Mode 3 knowledge production and exchange processes of research and innovation networks in AI-based research environments


Peschke L., Monschau K., Folkvord F., GÜNEŞ PESCHKE Z. S., van de Schoot R.

Journal of Innovation and Entrepreneurship, vol.14, no.1, 2025 (Scopus) identifier

  • Publication Type: Article / Article
  • Volume: 14 Issue: 1
  • Publication Date: 2025
  • Doi Number: 10.1186/s13731-025-00563-z
  • Journal Name: Journal of Innovation and Entrepreneurship
  • Journal Indexes: Scopus
  • Keywords: Artificial intelligence, Knowledge economy, Large Language Model, Mode 3, Screenathon
  • Ankara Yıldırım Beyazıt University Affiliated: Yes

Abstract

Sustainable research and innovation activities are mainly executed in collaborative networks consisting of stakeholders from academia, the economy, politics, and the media-based public considering the knowledge of the natural environment of societies. AI-based tools play an increasing role in knowledge production processes in all stakeholder communities. However, with a view to Mode 3 knowledge production, the context of the deployment of AI-based tools in a creative knowledge environment is not systematically analyzed. This paper focuses on a so-called Screenathon as a new format of knowledge production and knowledge exchange that integrates AI-based tools as a knowledge-producing entity. It follows the concept of an academic firm where creative knowledge environments are the central aspect in the combination of different principles of knowledge production. The Screenathon was executed for 2 days in Utrecht, The Netherlands, where 26 stakeholders from science, economy, politics, industry, and the professional public came together to screen > 12,000 papers about processes in the context of patient-generated health data (PGHD). The papers are the output of an AI-based literature review tool, ASReview. The Screenathon is, therefore, the second step in which the publications found are sorted by human activity into on-topic and off-topic papers. The screening of the papers were proceeded in different cultural locations in the city of Utrecht. In the present paper, the authors evaluate the interplay of a creative knowledge environment and an AI-based learning environment with the help of the Sociology of Knowledge Approach to Discourse (SKAD). It contributes to the understanding of AI’s impact on Mode 3 knowledge production and how it stimulates new forms of academic and educational systems. It could additionally juxtapose communicating and interpreting action in the context of meaning-making as the basis of social systems and include the discussion about the change of the self-rationale in the system knowledge.