Georgina Tarrant is a Data Scientist at Surrey DataHub within the University of Surrey, holding strong affiliations with the School of Veterinary Medicine in the Faculty of Health and Medical Sciences, and the Centre for Vision, Speech and Signal Processing (CVSSP). Her work bridges data science methodology with veterinary medicine applications, focusing on extracting meaningful insights from complex online discourse related to animal health issues. Her educational background includes: MCLIP Chartered Member of CILIP (2013) MSc Information Science from City University (2004) BSc Biochemistry (Toxicology) from University of Surrey (2001) Georgina specializes in AI-enhanced social listening techniques, developing innovative end-to-end methodologies for social media data collection, cleaning, and analysis. Her research integrates natural language processing, sentiment classification, and Non-Negative Matrix Factorisation topic modeling to advance understanding of public sentiment around animal health issues. She has pioneered approaches to systematically analyze online discourse about companion animal diseases, pet owner behaviors, and concerns, contributing to evidence-based veterinary care. Her methodology increasingly incorporates large language models to enhance data filtering, classification, and thematic analysis. Analysis of her publication record reveals a consistent focus on applying social media listening to understand animal health from pet owner perspectives. Her research spans feline and canine diseases, medication administration challenges, chronic conditions like kidney disease, and NSAID use in pets. She has also made significant contributions to semantic data innovation, developing frameworks for creating data hubs that facilitate information sharing in animal health across multiple stakeholders. Georgina has been actively involved in several significant research projects: Utilising social media listening to understand feline and canine disease pathways from pet owners' perspectives Investigating health outcomes from human-animal interactions, including zoonotic diseases and antimicrobial resistance Developing conceptual semantic data hubs for animal health information sharing Contributing to the Data Innovation Hub for Animal Health (DIHAH) through vHive Developing health-related quality of life measures for cats and dogs Participating in the African Livestock Productivity and Health Advancement (ALPHA) Initiative Her career path shows progression from information management roles in various sectors to her current specialized position in academic research. Previous roles include Marketing Data Manager and Digital Content Assistant at the University of Surrey, Taxonomy Specialist and Product Marketer at Artesian Solutions, and various information management positions in financial services and library sectors. As a chartered information professional, she brings extensive expertise in data organization and information systems to her current research in veterinary data science.
