2nd International Workshop on Computational History and Data-Driven Humanities

The 2nd International Workshop on Computational History and Data-Driven Humanities will be held in Trinity College Dublin on May 25 2016.

This workshop focuses on the challenges and opportunities of data-driven humanities and seeks to bring together world-leading scientists and scholars at the forefront of this emerging field, at the interface between computer science, social science, humanities and mathematics. This workshop is an IFIP Joint Event supported by the IFIP Working Group 12.7 on Social Semantics and Collective Intelligence.

As historical knowledge becomes increasingly available in forms that computers can process, this data becomes amenable to large-scale computational analysis and interpretation. what are the impacts for humanities, social sciences, computer science and complex systems? Perhaps mathematical analysis of the dynamic, evolutionary patterns observed in the data helps us to better understand the past and can even produce empirically-grounded predictions about the future.

The keynote will be delivered by Professor Harvey Whitehouse, University of Oxford, on Understanding Social Complexity through Data. Professor Whitehouse is Chair of Social Anthropology, Director of the Institute of Cognitive and Evolutionary Anthropology, and a Professorial Fellow of Magdalen College at the University of Oxford. He is one of the founders of the cognitive science of religion field. He is especially well known for his theory of “modes of religiosity”, which proposes that the frequency and emotionality of rituals determines the scale and structure of religious organizations.

Topics of interest include, but are not limited to:

  • ontologies and linked data vocabularies for historical data
  • data curation for research in the humanities and social sciences
  • data visualisation for the humanities and social sciences
  • constructing big data for research in the humanities
  • text- and data-mining of historical and archival material
  • data-driven transdisciplinary research
  • data-driven historical macrosociology
  • data-driven cultural and social evolution
  • data-driven economic history/cliometrics
  • mathematical modeling of long-term social processes
  • construction and analysis of historical datasets

Further information, including submission details, about the 2nd International Workshop on Computational History and Data-Driven Humanities here.

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