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Causal Inference Working Group – Causal Effect Estimation with Double Machine Learning

Online-Event

The meetings of the Causal Inference Working Group serve as a platform for collaboration and discussion, focussing on causal data analysis in academia and industry. Using causal techniques, the group aims to develop intelligent strategies for data analysis that surpass the correlation based approach of classical statistics, in order to distill robust causal information from

Is postponed until further notice: Towards Actionable XAI

Online-Event

The field of EXplainable Artificial Intelligence (XAI) is slowly progressing out of its infancy stage, with current developments describing a trend towards human-aligned explanations. But what what does that mean? In this talk, Dr. Sebastian Lapuschkin (Head of the XAI Group of the Fraunhofer Heinrich-Hertz-Institute, Berlin) is going to guide through the development of the

Digital Workshop for Doctoral Candidates – Research Data Management 2022 (Day 2)

Online-Event

Do you collect data for your research, create questionnaires or use empirical methods? Do you evaluate text corpora or analyze medical data? Do you train algorithms with small or large data sets? Working with research data plays a central role in a wide variety of special fields, but it always requires the "correct" handling of

Artificial Intelligence – Status Monitoring and Prediction for More Sustainable Production

Online-Event

The "Themenplattform Digital Production & Engineering - ZD.B" (Digital Production & Engineering Themed Platform of the Bavarian Digitization Center) helps to connect science and industry in order to support the knowledge transfer of scientific findings into industrial companies, to facilitate access to research institutions and to transfer requirements from industry to science. "Bayern Innovativ" (Bavaria