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:
- a general part devoted to quantitative linguistics and methods for the analysis of textual data;
- 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 - 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): qatd.school@fisppa.it
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)
