Event Calendar

 
Workshop

Good Scientific Practice (incl. Generative AI) (two-day) [ONLINE WORKSHOP]

Tuesday, 18 February 2025
online
Online
 

The event will be held in English and run for two days, on February 17 and 18, 2025, each starting 9:30 a.m. until 2:30 p.m.

 

Researchers are responsible for ensuring that their own conduct complies with the standards of good research practice. The workshop will introduce basic issues of research integrity by addressing important guidelines of the Deutsche Forschungsgemeinschaft (DFG) and specific regulations of KIT for safeguarding good research practice – relevant for every early career researcher@KIT.

 

A) Basics of Responsible Conduct

  • Introduction: Research, ethical principles and professional ethos of a researcher
  • Basic (inter-)national recommendations and regulations for safeguarding good research practice
  • Research misconduct: Examples, elements of offense, reasons and consequences

 

B) General Responsibilities

  • Quality management: research design, documentation/archiving
  • Publication process, authorship and review of manuscripts
  • Supervision: Expectations/duties/roles
  • Organizational culture: Collaboration, communication, prevention and dealing with conflict
  • Procedures in case of suspicion and relevant contact points

 

C) Important Specific Responsibilities

  • Important prior to any data collection: Authorization or permission relevant research
  • Possible topics (depending on participants’ disciplinary/research background): ‘Research on animals’, ‘Research on humans’ and/or ‘Surveys, interviews, data privacy and security issues in research’

 

Throughout the various sections of the workshop the use of text- and image-generating AI will be discussed as an integral part.

 

Via dialogic inputs, discussion of case examples, single/group work and plenary discussion participants will have the opportunity to discuss and reflect their individual research practice and professional attitudes on being a researcher.

 

This event is open to members of KCDS.

 

The event will be held in English and run for two days, on February 17 and 18, 2025.

 

Technical requirements: To participate in this event, you need a stable internet connection, a webcam and a microphone. Participants will receive further detailed information regarding the online-platform prior to the event.


If you are unable to attend an event, please inform us promptly via e-mail. This way you are allowing your colleagues the opportunity to participate and you help us to maintain the quality of our qualification program. Thank you!

 

This workshop is being organized in cooperation with CRC Wave Phenomena.

 

This workshop offer is directed at KCDS members. To register for this workshop, please inquire via e-mail: kcds does-not-exist.kit edu

 

Photo by Camila Cordeiro on Unsplash

Costs/ Payment
Costs incurring are covered for KCDS members
Speaker
Dr. Christian Dumpitak

iGRAD – Interdisciplinary Graduate and Research Academy Düsseldorf, HHU Düsseldorf
Organizer
Angela Hühnerfuß
KIT Graduate School Computational and Data Science (KCDS)
KIT-Center MathSEE
Karlsruhe
Mail: kcds does-not-exist.kit edu
https://www.kcds.kit.edu
Targetgroup
Young Scientists
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About KCDS

Concept of the graduate school KCDS
KIT Graduate School Computational and Data Science (KCDS) is a graduate school at KIT Center MathSEE that offers an interdisciplinary training program for doctoral researchers in the field of model-driven and data-driven computational science.
In this unique program, doctoral researchers will be able to conduct an interdisciplinary research project that revolves around computational methods such as mathematical models, simulation methods and data science techniques, all the while building bridges between mathematical sciences and an applied SEE discipline (science, economics and engineering).
Addressing global challenges, the school provides a wide variety of topics, from meteorological ensemble forecasting to machine learning in elementary particle physics.
At KCDS, doctoral researchers have one supervisor from the mathematical sciences and one from the applied discipline. They are part of a dynamic community and participate in the school’s interdisciplinary training program, including hands-on training in small groups, summer schools, networking events and hackathons/datathons.
Thinking simulations and data together, we are ready to conquer the data-driven challenges of tomorrow!

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