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Opportunities and Risks of Using AI Technologies in Transdisciplinary Research

This report is for scientists and science communicators who participate in transdisciplinary research processes. The use of AI technologies in professional contexts is subject to uncertain-ties: What technologies are already out there and for which tasks can I use them? Will they help me get my work done? Are they worth giving up the routines that have served me well and learning new ones? Can I use AI, and what are the risks?

The report provides practical guidance and supports well-informed decisions on the use of AI in transdisciplinary research projects. Although the focus is on scientific actors, the information in the report may be of interest to other stakeholders in the TDR environment. It highlights the opportunities and risks associated with the use of AI, providing a basic yet targeted introduction to its possibilities and limitations in transdisciplinary research.

Publication Info

Published in

ISOE-Materialien Soziale Ökologie. 77 (2025) Frankfurt am Main:

Availability

DOI: doi.org/10.5281/zenodo.15535709

ISBN/ISSN: 1614-8193

Access publication online (isoe.de)

Quote

Keil, Florian, Melina Stein (2025): Opportunities and Risks of Using AI Technologies in Transdisciplinary Research. ISOE-Materialien Soziale Ökologie, 77. Frankfurt am Main. DOI: 10.5281/zenodo.15535709

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Research Unit

Transdisciplinarity

Transdisciplinarity is essential for transformation-oriented sustainability research because the complex challenges associated with social-ecological transformations cannot be solved within the boundaries of individual disciplines. These challenges require the collaboration of natural, social, and engineering sciences and the humanities, as well as of actors from politics, business, and civil society.

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