Vassilis Routsis

Vassilis Routsis serves as a Lecturer in Technologies in the Digital Humanities at University College London's Department of Information Studies, holding a dual appointment as Senior Research Fellow. His primary responsibility involves managing the UK Data Service's census flow data project, working closely with the Office for National Statistics (ONS) to disseminate 2011 and 2021 UK census data. Currently, he leads the development of next-generation tools including sophisticated APIs with subsetting capabilities and user-friendly interfaces for census data discovery and extraction.

Routsis earned his PhD from UCL with research focused on Informational Privacy and Self-Disclosure Online: A Critical Mixed-Methods Approach to Social Media. His academic background includes a BA in Sociology and an MSc in Social and Political Theory, establishing a robust foundation in social sciences that informs his interdisciplinary approach to digital humanities.

His research spans the intersection of technology and social sciences, with particular emphasis on data privacy, census data analysis, and AI applications for social research. Routsis currently leads the ESRC-funded CORDIAL-AI project exploring how Large Language Models can improve access to complex datasets, and co-leads the Census Innovation at CeLSIUS project focused on enhancing access to restricted UK Census data through synthetic datasets and improved user guidance.

Routsis teaches postgraduate courses in programming, databases, and AI, leading modules including 'Server-Side Programming and Structured Data,' 'Social Media Analytics,' 'Database Theory and Practice,' and 'Developing Dynamic Web Applications.' His recent publications demonstrate a clear trend toward making complex data more accessible through innovative technological solutions, particularly focusing on census flow data and AI methodologies for data retrieval.

• ESRC-funded CORDIAL-AI project lead
• Census Innovation at CeLSIUS project co-lead
• Member of Royal Statistical Society
• Peer reviewer for Digital Humanities Conference and iConference

As supervisor for Master's and PhD students in Digital Humanities and Data Science programs, Routsis brings extensive technical expertise across multiple programming languages including Python, JavaScript, PHP, SQL, Java, C#, and R. His work at the UCL Centre for Languages and International Education as a software and web engineer further demonstrates his commitment to developing pedagogical tools that support academic communities.