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 at the Humboldt University of Berlin on May 28-29, 2020 May 19-21, 2021.
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)
