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Nick Roxburgh joined the James Hutton Institute as a Social Systems Simulation Modeller in 2021. He specialises in developing agent-based models of social and socio-environmental systems, with a particular focus at present on agriculture, food value chains, global food trade, and rural economies.
I am one of the Institute's Mental Health First Aiders and have completed my Applied Suicide Intervention Skills Training which enables me to support people in crisis.
Education
BSc Computing Science (with Distinction)
PGDE Secondary (Computing)
I am a Macaulay Development Trust Fellow in Land Use and Societal Metabolism (here at The James Hutton Institute in Aberdeen,
I am a Senior Researcher working in the application areas of :
Policy modelling (and the identification of unintended policy outcomes)
Habitat restoration – Carbon sequestration – Biodiversity offsetting
Natural capital accounting and investment vehicles,
Community-and ecosystem-based climate change adaptation, and
Food systems.
I do this work, at my desk and – most happily – in the field, by developing and applying novel techniques for:
I am a post-doctoral researcher currently employed within the Innovate UK funded project “In-Field Optical Detection of Potato Disease (Poptical)”. As such it is my role to design, establish, maintain and perform plant disease diagnostics on field and greenhouse trials that aim to determine which diseases of potato plants can be detected (and differentiated) by proximal sensing technologies such as UAV-captured imagery and field spectrometry.
I am a Research Software Engineer (RSE) working as part of the Information & Computational Sciences (ICS) Department. I am responsible for the conceptualisation, management and development of cutting-edge mobile applications, databases and web applications for funders (BBSRC, EU, CGIAR, Crop Trust, Norwegian Government) as well as commercial breeding companies through James Hutton Limited (JHL). My role is to drive the development of software solutions for plant genetic resources collections, phenotypic data collection and visualization tools.
I have a background in environmental science and engineering. Over the past 15 years I have been conducting interdisciplinary research
