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University of Exeter Business School

Dr Mattia Mancini

Dr Mattia Mancini

Postdoctoral Research Fellow


 Xfi Building F16


Xfi Building, University of Exeter, Rennes Drive, Exeter, EX4 4ST, UK


Mattia is a broadly trained scientist interested in understanding the complex linkages between human behaviour, economic activities, and the natural environment. He employs advanced spatial computational and modelling techniques to identify pathways leading to a sustainable and equitable future for all in a rapidly changing world.

His current research focusses on the development of techniques, frameworks, and models to provide guidance for environmental decision-making in order to meet environmental targets and ensure sustainable wellbeing.

Mattia received a BSc in Agriculture from the University of Torino (Italy), a MSc in Agricultural Economics from the University of Arkansas and an International MSc in Rural Development from Humboldt University (Berlin) with research on spatial externalities and the economic coexistence between GM and non-GM crops. He holds a PhD in Geography from King's College London and UCL (London NERC DTP) where he undertook work modelling land tenure changes and the evolution of cooperation in parstoralist societies in the Qinghai-Tibetan Plateau using agent-based simulation.

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Research interests

Mattia is currently co-Investigator in NetZero+, one of the five UK large scale demonstrator projects funded by UKRI to identify pathways to Net Zero through greenhouse gas removal from the atmosphere; he is co-Investigator for a NERC-funded Agile-SPRINT project led by Prof. Milner-Gulland (University of Oxford) to provide guidance to HM Treasury on practical implementation of biodiversity net-gain mandates; he led work on the spatial impacts of climate change on UK agricultural land use and greenhouse gas emissions which fed into the third UK Climate Risk Independent Assessment (CCRA3), and was involved in work to provide DEFRA with guidance on the design of new Environmental Land Management Schemes (ELMS).

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