Zeitplan des interdisziplinären Kolloquiums DiTraRe

Das Interdisziplinäre Kolloquium zur Digitalisierung der Forschung bringt Forschende aus verschiedenen Disziplinen zusammen, die sich mit dem weit gefassten Thema der Digitalisierung beschäftigen. Ziel des Kolloquiums ist es, die Auswirkungen der digitalen Transformation der Forschung auf vielen Ebenen zu diskutieren: angefangen von einer technischen Diskussion über Forschungsmethoden und Datenmanagement bis hin zu Vernetzung und kollaborativen Praktiken. Ein wichtiger Aspekt des Prozesses sind die Auswirkungen auf die Gesellschaft.

Das Kolloquium findet jeden ersten Donnerstag im Monat von 11:00 bis 12:00 Uhr (mit wenigen Ausnahmen) in einem hybriden Modus statt. Jede Sitzung umfasst einen Expertenvortrag und eine ofene Diskussion. Wir ermutigen Sie, persönlich teilzunehmen, um zu einem erfolgreichen Austausch beizutragen! Für diejenigen, die nicht persönlich teilnehmen können, besteht die Möglichkeit der Online-Teilnahme über Zoom. Für beide Teilnahmemöglichkeiten ist eine Anmeldung erforderlich.

Die Vorträge werden aufgezeichnet und auf YouTube veröffentlicht. Wenn Sie keine Aufzeichnung wünschen, können Sie Ihre Kamera und Ihr Mikrofon ausschalten oder die Veranstaltung verlassen. Bei Fragen zu Ihren Datenschutzrechten kontaktieren Sie uns bitte unter ditrare [at] fiz-karlsruhe.de (ditrare[at]fiz-karlsruhe[dot]de).

Datum	Thema	Speaker	Ort
07.08.2025 11:00–12:00	TBA (AI in Biomedical Engineering)	Till Keller, Department of Cardiology and Angiology, Medical Center, University of Freiburg, Bad Krozingen + Justus Liebig University Giessen, Giessen	Registrieren Karlsruhe Institute of Technology, Institute of Biomedical Engineering (KIT IBT), Messtechnik Lecture Hall, Fritz-Haber-Weg 1, 76131 Karlsruhe, KIT Campus South, Building 30.33 ZOOM-Link
04.09.2025 11:00–12:00	TBA (PUNCH4NFDI LLM-based chatbot for creating workflows for physicists and astronomers)	Arman Khalatyan, Leibniz Institute for Astrophysics Potsdam (AIP)	Registrieren FIZ Karlsruhe - Leibniz Institute for Information Infrastructure, Room Leibniz, Hermann-von-Helmholtz-Platz 1, 76344 Eggenstein-Leopoldshafen, KIT Campus North, building 241 (KIT card needed to enter, please contact us: ditrare@fiz-karlsruhe.de) ZOOM-Link
02.10.2025 11:00–12:00	Slot available	Slot available, suggest your speaker in discussion forum (top of the webpage) or ditrare@fiz-karlsruhe.de	Registrieren TBA ZOOM-Link
06.11.2025 11:30–12:30	Machine Learning in Professional Soccer Zusammenfassung Machine Learning in Professional Soccer DiTraRe Presentation: Usecase "Sensitive data in sports science" The MO\|RE data platform makes physical fitness data derived from sports science studies available to both academia and the public. Research would strongly benefit from linking health with physical fitness data, e.g. in longitudinal data sets. However, publishing sensitive health (e.g. BMI, blood pressure) and other personal data (e.g. geolocation, social status) is challenging. An overarching concept for the secure handling of sensitive data is lacking, ranging from a trustworthy IT environment to sophisticated access management and auditing mechanisms, which ensures compliance with legal regulations. Expert Talk This presentation provides an overview of the development of AI/ML and data analysis in sports science research and teaching in recent years. Based on technological developments in sensor technology, especially in the field of commercial soccer, coupled with changes in the media coverage of sports games (Memmert, 2024b), new types of performance evaluation have become established (Memmert, 2021). The massive increase in available data, subsumed under the term “big data,” enables the calculation of more complex metrics (Memmert, 2025a,b), which has also become important for university research and teaching in sports science. Based on position/event data, significantly faster and more granular analyses are possible than those based on video material. This has led to new research questions, courses, and content in sports science (Memmert, 2024a). Using the example of match analysis, this development is illustrated with future teaching trends and testing potential. Literature Memmert, (Ed.) (2024a). Computer Science in Sport: Modeling, Simulation, Data Analysis and Visualization of Sports-Related Data. Berlin: Springer-Verlag. Memmert, (Ed.) (2024b). Sports Technology. Technologies, Fields of Application, Sports Equipment and Materials for Sport. Berlin: Springer-Verlag. Memmert, (Hrsg.) (2025a). Artificial Intelligence and Machine Learning in Sports Science. Berlin: Springer-Verlag. Memmert, D. (Ed.) (2021). Match Analysis. Abingdon: Routledge. Memmert, D. (Hrsg.) (2025b). Digitalization and innovation in sport and sport science: Handbook of Sport and Sports Science. Berlin: Springer-Verlag.	Daniel Memmert, German Sport University Cologne, Institute of Exercise Training and Sport Informatics; Katja Keller, Karlsruhe Institute of Technology, Institute of Sports and Sports Science (KIT IfSS); Claudia Niessner, Karlsruhe Institute of Technology, Institute of Sports and Sports Science (KIT IfSS)	Registrieren Karlsruhe Institute of Technology, Institute of Sports and Sports Science (KIT IfSS), room 201, Engler-Bunte-Ring 15, 76131 Karlsruhe, KIT Campus South, building 40.40 ZOOM-Link
04.12.2025 11:00–12:00	TBA	Stefan Dietze, GESIS Leibniz Institute for the Social Sciences + Heinrich Heine University Düsseldorf	Registrieren FIZ Karlsruhe - Leibniz Institute for Information Infrastructure, Room Humboldt, Hermann-von-Helmholtz-Platz 1, 76344 Eggenstein-Leopoldshafen, KIT Campus North, building 241 (KIT card needed to enter, please contact us: ditrare@fiz-karlsruhe.de) ZOOM-Link
08.01.2026 11:00–12:00	Slot available	Slot available, suggest your speaker in discussion forum (top of the webpage) or ditrare@fiz-karlsruhe.de	Registrieren TBA ZOOM-Link
05.02.2026 16:00–17:00	TBA	Thorsten Strufe, Professor of Privacy and Security, Karlsruhe Institute of Technology	Registrieren Karlsruhe Institute of Technology, Zentrum für Angewandte Rechtswissenschaft (KIT ZAR), Vincenz-Prießnitz-Straße 3, 76131 Karlsruhe ZOOM-Link

Datum	Thema	Speaker	Ort
17.07.2025 10:30–11:30	Science in the Age of AI: Is Your Research Ready for the Digital Revolution? Zusammenfassung Science in the Age of AI: Is Your Research Ready for the Digital Revolution? The recently established Leibniz Science Campus “Digital Transformation of Research” (DiTraRe) investigates effects of the broadly understood process of digitalisation of research on a multilevel scale. In an interdisciplinary environment, we concentrate on four research clusters concerning different topics and gathering use cases from varying scientific areas. For a multiscale investigation, these research clusters are interwoven with four dimensions, which approach the tasks from different perspectives and pose their own research questions. Within this matrix we are not only developing practical solutions for each use case but also seeking to find generalisations valuable to the scientific community as well as society in general. In this talk we present the main ideology behind DiTraRe, which is to establish a new research branch. We present different measures via which we are aiming at our main goal as well as discuss different outcomes which will be achieved alongway. We broadly discuss the impact which our consortium may have on researchers and society together with its connections to NFDI initiatives. Expert talk: Data Infrastructures as a Foundation for AI Projects This presentation will examine the critical components that drive AI progress, with a focus on the need for large-scale, machine-interpretable data that adapts to the unique demands of different sectors. Key topics will include transparency and reproducibility in AI, as well as the importance of making essential resources—publications, data, models, and code—accessible, interconnected, and scalable. A robust data infrastructure is essential for the AI community, supporting every stage of the data lifecycle—from collection and creation to processing, analysis, publishing, archiving, and reuse of resources. This talk will highlight the foundational role of these infrastructures in AI-driven initiatives, showcasing several ongoing infrastructure initiatives and illustrating how they contribute to a modern data ecosystem. Recording Presentation	Sonja Schimmler, Franuhofer FOKUS + Technische Universität Berlin; Harald Sack, FIZ Karlsruhe - Leibniz Institute for Information Infrastructure + Karlsruhe Institute of Technology, Institute of Applied Informatics and Formal Description Methods (AIFB); Anna Jacyszyn, FIZ Karlsruhe - Leibniz Institute for Information Infrastructure; Felix Bach, FIZ Karlsruhe - Leibniz Institute for Information Infrastructure	Registrieren FIZ Karlsruhe - Leibniz Institute for Information Infrastructure Room Leibniz Hermann-von-Helmholtz-Platz 1, 76344 Eggenstein-Leopoldshafen KIT Campus North, building 241 ZOOM-Link