The research work in the Environmental Crowdsourcing Lab (ECsL) is focused on topics and ideas that deal with the interpretation, mining and integration of crowdsourced volunteered spatio-temporal data (citizen science and participatory mapping) aimed at the augmentation and enrichment of environmental knowledgebase infrastructures.

Research deals mainly with route optimization, cognition of the environment, augmenting natural hazards systems, location based services, and moving objects’ pattern recognition and behavior detection.