Artificial Intelligence for knowledge valorisation (CSA)

Expected Outcome:

Proposals are expected to contribute to the following outcomes:

• Swiftly valorise research results by market, society or policy making, powered by AI;
• Tackle the innovation paradox in Europe, by supporting R&I actors to valorise their research through relevant AI tools;
• Use AI to deliver valorisation roadmaps, business plans, partnerships and guide market uptake strategies in at least 100 use cases of research-based innovative solutions addressing societal challenges.

Scope:

Artificial intelligence and machine learning present enormous opportunities to use scientific knowledge and research results faster and more effectively to create value, develop new products and services and address the needs of our societies. Despite leading in many fields of scientific research, Europe falls short in innovation and valorisation performance (what is known as “the innovation paradox”). Harnessing the power of AI to guide the efforts of researchers and innovators to bring results to the market, make their research more responsive to the needs of society and provide knowledge to inform public policies, can significantly contribute to addressing the innovation paradox. From results scouting to patent drafting, the role of AI to support knowledge valorisation presents ever-growing possibilities.

One of the main reasons hampering valorisation of the knowledge generated by R&I actors in Europe is that researchers and innovators are not always aware of the valorisation opportunities of their research results and may struggle to adopt a concrete plan on how to generate value from their research.

This topic aims to support R&I actors to use AI to support the uptake of research results by market and society. This entails the identification of appropriate existing tools and instruments and the testing of AI -powered valorisation plans in at least 100 cases.

The action will provide an AI -powered valorisation toolbox, which will take into account EU policy and regulations on AI-ethics, as well as social sciences and humanities aspects, and can be used by researchers and innovators to identify the opportunities for valorisation as well as for guiding them towards market and societal uptake. This may include using AI for assessing feasibility under conditions, investigating legal frameworks that may be relevant to the uptake of the solutions, providing guidance on supporting instruments and funding mechanisms, supporting matching with investors, providing knowledge on the sector, investigating institutional and cultural aspects, citizens and consumer preferences. The use of AI may also focus on the efficient use of intellectual assets to raise awareness and guide R&I actors for the smart management of intellectual assets.

The action will also support multistakeholder collaboration for valorisation, by identifying and promoting dynamic stakeholder interaction opportunities to optimise outreach and engagement, e.g. by engaging SMEs, social enterprises, NGOs and local communities. Drawing of the testing of at least 100 cases of AI- powered valorisation from research results to the market, the action will also develop a knowledge base for insights and best practices, principles and guidance to ensure a responsible use of AI for knowledge valorisation benefiting society.