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Active since 2013 and now in its seventh edition, the international summer school IQLA-GIAT in Quantitative Analysis of Textual Data is an outstanding educational opportunity in the field of quantitative methods for text analysis. The school is aimed at undergraduate and graduate students, doctoral candidates, post-docs, researchers, and scholars (both academic and non-academic) from all disciplines within the humanities and social sciences who are interested in tools for studying large digital textual corpora (documents, novels, newspapers, social media).
The programme of the summer school is characterized by three main elements:

1. A general part, which provides an introduction to quantitative methods for text analysis.
2. A thematic focus, which explores an emerging topic and its related effects on research.
3. A series of practical workshops, where participants, through individual and group activities, can acquire practical skills in using advanced tools.

This year's theme addresses the challenges posed by artificial intelligence (AI) and the use of large language models (LLMs) to traditional methods of text data analysis. The central theme for the 2025 edition is the question: Large Language Models: Does AI Challenge Traditional Methods?
Computational methods are now fundamental in many disciplines, including linguistics, sociology, philosophy, pedagogy, psychology, history, economics, communication studies, political science, statistics, and literary studies. The activities of the school are designed to stimulate critical reflection on the advantages and limitations of methods and to engage in discussions with participants in an interdisciplinary context about the potential, challenges, and opportunities of various approaches. The interdisciplinarity of the school is ensured both by the presence of speakers from different scientific fields and by the diverse backgrounds of the participants.
In summary, the school aims to share knowledge about methods, software, corpora, scientific literature, and research results; promote dialogue between disciplines on a current topic such as the use of LLMs in text analysis; develop innovative analytical tools and integrated research methods; and introduce young researchers to highly qualified research contexts. The school also serves as an ideal platform for establishing collaborations in international research networks, developing cross-disciplinary skills, and exploring the new challenges of research in the fields of humanities and social sciences.