Data for History 2020: Modelling Time, Places, Agents

Annual conference of the Data for History consortium, an international community aiming to establish a common method for modelling, curating and managing data in historical research.

The objective of this year's conference is to gain a better understanding of current ideas and practices in modelling time, space and agents as historical data and to better comprehend their implications for the concrete historical research process.

The conference will be held May 28-29, 2020 at the Humboldt University of Berlin.

Scientific committee

  • Francesco Beretta (CNRS/Université de Lyon)
  • George Bruseker (Takin.solutions)
  • Arianna Ciula (King's College London)
  • Sebastiaan Derks (Huygens Institute for the History of the Netherlands)
  • Antske Fokkens (VU Amsterdam)
  • Charles van den Heuvel (University of Amsterdam)
  • Solenn Huitric (Université de Lyon)
  • Georg Vogeler (Universität Graz)
  • Torsten Hiltmann (Humboldt-Universität zu Berlin)

contact: d4h2020@sciencesconf.org

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