Dr Claudia Bade
About the person
Claudia Bade has headed the office of Hochschuldidaktik Sachsen as scientific managing director since 2019. She represents the HDS externally and is responsible for the content and professional development as well as the scientific foundation of the HDS's programmes. The Saxon universities founded the HDS in 2009 as the first joint central institution in the Saxon higher education area in order to coordinate and learn from each other in the further training of teachers in higher education didactics and course and organisational teaching development throughout the state.
Mrs Bade studied to become a teacher and completed her doctorate on "Informal Learning in Science Centres" in educational science in 2010. After working in the French higher education and school system, as an international project manager at a social entrepreneurship and as a deputy professor for skills development and lifelong learning at Leipzig University, she switched to science management in 2016. She is currently involved, among other things, as deputy chair of the "Freiraum" selection committee of the Innovation in Higher Education Foundation and as a member of the "Die Welt ist mein Campus" committee. Her research focuses on organisational development in higher education and academic development, particularly in relation to European and international dimensions. She has extensive experience in building cross-university networks that promote the professionalisation of teaching and systemic change in education.
Current publications
Bade, C.; Kordts, R.; Lohner, D.; Vöing, N. (2024): 50 Jahre Arbeitsgemeinschaft bzw. Deutsche Gesellschaft für Hochschuldidaktik - Spannungsfelder mit Tradition. Available for download at: https://doi.org/10.25656/01:31727
Bade, C., Clauss, A., Riedel, J.; Schulz, A. (eds.) (2024): Digitalisation of higher education in Saxony | Hochschuldidaktik Sachsen (HDS): Concepts for digitally supported higher education teaching. Ideas, Good Practice and Suggestions from the Project 'Digitalisation of Higher Education in Saxony'. Results from Digital Fellows, Digital Change Agents and participants in Digital Workspaces. Available for download at: https://nbn-resolving.org/urn:nbn:de:bsz:15-qucosa2-943894.
Bade, C. (2021). Networks in higher education didactics: An approach to the status quo of practice from the perspective of a federal state. In B. Szczyrba, A. Scholkmann, R. Kordts-Freudinger & N. Schaper (Eds.), Handbuch Hochschuldidaktik (1st ed.). UTB.
Teaching
Basics of teaching skills development
Dates:
- 28 October 2025 + 27 January 2026 from 14:00 to 18:00 in MIB-1107
- 28.01.2026 from 09:00 to 12:00 in the MIB-1107
- 11.11.2025+02.12.2025+09.12.2025+13.01.2026 from 16:15 to 17:45 online
Dr Raimon Tolosana Delgado
About the person
Raimon Tolosana-Delgado (degree in Engineering Geology, 2002; master in Environmental Physics and Technology, 2004; PhD in Environmental Sciences, 2006; habilitation in Mathematical Geology, 2017) works at the interface between data analysis, geology and engineering since 2002. He has worked contributed with his applied data science expertise to research groups covering a wide variety of topics (applied statistics, wastewater treatment, sedimentology, ocean sciences) and since 2012 works at the Helmholtz Institute Freiberg for Resource Technology (HIF-HZDR) in topics of mining and recycling of mineral streams. His research interests currently cover:
predictive geometallurgy, the development and usage of applied mathematics and data science tools for forecasting the behaviour of raw materials through the mineral value chain:
compositional data analysis, the statistical analysis of data under constant sum constraints and similar limitations;
geostatistics, the application of stochastic processes to model real-world spatially dependent data;
applied Bayesian statistical methods, as the framework to merge conceptual models with sparse evidence, as so often occurs in studies of the Earth subsurface; and
programming of scientific packages, in particular in R and julia.
Teaching
Data Analysis Project
Dates: Wednesdays 16:15 to 19:00 in KKB-2097 (from the 2nd week of lectures)