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

Lutz Peschke (), Kianush Monschau, Frans Folkvord, Seldağ Güneş Peschke and Rens Schoot
Additional contact information
Lutz Peschke: Başkent University
Kianush Monschau: Utrecht University
Frans Folkvord: PredictBy Research
Seldağ Güneş Peschke: Ankara Yıldırım Beyazıt University
Rens Schoot: Utrecht University

Journal of Innovation and Entrepreneurship, 2025, vol. 14, issue 1, 1-18

Abstract: 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.

Keywords: Mode 3; Screenathon; Knowledge economy; Artificial intelligence; Large Language Model (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:

Downloads: (external link)
http://link.springer.com/10.1186/s13731-025-00563-z Abstract (text/html)
Access to the full text of the articles in this series is restricted.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:joiaen:v:14:y:2025:i:1:d:10.1186_s13731-025-00563-z

Ordering information: This journal article can be ordered from
https://innovation-e ... ip.springeropen.com/

DOI: 10.1186/s13731-025-00563-z

Access Statistics for this article

Journal of Innovation and Entrepreneurship is currently edited by Elias G. Carayannis

More articles in Journal of Innovation and Entrepreneurship from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().