Top 10 Funding Opportunities:

DRIVE35 Innovation Fund: Collaborate – Industrial Research

This competition aims to support businesses with late stage collaborative research and development projects that will support the UK’s transition to zero emission vehicles and a pathway to a net zero automotive industry.

DRIVE35 Innovation Fund: Collaborate – Experimental Development

This competition aims to support businesses with late stage collaborative research and development projects that will support the UK’s transition to zero emission vehicles and a pathway to a net zero automotive industry.

Next-Generation AI Agents for Real-World Applications in the Apply AI sectors (RIA) (Partnership in AI, Data and Robotics)

The results of the projects supported under this topic are expected to contribute to outcomes including, but not limited to, significant improvements in the autonomy, robustness and reliability of AI agents through advanced planning mechanisms, memory management, and reasoning capabilities.

Apply AI: Next-Generation Agile and Intelligent Robotics Platforms for Industrial and Service Applications (Partnership in AI, Data and Robotics) (RIA)

The results of the projects supported under this topic are expected to contribute to outcomes including, but not limited to, novel robot design technique, materials and control techniques for flexible and meticulous manipulation of robots in an unstructured environment, with high autonomy and in collaboration with humans.

Energy Efficient Urban and Sub-Urban Public Transport, Complemented by Shared Mobility

The results of the projects supported under this topic are expected to contribute to outcomes including, but not limited to, enhanced assessment tools to quantify the direct benefits and associated co-benefits of decarbonised urban mobility service car fleets and of new shared mobility solutions complementary to public transport, the trade-off analysis between different solutions and the recommendation of the most suitable implementation strategies, thereby helping to attract public investments.

Introducing Circular Economy Models in the Construction Sector, from Buildings to City Scale

The results of the projects supported under this topic are expected to contribute to outcomes including, but not limited to, a measurable increase in the number of tools and solutions at district or city level that are supporting the application of circular economy models by public and private stakeholders active in the construction sector.

Leveraging Long-Term Field Experiments and Other Datasets to Develop AI-ready Decision Support Systems for Sustainable Soil Management

The results of the project supported under this topic are expected to contribute to outcomes including, but not limited to, enhanced adoption of impactful sustainable soil management solutions and strategies supported by AI-powered decision support systems by land managers.

New or Enhanced Innovative Advanced Materials (IAM) Enabled Sensing Functionality (RIA)

The results of the projects supported under this topic are expected to contribute to outcomes including, but not limited to, new technological solutions with improved performance and reduced energy and environmental impact consumption providing significant advances towards the emergence of competitive value chains in IAM-based sensing components in Europe.

Boosting Data Availability and AI Solutions in Food for Consumers and Food Service Professionals

The results of the projects supported under this topic are expected to contribute to outcomes including, but not limited to, generative AI solutions for consumers and food service professionals having significantly scaled-up and improved the productivity and sustainability (including for mitigation of climate change) of food purchasing, preservation and preparation, and enabled dietary health.

Antimicrobial Resistance and Antibiotic Biosynthesis in Soils: Developing Key Understanding and Counteractive Strategies using a One-Health Approach

The results of the projects supported under this topic are expected to contribute to outcomes including, but not limited to, policymakers, land managers and other relevant stakeholders having an enhanced understanding of antimicrobial resistance development in soils, the key drivers and pathways of soil’s contribution to human and animal exposure to antimicrobial resistant genes and organisms, as well as antibiotic biosynthesis in soils.