Geographic Data Science for Sustainability

The University of Jena, within the European alliance EC2U - European Campus of City-UniversitiesExternal link, will host from 9 to 13 October 2023 the Autumn School "Geographic Data Science for Sustainability". The course is organized by Prof. Dr. Alexander Brenning and his GIScience Group within the Virtual Institute for Sustainable Cities and Communities.

The autumn school provides an overview of state-of-the-art machine-learning techniques for geospatial and environmental analysis and modelling. These methods promise to better account for nonlinearities, higher-order interactions, high dimensionality, and noisy data than ‘traditional’ statistical methods, offering improved predictive capabilities for decisio-making in environmental management for sustainability. Nevertheless, paticular challenges in the analysis of geospatial data relate to integrating process knowledge, interpreting black-box models, and accounting for spatial autocorrelation. Since operating these models requires statistical computing skills, the course also introduces the programming language R with its geospatial capabilities and machine-learning extensions, and students will apply the acquired skills using real-world geospatial data sets and hands-on exercises. Case studies considered in the course address physical as well as social aspects of sustainable development, such as landslide susceptibility, air pollution, and housing conditions.

The event targets students of geographic information science, geography, earth and environmental sciences, engineering and related disciplines at the senior undergraduate level (last year of Bachelor), Master’s level, or Ph.D. level.
Staff are also welcome to apply.

The Autmn School is generously supported by grants from EC2U mobilities. For detailed information contact your EC2U coordination office at your university.