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Champion: Alessio Antonini
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Timeline:01 Jun 2018 - 31 Jan 2021

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READ-IT

Reading Europe Advanced Data Investigation Tool

READ-IT (Reading Europe Advanced Data Investigation Tool) is a 3-years (2018-2020) transnational, interdisciplinary R&D project funded by the Joint Programming Initiative for Cultural Heritage that will build a unique large-scale, user-friendly, open access, semantically-enriched investigation tool to identify and share groundbreaking evidence about 18th-21st century Cultural Heritage of reading in Europe. READ-IT consists in a robust consortium of 5 academic partners from 4 European countries (Institute of Czech Literature, Academy of Sciences, Prague; Open U. London, UK including the SME IN2; Utrecht University, Netherlands; CNRS-IRISA, Rennes and Le Mans U.-3LAM, France). The consortium is led by U. of Le Mans and the participants have international level of expertise in the different strands of research. Established stakeholders in education, cultural industries, cultural institutions, and disability advocacy groups will participate in evaluation and contribute to dissemination through joint events. 4 Associate partners from U. Mainz, U. Milano, Queen Mary U. London, U.Tours will contribute specific expertise and data.

Partners
  • STEM The Open University
  • Institute of Czech Literature
  • Utrecht University
  • Le Mans Universit√©
  • CNRS-IRISA

Publications

 

Vignale, F., Benatti, F. and Antonini, A. (2019) Reading in Europe - Challenge and Case Studies of READ-IT Project, DH2019, Utrecht, Netherland

Publications | Visit External Site for Details  

Antonini, A. and Lupi, L. (2019) Developing a meta-language in multidisciplinary research projects: the case study of READ-IT, Workshop: W14: Standing on the Shoulders of Giants: Exploring the Intersection of Philosophy and HCI at CHI 2019, Glasgow, UK

Publications | Visit External Site for Details Publications | doi 

Antonini, A., Mejia, G. and Lupi, L. (2019) All We Do is Stalking - Studying New Forms of Reading in Social Networks, HyperText 2019, Hof, Germany, ACM

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