Principles of good scientific practice can be violated in many ways, from improper application of scientific methods or documenting data, to serious scientific misconduct through deliberate falsification or deceit. This workshop will provide an introduction to these important topics, with subject-specific input from senior IMPRS-IS and CLS researchers.
Scientific honesty and the observance of the principles of good scientific practice are essential in all scientific work which seeks to expand our knowledge and which is intended to earn respect from the public. The principles of good scientific practice can be violated in many ways – from a lack of care in the application of scientific methods or in documenting data, to serious scientific misconduct through deliberate falsification or deceit. Every Ph.D. student should have a professional understanding of these topics.
This Responsible Conduct in Research workshop will provide an introduction to these important topics, with subject-specific input from senior IMPRS-IS and CLS researchers. Participants should attend for the entire workshop.
Date: Monday, October 23, 2023
Time: 13:00 p.m. - 17:00 p.m. CET
Location: Remote via Zoom
Organizers: Dr. Sarah Danes (CLS Coordinator) and Dr. Michael Mühlebach (Group Leader and Scientific Ombudsperson at MPI-IS Tübingen)
One week before the workshop, registered participants will receive a reading list of preparatory material to study. On the day of the workshop, presentations and group work sessions will introduce participants to these important topics:
• Sources of guidance on good scientific practice
• Working relationships and collaboration between colleagues
• Data manipulation and storage
• Authorship and publishing
• Scientific misconduct
• Local arrangements supporting integrity and good scientific practice.
This will lead into a panel discussion with senior PIs on best scientific practice for research on intelligent systems.
Panelists: Niao He, Assistant Professor at the Department of Computer Science, ETH Zurich and head of the Optimization & Decision Intelligence (ODI) Group; Anna Levina, Junior Professor and head of the Self-organization and Optimality in Neuronal Networks Research Group, University of Tübingen; and Bob Williamson, Professor for Foundations of Machine Learning Systems, University of Tübingen.
Interested in participating? Please register by 15 October, 2023 via the registration button below.
All registrants will receive a confirmation email shortly after the deadline with further event details.
In case of questions, please contact Sara Sorce (email@example.com) for assistance.