Dates
| single appointment | We, 14.10.2026, 10:15 - We, 14.10.2026, 13:45 | C 40.108 Seminarraum |
| single appointment | We, 21.10.2026, 10:15 - We, 21.10.2026, 13:45 | C 40.108 Seminarraum |
| every 14 days | Wednesday | 10:15 - 13:45 | 11.11.2026 - 09.12.2026 | C 40.108 Seminarraum |
| single appointment | We, 16.12.2026, 10:15 - We, 16.12.2026, 13:45 | C 40.108 Seminarraum |
| single appointment | We, 06.01.2027, 10:15 - We, 06.01.2027, 13:45 | C 40.108 Seminarraum |
| single appointment | We, 27.01.2027, 10:15 - We, 27.01.2027, 13:45 | C 40.108 Seminarraum |
Curriculum context
Poster (40%)
Poster presentation (40%)
Resit date: No resit date will be offered to this assessment, because it is didactically inseparably connected with one of the associated courses. A resit will only be possible, if the module is available again.
Organizational information
Registration
Die Anmeldung beginnt erst am 02.10.2026 um 08:00 Uhr. Sie endet am 12.10.2026 um 23:59 Uhr
Persons
Content
Methodenorientiert - naturwissenschaftlich
Nachhaltigkeitsorientiert
This seminar deals with the most recent research on geospatial artificial intelligence (GeoAI), which is about developing automatic methods that handle geospatial data to solve real-world problems. Such data range from natural language descriptions of places and events to satellite imagery and weather sensors, to name only a few.
Concretely, we will develop a methodological understanding of AI and Geographical Information Systems (GIS) methods by dissecting foundational research papers and literature in the first part of the seminar. In the second part, students pick a specific societal challenge and focus on the GeoAI approach to solve it, thereby learning in-depth competencies in a field which matters to them. Further, this might act as a stepping stone for students to find a field they want to conduct research on in their thesis and beyond.
Besides this methodological approach, some students can also focus on a more creative examination of GeoAI topics with the objective of developing an interactive installation using existing GeoAI methods or data.
Another key aspect will be the discussion about differences between the considered and related disciplinces (e.g., disaster resilience, mobility, environmental research, flows, remote sensing, etc.) and the backgrounds that the students in this complementary course come from, as well as the specific challenges of ethical considerations towards GeoAI, referred to as GeoAIEthics.
In a total of eight sessions, this course is all about active and informed discussion of the latest research, and connecting the diverse backgrounds and interests of students in this highly interdisciplinary field.
Students from any discipline
- learn to understand very recent research papers in depth.
- find their own access to the exciting and dynamically developing field of geospatial data and AI.
- engage in academic discussions.
- understand state-of-the-art methods, algorithms, and applications for GeoAI.
- critically reflect on societal challenges and ethical and philosophical considerations related to GeoAI.
- contribute their individual backgrounds to an engaged discussion and interactive course.
Evaluation
Further information on teaching evaluation: https://www.leuphana.de/en/teaching/quality-management/evaluation/course-evaluation.html