Our study uses agent-based modeling and simulation experiments to investigate how social psychological mechanisms and social network structures generate different patterns of collective behaviors such as cultural change, diversity, and polarization.

RT @CSSSA_org: 🔈2025 CSSSA Registration is Now Open!

2025 Computational Social Science Keynote Speaker 🔈.

2025 Computational Social Science Keynote Speaker 🔈.

RT @SPSPnews: The landmark Handbook of Social Psychology's sixth edition is now available - and open access for the first time! It features….

2025 Computational Social Science Society of the Americas (CSSSA) annual conference will be held in Santa Fe, NM Nov 6-9. Submit your work that applies computational approaches to social scientific problems! Paper/Poster Submission Deadline is June 30, 2025!.

By integrating ABM into psychology, researchers can better understand collective behavior, nonlinear dynamics, and the interplay between individuals and their environments, ultimately enhancing the field’s ability to address pressing societal challenges.

and introduces a new research approach—the minimal society paradigm—and a modeling strategy, principle-oriented modeling. This framework integrates ABM into psychological research, supporting both theory building through minimal societies and adaptation to specific contexts.

The paper compares micro-mechanism-driven and macro-pattern-driven ABM paradigms.

Those benefits accrue from a resonance between how they approach questions and the questions they ask. For example, both social psychology and ABM rely on experiments to explore how individual interactions generate collective phenomena.

This paper describes seven potential benefits of incorporating agent-based modeling (ABM) as a core research methodology for psychological research on social phenomena.

Our paper has been published online first in American Psychologist: .Jung, J., Miller, J. H., & Page, S. E. (2025). Agent-based modeling for psychological research on social phenomena. American Psychologist. Advance online publication.

Excited to bring these two researchers to our @CSSSA_org webinar! 👇.

This will be great! Axtell and Farmer published a giant ABM paper this month, and we will discuss it in the April Webinar. Here is their paper: and you can register 👇.

Our finding also explains Chua et al.’s (2019) seemingly contrary evidence that across 31 provinces in China, provinces with tight cultures exhibit higher rates of incremental innovation. Also, high cross-domain consistency prevents the emergence of radically innovative domains.

This study explains the conflicting evidences on the relation between cultural tightness and/or looseness and innovation. Our finding explains how cultural looseness is generally associated with innovation in cross-cultural data (Deckert and Shomaker, 2022; Jackson et al., 2019).

This implies that organizations with a tight culture might need to go further and increase cross-domain consistency – in other words, further tighten across domains – to ensure faster adaptation in the face of market shifts.

Intriguingly, our simulation experiment also revealed that a decrease in tolerance from 0.6 to 0 necessitates an increase in the level of consistency (from 0.05 to 1) to optimize the adaptation speed.

Our systematic simulation experiment identified the sweet spot of tolerance and consistency that produced robustly faster adaptation speed in response to abrupt market shifts—a medium level of tolerance (t = 0.6) and a small consistency (κ = 0.05).

The model includes components such as tolerance, cognitive diversity and network structure and examines the organization’s ability to adapt to changing market conditions and foster innovation.

We adapted the indirect minority influence model (Jung et al., 2018; 2021) to organizational collaboration contexts.