DSNE: Data Science of the Natural Environment

In DSNE, we will develop a data science of the natural environment, deploying modern machine learning and statistical techniques to enable better informed decision-making as our climate changes. While an explosion in data science research has fuelled enormous advances in areas as diverse as eCommerce and marketing, smart cities, logistics and transport, health and wellbeing, these tools have yet to be fully deployed in one of the most pressing problems facing humanity, that of mitigating and adapting to climate change. This project brings together world-leading statisticians, computer scientists and environmental scientists alongside an extensive array of key public and private stakeholder organisations to effect a step change in data culture in the environmental sciences.

For further information:

EPSRC New Approaches to Data Science Call

Associated members

Paula Harrison

UKCEH - Soils & Land Use

Paula is a Co-Director of CEEDS, Professor of Land and Water Modelling and Principal Natural Capital Scientist at the UK Centre for Ecology &…

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Christopher Nemeth

Member (Staff)
LU - School of Mathematics and Statistics

Chris Nemeth is a Lecturer in Statistical Learning in the Department of Mathematics and Statistics at Lancaster University. His research is in the…

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Pete Henrys

Theme Leader
UKCEH - Soils & Land Use

Peter Henrys is a chartered statistician at the UK Centre for Ecology and Hydrology specialising in long term large scale spatial-temporal modelling…

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