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Anthropology in One Health refers to the use of anthropological concepts, methods and field-based approaches to analyse health problems at the intersections of humans, animals, plants, microbes and environments. It examines how disease, risk, care, surveillance and prevention are understood, negotiated and organised in specific social and ecological settings. Its contribution is not simply to add a “social dimension” to biological problems already defined elsewhere. It also asks how a health problem is framed in the first place, whose observations are recognised as evidence, and how different ways of describing a situation shape the interventions that become possible. In this entry, One Health is approached primarily as a collaborative field of practice rather than as a single theoretical concept, bringing together ethnography, medical anthropology, political ecology, multispecies approaches, ethnobiology and studies of Indigenous and local knowledge.

Data science methodologies are playing an increasingly important role in advancing manufacturing systems, enabling improvements in efficiency, energy usage, cost reduction, product quality, and predictive maintenance capabilities. This raises a fundamental question: to what extent can data models reshape manufacturing processes, and what limitations prevent their full-scale adoption? Recent developments show a growing integration of data models within digital twin and digital shadow architectures, facilitating real-time monitoring and decision-making. Nonetheless, the complexity of industrial processes and the scarcity of high-quality, well-structured datasets pose significant challenges, particularly in terms of model robustness, interpretability, and scalability. Importantly, the effectiveness of such models depends more on data quality and representativeness than on data quantity alone. This review presents a structured analysis of data modeling techniques for manufacturing applications, with emphasis on data generation, sampling, preprocessing, and modeling approaches across diverse operational regimes, including steady, transient, and generative processes.