Data Science and History: Practicing and Theorizing Data-Driven Inquiries into the Past

Data Science and History: Practicing and Theorizing Data-Driven Inquiries into the Past

Veranstalter
Gabor Mihaly Toth, Caitlin Burge, Christoph Purschke, Marten Düring
PLZ
4166
Ort
Esch-sur-Alzette
Land
Luxembourg
Findet statt
In Präsenz
Vom - Bis
15.07.2023 -
Deadline
15.07.2023
Von
Marten Düring, Digital History, Luxembourg Centre for Contemporary and Digital History

In the last decade historians have witnessed a proliferation of digitized and born-digital data sets. Historical data sets encourage data-driven inquiries into the past, as well as the integration of data science methods into historical research. This collection of papers will offer a panorama of the current state of the art in the application of data science methods in historical research; it will be submitted to the Digital Humanities Quarterly (DHQ) as a special issue.

Data Science and History: Practicing and Theorizing Data-Driven Inquiries into the Past

We specifically invite contributions that analyze data sets and integrate complex models of data science into historical inquiry. We also seek contributions that discuss the development of new data sets and research softwares.

We encourage contributions between 5000 and 8000 words, though shorter papers (3000 - 5000) will also be considered.

Submission timeline

15 July 2023: submit an abstract of your paper (max. 500 words) through the following link: https://tinyurl.com/mr24cecv

15 August 2023: Notification of acceptance and submission of accepted abstracts to DHQ

10 December 2023: submit your complete paper (submission link TBA)

We aim to publish the special issue in the summer of 2024.
For further information, see the complete call: https://www.c2dh.uni.lu/news/cfp-data-science-and-history-practicing-and-theorizing-data-driven-inquiries-past

Or please contact Gabor Mihaly Toth: gabor.toth@maximilianeum.de (please use the subject header “DHQ Special Issue”)

We are looking forward to receiving your abstract and reading your contribution.

Gabor Mihaly Toth
Caitlin Burge
Christoph Purschke
Marten Düring

https://www.c2dh.uni.lu/news/cfp-data-science-and-history-practicing-and-theorizing-data-driven-inquiries-past
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Englisch
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