing approaches. Scope: Pilots and demonstrations using Level 3 and 4 vehicle services face major challenges in perception and decision making, highlighting the necessity for low-latency solutions that enhance responsiveness and situational awareness in real-time operating conditions. This is especially relevant for driving in more complex environments like urban areas, where environmental variance is higher and where new scenarios can be regularly encountered. Furthermore, there is the need to limit the latency, bandwidth and energy use for on-board calculations, as well as the need to enhance the security, privacy and reliability (e.g. scene understanding and prediction of near-future scenario development). For rapid decision-making in interactions with VRUs, this is essential for implementing CCAM-enabled solutions and ensuring scalability. At the same time, developments of sector-agnostic technologies show advancements -such as GenAI- that can be beneficial for CCAM. First exploratory steps can be expected from a project funded under HORIZON-CL5-2023-D6-01-02 [1] regarding the potential in the virtual generation of edge cases, which could be used for the development, training, virtual testing and validation of CCAM systems. Further advancements in GenAI applications specifically for the CCAM domain need to be developed, trained and validated [2] . Thus, proposed actions shall include approaches to exploit further technological advancements for CCAM. Major steps are needed to advance to highly advanced, ultra-safe, trustworthy and energy efficient real-time perception and decision-making systems for automated vehicles, specifically focusing on scalable solutions and the exploitation of GenAI. These advancements should leverage low latency systems or distributed computing resources to facilitate real-time processing, thereby improving system responsiveness and safety. This topic will thus contribute to the AI Continent Action Plan [3] by fostering AI development and adoption in the automotive sector. Proposed actions are expected to address all the following aspects: Development of tools and approaches for robust environment perception and decision making (at the edge, on-board, at infrastructure or back-office). These approaches shall aim at accelerating and advancing the reasoning of decision making, increasing the level of efficiency, (cyber)-security and reliability of the applications, with path planning as initial use case. This is to support amongst others the perception of VRUs, the prediction of their behaviour and their intentions, and includes data sharing approaches for CCAM solutions to create a larger time window for actions in near accident scenarios. The use of advanced GenAI, including Large Language Models (LLMs), Vision Language Models (VLMs) or Vision Language Action (VLAs) can significantly enhance these capabilities by leveraging their advanced contextual 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
Heather Gerken presents a revamped Ford Foundation strategy to trustees this fall. In January, staff split into three units — one refining the new strategy, one maintaining current grants, and one designing tie-off funding for grantees who are not in Ford's future. The new strategy runs from January 2028. Here is what that 24-month gap means for grantees and everyone who wanted to become one.
Read articleThe Ford Foundation committed $60M in democracy grants within 100 days of new leadership. What it means for nonprofits working on civic engagement, voting rights, and election integrity.
Read articleUnder new president Heather Gerken, Ford Foundation is routing $60M through Republican and Democratic election lawyers, veteran poll workers, and nonpartisan civic groups. The strategy reveals a new model for democracy grantmaking.
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