Paul Young

About
I am an atmospheric and climate scientist, using environmental data science to conduct transdisciplinary research on global change. I collaborate with stakeholders in business, policy and civil society, and disciplines from environmental science, data science, management, social science, arts and humanities. My interests include uncertainty quantification and process model evaluation, climate change and business, community-engagement, and frameworks for decision making. My expertise and experience cover Earth system science, air quality and the ozone layer; climate models; visualisation and open science tools; and work at the interface with critical social science. I work mainly in UK, European and Global South contexts.
Organisation
LU - Lancaster Environment Centre
Role
Theme Leader

Associated projects

Explainable AI for UK Agricultural Land Use Decision-making

Agricultural land use dynamics and their associated driving factors represent highly complex systems of flows that are subject to non-linearities, sensitivities, and uncertainties across spatial an

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