External Collaborative Research (ECR)

The Sony Research Award Program is Sony's principal channel for funding external academic research, and the Focused Research Award is its collaborative track: up to 150,000 dollars for focused joint research between a university or research institute and Sony. The 2026 research areas are unusually broad for a corporate program and cover most of the modern AI stack alongside Sony's hardware interests - AI and large language models, computer vision, machine learning, robotics, human-computer interaction, affective computing, speech and language technologies, audio technologies, RF sensing, wireless communications, cybersecurity, sports technology, digital humans, generative AI, content creation and neural rendering, plus device-level areas including MicroLED and optical metasurfaces. For AI and robotics groups this makes it one of the wider corporate calls available, though the breadth is deceptive: Sony funds work that connects to its own research agenda, and proposals are strongest when there is an identifiable Sony research counterpart for the collaboration. Eligibility is tightly drawn around the principal investigator rather than the institution. The PI must be a full-time faculty member or researcher at a recognized institution - Assistant Professor, Associate Professor, Professor or equivalent researcher - and must be able to supervise PhD students. Co-PIs are permitted but must be from the same institution and meet the same requirements, which rules out the cross-institutional consortia common in public funding. The 2026 deadline is 15 September 2026 at 11:59pm Pacific, with a separate India-specific time given as 16 September 2026. Submission guidelines are on the Sony Research Award Program site.

Boosting agrobiodiversity for food security and sustainable competitiveness is sponsored by European Commission — Horizon Europe. Expected Outcome: Project results are expected to contribute to all of the following expected outcomes: land managers, farmers, foresters, agri-businesses (including SMEs), and policy makers gain access to practical knowledge of clear demonstrations of benefits and trade-offs associated with biologically diversifying their agroecosystem; farmers, land managers and foresters are incentivised and rewarded for implementing practices that improve agrobiodiversity, leading to higher incomes and long-term sustainability and resilience of agriculture, greater food security, competitiveness, and healthier ecosystems; enhanced capabilities for farmers to store, process, and market their diverse raw materials and products, derived from greater agrobiodiversity, while improving their market access and strengthening their position within the value chain. Scope: Genetic erosion poses a significant threat to agricultural resilience, as genetic diversity is crucial for crops to withstand environmental stresses such as climate variations, pests, and diseases. As the global population grows, the demand for increased food production often drives large-scale agriculture, which compromises biodiversity and long-term productivity. While promoting and expanding agrobiodiversity enhances agricultural resilience, socio-economic obstacles hinder broader adoption. Beyond highlighting the importance of conserving agricultural biodiversity for food security, it is essential to demonstrate its role in enhancing food production, increasing farmers' incomes, and safeguarding livelihoods against environmental challenges. A significant obstacle to a wider adoption of more diversified production systems, is perceived risk in that process, in terms of yield, (marginal) income, lack of demand, stable and sufficient pricing, and potential increase of pests. Proposals should: quantify the contribution of agrobiodiversity (including soil microorganisms), mainly at parcel/farm level, considering both species abundance and composition, and its economic impact, in particular in regard to food security, such as yield stability, nutritional quality, nutrient cycling and resilience to pests and diseases; develop solutions and strategies to scale successful agrobiodiversity practices tailored to local, regional and national levels to strengthen farmers’ financial position in adopting more diversified production systems; test how instruments for mobilising private finance, such as nature credits, could enhance the competitiveness of farmers, foresters and other land managers, including by opening up new opportunities of income; build on and develop a decision support tool analysing the risk of diversifying production systems, in terms of yield, marketability, pricing, pests and diseases, hazard assessment of adverse organisms, genes and chemicals, and more, to assist farmers, breeders and agribusinesses in farm diversification; provide recommendation for farmers, breeders, agricultural organizations, and agribusinesses for risk mitigation in adoption of wider varieties and marketability of non-conventional crops and local breeds produced in lower volumes ; define and evaluate the costs of farm diversification, in terms of labour and management complexity, and explore how these may be offset via lower costs of external inputs. Identify behavioural determinants in different socio-economic and cultural contexts to adoption of biodiversity friendly practices; explore pathways for the valorisation of products, including tailored food processing and storage, relevant risk assessments for new methods/varieties, and strengthened collaboration with food industries. The projects under this topic are relevant to the EU policies related to the EU Vision for Agriculture and Food, the biodiversity strategy for 2030, the EU Action Plan for the Development of Organic Production [1] , the Nature Credits Roadmap [2] , and the EU Nature Restoration Regulation. The Joint Research Centre (JRC) Programme areas: Horizon Europe (HORIZON), Global Challenges and European Industrial Competitiveness, Food, Bioeconomy Natural Resources, Agriculture and Environment, Agriculture, Forestry and Rural Areas Keywords: Agricultural economics, Agrobiodiversity, Agronomy, Biodiversity conservation, Environmental sciences, Other agricultural sciences, Agriculture, Biodiversity, Climate, Competitive, Ecosystem services, Food security, Genetic diversity, International cooperation, Organic, Sustainable competitiveness

Grand Challenge on Quantum Sensors for Inertial Navigation is sponsored by European Commission — Horizon Europe. Expected Outcome: This topic is the first phase of a two-phase competitive structure supported by Horizon Europe, implemented via a Coordination and Support Action (CSA) in close collaboration with the European Investment Bank (EIB). Phase 1 (this topic): A CSA focused on readiness-analysis in terms of exploitation and investments, benchmarking the commercial viability of quantum enabled navigation systems. The aim is to deliver concrete outputs that improve the conditions for use of the supported projects through credible technical, industrialisation and financial roadmaps, validated against investor requirements (e.g. EIB, InvestEU). Activities also include analyses of investor-readiness and supply-chain sovereignty. Phase 2: For further information, see the indirectly managed action “HORIZON-CL4 Quantum Top-Up to InvestEU: Grand Challenge Phase 2” in the Cluster 4 part of the Horizon Europe 2026/2027 Work Programme. This CSA is designed to allow the best possible application in Phase 2 and the current CSA results may therefore inform applications by beneficiaries to investment support managed by the EIB under InvestEU (separate procedures). Under Phase 1 projects are expected to establish a comprehensive technical and financial roadmap that demonstrates the potential of the proposed Q-INS solutions, and at least deliver evidence-based design and benchmarking packages for reduced-scale systems ( such as documentation, test/benchmark reports and evidence of pre-existing or externally financed prototypes) in one of the following two categories: Category 1 (cold-atoms Q-INS) : Q-INS based on cold-atom interferometry (or other technology of at least equivalent performance) featuring long-term navigation accuracy (<10 m/hour) due to reduced drift with respect to commercial Inertial Measurement Units (IMUs). End-user requirements together with documented benchmark evidence from existing or externally financed prototypes will be collected for demonstrations in maritime or aviation applications. Category 2 ( Chip-scale Q-INS ): Low C-SWAP Q-INS measuring acceleration, rotation rate, and/or magnetic field, aimed at the implementation of chip-scale sensors based on defect centres and vacancies in crystals or on warm atomic vapours (including nuclear magnetic resonance), for applications e.g. in small satellites, UAVs, and autonomous transport. Proposals should target systems that are already sufficiently mature to enable credible benchmarking and industrial road-mapping. Specific expected outcomes include: A detailed technical roadmap, including system architecture, integration strategy, performance milestones, risk assessments and industrialisation plan for scalable production The industrialisation plan should be validated in conjunction with the EIB requirements, including commercialization timelines, and should include at least the following: Detailed Q-INS architecture based on quantum sensing techniques hybridised with classical IMUs, Compliance assessment for SWaP-C requirements, environmental resilience, and real-world integration, An assessment of dependencies on non-EU suppliers of critical components and proposal of effective mitigation measures in view of a sovereign supply chain, Potential list of end-users to capture system requirements and use-case constraints A comprehensive financial roadmap and viability assessment covering business models, market analyses, commercialization pathways, revenue projections and investment criteria Documented lab-validation/benchmarking of an existing or externally financed prototype (no EU funding of R&I or prototype development in this CSA), with preliminary benchmark results. An application strategy identifying target sectors (maritime, aviation, space, autonomous systems) and quantifiable advantages over classical IMUs. Scope: The Grand Challenge on Quantum Sensors for Inertial Navigation aims to advance the development of quantum-enabled navigation systems for use in GNSS-deni Programme areas: Horizon Europe (HORIZON), Global Challenges and European Industrial Competitiveness, Digital, Industry and Space Keywords: Quantum Technologies (e.g. computing and communication), EuroHPC, Quantum Inertial Navigation, Quantum Technologies