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  Computational History: Challenges and Opportunities of Formal Approaches

Jost, J., Lalli, R., Laubichler, M. D., Olbrich, E., Renn, J., Restrepo, G., et al. (2023). Computational History: Challenges and Opportunities of Formal Approaches. Journal of Social Computing, 4(3), 232-242. doi:10.23919/JSC.2023.0017.

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Computational_History_Challenges_and_Opportunities_of_Formal_Approaches.pdf (Publisher version), 25MB
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Computational_History_Challenges_and_Opportunities_of_Formal_Approaches.pdf
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 Creators:
Jost, Jürgen1, Author
Lalli, Roberto2, Author                 
Laubichler, Manfred Dietrich2, Author           
Olbrich, Eckehard1, Author
Renn, Jürgen2, Author                 
Restrepo, Guillermo1, Author
Stadler, Peter1, Author
Wintergrün, Dirk2, Author           
Affiliations:
1Max Planck Institute for Mathematics in the Science, ou_persistent22              
2Department Structural Changes in Systems of Knowledge, Max Planck Institute for the History of Science, Max Planck Society, ou_2266695              

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Free keywords: computational history; history of science; network analysis; big data
 MPIWG_PROJECTS: Digital and Computational History of Science
 Abstract: We propose a program for a computational analysis, based on large scale datasets, of deep
conceptual and formal structures, representing the mechanisms of historical transformations in different domains ranging from biological to social, cultural, and knowledge systems. We conceptualize such systems as consisting of complex multi-layer networks. Structural properties of such networks may explain the
spreading of innovations. Temporal relations between the dynamics of interacting networks may help to identify causalities. Complex systems may show path and context dependencies. We illustrate our approach by case studies from all those types of systems.

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Language(s): eng - English
 Dates: 2023-09
 Publication Status: Published online
 Pages: 11
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: DOI: 10.23919/JSC.2023.0017
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Title: Journal of Social Computing
Source Genre: Journal
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Pages: - Volume / Issue: 4 (3) Sequence Number: - Start / End Page: 232 - 242 Identifier: ISSN: 2688-5255