Dr. Corey M. Abramson is an Assistant Professor of Sociology at the University of Arizona. His research uses both quantitative and qualitative methods to explain how social inequality is reproduced over time. "The End Game: How Inequality Shapes Our Final Years" (Harvard University Press 2015), his recent book on this topic, was awarded the 2016 Outstanding Publication Award by the American Sociological Association Section on Aging and the Life Course and featured in national media outlets including The New York Times and The Atlantic.
Engaging with longstanding theoretical and methodological issues, such as the connection between culture in action and the relationship between quantitative and qualitative approaches, is a central part of his larger intellectual project. On the theoretical front, Dr. Abramson has published work synthesizing and operationalizing formally “competing” theories that connect the symbolic and material facets of inequality to experience, practices, and outcomes in different socio-historical contexts.
Dr. Abramson subsequently elaborated these models empirically in "The End Game". Methodologically, he is currently working on methods for enabling the production of transparent large-scale multi-site ethnographic data sets. In this regard, he has worked to develop hybrid quantitative/qualitative approaches and computational tools that aim to improve analytical flexibility, rigor, transparency, and scaling in the collection, analysis, sharing, and representation of qualitative data more broadly.
Dr. Abramson and his collaborators were recently awarded a Patient-Centered Outcomes Research Award to develop and test new methodological tools, in the context of American health care.
Dr. Abramson's research examines how inequality structures everyday life in diverse contexts and how it is reproduced over time. He takes a broad re-combinatory approach to methodology and theory that draws upon a diverse array of quantitative and qualitative methods—ranging from zero-inflated negative binomial regression models of nationally representative health survey data to deep ethnographic immersion in urban communities—in addition to developing new hybrid methodologies and formal theory when necessary.
His selection of topics, methods and contexts is grounded in the belief that social scientific innovation requires the deployment, reconfiguration and testing of existing ideas and research techniques across diverse (and often seemingly discrete) domains. It is his hope that by doing so, his body of work will aid in forging analytical constructs and methodological tools that can help illuminate how and why inequality is such a powerful organizing force across so many facets of social life (and how we might address its human consequences).