Workshops on different research related topics

Wide range of topics aimed to be covered for scientific improvement of ECRs. 

Upcoming workshops

There are currently no upcoming workshops.

Previous Workshops

  • Python for beginners by Gáspár Lukács: 1 June 2023, 9:30-16:30
    This workshop is an introduction to Python. It can also be a useful refresher of your Python knowledge before attending the PsychoPy workshop.
  • PsychoPy Workshop by Gáspár Lukács: 2 June 2023, 9:30-16:30
    This workshop requires knowledge of Python. To participate you should have some general programming experience, and have some knowledge of Python (e.g., have completed the Introductory course to Python 1, which is offered by the university Kursdatenbank).
  • Network Analysis workshop, 10-11.05.2023: The workshop aims to present basic concepts of network analysis and describe how to estimate networks applied to psychological data using R. The workshop is split across 2 days. You can find more detail in the attachment.
  • Careers outside of academia, 13.04.2023:  Alumni who left academia after their PhD/Post-doc will speak about their career and what they do now. We have invited a data scientist, head of employee experience at Lufthansa, a senior editor of a scientific journal, a consultant and a psychologist working in the justice system.
    Talk 1: Career Options and Career Planning in Academia, October 19, 2022. This session introduces the framework conditions for postdoc career paths and presents aspects of career planning up to a permanent academic position. The first part of the input gives a structured overview of the requirements of the academic system for further careers. Based on the academic portfolio, strategies and priorities are addressed, and career models and opportunities are explained. Based on this, strategies for career planning will be discussed.
    Talk 2: Finding a Career after Science, November 17, 2022. Should I stay in academia? But if not, what should I do professionally? Sooner or later in an academic career, all doctoral researchers and postdocs come across these questions. But how can you find good answers? This session first covers the question of which criteria and strategies can be used to make a good individual decision about an academic career. Then professional alternatives for academics outside of science are addressed. Strategies will be presented on how suitable professional alternatives based on your skills and interests can be developed as well as how the relevant job market can be explored.
  • Two-day workshop „Intro to R“ by Tamás Nagy (Eötvös Loránd University, Budapest) targeted specifically at psychologists who aren’t used to working with R but want to become familiar enough with it to follow the workshop on power analysis. (registration is closed)"Power Analysis for SEM and multilevel models using R“ workshop by Tamás Nagy (Eötvös Loránd University, Budapest). This one-day course will teach you how to compute required sample sizes a priori and compute the achieved power a posteriori for various types of models. Where and When: April 5 or 6.You can read more about it here.
  •  "Self-Management and Well-Being for Early Career Researchers" Workshop with Dr. Markus Böckle in cooperation with the VDSCobene. There will be several coaching sessions throughout the semester, which all ECRs can join! Invitation and more information will follow via e-mail. You can read more about it here.
  •  "Writing workshop" was aimed at ECRs who are primarily looking for time and space for undisturbed writing and who are interested in an active exchange of experience and a writing-related feedback processes together with colleagues who are in a similar position. In addition to various rounds of discussions and feedback, the programme also includes schedule a lot of joint and individual writing and working time. Among other things this includes, targeted discussions focus on writing as a process, the integration of the writing process into everyday (working) life, and specific discussions on individual tasks and necessary steps.