The 7th edition of the IQLA-GIAT International Summer School in Quantitative Analysis of Textual Data, which will take place in Padua from 8th to 12th September 2025.

Palazzo de Claricini (Dip. FISPPA)
Via M. Cesarotti, 10/12
35123 Padova

The IQLA-GIAT Summer School is a project funded by the University of Padova and directed by Professor Arjuna Tuzzi (University of Padova). It is organized by Interdisciplinary Text Analysis Group (GIAT) in collaboration with the International Quantitative Linguistics Association (IQLA).

The IQLA-GIAT Summer School is characterized by three main elements:

1. a general part devoted to quantitative linguistics and methods for the analysis of textual data;
2. a special focus on a relevant methodological issue that has changed over time
   2025: Large Language Models: Does AI Challenge Traditional Methods?
   2023: Language Variation and Change
   2021: Quality of Texts Quality of News
   2019: Data Science and Data Scientists in Humanities and Social Sciences;
   2017: Topic Detection and Authorship Attribution in Elena Ferrante's case-study;
   2015: Measuring Style and Computational Stylistics;
   2013: Measures and Methods in Authorship Attribution
3. lab-tutorials dedicated to the computer-aided analysis of textual data.

Application and deadlines
The IQLA-GIAT Summer School is open to 20 participants including researchers, scholars and postgraduate students.
Applicants must send a file in pdf format to qatd.school@fisppa.it including:
1.    curriculum vitae
2.    personal mission statement and research interests (max 500 words)
Please note that there is no selection procedure and that the limited seats will be sold on a "first-come, first-served" basis.
Deadline: May, 31st
Tuition fee: 300€
The first 20 applicants will receive information to complete their registration with the payment of the tuition fee. The tuition fee includes coffee breaks, lunches and the social dinner.

The IQLA-GIAT Summer School is a full-time intensive course. It is an in-person event and on-line attendance is not possible.

Main topics: corpus compilation, quantitative linguistics, measures of language complexity; the role of artificial intelligence in humanities and social science research;  Python in natural language processing; chatbots and prompting techniques; authorship attribution; text classification (AI-based vs traditional methods).
Provisional list of lecturers:

Dr. Dimitris Bilianos (Kapodistrian University of Athens)
Prof. Fabio Ciotti (University of Rome Tor Vergata)
Prof. Emmerich Kelih (University of Vienna)
Prof. Patrick Juola (Duquesne University, Pittsburgh)
Dr. Alessandro Meneghini (University of Udine)
Prof. Stefano Ondelli (University of Trieste)
Prof. Adam Pawloski (University of Wrocław)
Dr. Valentina Rizzoli (Sapienza University of Rome)
Dr. Floriana Sciumbata (University of Trieste)

Info: qatd.school@fisppa.it

Download the call for applications: