IQLA-GIAT Summer School in Quantitative Analysis of Textual Data

Dal 10.06.2021 al 15.07.2021

Recent developments in digital methods are not only changing how research is conducted in the humanities and social sciences, but also how new research is planned and designed.

Distant reading, digital methods, computational social sciences, and statistical learning from textual data are general terms that refer to a wide range of methods that have a common aim: retrieving information from texts using computer-aided tools. Today, text analysis is an umbrella term referring to a number of qualitative, quantitative and mixed-methods approaches. The recent evolution of information technologies and computational methods has led to several distinct but interrelated sectors with interesting industrial applications, such as media and new media monitoring, electronic dictionaries and translators, plagiarism detection and similar.

Teaching activities at the School will raise questions that can be answered thanks to quantitative methods implemented within a text analysis framework and other procedures that may be used to identify and compare text characteristics. The aim is to discuss the strengths, weaknesses, opportunities and threats of quantitative methods for text analysis with postgraduate students, early career researchers and scholars of different disciplines.

The IQLA-GIAT Summer School is open to 30 participants and is a full-time intensive course.

The 5th edition of the IQLA-GIAT Summer School willtake place via the Zoom platform from Monday 26th to Friday 30th July 2021.

Call for applications: https://apex.cca.unipd.it/pls/apex/f?p=308:2:::NO:2:P_MERCHID,P_LANG:151,USA

Deadline: July, 15th

Info: qatd.school@fisppa.it