[Training4lifescience] Understanding Uncertainty in Data-Driven Research

* *From*: Veronica Haas &lt;veronica.haas(a)uni-mannheim.de&gt; * *To*: &quot;forschungsdaten(a)listserv.dfn.de&quot; &lt;forschungsdaten(a)listserv.dfn.de&gt; * *Subject*: [forschungsdaten] Free Online Course: Understanding Uncertainty in Data-Driven Research (Starts Sept 1st) * *Date*: Tue, 7 Jul 2026 11:25:59 +0000 ------------------------------------------------------------------------ Dear all, We are pleased to invite you to the upcoming online course, *"Understanding Uncertainty in Data-Driven Research: How Uncertainty Shapes Machine Learning"*, starting on September 1st, 2026. How certain are the outputs of a machine learning model, and where does that uncertainty come from? This course helps participants trace uncertainty across the full data-driven research workflow - from data generation, measurement, and labeling to modeling, evaluation, decision-making, and the use of Large Language Models. Led by *Cornelia Gruber* (Department of Statistics, LMU Munich), this course will be spread across 4 sessions over 4 week. It is *open to all researchers*, free of charge, and will be conducted in English via Zoom. Each week consists of a lecture, followd by an enxtensive Q&A session. Participants will explore key concepts like aleatoric and epistemic uncertainty, question "ground truth" assumptions by looking at human disagreement in datasets, and learn to interpret probabilistic predictions for real-world decision-making. By the end of the course, you will be better equipped to analyze what a model output really means, what it might be hiding, and how to make uncertainty visible in your own research. The application deadline is *August 4th, 2026 (CEST)*. Because participation is limited and demand usually exceeds capacity, the application form includes a few questions about your background. Please note that priority will be given to researchers working in business, economics, and related social sciences. For more details and to submit your application, please visit our course page: https://www.berd-nfdi.de/berd-academy/uncertainty-26/ <https://www.berd-nfdi.de/berd-academy/uncertainty-26/>. Please feel free to forward this invitation to interested colleagues and research networks. Best regards, Veronica Haas ................................................................... *Veronica Haas* (she/her | de, en, it) Communications and Dissemination Officer University Library University of Mannheim D – 68131 Mannheim phone +49-621-181-2719 Website: www.berd-nfdi.de <http://www.berd-nfdi.de/>