Kerstin Rau
Address:
Eberhard Karls University Tübingen
Soil Science and Geomorphology
Rümelinstraße 19-23
D-72070 Tübingen
Office: Westbau W304
Consulting hours:
by arrangement
Function: Doctoral student
CV:
18th April 1995 in Wangen im Allgäu, Germany
Project:
Cluster of Excellence Machine Learning EXC 2064/1: Interpretable spatial machine learning for environmental modelling
Education:
Since 04/2020 | PhD student at the Eberhard Karls Universität of Tübingen, Germany |
10/2019 | First Staatsexamen for the teaching profession at grammar schools Thesis in Mathematics: ‘Assoziierte Primideale‘ (apl. Prof. Dr. Thomas Markwig, Tübingen) |
10/2013 - 10/2019 | Studies in Geography and Mathematics at University of Tübingen, Germany |
Field work:
| Nahuelbuta and La Campana, Chile (biocrust sampling, soil erosion survey) |
| Mesa Redonda, Villaverde del Río, Spain (soil sampling and mapping) |
Memberships:
- DBG: Deutsche Bodenkundliche Gesellschaft (Link) [German Soil Science Society]
- EGU: European Geosciences Union - Soil System Sciences (Link)
Public outreach:
since April 2023: Member of KI macht Schule (https://ki-macht-schule.de/) at the local group Tübingen |
| April and July 2023: Workshops with Deutsche Schule Rom und Freiherr-vom-Stein Schule Eppstein |
| February to October 2023: Demo of my research at the Stadtmuseum Tübingen in the exhibtion "Cyber and the City: Künstliche Intelligenz bewegt Tübingen" |
| November 2022: Winner of the outreach projekt "I'm a Scientist, get me out of here: Runde KI" |
| July 2022: Demo of my research at Science & Innovation Days Tübingen |
| September 2021: Co-organizor for the first ELLIS Doctoral Symposium 2021 in Tübingen |
Teaching:
| SS23 | Exkursion im Rahmen von GEO21 Bodenkunde und Geomorphologie (Prof. Dr. Thomas Scholten) |
| SS22 | Exkursion im Rahmen von GEO21 Bodenkunde und Geomorphologie (Prof. Dr. Thomas Scholten) |
| SS21 | Exkursion im Rahmen von GEO21 Bodenkunde und Geomorphologie (Prof. Dr. Thomas Scholten) |
| SS19 | Tutorin für GEO 21 Bodenkunde und Geomorphologie (Prof. Dr. Thomas Scholten) |
| WS18/19 | Tutorin für GEO 14 Kartographie und Statistik (Dr. Hans-Joachim Rosner) |
| SS18 | Tutorin für GEO 21 Bodenkunde und Geomorphologie (Prof. Dr. Thomas Scholten) |
| WS17/18 | Tutorin für GEO 14 Kartographie und Statistik (Dr. Hans-Joachim Rosner ) |
Conference Contributions:
2023
Rau, K., Gläßle, T., Eggensperger, K., Schneider, F., Hennig, P., & Scholten, T.: How can we quantify, explain and apply the uncertainty of complex soil maps predicted with neural networks? EGU General Assembly 2023, Vienna, Austria. [PICO]
2022
Rau, K., Gläßle, T., Hennig, P., & Scholten, T.: Spatial prediction of soil type maps with Neural Networks including quantification of model uncertainty. 22nd World Congress of Soil Science 2022, Glasgow, United Kingdom. [poster]
Rau, K., Gläßle, T., Hennig, P., & Scholten, T.: Spatial prediction of soil type maps with Neural Networks including quantification of model uncertainty. ELLIS Doctoral Symposium 2022, Alicante, Spain. [poster]
Rau, K., Gläßle, T., Hennig, P., & Scholten, T.: Spatial prediction of soil type maps with Neural Networks including quantification of model uncertainty. Jahrestagung der Deutschen Bodenkundlichen Gesellschaft 2022, Trier, Germany. [talk]
Rau, K., Gläßle, T., Hennig, P., & Scholten, T.: Spatial prediction of soil type maps with Neural Networks including quantification of model uncertainty. EGU General Assembly 2022, Vienna, Austria. [talk]
Gläßle, T., Rau, K., Scholten, T., & Hennig, P.: Hierarchical Soil Classification using Gaussian Processes. EGU General Assembly 2022, Vienna, Austria. [talk]
2021
Rau, K., Gläßle, T., Rentschler, T., Hennig, P., & Scholten, T.: Spatial prediction of soil thickness with Gaussian Process Regression using pedological knowledge described by partial differential equations. EGU General Assembly 2021, Vienna, Austria. [vPICO]
Gläßle, T., Rau, K., Schmidt, K., Scholten, T., & Hennig, P.: Topographic Kernels for Gaussian Process Regression in Digital Soil Mapping. EGU General Assembly 2021, Vienna, Austria. [vPICO]