RAIN Seminar - Daniel Larremore

RAIN Seminar

Title: Quantifying hierarchy and dynamics in U.S. faculty hiring and retention
Speaker: Daniel Larremore, CU Boulder
Date: February 8
Time: 12:00 PM
Location: Y2E2 101

Abstract:
Faculty hiring and retention determine the composition of the U.S. academic workforce and directly shape educational outcomes, career trajectories, the development and spread of ideas, and research priorities. But patterns in faculty hiring and retention are dynamic, reflecting societal and academic priorities, generational turnover, and long-term efforts to diversify the professoriate along gender, racial, and socioeconomic lines. In this talk, we'll analyze, at unprecedented scale and resolution, the academic employment and doctoral education of tenure-track faculty at all PhD-granting U.S. universities over the decade spanning 2011-2020. Focusing on the networks formed when departments hire each other's graduates as faculty, we'll explore the mechanisms shaping these networks as well as the processes of the academic ecosystem that are shaped by them.

Bio: 
Daniel Larremore is an assistant professor in the Department of Computer Science and the BioFrontiers Institute. His research develops statistical and inferential methods for analyzing large-scale network data, and uses those methods to solve applied problems in diverse domains, including public health and academic labor markets. In particular, his work focuses on generative models for networks, the ongoing evolution of the malaria parasite and the origins of social inequalities in academic hiring and careers. Prior to joining the CU Boulder faculty, he was an Omidyar Fellow at the Santa Fe Institute (2015-2017) and a post-doctoral fellow at the Harvard T.H. Chan School of Public Health (2012-2015). He obtained his PhD in applied mathematics from CU Boulder in 2012, and holds an undergraduate degree from Washington University in St. Louis.