Coronavirus Information
Until further notice, the University of Arizona, in accordance with the guidelines recommended by the Centers for Disease Control and Prevention, encourages all employees to work remotely. Our office is closed to the public, but you can reach the School of Sociology, Monday–Friday 8am-5pm: Raquel Fareio - pinar@arizona.edu
Sociology or Care, Health & Society students please contact: John McNeill - jmcneill@email.arizona.edu
Get COVID-19 updates and information for the University of Arizona community. Also, see SBS resources for continuing instruction and learning.
Kelsey Gonzalez
Graduate Student
Kelsey E. Gonzalez is a PhD student in the School of Sociology at the University of Arizona. Her research focuses on computational methods, advanced statistical methods, and networks analysis in connection to thematic interests in the social determinants of physical and mental health and illness, racial and panethnic identities, and discrimination.
Kelsey has a strong methodological background following her extensive quantitative and computational methods training at the University of Arizona. She collaborates with Corey Abramson uncovering the economic, educational and health-related outcomes of bodyweight differences, with Daniel Martinez investigating racial and ethnic identities of Latinos in the United States, and with Terrence Hill researching white fragility and health outcomes. She previously worked with Robin Stryker analyzing a nationally-representative survey on the perceptions of incivility and the media.
Kelsey received her MA in Sociology from the University of Arizona in 2018 where she investigated the impacts of personal networks and homophily on individuals’ perceptions of discrimination. Before coming to the University of Arizona, she earned her MPhil in Race, Ethnicity and Conflict from the Department of Sociology at Trinity College, Dublin in 2015.
Kelsey is a UA Data Science Ambassador and can answer questions related to social data science and help refer you many on campus resources to help improve your data science endeavours. Feel free to email me! Click here to find out more about the Data Science Ambassadorship program.