Women in Data Science
1 June 2023
Women in Data Science (WiDS) is an international conference format that provides a platform and networking opportunities for established female scholars, experts, and early career researchers with excellent work in the field of Data Science and AI. On May 25, WiDS Regensburg took place for the third time with more than 140 participants in the Vielberth building of the University of Regensburg. The conference offered insight into where and how industry and research are currently using machine learning and data science, and how they will do so in the future. Among the central topics of the conference were trust in artificial intelligence and the discussion of technological advances in the context of legal regulations.
"The number of participants was not only significantly high but remained high throughout the day," says Professor Dr. Udo Kruschwitz, Chair of Information Science and member of the Faculty of Computer Science and Data Science (FIDS) at the University of Regensburg. The diverse program combined both research and practical application: "Particularly intense discussions took place after the talk on OpenAI/ChatGPT by Anupma Raj (Microsoft). The poster presentations were also full of interaction."
Among the early career scholars from the University of Regensburg who presented their research findings were Nicole Schönwerth and Tina Emmert (Physical-Digital Affordances Group, Media Informatics), who presented their research on "How Do Users Like Their Tangibles? An Exploration of Interaction Techniques for Data Transfer with Everyday Objects." Credit / all pictures: Julia Dragan/UR
Tonghe Zhuang explained her research on "Spatiotemporal representations of observed actions using time-resolved EEG and fMRI." She is a doctoral student at the Department of Cognitive Neuroscience of Professor Dr. Angelika Lingnau,
Dean of Research at UR’s Faculty of Human Sciences.
"WiDS offers early career scholars a unique opportunity to present their research to a broader audience, to be inspired by other women in Data Science, and to make important contacts at the same time," sums up Professor Dr. Lingnau.
Zuzanna Kabulska , is a PhD student with Professor Dr. Lingnau, presented her project "Decoding Action Categories from Brain Activity and Connectivity Patterns."
A joint research project of the Chair of Cognitive Neuroscience and the Chair of Information Science was presented by Katharina Spannruft: "Exploring Corticle representations of (non) credible websites - an EEG pilot study".