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1st ACM SIGSPATIAL International Workshop on Methods for Enriched Mobility Data:

Emerging issues and Ethical perspectives 2023 (EMODE23)

November 13, 2023

Hamburg, Germany

Joint with ACM SIGSPATIAL 2023International Conference on Advances in Geographic Information Systems

Mobility data collection and analysis is nowadays essential in many domains such as understanding human mobility, predicting diseases, building urban and transportation infrastructure, sustainable mobility, improving tourism, and many other applications.


Mobility data has generally the form of trajectories that represent the tracks of a moving object (human, vehicle, or animal). Methods for collecting, representing, and analysing trajectories have reached a certain maturity level in the literature. However, new challenges arise in the context of a more general mobility enrichment, fostered by the increasing data availability like the initiatives of mobility data sharing and mobility data spaces. In particular, many unresolved questions remain regarding the management and analysis of mobility data that is enriched with various forms of heterogeneous semantic information.Furthermore, when analysing this new kind of enriched mobility data, one should take into account possible misuses.


Societal good applications and methods for collecting, processing, and using these data and the results of analyses should be identified and chosen in order to ensure ethically desirable outcomes. The results of the algorithms and the suggestions provided should not be biased or discriminatory towards particular groups or populations. There is a need for an interdisciplinary approach to these semantically enriched spatio-temproal data and there is therefore a need to exploit methods from other disciplines like AI, NLP, and Ethics.


The EMODE23 Workshop focuses on all these novel aspects and issues for managing and analysing the enriched mobility data. The scope of the workshop is to bring together researchers in the SIGSPATIAL community as well as researchers in related disciplines that can be synergistic and complementary to advance the state-of-the-art techniques.