Women in Data Science (WiDS) 2024
For the 4th time, WiDS took place in Regensburg to showcase outstanding work of women in the field of data science
From Edge AI to rehabilitation and automated transport
In May 2024, the specialist conference „Women in Data Science Regensburg“ (WiDS Regensburg) once again offered a multifaceted insight into the areas in which companies such as Google, DeepMind, Infineon, bulwiengesa, Deepset AI and research, including the Munich Institute of Robotics and Machine Intelligence (MIRMI) at TU Munich and DLR, use machine learning and data science.
In addition to the specialist presentations, the event also offered space for networking within the community.
A poster session complemented the broad spectrum of presentations and enabled in-depth interaction between participants. Eight interdisciplinary researchers from RCAI were there to present their latest findings:
Forschungsgruppe Energienetze (FENES)
- „Investigating the Interpretability of the Temporal Fusion Transformer for a Small Real World Data Set: A Case Study Concerning Reactive Power Forecasting“. Ariane Franke.
Institut für Sozialforschung und Technikfolgenabschätzung (IST)
- „Acceptance and Concerns about Smart Meters and web-based Apps: Results of the Project EVEKT“. Miriam Vetter, Sonja Haug, Caroline Dotter, Karsten Weber.
- „Determinants of Electricity Expenditure by Private Housholds“. Miriam Vetter, Sonja Haug, Caroline Dotter, Karsten Weber.
- „Digitalisation in Home Care and Therapy“. Sonja Haug. Edda Currle.
- „Perspectives of AI in non-governmental organizations“. Franziska Hauer, Anna Scharf, Sonja Haug.
- „A quantitative study on the heterogeneity of female couples in Germany“. Anna Scharf.
- „Diversity: Important, Fair and Sustainable – but often overlooked in AI Applications“. Kendra Pöhlmann.
Laboratory for Biomechanics
- „Development of a Deep Learning Framework for Automated Gait Assessment“. Mareike Barthel, Franz Süß, Sebastian Dendorfer.
Impressions of WiDS 2024 (Photos: OTH Regensburg)