Rate My Professor Christopher Brewster

Brewster's research centers on data science and artificial intelligence, encompassing semantic technologies, ontologies and knowledge graphs, interoperability architectures such as Data Spaces, FAIR data principles and Fair Digital Objects, digital twins, knowledge graph maintenance, integration of heterogeneous data for large language models, and the ethics and governance of AI and digital technologies. He applies these to agriculture for environmental and social sustainability, food systems including logistics and supply chains, biodiversity, ecological monitoring, landscape-scale AI, and One Planet initiatives. As Principal Investigator, he leads the Horizon Europe EU-Farmbook project (2022-2029) and BioFIN project (2024-2026); he coordinates the Horizon Europe OpenAgri (2024-2026) and Ambrosia (2024-2027) projects, serves as lead scientist on TNO's Quantifarm projects, and is co-Principal Investigator on the NWO-funded GENIUS AI Lab. Key publications include 'Data sharing in agricultural supply chains: Using semantics to enable sustainable food systems' (2024), 'Geospatial Framework for Assessing the Suitability and Demand for Agricultural Digital Solutions in Europe: A Tool for Informed Decision-Making' (2025), 'Investigating FAIR data principles compliance in horizon 2020 funded Agri-food and rural development multi-actor projects' (2024), 'Investigating the effect of different fine-tuning configuration scenarios on agricultural term extraction using BERT' (2024), and 'Ontology-Based Access Control for FAIR Data' (2020).