Upcoming events

 
Workshop

Scientific Writing: What Makes a Good Paper and How to Write It

Tuesday, 14 January 2025, 9:00-17:00
Campus South (room tbd)

This two-day on-site workshop takes place on Januar 13 & 14, 2025.

 

Content

Publications of research results is the currency in modern science. It might not be your favourite occupation, but it is a decisive one, strongly determining your future research and career opportunities. In this course, you will be introduced to the process of writing a scientific paper. In order to deepen and apply this knowledge, you will also actually produce a manuscript based on your research data (and one that might serve as the foundation for a journal submission). Questions about other forms of text like conference papers can also be discussed.

 

A-Z of scientific writing

  • Developing a clear main message
  • Priority setting in the writing process
  • Structure and logical flow of the text
  • Create meaningful graphics
  • Memorable introduction and abstract
  • How to develop a daily writing routine
  • Efficient communication with co-authors
  • Plus: Writing with AI tools


Please note: Given that this is a hands-on online-workshop, you need some (analysed) data that can serve as the foundation for a journal article. Please also bring some scientific texts written by you (e.g. Bachelor or Master thesis, as well as any published or upcoming papers) to the workshop.

 

Registration

Please visit the KCDS intranet portal to register for this course.

For non-members of KCDS: 
In order to be able to book the course, a KCDS guest/non-member account is necessary.
If you don't have an account yet, you can register here: Create a KCDS account to book courses
Once your account is activated by a KCDS administrator, you will be able to book the course.

 

Picture by Joanna Kosinska on Unsplash

This event is part of the eventgroup General Competence Workshop
Speaker
Dr. Carsten Rohr

Soft Skills in 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
Online registration
Register on the KCDS Intranet website
Online Registration

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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!

Coordination Office