Research Highlights

Rapid advances in artificial intelligence, particularly the emergence of Large Language Models (LLMs), are transforming research practices in the humanities and social sciences. Trained on extensive textual data, LLMs enable sophisticated language tasks such as translation, summarisation, and large-scale text analysis, significantly enhancing researchers’ ability to access and interpret complex, multilingual materials. As a result, these technologies are reshaping how knowledge is generated, analysed, and disseminated across disciplines.

Building on these capabilities, the adoption of LLM-based tools is expected to substantially improve research efficiency and analytical depth. By automating time-intensive processes, researchers can devote greater attention to critical interpretation, theory development, and interdisciplinary inquiry. This shift supports innovative applications, including uncovering patterns in large textual corpora, analysing social behaviour, and extracting insights from qualitative data, thereby expanding the scope and rigor of scholarly work.

At the same time, the growing use of LLMs raises important challenges related to data bias, reliability, and ethical considerations, such as inaccuracies and model hallucinations. Addressing these issues requires critical awareness and responsible application.

Overall, this initiative seeks to advance methodological innovation, strengthen interdisciplinary collaboration, and promote the responsible integration of AI technologies, ultimately enhancing the quality, relevance, and societal impact of research.