36.1171, Summer Schools: Summer School in Quantitative Analysis of Textual Data (7th edition) (Italy)

Tue Apr 8 15:05:02 UTC 2025

LINGUIST List: Vol-36-1171. Tue Apr 08 2025. ISSN: 1069 - 4875.

Subject: 36.1171, Summer Schools: Summer School in Quantitative Analysis of Textual Data (7th edition) (Italy)

Moderator: Steven Moran (linguist at linguistlist.org)
Managing Editor: Justin Fuller
Team: Helen Aristar-Dry, Steven Franks, Joel Jenkins, Daniel Swanson, Erin Steitz
Jobs: jobs at linguistlist.org | Conferences: callconf at linguistlist.org | Pubs: pubs at linguistlist.org

Homepage: http://linguistlist.org

Editor for this issue: Erin Steitz <ensteitz at linguistlist.org>

================================================================

Date: 04-Apr-2025
From: QATD School [qatd.school at fisppa.it]
Subject: Summer School in Quantitative Analysis of Textual Data (7th edition)

Summer School in Quantitative Analysis of Textual Data (7th edition)

Host Institution: University of Padua
Website: https://www.fisppa.unipd.it/giat-en/summer%20school

Dates: 08-Sep-2025 - 12-Sep-2025
Location: University of Padua, Italy

Minimum Education Level: bachelor's and master's graduates, PhD
students

Focus: This edition's topic is the challenges that artificial
intelligence (AI) and the use of large language models (LLMs) have
posed to traditional methods of textual data analysis. The guiding
question for the 2025 edition is "Large Language Models: Does AI
Challenge Traditional Methods?"
The School is designed for bachelor's and master's graduates, PhD
students, 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 text
corpora, including newspapers, social media, documents, novels, and
interviews.
The activities of the School are designed to stimulate critical
reflection on the advantages and limitations of methods, and to engage
participants in an interdisciplinary context to discuss the potential,
challenges, and opportunities of different approaches. The
interdisciplinarity of the School is ensured both by the presence of
speakers from various scientific fields and by the diverse backgrounds
of the participants.
The School aims to share knowledge on methods, software, corpora,
scientific literature, and research
outcomes; promote dialogue among disciplines on a timely issue such as
the use of LLMs in text analysis;
develop innovative analytical tools and integrated research methods;
introduce young researchers to high-
quality research environments.
Description:
Active since 2013 and now in its seventh edition, the IQLA-GIAT
International Summer School in Quantitative Analysis of Textual Data
is a distinguished training opportunity in the fields of computational
text analysis and digital humanities. Methods for the quantitative
analysis of textual data are an object of research in linguistics,
computer science, social sciences, mathematics, and statistics but
they also serve as valuable research tools across further disciplines,
such as psychology, philosophy, sociology, sociolinguistics,
education, history, political studies, literary studies,
communication, and media studies.
Digital sources that provide archives of books, documents, and
journals or disseminate information, such as newspapers and social
media, now constitute an essential foundation for many research
studies. Recent developments in computational methods and large
language models have not only transformed how research is conducted in
the humanities and social sciences but also reshaped how it is
conceived and designed. The demand for data scientists is growing in
all disciplines, both in academia and in productive and commercial
sectors, and a new generation of researchers must be trained to apply
data science methods to a wider range of applications.
The IQLA-GIAT Summer School is defined by three main elements:
1. A general section dedicated to quantitative methods for text
analysis.
2. A distinctive methodological topic that has changed in each
edition.
  2025: Large Language Models: Does AI Challenge Traditional Methods?
  2023: Language Variation and Change from a Computational Perspective
  2021: Quality of Texts quality of News (online edition)
  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 case studies and computer-aided analysis
of textual data.
 - Would you like to analyse large volumes of text, such as novels,
transcriptions of open-ended interviews, scientific literature, or
social media comments, to identify patterns and trends in language
usage? Are there simply too many texts for any scholar to read in a
lifetime?
 - Why not let a computer do the work?
 - While software can’t perform close reading, mathematical and
statistical tools can be used for distant reading, collecting data,
extracting relevant information, summarizing features, and identifying
patterns. Instead of reading a limited number of texts, why not work
with thousands, upload them to a computer, and let software generate
analyses and results?

Linguistic Field(s): Computational Linguistics
                     Text/Corpus Linguistics

Subject Language(s): English (eng)

Registration Open until 31-May-2025

Apply by Email: qatd.school at fisppa.it

Registration Instructions:
The IQLA-GIAT Summer School is open to 20 participants including
researchers, scholars and postgraduate students.
Applicants must send a file in pdf format including:
1. curriculum vitae
2. personal mission statement and research interests (max 500 words)
Applications should be sent to the following address:
qatd.school at fisppa.it
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.

------------------------------------------------------------------------------

********************** LINGUIST List Support ***********************
Please consider donating to the Linguist List to support the student editors:

https://www.paypal.com/donate/?hosted_button_id=87C2AXTVC4PP8

LINGUIST List is supported by the following publishers:

Bloomsbury Publishing http://www.bloomsbury.com/uk/

Cambridge University Press http://www.cambridge.org/linguistics

Cascadilla Press http://www.cascadilla.com/

De Gruyter Mouton https://cloud.newsletter.degruyter.com/mouton

Edinburgh University Press http://www.edinburghuniversitypress.com

Elsevier Ltd http://www.elsevier.com/linguistics

John Benjamins http://www.benjamins.com/

Language Science Press http://langsci-press.org

Lincom GmbH https://lincom-shop.eu/

Multilingual Matters http://www.multilingual-matters.com/

Netherlands Graduate School of Linguistics / Landelijke (LOT) http://www.lotpublications.nl/

Oxford University Press http://www.oup.com/us

Wiley http://www.wiley.com

----------------------------------------------------------
LINGUIST List: Vol-36-1171
----------------------------------------------------------