[Crm-sig] Call for papers: Data for History 2020 - Modelling Time, Space, Agents

Thu Jan 30 18:08:31 EET 2020

Data for History - Annual conference 2020

      Modelling Time, Places, Agents

        Call for papers

The Data for Historyconsortium invites proposals for its first annual 
conference, which will be held May 28-29, 2020 at the Humboldt 
University of Berlin.

The effects of the growing integration of digital tools and methods in 
historical research make the issues of interoperability of data produced 
in different projects and domains (archives, museums, etc.), and their 
reuse in the context of open science and FAIR principles (data should be 
findable, accessible, interoperable and reusable) ever more pressing.

In fact, we are at a turning point in historical research: The change 
from a primarily analogue based to a primarily digital based working 
context requires a major reconsideration of the very foundations of our 
field. Historians have to consciously think through how this change 
affects their practices and determine the means to best form this new, 
digital working environment to facilitate the ends of historical research.

This question becomes particularly clear in the context of datafication, 
the conversion of analogue information into digital data. In this 
process, fundamental decisions are taken whose outcomes will determine 
not only the fidelity of the representation of the primary sources but 
the reusability of that data into the future. Data modelling decisions 
taken today will deeply shape and affect the kind of research that will 
or will not be feasible tomorrow. The challenge is, thus, to make 
modelling choices in such a way that the highest possible degree of data 
reusability and sustainability can be guaranteed, while respecting the 
particular source modelled as well as the specific nature of historical 
data, such as ambiguity, uncertainty, incompleteness, and change over time.

This conference will explore the process of data modelling and its 
implications for future research practices, focussing on three 
fundamental categories of historical research: time, space and agents.

In this context, time can be understood as astronomical time, as 
socially constructed or measured, but also as expressed in the form of 
temporal relations, events, durations and rhythms, synchronous or 
asynchronous, etc. The category of space may include concrete physical 
places, territories and their borders as well as spatial relations and 
arrangements but also conceptual or imaginary places and mental maps. 
The concept of agents, meanwhile, may refer to persons, but also groups 
of persons like families, officeholders or informal communities, as well 
as institutions and other entities that produce changes over time by 
taking action.

We are looking for different approaches on how to model these historical 
fundamentals. We will analyse in depth the use of more or less 
established models and standards like CIDOC CRM and EDTF, but also want 
to explore new models, ideas and methods. Moreover, it will be essential 
to include critical accounts from concrete projects, focussing on the 
possibilities and limitations of these different methods and approaches.

Overall, the conference aims to build a better insight into current 
ideas and practices in modelling time, space and agents as historical 
data and to assess the implications of these choices on the process of 
historical research and analysis.

We invite historians, computer scientists, data and information 
specialists, as well as research software engineers, designers and 
cultural heritage experts working on data modelling for historical 
sources to present their work at the conference. We welcome 
presentations regarding theoretical considerations concerning these or 
related questions, introducing methodologies or presenting case studies 
on the application of those approaches to concrete research projects and 
sharing their experiences and challenges.

The conference will be followed by the annual meeting of the Data for 
Historyconsortium (http://dataforhistory.org/), an international 
community aiming to establish a common method for modelling, curating 
and managing data in historical research.

        Submissions

Submissions may include:

  *

    *Papers*: 15-minute presentations followed by discussion (abstract
    750-1000 words)

  *

    *Posters*: Call with selection. Posters already submitted in other
    conferences (please mention it in the summary) are admitted
    (abstract 250-500 words)

All proposals should include relevant citations to sources in the 
appropriate literature. Citations are not to be included in the word count.

Submit a Proposal: https://d4h2020.sciencesconf.org/submit 
<https://d4h2020.sciencesconf.org/submission/submit>

        Bursaries

The conference organiser will offer a limited number of bursaries for 
PhD students and early-career scholars presenting at the conference.

        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 (Universiteit van Amsterdam)
  * Solenn Huitric (Université de Lyon)
  * Georg Vogeler (Universität Graz)
  * Torsten Hiltmann (Humboldt-Universität zu Berlin)

        Important dates

  * Deadline for submissions: 1st March 2020
  * Notification of acceptance: 31 March
  * Camera-ready for the summary: 1 May
  * Conference: 28/29 May

        Conference Venue

Humboldt University of Berlin
Banquet Hall
Luisenstraße 56
10115 Berlin

        Organisation

Torsten Hiltmann
Professor of Digital History
Institut für Geschichtswissenschaften
Humboldt University of Berlin
Unter den Linden 6
10099 Berlin

Francesco Beretta
Head of Digital History Research Team
LARHRA UMR CNRS 5190
14 Avenue Berthelot
69363 LYON CEDEX 07
France

        Contact

E-Mail: d4h2020 at sciencesconf.org <mailto:d4h2020 at sciencesconf.org>

----

Dr. habil. Francesco Beretta
Head of Digital History Research Team
LARHRA UMR CNRS 5190
14 Avenue Berthelot
69363 LYON CEDEX 07
France

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