๐ฉโ๐ซ With Heidi Seibold and Ilona Lipp
๐IAB Nuremberg
๐ February 26-27, 2026
This workshop is organized by BERD@NFDI in cooperation with the Digital Research Academy (DRA), and the Institute for Employment and Research (IAB).
About
Struggling to turn data into valuable insights? Wondering where to find the right research data for your topic? Finding it tough to choose the right algorithms and methods?
Or maybe you just have a data-related question that has been on your mind for a while, but you have not had the right space to ask it?
You are a PhD candidate, early-career researcher, or advanced Masterโs student in business, economics, or the social sciences, and you are facing questions like these? Then join our EconData Workshop and bring any data question you have not yet had the chance to ask. Choose the topics you want to focus on, and we will provide practical advice you can use right away in your research. No prerequisites are needed. Just come with your questions, and leave with fresh strategies.
โ Free attendance
โ Plenty of coffee
๐ฅช Free lunch
Event Highlights
Day 1 (Half Day)
Kick off with your most pressing questions and dive straight into hands-on sessions. Collaborate with peers who share your challenges or offer fresh solutions. Explore methods, tools, and approaches together – this is your chance to experiment, learn, and build from real-life problems.
Day 2 (Full Day)
Continue working on your data challenges and refine your solutions. Wrap up with concrete outcomes, such as best practice guides, code snippets, or new strategies. Share your insights and take away practical ideas to support your future research.
How to Participate?
Just register and join us on February 26-27, 2026, in Nuremberg. Get your free ticket here.
Upcoming Locations
The EconData Workshop series is taking place across Germany throughout the year and into 2026. Each event is independent and self-contained, so participants are free to attend one or multiple sessions without needing to commit to the entire series:
๐Mannheim | ๐ Kiel | ๐ Nuremberg
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About the Instructor
Foto: Anna Voelske
Heidi Seibold holds a PhD in Biostatistics with a focus on Machine Learning. Her research has been in the intersection of Data Science, Reproducibility and Medicine. She is a solopreneur in Open and Reproducible Research and an independent researcher atย IGDORE. Heidi is the co-founder of theย Digital Research Academyย andย Open Science Freelancers.
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