Summer School

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

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 issue addressed to a relevant methodological problem that has changed over time
    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.

The 6th edition of the IQLA-GIAT Summer School in Quantitative Analysis of Textual Data will take place in Padova 4-8 September 2023

Application deadline: May, 31st --> SOLD-OUT <--

If you want to be included in the waiting list (in case of cancellations):

Lecturers: Dominique Brunato (CNR, Pisa); Joanna Byszuk (Polish Academy of Sciences of Kraków); Silvia Crafa (University of Padua); Emmerich Kelih (University of Vienna); Patrick Juola (Duquesne University, Pittsburgh); Sébastien Lê (CNRS, Rennes); George Mikros (Hamad Bin Khalifa University, Doha); Stefano Ondelli (University of Trieste); Adam Pawloski (University of Wrocław); Matilde Trevisani (University of Trieste)