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Nicholas Oesterling headshot

Nicholas Oesterling


Graham Ambrose headshot

Graham Ambrose


Jiho Kim

Jiho Kim


Computational Institutional Science (CIS) is an emerging stream of social science research performing institutional analysis with computational methods. While such scholarship is garnering increased attention, it draws on many different theories and engages disparate disciplinary backgrounds. Thus, this article provides an overview of CIS articles utilizing agent-based modeling, a computer simulation experiment method, to better understand critical theoretical lenses and topics. More specifically, this article clusters and analyzes 148 articles based on commonalities and differences empirically derived from their overlapping citations (i.e., citation cluster) and abstract content (i.e., topic cluster). Based on our analysis, we discuss the trends observed across cluster types and the overlap between them to better situate CIS inquiry.

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Research by Lerner affiliates is regularly funded by the National Institutes of Health, Robert Wood Johnson Foundation, Russell Sage Foundation and many other federal agencies and foundations. The Lerner Center also funds population health research at Syracuse University through its Faculty Fellows Program.

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Nicholas Oesterling headshot

Nicholas Oesterling


Graham Ambrose headshot

Graham Ambrose


Jiho Kim

Jiho Kim


Computational Institutional Science (CIS) is an emerging stream of social science research performing institutional analysis with computational methods. While such scholarship is garnering increased attention, it draws on many different theories and engages disparate disciplinary backgrounds. Thus, this article provides an overview of CIS articles utilizing agent-based modeling, a computer simulation experiment method, to better understand critical theoretical lenses and topics. More specifically, this article clusters and analyzes 148 articles based on commonalities and differences empirically derived from their overlapping citations (i.e., citation cluster) and abstract content (i.e., topic cluster). Based on our analysis, we discuss the trends observed across cluster types and the overlap between them to better situate CIS inquiry.

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