About
Struggling to turn data into something useful for your research? Wondering how to assess the reliability of AI-generated insights? Finding it challenging to choose the right algorithms and methods for effective data analysis?
If these or similar questions sound familiar, then join the EconData Workshop for practical input you can apply immediately. This is your chance to bring up the challenges that matter most to you. No prerequisites are needed. Just come with your questions, and leave with fresh strategies.
The first EconData Workshop will take place in Mannheim, June 23-24.
Click here for more details and registration.
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Event Highlights
Day 1: Barcamp Sessions (Half Day)
Bring your most pressing questions to the table and engage with others who share your struggles or offer solutions you haven’t considered.
Day 2: Project Development (Full Day)
Get hands-on with your data challenges. Explore algorithms and methods and leave with actionable outcomes like best practice guides, code snippets, or new strategies. End the day by sharing your insights and taking away practical ideas to support your research.
How to Participate?
Just register and join.
Upcoming Locations
Join the EconData Workshop as it travels across Germany throughout the year and into early 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:
đź“Ť Mannheim | đź“Ť Kiel (Fall 2025) | đź“Ť Nuremberg (Early 2026)
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 at IGDORE. Heidi is the co-founder of the Digital Research Academy and Open Science Freelancers.
