News

Prof. Victoria StoddenVictoria Stodden
Taking Reproducibility to Action - Workshop with Prof. Victoria Stodden (Jan 21)

KIT International Excellence Fellow Prof. Victoria Stodden invites the KIT community, especially early career researchers, to create ideas and proposals for facilitating research that is data-, compute-, or AI-enabled.

Register until January 14, 2025!

Learn more and register
Symbolic picture for doctoral researchers
Call for proposals (KIT internal): DAAD Graduate School Scholarships at KCDS

We are calling researcher tandems (MATH and SEE) at KIT to submit interdisciplinary project ideas!

Deadline: January 31, 2025

Learn more (only visible in KIT intranet)

Upcoming events

 
Workshop

Good Research 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.

 

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.

 

To register for this workshop, please inquire via e-mail: kcds does-not-exist.kit edu

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
Online registration
To register, please inquire via e-mail to kcds does-not-exist.kit edu
Online Registration

Highlights

Panel discussion with KIT Alumni at Triangel Space
Report: Career Talk with KIT Alumni 2024

From Computational and Data Science to Industry and Academia - four KIT Alumni gave insights into their jobs during a lively panel discussion on October 11, 2024 at Triangel Space.

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Group picture of the participants of the RainQuest Hackathon 2024
Report: RainQuest Hackathon 2024

The hackathon on precipitation estimation with weather radar and rain gauge data took place from October 8-11, 2024 at Triangel Studio.

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Group picture of the participants of the KCDS Workshop on Data Processing and Data Assimilation 2024Na Luo
Report: KCDS Workshop on Data Processing and Data Assimilation 2024

The workshop with Dr. Annika Oertel (IMKTRO) and Dr. Vandana Jha (SCC) took place from September 11-12, 2024 at the Mathematics building.

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KCDS Retreat 2023 - group picture
Report: KCDS Retreat 2023

The second annual KCDS Retreat took place from November 13-15, 2023 at Naturfreundehaus Kniebis in the Black Forest.

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Deep Learning workshop group picture
Report: Deep Learning Workshop 2023

The workshop with a focus on "Recent Advances in Kernel Methods for Neural Networks" took place in October 5-6, 2023 at the Triangel.

Read more
KCDS Summer School 2023 group photo
Report: KCDS Summer School 2023

The first KCDS Summer School centered on the topic of Stochastic and Hybrid Modelling and took place at KIT Campus South, September 18-20, 2023.

Read more

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!

Coordination Office