This year the meeting is 15th July 2025, UK HSA, Didcot details for the meeting and registration can be found here .
The scientific programme is now available!
Tuesday 15th July, UK Exposure Science 2025 UKHSA Training Centre, Didcot, OX11 0RQ, To register your place click here.
2025 Meeting
Dr Nicola Carslaw, University of York.
‘The INGENIOUS Project: Understanding air pollution in homes‘.
Abstract: This presentation will provide an overview of the INGENIOUS (UnderstandING the sourcEs, traNsformations and fates of IndOor air pollUtantS) project, aiming to better understand air pollution in homes. Our homes are the microenvironment in which we spend most of our time, but we still know relatively little about the sources, transformation processes and fates of indoor air pollutants within them. INGENIOUS aims to address this knowledge gap by delivering: an indoor emissions inventory for UK homes; comprehensive air pollutant measurements in 310 homes in Bradford using a combination of low cost-sensors and more advanced air quality instrumentation; an analysis of the impact of indoor air pollution on outdoor air quality and vice versa using mobile measurements; insight into future indoor air quality using detailed air pollution models; identification of indoor air pollutants that warrant further toxicological study; and better understanding of the barriers and facilitators for behaviour that drives improved indoor air quality. The presentation will cover some preliminary findings from the study and their implications.
Prof Gavin Shaddick, Cardiff University
AI & Data science for exposure assessment in health risk analyses
Epidemiological studies designed to estimate the risks associated with air pollution require accurate measures of exposures that can be linked to adverse health outcomes at a granular level over both space and time. Traditionally, this information was based on measurements from ground monitors but this may not provide information of sufficient quality and coverage to allow accurate spatial (and temporal) prediction at any location at which estimated concentrations are required. Advances in Data Science and Artificial Intelligence (AI) offer unprecedented opportunities to integrate data from multiple, diverse, sources to create estimates of exposures to air pollution across the spatial and temporal scales that are required across epidemiological studies, health impact analyses and burden of disease assessments. However, there can be challenges when different data sources represent fundamentally different quantities; data may be measured or modelled at multiple scales and needs to be ‘joined together’ in a coherent fashion; and each of the data sources may have different error structures and uncertainties, and these may vary over both space and time. In this presentation we will explore how Data Science and AI is providing a step-change in our ability to model the complex interactions between different sources of information that define exposures to air pollution. Examples include the estimation of exposures on a global scale for air pollution related SDG indicators and the integration of measured and modelled estimates of concentrations with human behaviour to estimate personal exposures to air pollution for use in health impact analyses, epidemiological studies and policy development.
Previous Meetings
2024 Imperial College London
2022 University of Leicester
2021 Online, hosted virtually by University of Manchester
2019 Edinburgh, hosted by Institute of Occupational Medicine