I am an economic sociologist who tries to understand how our tools for determining what is valuable, worthwhile, or good are implicated in patterns of inequality with an acute concern for racial inequality. While I had a brief detour using the NBA as a case, most of my work tackles this broad theoretical question by focusing on the scores and ratings that animate credit and financial markets. Here, my published work highlights the political biases that permeate the construction of city credit ratings (Norris 2022) as well as the ways that even without those biases city credit ratings embed racism and perpetuate racial inequality between cities through the particular inputs used to create those ratings (Norris 2021).
This latter work on racism in ratings highlighted how common approaches to identifying racial inequality in social science research fail to grasp how racism is institutionalized in an era of ratings and scores.
Davon Norris is an LSA Collegiate Fellow and incoming Assistant Professor Organizational Studies (beginning 2024) at the University of Michigan.
Davon Norris is an LSA Collegiate Fellow and incoming Assistant Professor Organizational Studies (beginning 2024) at the University of Michigan. His work engages questions related to economic sociology, valuation, race, and inequality. His research has been published in outlets such as Social Forces, Socio-Economic Review, Social Problems, and Sociological Forum, and has received awards from the Future of Privacy Forum and American Sociological Association. Davon is a 3-time Buckeye earning his B.S. in Accounting (2014) and his M.A. (2018) and Ph.D. (2022) in Sociology from THE Ohio State University.
Norris, Davon. 2021. “Embedding Racism: City Credit Ratings and the Institutionalization of Race in Markets.” Social Problems (Forthcoming). doi: https://doi.org/10.1093/socpro/spab066.
Norris, Davon. 2022. “The Illusion of Transparency: The Political Double Standard in City Credit Ratings.” Socio-Economic Review (Forthcoming). doi: https://doi.org/10.1093/ser/mwac016.