Search Criteria

 






Key Word Search by:









Organization Type


State or Jurisdiction


Congressional District





help

Division or Office
help

Grants to:


Date Range Start


Date Range End


  • Special Searches




    Product Type


    Media Coverage Type








 


Search Results

Grant number like: HJ-50187-14

Permalink for this Search

1
Page size:
 1 items in 1 pages
Award Number Grant ProgramAward RecipientProject TitleAward PeriodApproved Award Total
1
Page size:
 1 items in 1 pages
HJ-50187-14Digital Humanities: Digging into DataStanford UniversityGlobal Currents: Cultures of Literary Networks, 1050-19001/1/2014 - 7/31/2016$124,559.00Elaine Treharne   Stanford UniversityStanfordCA94305-2004USA2013Interdisciplinary Studies, OtherDigging into DataDigital Humanities12455901245590

A collaborative project tracing the nature of literary networks across four major cultural domains: post-classical Islamic philosophy, Chinese women's writing from the Ming-Qing Dynasties, the Anglo-Saxon Middle-Ages, and the European Enlightenment. The project team includes humanities scholars and computer scientists from Stanford University (US), McGill University (Canada), École de Technologie Supérieure (Canada), and Groningen University (The Netherlands). The Canadian partners are requesting $249,942 from the Canadian funders (along with additional infrastructure funds from the Canada Fund for Innovation) and the Dutch partner is requesting €96,586 from the Netherlands Organisation for Scientific Research.

This project undertakes the cross-cultural study of literary networks in a global context, ranging from post-classical Islamic philosophy to the European Enlightenment. Integrating new image-processing techniques with social network analysis, we examine how different cultural epochs are characterized by unique networks of intellectual exchange. Research on "world literature" has become a central area of inquiry today within the humanities, and yet so far data-driven approaches have largely been absent from the field. Our combined approach of visual language processing and network modeling allows us to study the non-western and pre-print textual heritages so far resistant to large-scale data analysis as well as develop a new model of global comparative literature that preserves a sense of the world’s cultural differences.