Scotland has a particularly high concentration of research groups working in the AI subfield of computational argumentation. Scottish Argumentation Day has previously been attended by researchers based both in Scotland and further afield, and has enabled the Scottish argumentation community to present their work in an informal setting, share feedback, and strengthen professional links. SAD began with Aberdeen 2011, and most recently took place in Edinburgh 2024.
In continuing this series, our aim is threefold: (i) enable Scottish argumentation researchers, and especially PhD students, to mutually present their work; (ii) affirm Scottish argumentation research as a recognisable presence; (iii) provide a concrete opportunity for Scottish researchers to network.
At SAD 2026 we aim to improve visibility for Scotland-based researchers, especially PhD students and early-career researchers, to encourage knowledge- and skill-exchange at all levels, and to foster cross-institution relations and collaborations.
Elena Musi is a Reader (Associate Professor) at the University of Liverpool, leading the MSc in Data Science and Communication. Her expertise lies at interface between Applied Linguistics, AI and Communication Sciences. She investigates social and interactional meaning combining analyses grounded in linguistic theory with empirical validations through computational models with a particular focus on Argumentation and Misinformation. She has secured over £1M in funding as PI or Co-I and worked as a consultant for the WHO and the Italian Digital Media Observatory.
Mark Snaith is a Senior Lecturer in the School of Computing, Engineering and Technology at Robert Gordon University, Aberdeen.
His research interests lie in computational models of argument and dialogue, including argument dynamics, dialogue strategies, extraction and analysis of dialogue structures, and implementations of argumentation systems. He also has a keen interest in finding innovative, real-world applications of these in areas such as health and wellbeing, law, and education.
Henning Wachsmuth leads the Natural Language Processing Group at the Institute of Artificial Intelligence of Leibniz University Hannover. After receiving his PhD from Paderborn University in 2015, he worked as a PostDoc at Bauhaus-Universität Weimar and as a junior professor in Paderborn, before he became a full professor in Hannover in 2022. His group does basic research on large language models for computational argumentation, social bias detection and mitigation, as well as explainable and educational NLP. Henning's main research interests include the generation of audience-aware text, the assessment of pragmatic text quality, and the modeling of bias and framing.
We gratefully acknowledge the financial support of SICSA.
Contact us at: scottish[.]argumentation[.]day[.]2026[AT]gmail[.]com.