Towards a general framework for co-location
Explores how definitions and uncertain observations affect whether we can identify when people were in the same place.
Keiran Suchak
Keiran Suchak is a Research Fellow in Mobility Data Science at the University of Leeds, researching movement, space and health.
Mobility data science
Researching movement, space, and health.
I am a Research Fellow in Mobility Data Science in the School of Geography at the University of Leeds. My current research explores the mobility of healthcare workers and its impact on infection transmission within healthcare settings.
Selected work
From identifying co-location to updating real-time crowd models.
Coupling an agent-based model and an ensemble Kalman filter for real-time crowd modelling
Combines a crowd simulation with incoming observations to keep its model closer to what is happening in real time.
Working across spatial data science and mobility research.
I am a member of the Institute for Spatial Data Science and the Mobility Science Lab.