KnowledgeAnalytics

Due to the rapid advancements in data analytics (technologies, methods, skills), decision-making is increasingly becoming data-driven.

The application of advanced analytics has immense potential to promote efficiency in a wide range of fields - the transfer of knowledge (KT) between science and business and knowledge valorisation is not an exception.

Realising this opportunity, KnowledgeAnalytics aims to explore the opportunities provided by artificial intelligence, big data, data scraping, data visualization and other technologies to develop efficient public interventions dedicated to supporting KT between science and business.

The adoption of advanced analytics in R&D&I policy is particularly important to move towards evidence-based and targeted policy interventions. However, this transition is challenging not only for public sector organizations (policymakers, policy analysts) but also for science and research organizations, the business community and others involved, as it requires the application of new working methods and technologies, increased competencies, and implementation of changes in organizational culture, data management, etc.

Therefore, KnowledgeAnalytics will facilitate:
- mutual learning,
- knowledge exchange,
- and capacity building between participating territories (Lithuania, Slovakia, Czech Republic, Spain, Finland, Belgium and Estonia) to learn from each other about the developed and applied solutions and technologies to support evidence-based KT.

All in all, KnowledgeAnalytics will improve regional and national policies to accelerate the efficient transition towards a knowledge-based economy, where knowledge is applied beyond research institutions to develop new products, services or solutions useful for social and economic development.