
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
Curious how others handle ethical or governance challenges around data access and privacy? Wondering if you have the best method to get the most out of your data?
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?
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If you have questions likes these, we invite you to join us for an engaging unconference-style workshop fostering collaboration and innovation across business, economics, and related research fields. Share insights, connect with peers, and create tangible outcomes on topics like reproducible research, unstructured data, and AI.
This workshop will follow an unconference format. Think of an unconference as the opposite of a typical academic conference. No endless slide decks, no panels you have to sit through – just people who work with, study, and care about data coming together to talk about what they find most interesting.
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When you arrive, you help build the schedule by suggesting topics you would like to explore – anything from open data and reproducibility to machine learning ethics, large language models, economic modeling, data governance, or visualization techniques. Then you join the sessions that inspire you most.
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It is spontaneous, energetic, and powered by the participants. No prerequisites are needed. It does not matter whether you are a researcher, data enthusiast, student or simply have a data related job, everybody is welcome. Just come with your questions, your laptop, and leave with fresh strategies.
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โ Free attendance
โ Plenty of coffee
๐ฅช Free lunch
Event Highlights
Day 1 (Half Day: 13.00 – 17.00)
Kick off with your most pressing questions and dive straight into hands-on sessions. Collaborate with peers who share your challenges or offer a new perspective. Explore methods, tools, and approaches together – this is your chance to experiment, learn, and hack.
Day 2 (Full Day: 9:00 โ 17:00)
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.
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Contact
Georg-Christoph Haas (Georg-Christoph.Haas@iab.de)
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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