My book project applies insights from organizational sociology to trace whether and how rebel movements transition into successful political parties in the aftermath of civil war.  I use a multi-method approach—combining statistical analysis on a novel dataset with process tracing in three cases: Mozambique, El Salvador, and Sierra Leone. I show that, much like corporations, organizational diversity facilitates resilience, adaptation, and transformation in rebel groups.


The book manuscript is based on my dissertation, which won the 2018 United States Institute of Peace (USIP) Peace Dissertation Prize. 


My broader substantive interests lie at the intersection of international security, civil conflict, and democratization.  I also work on developing both quantitative and qualitative research methods.


Street art in Florence, Italy graciously reminding me what I should be doing instead of photographing street art in Florence, Italy.


Zaks, Sherry. 2017. "Relationships Among Rivals (RAR): A Framework for Analyzing Contending Hypotheses in Process Tracing." Political Analysis. 25(3): 344–362. [Download Paper]

Abstract:  Methodologists and substantive scholars alike agree that one of process tracing’s foremost contributions to qualitative research is its capacity to adjudicate among competing explanations of a phenomenon. Existing approaches, however, only provide explicit guidance on dealing with mutually exclusive explanations, which are exceedingly rare in social science research. I develop a tripartite solution to this problem. The Relationships among Rivals (RAR) framework (1) introduces a typology of relationships between alternative hypotheses, (2) develops specific guidelines for identifying which relationship is present between two hypotheses, and (3) maps out the varied implications for evidence collection and inference. I then integrate the RAR framework into each of the main process-tracing approaches and demonstrate how it affects the inferential process. Finally, I illustrate the purchase of the RAR frame- work by reanalyzing a seminal example of process-tracing research: Schultz’s (2001) analysis of the Fashoda Crisis. I show that the same evidence can yield new and sometimes contradictory inferences once scholars approach compar- ative hypothesis testing with this more nuanced framework. 

Abstract: An emerging trend in research on militant groups asks how structures, dynamics, and relationships within these organizations influence key wartime and postwar outcomes. While the analytical pivot toward organizations advances the field in essential ways, scholars still lack a unified conceptual approach to organization-centric analyses of militancy. This article distills four key dimensions for analysis from organizational sociology: roles, relations, behaviors, and goals. It then reviews four new works on militant organizations and outlines their place in this emergent research trajectory. These books, we argue, underscore how situating research at the organizational level sheds new light on political outcomes such as rebel resilience, social service provision, and deployment of violence. We then highlight two related and promising organizational research agendas for future studies. 

Abstract: At first glance, rebel-to-party transformation is a relatively intuitive concept: the war ends, and former rebels begin competing in the political arena. However, when we dig only a little deeper, the phenomenon becomes a lot more intractable. Despite a burgeoning literature on the instances, causes, and implications of rebel-to-party transition, the literature has gotten ahead of itself on a crucial front: researchers examining the causes and effects of this phenomenon currently do so without explicit debate or consensus on what constitutes a successful (and failed) transformation. This article demonstrates that the lack of conceptual engagement has led to severe variation in definitions of successful transition, which in turn have created massive operational disparities in the datasets used to conduct statistical analyses of this outcome. To overcome these issues, I propose a novel, four-stage conceptualization of rebel-to-party transformation that resolves the theoretical and empirical disparities evident in the literature.

Abstract: The wealth of literature on process tracing over the last thirty years is both a blessing and a curse for the researcher who comes to the method anew. On the one hand, she finds a variety of well-explicated guidelines on how to conduct her research; on the other hand, she is faced with the burden of choosing which set of guidelines to follow. Ultimately, the major innovations in process-tracing are not always mutually compatible. The goal of this chapter is to synthesize the literature and provide scholars with a concrete evaluation of the progress, pitfalls, and remaining gaps in the method.

Zaks, Sherry. 2020 (forthcoming). "Updating Bayesian(s): A Critical Evaluation of Bayesian Process Tracing."

Political Analysis. [Available Online]

Given the increasing quantity and impressive placement of work on Bayesian process tracing, this approach has quickly become a frontier of qualitative research methods. Moreover, it has dominated the process-tracing modules at IQMR and APSA meetings for over five years, rendering its impact even greater. Proponents of qualitative Bayesianism make a series of strong claims about its contributions and scope of inferential validity. Four claims stand out: (1) it enables causal inference from iterative research, (2) the sequence in which we evaluate evidence is irrelevant to inference, (3) it enables scholars to fully engage rival explanations, and (4) it prevents ad-hoc hypothesizing and confirmation bias. Notwithstanding the stakes of these claims and breadth of traction this method has received, no one has systematically evaluated the promises, trade-offs, and limitations that accompany Bayesian process tracing. This article evaluates the extent to which the method lives up to the mission. Despite offering a useful framework for conducting iterative research, the current state of the method introduces more bias than it corrects for on numerous dimensions. The article concludes with an examination of the opportunity costs of learning Bayesian process tracing and a set of recommendations about how to push the field forward.