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Abstract An increasing number of studies find that water sharing—the non-market transfer of privately held water between households—is a ubiquitous informal practice around the world and a primary way that households respond to water insecurity. Yet, a key question about household water sharing remains: is water sharing a viable path that can help advance household water security? Or should water sharing be understood as a symptom of waterinsecurity in wait for more formalized solutions? Here, we address this question by applying Sen’s entitlement framework in an integrative review of empirical scholarship on household water sharing. Our review shows that when interhousehold water sharing is governed by established and well-functioning norms it can serve as a reliable transfer entitlement that bolsters household water security. However, when water sharing occurs outside of established norms (triggered by broader entitlement failures) it is often associated with significant emotional distress that may exacerbate conditions of waterinsecurity. These findings suggest that stable, norm-based water sharing arrangements may offer a viable, adaptive solution to households facing water insecurity. Nevertheless, more scholarship is needed to better understand when and how norm-based water transfer entitlements fail, the capacity of water sharing practices to evolve into lasting normative entitlements, and the impact of interhousehold water sharing on intrahousehold water security. 

ABSTRACT Biological anthropologists have long engaged in qualitative data analysis (QDA), though such work is not always foregrounded. In this article, we discuss the role of rigorous and systematic QDA in biological anthropology and consider how it can be understood and advanced. We first establish what kinds of qualitative data and analysis are used in biological anthropology. We then review the ways QDA has been used in six subfields of biological anthropology: primatology, human biology, paleoanthropology, dental and skeletal biology, bioarchaeology, and anthropological genetics. We follow that with an overview of how to use QDA methods: three simple QDA methods (i.e., word‐based analysis, theme analysis, and coding) and three QDA approaches for model‐building and model‐testing (i.e., content analysis, semantic network analysis, and grounded theory). With this foundation in place, we discuss how QDA can support transformative research in biological anthropology—emphasizing the valuable role of QDA in inductive and community‐based research. We discuss how QDA supports transformative research using mixed‐methods research designs, participatory action research, and abolition and Black feminist research. Finally, we consider how to close a QDA project, reflecting on the logistics, ethics, and limitations of qualitative data sharing, including how researchers can use the CARE Principles (Collective Benefit, Authority to Control, Responsibility, and Ethics) to support Indigenous data sovereignty.