Graduate School of health and Medical Sciences

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Research in the Age of AI - AI in your own research workflow
Provider: Faculty of Health and Medical Sciences

Activity no.: 3993-26-00-02	There are 253 available seats
	Enrollment deadline: 20/10/2026

Date and time	27.10.2026, at: 14:30 - 15:45
Regular seats	300

Contact person	Mia Dabelsteen E-mail address: mia.dabelsteen@adm.ku.dk

Enrolment Handling/Course Organiser	PhD administration SUND E-mail address: phdkursus@sund.ku.dk

Enrolment guidelines This session is open for PhD students and postdocs with an interest in the topic at the Faculty of Health and Medical Sciences Content Where does generative AI fit into your research – and where should you remain firmly in control? In this interactive workshop, you will map your own research workflow and consider where AI may be useful, where careful evaluation is needed, and where human judgement should remain central. We will introduce the concepts of centaurs and cyborgs as different ways of thinking about human–AI collaboration and use them to explore low- and high-stakes research tasks. The session combines a short expert input with reflection and discussion based on your own research practice. No prior experience with generative AI is required. Facilitated by Nicole Schmitt. About the speaker • Nicole Schmitt is professor in Blended Learning at the Dept. of Biomedical Sciences at SUND. She is elected chairperson of the PhD Study Board at SUND and leader of SUND’s Centre for Online and Blended Learning. Time and date: Tuesday 27 October 2026, 14:30-15:45. Registration: Please register no later than 20 October 2026. Venue: Panum, Blegdamsvej 3B, Maersk Tower, 1.st floor, Jerne Auditorium. Organizer: Mia Dabelsteen, mia.dabelsteen@adm.ku.dk, senior consultant, The Graduate School. ----- Research in the Age of AI is a series of interactive 75 min-sessions for PhD students and postdocs at HEALTH exploring how generative AI is changing research practice. Each session focuses on a specific aspect of research and combines a short expert input with reflection, discussion and exchange across disciplines. The aim is to support informed and responsible use of AI while keeping scientific judgement, research integrity and researcher responsibility central. Sessions can be attended individually.

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