Abstract

In this talk, we aim to bring together case studies from the UK public sector organisations
who have taken innovative approaches to explore and better understand the intersection between
human mobility and health. The talk will present case studies involving non-traditional big data sources
and advanced machine learning modelling techniques to understand the complex interplay between health and mobility
and showcase tools to aid policy makers through evidence-based decision making. For example, causal inferences can
be a real challenge in a data landscape with highly interrelated influences such as mobility and health. The talk
will present ways to tackle this challenge with real world examples. The talk will be of interest to a broad range
of audience as the case studies will tackle some of the major technical and methodological hurdles requiring
a consolidation of the advanced statistical and machine learning techniques.