Computational History: Challenges and Opportunities of Formal Approaches

Jurgen Jost; Roberto Lalli; Manfred D. Laubichler; Eckehard Olbrich; Jurgen Renn; Guillermo Restrepo; Peter F. Stadler; Dirk Wintergrun

doi:10.23919/JSC.2023.0017

Computational History: Challenges and Opportunities of Formal Approaches

Jurgen Jost, Roberto Lalli, Manfred D. Laubichler, Eckehard Olbrich, Jurgen Renn, Guillermo Restrepo, Peter F. Stadler, Dirk Wintergrun

Life Sciences, School of (SOLS)

Research output: Contribution to journal › Article › peer-review

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.

Original language	English (US)
Pages (from-to)	232-242
Number of pages	11
Journal	Journal of Social Computing
Volume	4
Issue number	3
DOIs	https://doi.org/10.23919/JSC.2023.0017
State	Published - Sep 1 2023

Keywords

big data
computational history
history of science
network analysis

ASJC Scopus subject areas

Information Systems
Communication
Computer Science Applications
Computer Networks and Communications

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10.23919/JSC.2023.0017

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AU - Renn, Jurgen

AU - Restrepo, Guillermo

AU - Stadler, Peter F.

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Computational History: Challenges and Opportunities of Formal Approaches

Abstract

Keywords

ASJC Scopus subject areas

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