The event will be held in English.

Doctoral researchers need statistical methods in many areas of their daily research work, for example when they plan experiments or analyze existing data sets. This online event features a 60-minute talk, followed by an open discussion. The talk provides a high-level overview of questions that statistics can help address, including causal inference and prediction. It then presents resources (such as textbooks, software and academic journals) for learning about and implementing statistical methods. While the talk does not dive into the details of any particular method, it intends to help doctoral researchers navigate the abundance of available resources, and to provide a starting point for those new to the field.

In the discussion, participants will explore how statistics relates to their own research areas. Possible themes include: What data are central to your field? What questions drive your discipline, and how might statistical approaches help answer them? 

If you want to learn more about statistical methods after this talk, you can register for our e-learning-course: https://www.khys.kit.edu/veranstaltungskalender.php/event/60752  

This event is open to doctoral researchers and postdocs at KIT who are KHYS members. If you are currently not yet a member of KHYS, you can register here.

The event will be held in English.

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.

We generally expect participants to attend throughout the entire duration of 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!