Event Calendar

 
Workshop

Beyond the data: Presenting Science with Impact (Scientific Presentation)

Tuesday, 04 November 2025, 9:00-17:00
KIT Campus South, Building 40.32, Room 239 (Institut für Mess- und Regelungstechnik, Engler-Bunte-Ring 21, 76131 Karlsruhe)
© Photo by Volodymyr Hryshchenko on Unsplash

2-day on-site workshop on November 4+5, 2025 on KIT Campus South

 

As a scientist, presenting your findings is essential, whether in a group seminar, at a conference, or during your Ph.D. defense. However, effective science presentation is more than just sharing data.


The topics covered by this workshop are:

  • Planning and structure
  • Memorable start and ending
  • Speech, voice, and body language
  • Create meaningful graphics
  • Slide composition
  • Difficult situations

 

The training is a workshop, meaning that the participants apply the learned material to their presentations right there. Therefore, everybody should bring presentations (old or upcoming ones) to work with.


Speaking the same language is a great advantage for tailoring presentations effectively. Another important point: Most scientists talk about their topic with shining eyes. Often, that excitement is gone the moment they stand in front of a crowd. To tap into this enthusiasm during your talk is particularly important. For that enthusiasm to reappear, you need to feel safe with what you are doing in your presentation.

 

Brought to you by Institute of Measurement and Control Systems (MRT) and KCDS.

Costs/ Payment
Free for MRT and KCDS members
Speaker
Dr. Carsten Rohr

Soft Skills for Hard Science
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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