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sensitive data is used in compliance with ethical and privacy conditions to drive machine learning (ML) and deep learning (DL) models. The aim is to gain causal insights to uncover the causes of complex diseases [...] and Professor Marvin N. Wright (Statistical Learning, BIPS). The research group is also supported by the new cooperative professorship in “Machine Learning in Statistics” at the interface between AI and
Section: FB3
topics related to state unification issues. Reflection on the German unification process seeks to learn from the experience gained in Germany for the rapprochement efforts on the Korean peninsula.
Section: FB7
bulletin issue (No. 19). The BBDC is a yearly stundent challenge in the field of big data and machine learning organized by CSL. The text is published here: http://www.dagstat.de/fileadmin/bulletins/DAGStat
linguistics, corpus linguistics, and grammar. At the University of Bremen, she is evaluating the learning efficacy of writing tasks and written formats in degrees and is analyzing to what extent such work
Section: Universität
thesis. Using problem-centred interviews, she examined the effect of externally-initiated formal learning for elderly employees in a vocational context from a qualitative-empirical perspective. Because
comparative approach to social media hate speech and political extremism online. Building on lessons learned from previous research carried out in conflict situations in East Africa, it examines the different
Section: Sites
thesis into the "BestMasters" series by the publisher Springer. Under the title "Drivers of Corporate learning through an Involvement in Business Accelerators" Jan Elsner conducted a case study at Airbus, which
state and federal politicians, campaign advisers, business leaders, journalists and professors to learn more about German politics, trade, energy and other issues.
local contributions, we present a colorful spectrum of research highlights from Bremen and "umzu". Learn on site how scientific collaboration between different disciplines contributes to a deeper understanding