Event type On-site Event
LocationRoom BZ C4.01(ex C4.03) | Universitätsplatz 1 - piazza Università, 1
Bozen
Location Information
Departments ECO Faculty
Contact Alessandro Casa
Alessandro.Casa@unibz.it
unibz Data4Econ Hackathon
The Data4Econ Hackathon 2026 is the second edition of an exclusive hackathon where statistical analysis and data science meet economics. Dive into real-world datasets & develop forecasts
Event type On-site Event
LocationRoom BZ C4.01(ex C4.03) | Universitätsplatz 1 - piazza Università, 1
Bozen
Location Information
Departments ECO Faculty
Contact Alessandro Casa
Alessandro.Casa@unibz.it
Are you ready to put your analytical skills to the test and shape the future of economic forecasting?
The unibz Data4Econ Hackathon marks the second edition of an exciting new hackathon dedicated to data analytics for economics. Organized by unibz, this event brings together students, researchers, and professionals to tackle real-world challenges using data provided by Key to Energy.
What to Expect?
Work with real data – Participants will analyze a dataset provided by Key to Energy, exploring forecasting models and economic insights.
Team-based competition – Join as a team or let us help you find the right teammates! Each team will receive the same dataset to analyze.
Networking opportunities – Representatives from Key to Energy will be present, offering a unique opportunity to connect with industry professionals and explore future collaborations.
Expert evaluation – A jury composed of unibz faculty members and industry experts from Key to Energy will assess the results.
Win a prize! – The team with the best predictive performance will be awarded a prize, with additional recognition for the most innovative approach.
Who Can Participate?
The event is open to students and early career researchers with a passion for data analytics, economics, and forecasting. Whether you are already a data scientist or an aspiring one, this challenge is your chance to put theory into practice!
Don’t miss out on this unique opportunity! Join us at unibz on 30 March 2026 and compete with fellow students and young researchers in data analytics.
Please register by clicking the link below.