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Journée d'études DETECt - Detecting Transcultural Identity in European Popular Crime Narratives

Publié le 11 avril 2020 Mis à jour le 11 avril 2020
Date(s)

du 14 novembre 2019 au 15 novembre 2019

14 novembre : 9h-13h
15novembre : 9h-18h
Lieu(x)
Complesso di Santa Cristina
Piazzetta Morandi 2
Bologna
 
Journée d'études DETECt

Detecting Transcultural Identity in European Popular Crime Narratives

 
 
 
Présentation
 
On November 14 and 15, the DETECt Digital Humanities Workshop will host more than twenty scholars coming for various European institutions, including the Universities of Limoges, Paris-Nanterre, Montpellier, Nîmes, KU Leuven and Queen’s University Belfast. The participants will present current research initiatives, both within and outside the DETECt programme, that adopt digital methods such as text mining, digital mapping, data visualisation, and network analysis. The goal is to coordinate the activities of the different research groups in DETECt, selecting the best tools and approaches to study the transnational dimension of European popular culture, with a particular focus on the richness and diversity of crime narratives. Some preliminary results have been included in the ‘Atlas’ section of the project portal and will be the object of discussion and group work during the workshop

 
Programme


November 14

Session 1: Textual Mining and Data Visualisation
9.00-10.00 - Presentations of tools and projects • "Textual Mining, Press and Crime Fiction: Research Opportunities" • "Text/visual-mining: projects, tools, and techniques" • "Exploring Tableau e Leaflet tools" • "Visualizing the Translation of Crime Fiction in Europe'"

Pierre-Carl Langlais - University of Montpellier, Ilaria Bartolini, Andrea Di Luzio -UNIBO, Loïc Artiaga - UNILIM, Fred Truyen, Ana Schultze - KU Leuven, Dominique Jeannerod - QUB.

10.00-10.30 -  Coffee break

10.30-13.00 - Group work, All participants

November 15

Session 2: Data Harvesting, Data Cleansing, and Network Analysis

9.00-10.00 - Presentations of tools: • Harvesting Wikipedia and Wikimedia • Open Refine • Network Analysis with Gephi

Pierre-Carl Langlais - University of Montpellier; Hans Coppens - KU Leuven, Loïc Artiaga - UNILIM, Fred Truyen - KU Leuven

10.00-10.30 - Coffee break

10.30-13.00 - Group work, All participants

13.00-14.00 - Lunch

Session 3: Group work

14.00-18.00 Group work, All participants


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Mis à jour le 11 avril 2020