Join us as the University of Glasgow’s Claire Miller explores the statistical and data analytics approaches being developed to successfully bring different data sources together to improve environmental planning and management.
We now have the potential to access more data than ever before, which can help us to explore important, complex and increasingly pressing environmental issues. However, each source of data often has its own limitations, meaning there's often missing information from an individual data source. To get a more complete picture, we can combine data from different data sources. Considerable challenges exist in integrating the data in this way as the data can be recorded at different time points and/or in different spatial locations, can be large but also have gaps, and data sources can have varying levels of uncertainty, different data structures and types.
Claire will be joined in conversation by LSE’s Sefi Roth, Associate Professor of Environmental Economics. This event will include audience Q&A, a drinks reception and networking opportunities.
Meet our speakers and chair
Claire Miller is Professor of Statistics in the School of Mathematics and Statistics at The University of Glasgow. Claire's research interests include developing spatiotemporal statistical and data analytics methodology to support real-world environmental impact. Claire was recently awarded the Royal Statistical Society Barnett Award 2025 for exceptional contributions to environmental statistics and pioneering work in water quality measuring, monitoring and forecasting.
Sefi Roth (@Sefi_Roth_) is Associate Professor of Environmental Economics in the Department of Geography and Environment at LSE. He is also the founder and co-leader of the Economics of Air Pollution (EAP) research group at the Grantham Research Institute on Climate Change and the Environment. His research mainly concentrates on the economics of air pollution, exploring the impacts of ambient and indoor air pollution on health, human capital, crime, the housing market, and the economy more broadly.
Milan Vojnović is the incoming Head of Department for the LSE's Department of Statistics. His research is in the area of machine learning and statistical inference. Prior to joining LSE, Milan was a senior researcher with Microsoft Research, where he worked for 13 years on a wide-range of projects. He authored the book Contest Theory.
More about this event
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