Abramson’s research uses a combination of qualitative, quantitative, and computational methods to understand how persistent social inequalities structure the life course and are reproduced over time. His comparative ethnography on aging and inequality, The End Game: How Inequality Shapes Our Final Years, was published by Harvard University Press in 2015, and was awarded the 2016 Outstanding Publication Award by the American Sociological Association’s Section on Aging and the Life Course.
Abramson’s methodological works focus on integrating computational techniques to improve the scalability, replicability, and transparency of large multi-site ethnographic projects.
Abramson has over a decade-and-a-half of experience teaching, and developing methods of Computer Assisted Qualitative Data Analysis. He has also served as a methodological adviser for individual and team-based projects encompassing a wide range of data types, analytical approaches, and disciplines. He has worked to develop novel training programs for conducting qualitative research in social science and policy disciplines at the undergraduate, graduate, and post-graduate levels.
In recent years, his workshops have been commissioned by universities, medical centers, think tanks, professional associations, firms, and the ATLAS.ti training center. Prior to moving to Arizona, he received his Ph.D. in sociology from the University of California, Berkeley in 2012 and spent the following year as a post-doctoral fellow at the Philip R. Lee Institute for Health Policy Studies at the University of California, San Francisco.
Abramson has used ATLAS.ti in his own qualitative and mixed-methods projects including his book with Harvard University Press, NIH and PCORI funded collaborations, and methodological pieces (including those in Sociological Methodology, Ethnography, and his new edited volume with Neil Gong on comparative ethnography with Oxford University Press). Professor Abramson has also had the opportunity to serve as a methodological adviser and consultant for individual and team-based projects encompassing a wide range of data types, analytical approaches, and disciplines.
His personal web page can be found here.