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Erik Voigt
Universität Bamberg

Erik Voigt is a research associate at the Chair of Cognitive Systems at Otto-Friedrich University Bamberg. His research focuses on interpretability and explainable AI, particularly in the area of visual and linguistic foundation models.

Sonja Niemann
Universität Bamberg

Sonja Niemann is a research associate in the Research Department at the bidt. She works in the research focus "Humans and Generative AI: Trust in Co-Creation" within the pAIrProg project, led by Ute Schmid, with a focus on code generation. She completed her Bachelor's degree in Psychology at the University of Trier and her Master's in "Computing in the Humanities" at Otto Friedrich University Bamberg. During her Master's studies, she was able to focus on Cognitive Systems and AI.

Benedikt Schlereth-Groh
TH Nürnberg Universität Bamberg

Benedikt Schlereth-Groh holds a Bachelor's and Master's degree in Applied Mathematics from the Nuremberg Institute of Technology. After working as an electrician at Fresenius, he began his research career at Fraunhofer IIS. He is currently employed as a research associate at the Nuremberg Institute of Technology and is an external doctoral candidate at the Chair of Cognitive Systems at the University of Bamberg. His research focuses on the application of XAI methods for robustness and anomaly detection.

Judith Knoblach
Universität Bamberg

Judith Knoblach holds a Master's degree in Linguistics from TU Berlin. After working as a Dialogue Engineer in the automotive industry, she began her research career at Fraunhofer IAIS in the fields of Conversational AI and Knowledge Graphs. She is currently working as a research associate at the SME-AI Experience Centre, where she develops demonstrators for intelligent and sustainable manufacturing, with a particular focus on trustworthy and human-centred approaches to machine learning. Her focus is on the development of XAI methods for time series and audio data.

Felix Haase
Universität Bamberg

Felix Haase is a research associate at the Chair of Cognitive Systems at the Otto Friedrich University of Bamberg. His research focuses on interpretability and explainable AI, particularly in the field of detecting textual disinformation.

Ute_Schmid_S_W
Prof. Dr. Ute Schmid
Universität Bamberg Fraunhofer IIS

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.

Renate Szczepaniak
Prof. Dr. Renata Szczepaniak
Universität Bamberg

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.

Dr. Anja Gärtig-Daugs
Dr. Anja Gärtig-Daugs
Universität Bamberg

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.

Topic

Data Literacy

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