Global Academy of Agriculture and Food Security

Data-Driven Innovation

Advances in data science, communication-, sensor- and earth observation-technologies are driving a ‘fourth revolution’ in agriculture. Data-Driven Innovation is a cross-cutting theme, supporting our work in the Agri-Food Systems Innovation and Food, People, Planet themes.

Our interests include data-driven innovation in agri-food system sustainability, including decision support tools, machine learning and artificial intelligence; precision farming; promoting food-supply-chain integrity and authenticity; and modelling, testing and evaluating the impact of agri-food system interventions. 

We welcome applicants for PhD studies in any of these areas, as well as discussions for research collaboration.

Please contact individual researchers for research collaboration.  For more information on PhD admissions email 

Staff Profiles Research Interests

Dr Peter Alexander

Land use systems, complex systems modelling
Dr Lisa Boden Veterinary public health, population medicine, medical law and ethics, animal disease outbreaks, disease risk assessment, contingency planning, policy advice
Dr Jonathan Hillier Mathematics, crop and pest modelling, environmental impacts, natural resource availability, biodiversity, decision support tools
Prof. Dominic Moran Agricultural and resource economics, environmental management, climate change, food supply chains, antimicrobial resistance
Dr Raf de Oliveira Silva Applied and computational mathematics, sustainable intensification, livestock production systems, integrated crop-livestock systems
Prof. Geoff Simm Animal breeding, animal genetic improvement, programme management, sustainable agricultural production, research into policy
Dr Kirsteen Shields Human rights law, land reform, corporate compliance, ethical trade systems
Prof. Joyce Tait Science in innovation, risk governance, academic-industry linkages, science into society, science evaluation, sustainable development

Research Fellows


Dr Debby Lipschutz-Powell