On recommending computational modeling

Steven T. Seitz, Charles Hulin

Research output: Chapter in Book/Report/Conference proceedingChapter


Computational modeling brings unique and critical contributions to behavioral and social research. Computational modeling can transform logic models into dynamic models and helps formalize complex theory construction. Computational modeling opens new vistas in data designs and data analysis. Computational models allow us to explore systems not in dynamic equilibrium, to understand the implications of different initialization conditions, to examine complex system synergies through process decomposition, and to provide policy-related tools such as counterfactual simulations.

Original languageEnglish (US)
Title of host publicationThe many faces of multi-level issues
EditorsFrancis J Yammarino, Fred Dansereau
Number of pages3
StatePublished - 2002
Externally publishedYes

Publication series

NameResearch in Multi-Level Issues
ISSN (Print)1475-9144

ASJC Scopus subject areas

  • Economics, Econometrics and Finance (miscellaneous)


Dive into the research topics of 'On recommending computational modeling'. Together they form a unique fingerprint.

Cite this