Artificial Intelligence for knowledge valorisation (CSA)
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See in 5 min if you're eligible for Artificial Intelligence for knowledge valorisation (CSA) offering max €45.0M funding💰 Funding Details
Artificial Intelligence for Knowledge Valorisation (CSA)
Quick Facts
- Call Identifier: HORIZON-CL4-INDUSTRY-2025-01-HUMAN-62
- Programme: Horizon Europe – Cluster 4 “Digital, Industry & Space” (Destination 6 – Digital & industrial technologies driving human-centric innovation)
- Type of Action: Coordination & Support Action (HORIZON-CSA, Lump-Sum Grant)
- Total Indicative Budget: Up to €45 million (expected to fund 1–2 large-scale projects)
- Opening Date: 22 May 2025
- Deadline: 23 September 2025, 17:00 (Brussels time)
- TRL Focus: Non-technological – emphasis on tools, methodologies, networking & capacity-building rather than new R&D.
Policy Rationale
Europe excels in scientific excellence but lags in turning results into economic and societal value—the *innovation paradox*. This CSA seeks to reverse that trend by deploying AI and machine-learning to accelerate valorisation of research outputs across at least 100 diverse use-cases. The action aligns with:
1. EU AI Act & ethics guidelines (trustworthy, human-centric AI).
2. Apply AI Strategy / GenAI4EU – ensuring SMEs & public sector benefit from GenAI.
3. Knowledge Valorisation Platform & Codes of Practice – improving exploitation of intellectual assets.
4. Industry 5.0 vision – technology that is sustainable, resilient and *human-centric*.
What the CSA Must Deliver
1. AI-Powered Valorisation Toolbox
• One-stop digital suite integrating scouting, IP landscaping, market intelligence, investment matchmaking, legal/ethical checkers, citizen-insight modules.
• Fully compliant with EU data-protection & AI-ethics frameworks.
2. Pilot & Validate in ≥ 100 real cases
• Covering varied TRLs, sectors, and societal challenges.
• Produce roadmaps, business plans & policy uptake pathways.
3. Knowledge Base & Best-Practice Guide on *responsible* AI for valorisation.
4. Multi-stakeholder Engagement Mechanism
• Actively involve SMEs, social enterprises, NGOs, investors, public authorities & local communities.
5. Capacity-Building & Training for R&I actors across your country and associated states.
6. Dissemination & Standardisation Actions to mainstream the toolbox across EU ecosystems.
Funding Mechanics
- Lump-Sum Model: The project negotiates a single global budget; payment tranches follow milestone acceptance—no individual cost reporting.
- Eligible Participants: Any legal entity in EU & associated countries; encourage balanced consortia including AI developers, TTOs, accelerators, social-science specialists & standardisation bodies.
- No max grant size per partner, but consortium must justify budget vs. ambitious pan-EU reach.
Competitive Edge
A winning proposal will convincingly demonstrate that it can reach, onboard and transform > 1,000 R&I teams, scale the toolbox beyond the project’s life, and feed evidence into EU policy (e.g., Horizon Europe Strategic Plan, ERA Policy Agenda).
📊 At a Glance
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🇪🇺 Strategic Advantages
EU-Wide Advantages & Opportunities for the CSA "Artificial Intelligence for Knowledge Valorisation"
1. Single Market Access – 450+ Million Potential Users
• Pan-European customer base: A valorisation toolbox conforming to EU law can be rolled out simultaneously in all 27 Member States, giving each of the 100+ use-case owners instant access to a consumer and B2B market larger than the US.
• Unitary IP protection: By leveraging the Unitary Patent and the forthcoming Unitary Supplementary Protection Certificate (SPC), AI-assisted patent drafting in the project can secure affordable, uniform protection, lowering IP costs by 70-80 % versus national filings.
• Public procurement at EU level: Tools validated under Horizon Europe can later qualify for Pre-Commercial Procurement (PCP) or innovation procurement financed from ESIF/Recovery Facility budgets, multiplying uptake opportunities.
2. Cross-Border Collaboration & Knowledge Exchange
• Mandatory consortia diversity: Horizon-CSA rules require at least three independent legal entities from three different eligible countries, automatically embedding multinational co-creation.
• Living labs in multiple regions: Deploy at least 100 AI-guided valorisation pilots across varied innovation ecosystems (e.g. Germany’s Fraunhofer, Estonia’s e-Residency startups, Spain’s bioeconomy clusters) to capture cultural and sectoral diversity.
• Open-source community building: Align with AI-on-Demand Platform, European Language Grid and Gaia-X Data Spaces to crowd-source datasets, algorithms and best practices, reducing duplication across borders.
3. Alignment with Flagship EU Strategies
| EU Strategy | Concrete Alignment Opportunity |
|-------------|---------------------------------|
| EU Green Deal | Prioritise use-cases that turn research into green-tech products (e.g. AI-optimised recycling processes). |
| Digital Europe & GenAI4EU | Re-use HPC, cloud and GenAI compute vouchers for model training; ensure toolbox is “compliant-by-design” with the AI Act. |
| SME Strategy | Engage Enterprise Europe Network (EEN) nodes to recruit SMEs for the 100 pilots and channel them towards the Single Digital Gateway for market entry support. |
| New European Innovation Agenda | Feed resulting policy insights into Flagship 4 (Talent & Deep-Tech) and national Innovation Agendas via the ERA Forum. |
4. Regulatory Harmonisation Advantages
• AI Act readiness: Building the toolbox around forthcoming harmonised requirements (risk classification, conformity assessment, transparency) removes legal fragmentation barriers for innovators.
• Data Governance Act & Data Act: Common rules on data sharing allow cross-border training datasets to be pooled legally and ethically.
• Unified standardisation pathway: Liaise with CEN-CENELEC Focus Group on Trustworthy AI to translate project outputs into European Standards (EN) that are valid EU-wide.
5. Access to Europe’s Innovation Ecosystem
• Research infrastructures: Tap into ESFRI nodes (e.g. ELIXIR for life-science data, EuroBioImaging) to source high-quality datasets.
• Partnerships & KICs: Co-implement pilots with EIT Digital, Manufacturing and Health to exploit existing accelerator services.
• Talent pool: Use Marie-Skłodowska-Curie (MSCA) placement schemes or Erasmus+ Knowledge Alliances for AI ethics and SS&H expertise.
6. Funding Synergies & Leverage
1. EIC Transition & Accelerator: Mature top-performing use-cases into deep-tech start-ups with blended finance up to €17.5 m each.
2. Digital Europe Programme (DEP): Apply for Large-Scale Pilot funding to industrialise the toolbox post-CSA (up to €30 m per pilot).
3. Interregional Innovation Investments (I3): Enable cross-regional roll-out for TRL 6-9 solutions in smart specialisation domains.
4. ERDF / ESF+: Regional authorities can fund training modules and adoption vouchers for SMEs using the AI toolbox.
7. Scale & Impact Potential
• Critical mass of 100+ pilots: Generates statistically significant evidence on AI-driven valorisation, creating a de-facto EU benchmark.
• Replicability: Toolbox packaged as open modular micro-services (API-first) facilitates translation into all EU languages via eTranslation, fostering broad adoption.
• Policy feedback loop: Aggregated insights feed directly into the Commission’s Knowledge Valorisation Platform and the upcoming Code of Practice on Intellectual Assets, influencing future legislation.
• Economic impact: Even if only 20 % of pilots achieve commercialisation, the project could unlock ~€500 m in new turnover (assuming €25 m avg. revenue five years post-project), supporting strategic autonomy.
8. Unique Strategic Value of Operating at EU Scale
• Network effects: A single, EU-wide AI valorisation ecosystem avoids the fragmentation that plagues national initiatives, creating superior data network effects and model accuracy.
• Brand trust: EU endorsement and conformity with the AI Act increases user and investor confidence versus purely national solutions.
• Cost efficiency: Shared development of the toolbox under a lump-sum CSA spreads R&D cost over multiple countries and sectors, reducing per-participant expense.
• Geopolitical relevance: Positions Europe as a first mover in responsible AI for knowledge valorisation, reinforcing open strategic autonomy and influencing global standards.
9. Actionable EU-Wide Opportunities for Applicants
1. Build a consortium of 10-15 partners spanning at least 10 Member States, mixing universities, RTOs, SME clusters, digital innovation hubs and SS&H experts.
2. Integrate with existing EU platforms (AI-on-Demand, European Open Science Cloud, EIC Business Acceleration Services) instead of reinventing the wheel.
3. Allocate work packages to: (a) regulatory watch & AI-Act compliance, (b) IP & data governance, (c) pilot orchestration, (d) stakeholder matchmaking, (e) policy & standardisation outreach.
4. Secure Letters of Support from national valorisation agencies and EEN nodes to guarantee rapid post-project uptake.
5. Design the toolbox as an interoperable component of Europe’s forthcoming "Apply AI" strategy, ensuring sustainability and potential follow-up funding.
🏷️ Keywords
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