Learning Knowledge

Learning, knowledge, innovation: The change in knowledge production, organisation and transfer through digital innovation

“Knowledge is always preceded by intuition.”

If we follow Humboldt’s principle, we see that knowledge itself – its derivation, organisation and communication – is in a state of fundamental transformation. The trend towards interconnected research, the ongoing expansion of information infrastructures and digital innovation in teaching and learning illustrate this state of transformation. At the same time, the currently ongoing digitalisation calls for new ways of communicating information and transferring knowledge. It also begs the question whether artificial intelligence and human creativity can complement each other and what role AI will play in societal decision making as well as in the search for consensus.

Research programme III – Learning, knowledge, innovation: Changes in knowledge production, organisation and transfer through digital innovation

How does the digital society define knowledge production, organisation and transfer? The research programme learning, knowledge, innovation aims at not only understanding but also shaping this process. We combine approaches from economic sociology, educational science and innovation economics to discover findings with an interdisciplinary scope. In addition to our scientific publications, we develop know-how, science transfer formats and training for non-academics.

The programme learning, knowledge, innovation ties together research on the changing dynamics in knowledge production, organisation and transfer within three thematic priorities:

Knowledge transfer and impact
How do research results reach relevant stakeholders in politics, business and media and civil society? How should science be organised to meet its societal responsibilities in the age of digitalisation?

Innovation in education and teaching
In what way does digital innovation impact education in schools, businesses and the tertiary sector? How can the research community analyse and support profound structural changes in education?

AI and decision making
What role can  artificial intelligence play in political and economic decision making processes?

Current projects

On the basis of our research, we create our own science transfer as well as training formats. The setting up of the blog Elephant in the Lab has established a platform that discusses new forms of impact. In addition, the Impact School, a teaching concept for doctoral and post-doc researchers has been developed in cooperation with Leibniz Research Alliance Science 2.0. In cooperation with FZI Research Center for Information Technology, the research project DREAM started in 2018. The focus of the project lies on the development of a prototype as a web platform and as an app where researchers can promote and make their research results available for free.

Furthermore, in cooperation with Humboldt Universität zu Berlin, the goal is to produce empirical and international case studies that show the impact of integrating digital teaching and learning innovations in universities and learning success. In the next year, we are planning to enrich our research activities within the thematic priority ‘AI and decision making’.

 

Research team
Publications
Conference contribution and other activities
Research team

 

Publications

Journal Publications and Conference Proceedings:

Fecher, B., Fräßdorf, M., Hebing, M., & Wagner, G. G. (2017). Replikationen, Reputation und gute wissenschaftliche Praxis. Information - Wissenschaft & Praxis, 68(3). Publication details

Fecher, B., Friesike, S., & Hebing, M. (2015). What Drives Academic Data Sharing? PLOS ONE, 10(2). Publication details

Fecher, B. & Puschmann, C. (2015). Über die Grenzen der Offenheit in der Wissenschaft – Anspruch und Wirklichkeit bei der Bereitstellung und Nachnutzung von Forschungsdaten. Information - Wissenschaft & Praxis, 66(2-3), 146–150. Publication details

Edited Works:

Fricke, C., Meyer, S., Wagner, G.G. (2018). In Grenzen akzeptabel, . . Publication details

Gigerenzer, G., Müller, K.R. & Wagner, G.G. (2018). Wie man Licht in die Black Box wirft, . . Publication details

Rebitschek, F. G., Gigerenzer, G. & Wagner, G.G. (2018). Digitalisierung im Gesundheitswesen. Denken hilft der Gesundheit, . , 12. Publication details

Friesike, S., Fecher, B., & Wagner, G.G. (2018). Teach young scientists the importance of societal impact for research. nature international journal of science. Publication details

Fecher, B. (2018). Eine Reputationsökonomie. Der Wert der Daten in der akademischen Forschung. Wiesbaden, Hessen: Springer VS. Publication details

Fecher, B., Leimüller G., & Blümel, C. (2018). Das Potenzial strategischer Öffnung. Zukunft des deutschen Wissenschafts- und Innovationssystems. Stifterverband. Publication details

Fecher, B., Friesike, S., Hebing, M., & Linek, S. (2017). A reputation economy: how individual reward considerations trump systemic arguments for open access to data. Palgrave Communications, 3. Publication details

Fecher, B., Fräßdorf, M., Hebing, M., & Wagner, G. G. (2017). Replikationen, Reputation und gute wissenschaftliche Praxis. Information - Wissenschaft & Praxis, 68(3). Publication details

Rebitschek, F. G., Gigerenzer, G., & Wagner, G.G. (2017). Kritische Voraussetzungen für ein digitales Gesundheitswesen in Deutschland. Wirtschaftsdienst, 97(10), 699-703. Publication details

Fecher, B., Fräßdorf, M., Hebing, M., & Wagner, G. G. (2017). Replikationen, Reputation und gute wissenschaftliche Praxis. Information - Wissenschaft & Praxis, 68(3). Publication details

Fecher, B. (2016). “Mehr Licht” Offenheit muss sich lohnen. Laborjournal Online. Publication details

Scheliga, K., Friesike, S., Puschmann, C., & Fecher, B. (2016). Setting up crowd science projects. Public Understanding of Science, 1-20. Publication details

Fecher, B. & Wagner, G. (2016). Open Access, Innovation, and Research Infrastructure. Publications, 4(2). Publication details

Fecher, B. & Wagner, G. (2016). A research symbiont. Science, 351(6280), 1405-1406. Publication details

Fecher, B., Friesike, S., & Hebing, M. (2015). What Drives Academic Data Sharing? PLOS ONE, 10(2). Publication details

Fecher, B. & Puschmann, C. (2015). Über die Grenzen der Offenheit in der Wissenschaft – Anspruch und Wirklichkeit bei der Bereitstellung und Nachnutzung von Forschungsdaten. Information - Wissenschaft & Praxis, 66(2-3), 146–150. Publication details

Fecher, B. & Friesike, S. (2014). Sharing Data in Academia. International Conference on Infrastructures and Cooperation in e-Science and e-Humanities. Publication details

Fecher, B. & Friesike, S. (2013). Open Science: One Term, Five Schools of Thought. RatSWD Working Paper Series. Publication details

 

Conference contribution and other activities

Activities:

Open Access: Eine Frage der Infrastruktur
16. KOBV-Forum 2018: Von Openness, Schranken und Veränderungen . KOBV-Zentrale. Takustraße 7, Berlin, Germany: 27.06.2018

Dr. Benedikt Fecher

Expertenworkshop: Technische Anforderungsanalyse im Vorfeld der Entwicklung der DREAM-Applikation
From 15.05.2018 to 16.05.2018. FZI Forschungszentrum Informatik, Karlsruhe, Germany. Co-Organised by: FZI Forschungszentrum Informatik (National)

Nataliia Sokolovska

Inhaltliche Anforderungsanalyse im Vorfeld der Entwicklung der DREAM-Applikation
Expertenworkshop. From 15.03.2018 to 15.03.2018. Humboldt Institut für Internet und Gesellschaft, Berlin, Germany. Co-Organised by: FZI Forschungszentrum Informatik (National)

Nataliia Sokolovska


Berliner Bibliothekswissenschaftliches Kolloquium . Institut für Bibliotheks- und Informationswissenschaften, Berlin, Germany: 24.06.2018

Dr. Benedikt Fecher

Innovative research infrastructures
Open research: rethinking scientific collaboration Vortrag zu innovativen Forschungsinfrastrukturen bei der Konferenz "Open Research: rethinking scientific collaboration" Perimeter Institute for Theoretical Physics. Perimeter Institute for Theoretical Physics, Waterloo, Canada: 28.03.2018

Dr. Benedikt Fecher

Transfer research
Aktivität nicht korrekt erstellt: Kein Typ Angegeben. Acquisition

Pelagios Commons
Aktivität nicht korrekt erstellt: Kein Typ Angegeben. Acquisition

DREAM
Aktivität nicht korrekt erstellt: Kein Typ Angegeben. Acquisition

Fellow: Alexandra Giannopoulou. Type of affiliation: Fellow. Home Institution: Institut des sciences de la communication CNRS / Sorbonne Université. From: 01.04.2018 to: 30.09.2018Director in Charge: Benedikt Fecher

Alexandra Giannopoulou

Berufsbildung 2018: Wo bleibt die e-Didaktik?
Bildungsmesse „didacta“. Bildungsmesse "didacta". Messegelände Hannover, Hannover, Germany: 22.02.2018

Thomas Schildhauer

Expertenworkshop: Automatisierte Zensur? Technische Lösungen zur Regulation politischer Online-Kommunikation Universität Münster, Karlsruher Institut für Technologie. Universität Salzburg, Salzburg, Austria: 26.04.2018

Kirsten Gollatz