Digital Earth, Society, and Networks
Digital geospatial technologies and communication tools are radically changing our societies. Students will learn how to use and develop computing methods to address pressing societal and global challenges. This involves working with a diverse range of quantitative and qualitative data including environmental measurements, socio-demographic statistics, user-generated data, diverse network data and various sensor data. These are contextualized through spatial and temporal references to understand the real-world dynamics of societal processes.
Facts & Figures
* mandatory student council-contribution (ÖH): €25.20/sem
*tuition fee after 4+2 tolerance sem: €600/sem

“We are focusing on understanding geospatial and social processes through the AI-based analysis of user-generated digital data.”Bernd Resch, Professor of Geosocial Artificial Intelligence