Responsible Conduct in Research: 2026

Research integrity is changing. Are you ready?

What happens when new technologies challenge established research practices?

• A research paper is retracted after its authors use generative AI without disclosure.
• A reviewer uses an LLM to handle a confidential manuscript.
• Hidden prompts are discovered inside academic manuscripts, apparently designed to influence AI-assisted peer review.

These are real and highly topical examples of the kinds of new dilemmas researchers are beginning to face.

At this interactive workshop, participants will work through real cases and emerging dilemmas involving research, authorship, peer review, publication, collaboration, and scientific integrity. Together, we will examine what happened, consider different perspectives, and discuss how researchers can navigate difficult situations in an evolving research environment.

The workshop introduces core principles of responsible conduct in research and explores how they apply in practice. Through presentations, interactive discussions, and case-based group work, participants will explore how to recognize ethical dilemmas, evaluate different courses of action, and make responsible decisions in an interdisciplinary research environment.

Topics and Cases

During the workshop, we will explore real cases and practical questions related to:

• The responsible and transparent use of generative AI in research
• Authorship, publication practices, and academic responsibility
• Confidentiality and the use of AI tools in peer review
• New challenges to the integrity of the peer-review process
• Data management, manipulation, and storage
• Working relationships and collaboration between colleagues
• Scientific misconduct and ethical decision-making
• Sources of guidance on good scientific practice
• Local structures supporting integrity and responsible research conduct

Who Should Attend?

The training is designed primarily for doctoral researchers and early-career scientists, while remaining open to all members of the research community. All doctoral researchers within the community are strongly encouraged to participate in this training at least once during their doctoral studies.

IMPRS-IS scholars will receive one program credit upon successful completion of the workshop.

Participants are expected to attend the full workshop.

Event Details

Date: Monday, October 19, 2026
Time: 13:30–16:30 CET
Location: Onsite at the Max Planck Institute for Intelligent Systems, Tübingen

Note: This event will be offered onsite at MPI-IS Stuttgart in 2027.

Organizers and Presenters

Dr. Sarah Danes: CLS Coordinator
Dr. Ana-Andreea Stoica: Scientific Ombudsperson, MPI-IS Tübingen
Dr. Vincent Berenz: Scientific Ombudsperson, MPI-IS Tübingen

Registration

Interested in participating? Please register via the registration button below.

All registrants will receive a confirmation email with further event details prior to the workshop.

Contact

For questions about the event, please contact: Sarah Danes – cls@tuebingen.mpg.de

For assistance with registration, please contact: Sara Sorce – sara.sorce@tuebingen.mpg.de