Data Literacy

Beate Rhein is Professor of Applied Mathematics and Machine Learning at the Cologne University of Applied Sciences. She has been teaching and researching in the field of data mining for many years, especially in its application in energy technology.

Claudia Lemke is Professor of Business Informatics at the Berlin School of Economics and Law (HWR Berlin). She has been working on the effects of digitalisation and networking on the economy and society since the end of the 1990s and has published and lectured extensively on this topic, as well as advising companies on digital transformation. More recently, she has focused on ethical issues in dealing with transformative technologies such as artificial intelligence.

Monett Diaz studied computer science at the University of Havana in Cuba from 1987 to 1992, where she also completed her master's degree in computer science from 1995 to 1998. She has lived in Germany since 1999 and initially worked as a research assistant at the Institute for Computer Science at the Humboldt University in Berlin from 2002 to 2005. While teaching at the HWR Berlin from 2003 to 2010, she completed her doctorate in computer science at the Humboldt-Universität zu Berlin in 2005 in the field of agent-based configuration of metaheuristic algorithms, also in the context of artificial intelligence.In the following years, she taught and researched again at the Humboldt-Universität before being appointed professor of computer science at the HWR Berlin in 2010. There she was involved in various projects, including e-learning, a study on the use of big data in human resources and, in 2016/2017, in the interdisciplinary project Bot@HWR, which aimed to expand the research focus on robotics at the HWR. She is also a member of the management team of the "Competence Centre for Digitalisation" at the HWR.

Ute Schmid holds the Chair of Cognitive Systems at the University of Bamberg. For more than 20 years, she has been teaching and conducting research in the field of Artificial Intelligence. From 2020 to 2025, she led the Fraunhofer IIS Comprehensible AI project group. She heads the SME AI Experience Centre, funded by the Bavarian Ministry of Economic Affairs, and is a member of the board of directors at the Bavarian Research Institute for Digital Transformation (bidt). Ute Schmid is internationally recognised in the areas of human-like machine learning, neuro-symbolic AI and explainable machine learning. She also conducts research in the field of AI and education. In addition to a degree in Computer Science, she has also obtained a degree in Psychology and has many years of experience in empirical research.