Working with LLMs across the HASS Research Lifecycle: Research, Writing, and Dissemination
Description
This hands-on workshop with Prof Laurence Anthony explores how large language models (LLMs) can be used responsibly across the entire humanities and social sciences (HASS) research lifecycle.
Participants will work through practical activities covering literature review, preparing data in different formats for analysis, qualitative coding, clustering, annotation, writing, revision, summarization, translation, and adapting findings for different audiences.
We will examine how LLM outputs are shaped by their training data, model architecture, alignment processes, and system and user prompts. We will then evaluate how effectively LLMs perform different research tasks and consider why they are better suited to some activities than others. Finally, we will compare the advantages and challenges of cloud-based and locally run models, including their capability, usability, cost, privacy, data security, control, and hardware requirements.
Open to all researchers and HDR candidates.
If you have any questions about this workshop, please contact Martin Schweinberger (m.schweinberger@uq.edu.au).
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Professor Laurence Anthony
Laurence Anthony is Professor of Applied Linguistics at the Faculty of Science and Engineering, Waseda University, Japan, and a founding member of the Center for English Language Education in Science and Engineering (CELESE). His research focuses on English for Specific Purposes (ESP), corpus linguistics, language data science, artificial intelligence, and educational technology. His recent work explores the integration of AI into language research and pedagogy. He is best known for developing the widely used corpus analysis toolkit AntConc, for which he received the National Prize of the Japan Association for English Corpus Studies (JAECS).
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