Simon Scheider

Simon Scheider is an assistant professor in geographic information science at the Department of Human Geography and Spatial Planning at Utrecht University. His research lies at the interface between conceptual modeling, geographic data analysis and knowledge extraction. He is particularly interested in understanding the concepts underlying spatio-temporal data, including reference systems, fields, places, spatial objects, events, trajectories and their relationship to human activities, and in practical methods for modeling and handling them with GIS and semantic technology. In the Exposome project, Simon contributes in the context of the generalization of geocomputational exposure models as well as agent-based models to assess the impact of preventive health strategies.


Where to go and what to do: Extracting leisure activity potentials from Web data on urban space

van Weerden D, Scheider S, Adams, B, Spierings B, van der Zee E.
Computers, Environment and Urban Systems Volume 73, January 2019, Pages 143-156

Towards sustainable mobility behavior: research challenges for location-aware information and communication technology

Weiser P, Scheider S, Bucher D, Kiefer P, Raubal M.
GeoInformatica volume 20, pages213–239(2016)

Pedestrian flow prediction in extensive road networks using biased observational data

May M, Scheider S, Rösler R, Schulz D, Hecker D.
GIS '08: Proceedings of the 16th ACM SIGSPATIAL international conference on Advances in geographic information systems (pp. 471-480). New York: ACM.

Simon Scheider

Contact information

Utrecht University
Human Geography and Spatial Planning

Vening Meineszgebouw A
Room 6.16
Princetonlaan 8a
The Netherlands
+31 30 253 2966

Areas of Expertise

Computational modelling Geoinformatics Geospatial analyses Information Systems

Our ultimate goal is that people live healthily for longer

Our ultimate goal is that people live healthily for longer

We know far less about the exposome than we do about the human genome. So far, we only understand about half of the disease burden for which we know the environment plays a role. If we want to prevent people from becoming ill, then we need to understand the other half too. We therefore want to systematically analyse the exposome for the first time. We will start with research into the causes of cardiovascular disease and type 2 diabetes. The techniques and insights from this research will also be applicable to other chronic conditions.

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