Summer School

The 6th edition of the IQLA-GIAT Summer School in Quantitative Analysis of Textual Data took place in Padova 4-8 September 2023 at Complesso Beato Pellegrino (University of Padova, Italy).

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 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.


Lecturers and topics (6th edition, 2023)

  • Dr. Dominique Brunato (CNR, Pisa), Characterizing language variation through a computational linguistics lens
  • Dr. Joanna Byszuk (Polish Academy of Sciences of Kraków), Examining language variation with stylometry
  • Prof. Silvia Crafa (University of Padua), The non-neutrality of data science
  • Prof. Emmerich Kelih (University of Vienna), Quantitative linguistics: current state of the art - Modelling language and text data: the quantitative linguistics perspective
  • Prof. Patrick Juola (Duquesne University, Pittsburgh), Stylometry and the problem of coauthorship
  • Prof. George K. Mikros (Hamad Bin Khalifa University, Doha), Quantitative Profiling of AI writing - Text Classification using the simple transformers Python library
  • Prof. Stefano Ondelli (University of Trieste), Representativeness and Balance: Corpora as Samples of Language
  • Prof. Adam Pawloski (University of Wrocław), Bibliodata in quantitative research - data, methods, case studies
  • Prof. Andrea Sciandra (University of Padua), Exploring Textual Data with R
  • Prof. Matilde Trevisani (University of Trieste), Language variation and change in diachronic corpora: temporal pattern recognition and clustering of word life-cycles (with a lab in R)