Jonathan Atwell
Assistant Professor of Organizational Behavior at the Graduate School of Business
Academic Appointments
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Assistant Professor, Organizational Behavior
2024-25 Courses
- Negotiations Lab
OB 380 (Spr) -
Independent Studies (4)
- Doctoral Practicum in Research
OB 699 (Aut, Win, Spr, Sum) - Doctoral Practicum in Teaching
OB 698 (Aut, Win, Spr, Sum) - Individual Research
GSBGEN 390 (Aut, Win, Spr) - PhD Directed Reading
ACCT 691, FINANCE 691, MGTECON 691, MKTG 691, OB 691, OIT 691, POLECON 691 (Aut, Win, Spr, Sum)
- Doctoral Practicum in Research
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Prior Year Courses
2023-24 Courses
- Negotiations
OB 581 (Aut, Spr)
2022-23 Courses
- Negotiations
OB 581 (Spr) - Social Networks: From Graph Theory to Relational Sociology
OB 616 (Win)
2021-22 Courses
- Negotiations
OB 581 (Spr)
- Negotiations
Stanford Advisees
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Doctoral Dissertation Reader (AC)
Jiwon Byun, Seyeon Kim, Madison Singell -
Doctoral (Program)
Sobhana Atluri, Lenard Strahringer, Chloe Zhao
All Publications
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How Behavior Spreads: The Science of Complex Contagions (Book Review)
CONTEMPORARY SOCIOLOGY-A JOURNAL OF REVIEWS
2020; 49 (2): 127–31
View details for Web of Science ID 000514462700004
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The Emergence of Groups and Inequality through Co-Adaptation
PLOS ONE
2016; 11 (6): e0158144
Abstract
The emergence of groups and of inequality is often traced to pre-existing differences, exclusionary practices, or resource accumulation processes, but can the emergence of groups and their differential success simply be a feature of the behaviors of a priori equally-capable actors who have mutually adapted? Using a simple model of behavioral co-adaptation among agents whose individual actions construct a common environment, we present evidence that the formation of unequal groups is endemic to co-adaptive processes that endogenously alter the environment; agents tend to separate into two groups, one whose members stop adapting earliest (the in-group), and another comprising agents who continue to adapt (the out-group). Over a wide range of model parameters, members of the in-group are rewarded more on average than members of the out-group. The primary reason is that the in-group is able to have a more profound influence on the environment and mold it to the benefit of its members. This molding capacity proves more beneficial than the persistence of adaptivity, yet, crucially, which agents are able to form a coalition to successfully exert this control is strongly contingent on random aspects of the set of agent behaviors. In this paper, we present the model, relevant definitions, and results. We then discuss its implications for the study of complex adaptive systems generally.
View details for DOI 10.1371/journal.pone.0158144
View details for Web of Science ID 000378865200045
View details for PubMedID 27362837
View details for PubMedCentralID PMC4928893
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Agent-Based Models in Empirical Social Research
SOCIOLOGICAL METHODS & RESEARCH
2015; 44 (2): 186–221
Abstract
Agent-based modeling has become increasingly popular in recent years, but there is still no codified set of recommendations or practices for how to use these models within a program of empirical research. This article provides ideas and practical guidelines drawn from sociology, biology, computer science, epidemiology, and statistics. We first discuss the motivations for using agent-based models in both basic science and policy-oriented social research. Next, we provide an overview of methods and strategies for incorporating data on behavior and populations into agent-based models, and review techniques for validating and testing the sensitivity of agent-based models. We close with suggested directions for future research.
View details for DOI 10.1177/0049124113506405
View details for Web of Science ID 000353204200002
View details for PubMedID 25983351
View details for PubMedCentralID PMC4430112