

Ute Schmid is a full professor for cognitive systems at University of Bamberg. She has more than 20 years experience in research and teaching in AI. She is director at the Bavarian Research Institute of Digital Transformation (bidt), member of the Bavarian AI council, co-speaker of the working group 1 of the Germany's Platform for Artificial Intelligence, and head of the working group AI and School of the German Informatics Society (GI). With university diplomas both in Psychology and Computer Science she has a suitable interdisciplinary perspective for computer science and AI education for tailored to different target groups. For your long-standing commitment to promoting women and young talent in computer science and in the area of AI Ute Schmid has been honored with the Minerva Gender Equality Award of Informatics Europe and with the Rainer-Markgraf-Award.

She studied Slavic and German Studies at the Adam Mickiewicz University in Poznan and at the Johannes Gutenberg University in Mainz. From 2002 to 2005 she was a research assistant in Mainz and completed her doctorate there. In 2006, she worked as a research assistant in Mainz and at the Institute for the German Language in Mannheim, in the project Grammar of German in European Comparison. In October 2006, she became junior professor for historical linguistics of German in Mainz. From 2009 to 2017, she held the professorship for Linguistics of German with a focus on historical linguistics at the University of Hamburg. In 2017, she accepted the call to the Chair of German Linguistics at the University of Bamberg and moved to the Chair of Historical Linguistics of German at the University of Leipzig on 1 April 2022.

Anja Gärtig-Daugs studied health economics at the University of Bayreuth with focus on public health and information systems. She also received her doctoral degree (Dr. rer. pol.) in economics from the University of Bayreuth.
After completing her studies, she worked as an epidemiologist at the Population-based Cancer Registry of Bavaria, as a research assistant and lecturer at the Chair of Population Science at the University of Bamberg and as a consultant for social volunteerism at the Malteser Hilfsdienst e. V. From 2012 to 2017, she worked as research associate within the projects "Alumnae Tracking", "Mobile Computer Science Learning Lab" and "Computer Science in Elementary Education" and was a tutor for the seminar "Gender Aspects in Computer Science" at the Chair of Applied Computer Science / Cognitive Systems at the University of Bamberg. In 2018, she assisted the Dean of Studies at the Faculty of Informations Systems and Applied Computer Sciences in the field of quality management and course evaluation. From 2018 to 2020, she was part-time professor for health management in the field of distance learning at the International University Bad Honnef (IUBH). In 2019, she returned to the University of Bamberg to establish the digital learning lab for elementary education (ElementarLLab) at the Center for Teacher Training (ZLB). She heads the Competence Center for Digital Learning and Teaching at the Center for Teacher Training and is associated member of the research group "Elementary Computer Science Education".
Her research interests lie in the field of empirical research, computer science in elementary education, digital teaching and learning, and digital health.

Data Literacy

AI in schools

Ute Schmid is Professor of Applied Computer Science, in particular Cognitive Systems. She has been teaching and researching knowledge-based methods of AI and machine learning for more than 15 years. She is internationally visible in the field of human-like machine learning and is currently researching explanation generation and the use of explanations in interactive learning. Ute Schmid also has experience in the development of intelligent tutoring systems and in the use of analogue examples in the context of knowledge and skill acquisition. In addition to a degree in computer science, she also holds a degree in psychology and has many years of experience in empirical research.