News

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)
RainQuest Hackathon Logo
RainQuest Hackathon 2024 (Oct 8-11, Karlsruhe)

Calling all data science and machine learning enthusiasts! Join us for the "RainQuest" hackathon, an exciting challenge in a relaxed, collaborative environment.

Read more and register here
Symbolic picture for unsorted data by Kier in Sight Archives (Unsplash)
KCDS Workshop on Data Processing and Data Assimilation 2024 (Sep 11-12)

Are you a doctoral researcher working with data? Join our 2024 workshop with theoretical and hands-on sessions on data processing and data assimilation including a participant poster session and networking dinner!

Find more info and register here
Detail of a building facade at TU Braunschweig
FrontUQ 2024 - Workshop on Frontiers of Uncertainty Quantification (Sep 24-27, Braunschweig)

FrontUQ is a workshop series of the GAMM-UQ activity group. The 2024 edition on "Uncertainty Quantification (UQ) for Aerospace Engineering" is jointly organized by TU Braunschweig, Karlsruhe Institute of Technology, and the German Aerospace Center. Registration and abstract submission are now open on the conference webpage.

more info and registration

Upcoming events

 
Online Seminar

Good Research Practice (two-day) [ONLINE WORKSHOP]

Monday, 21 October 2024, 9:00-14:00
Online

The event will be held in English and run for two days, on October 21 and 22, 2024.

 

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’

 

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 doctoral researchers and postdocs at KIT who are KHYS members.

 

The event will be held in English and run for two days, on October 21 and 22, 2024.

 

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 Further Education Program. Thank you!

Costs/ Payment
For its members, KHYS covers the costs that incur for holding this event.
Speaker
Dr. Christian Dumpitak
iGRAD – Interdisciplinary Graduate and Research Academy Düsseldorf, HHU Düsseldorf
Organizer
Nadine Civilotti M.A.
Karlsruhe House of Young Scientists (KHYS)
Karlsruher Institut für Technologie (KIT)
Straße am Forum 3
76131 Karlsruhe
Tel: +49 721 608-46202
Fax: +49 721 608-46222
Mail: weiterbildung does-not-exist.khys kit edu
https://www.khys.kit.edu
Number of participants
28
Online registration
Registration is required for this event. You can register online here.
Online Registration

Highlights

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.

Read more
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