Call for Abstracts: "Generative AI at the workplace: Challenges and implications for knowledge-intensive work"

Please read the complete CfA (PDF) here.

Special topic guest editors

• Linda Nierling, Institute for Technology Assessment and Systems Analysis (ITAS), Karlsruhe Institute of Technology, Karlsruhe, DE,
• Reinhard Heil, Institute for Technology Assessment and Systems Analysis (ITAS), Karlsruhe Institute of Technology, Karlsruhe, DE,
• Felix Gnisa, Institute for Technology Assessment and Systems Analysis (ITAS), Karlsruhe Institute of Technology, Karlsruhe, DE,
• Britta Kirchhoff, Federal Institute for Occupational Safety and Health (BAuA), Dortmund, DE, kirchhoff.britta@baua.bund.de,
• Ulrike Rösler, Federal Institute for Occupational Safety and Health (BAuA), Dresden, DE.

How to submit:

• We recommend the submission of manuscripts in English (US), but German versions are also welcome.
• Please submit your abstract by 19 march 2026 at the latest.
• Length of the abstract: max. 1.5 pages.
• The editorial office will contact the author submitting the abstract.
• Please state full names, e-mail addresses, and institutional affiliations of all co-authors.

Editorial process outline:

• 19 March 2026: Submit your abstract
• March 2026: Notification of invitation or rejection to submit research articles
• June 2026: Submit your research articles, followed by peer review
• September 2026: Feedback from the reviewers, followed by revision by the authors
• October 2026: Submission of the revised research articles
• December 2026: Further revisions, if necessary
• February 2027: Editorial deadline
• March 2027: Publication (print and online)

TATuP - Journal for Technology Assessment in Theory and Practice is the international and peer reviewed open access journal for the interdisciplinary field of technology assessment and neighboring fields of research.