26.3595, Summer Schools: IQLA-GIAT Summer School in Quantitative Analysis of Textual Data / Padua, Italy

Tue Aug 11 20:26:39 UTC 2015

LINGUIST List: Vol-26-3595. Tue Aug 11 2015. ISSN: 1069 - 4875.

Subject: 26.3595, Summer Schools:  IQLA-GIAT Summer School in Quantitative Analysis of Textual Data / Padua, Italy

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Date: Tue, 11 Aug 2015 16:26:11
From: George Mikros [gmikros at isll.uoa.gr]
Subject: IQLA-GIAT Summer School in Quantitative Analysis of Textual Data / Padua, Italy

 IQLA-GIAT Summer School in Quantitative Analysis of Textual Data / Padua, Italy

Host Institution:   
Coordinating Institution:   
Website: http://www.giat.org/?page_id=11&lang=en

Dates: 21-Sep-2015 - 25-Sep-2015
Location: Padua, Italy

Focus: The quantitative analysis of textual data is an object of research in many sectors of linguistics, computer sciences, mathematics and statistics and it is used as a research tool within a number of disciplines such as psychology, sociology, sociolinguistics, education, history, political studies, communication and media studies. The recent evolution of information technologies (IT) and quantitative methods has led to a number of distinct but interrelated sectors (e.g. computational linguistics, information retrieval, natural language processing, text mining, text analytics, sentiment analysis, opinion mining, etc.) with interesting industrial applications (e.g. electronic dictionaries, artificial intelligence, computer-aided translation, web reputation) and, today, text analysis is an umbrella term referring to a wide range of qualitative, quantitative and mixed-methods approaches.
Recent studies have repeatedly stressed the need for developing, adopting and sharing interdisciplinary approaches and the IQLA-GIAT Summer School is the ideal environment for developing innovative analytical tools by pooling together the research methods of both Quantitative Linguistics and Statistical Analysis of Textual Data.

The IQLA-GIAT Summer School is characterized by three main elements:
- a general part devoted to quantitative linguistics
- a special issue addressed to the problem of “measuring style” (style and computational stylistics is the main topic of 2015 edition, in the first edition of 2013 the main topic was authorship attribution)
- several lab-sessions dedicated to computer-aided analysis of textual data.
Minimum Education Level: Undergraduate

Description:

Objectives:

Teaching activities 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 the characteristics of texts. The aim is to discuss with students, young researchers and scholars of different disciplines strengths, weaknesses, opportunities and threats of quantitative methods for text analysis.

Participants selected for the IQLA-GIAT Summer School have the opportunity to exploit different tools within the same environment and the same tool in different environments.

The IQLA-GIAT Summer School aims at:

1. sharing information on software, corpora, relevant literature and research results;
2. promoting a dialogue among different disciplines on actual research issues;
3. developing innovative analytical tools and integrated research methods;
4. introducing students and young researchers to new strains of research and applications;
5. sharing state-of-the-art knowledge in:
- Corpora and textual data collection
- Quantitative linguistics
- Computational stylistics
- Content mapping and data visualization
- Computer-aided analysis of textual data

The IQLA-GIAT Summer School in Quantitative Analysis of Textual Data is organized by GIAT – Interdisciplinary Text Analysis Group (www.giat.org) in collaboration with the International Quantitative Linguistics Association (www.iqla.org) and the Department of Computational Linguistics (Computerlinguistik und Digital Humanities) of the University of Trier (www.uni-trier.de).

The IQLA-GIAT Summer School is a project funded by the University of Padua, coordinated by prof. Arjuna Tuzzi (University of Padua).

Schedule: 

The IQLA-GIAT Summer School is a full-time intensive course held:
- Monday from 10.00 am to 6.00 pm
- From Tuesday to Thursday from 9:30 am to 6:00 pm
- Friday from 9.30 am to 4.00 pm

On Friday, the last two hours will be left for the final assessment.

Location:

University of Padua
Department of Philosophy, Sociology, Education & Applied Psychology
(Dipartimento di Filosofia, Sociologia, Pedagogia e Psicologia Applicata - FISPPA)
Sociology buildings
via Cesarotti, 10/12
35123 Padova, ITALY

Classes:

All courses are in English.

Teaching activities include lectures and lab sessions, as well as tutorials illustrating software tools.

The teaching staff includes researchers and experts from different European Universities: Toulouse II (France), Trier (Germany), Athens (Greece), Neuchatel (Switzerland), Kraców (Poland), Padova and Trieste (Italy).

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

Tuition: 250 EUR

Tuition Explanation: The IQLA-GIAT Summer School will not provide financial support for participants. All participants have to provide by themselves to flight, accommodation and other expenses during the school. Indications for accommodations will be provided accordingly.

Registration: 18-Aug-2015 to 31-Aug-2015

Contact Person: Francesca Bacchin
                Email: qatd.school at fisppa.it

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. The selection of 20 participants is due to the capacity of the laboratory room.

Applicants should send a file in pdf format including:

- curriculum vitae
- personal mission statement and research interests (max 500 words)
- request for ECTS credit (if needed - 3 CFU).

Selection Criteria:

- privilege foreign applicants (Italian candidates are not excluded) and younger candidates
- encourage participation from different countries
- comply with gender equality

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