I’m a data scientist at Twitter! My research interests lie within computational social science. In prior work, I’ve measured the structural factors that drive a lack of diversity in science and highlighted their consequences. Broadly I’m interested in applying methods from causal inference and network science, joining surveys with big data, and studying fairness and social inequality by building systems. You can read about some other projects I have worked on here. Please reach out if you’d like to collaborate!
I earned my PhD in Computer Science at University of Colorado, Boulder, where I was a member of Aaron Clauset’s group. My research has been published in EPJ Data Science, PNAS, and Science Advances, and covered by outlets such as the Washington Post, Scientific American, and Forbes. I was fortunate to be supported throughout graduate school by the NSF GRFP. Prior to graduate school, I studied physics at Reed College. When I’m not at work, I like riding my bike and trying new recipes. My preferred pronouns are she/her.
SEPT 2021 • Was invited to give a talk about my dissertation work at the “Responsible Data Science and AI” speaker series at University of Illinois (virtually). Presented these two papers. Slides can be found here.
JUNE 2021 • Accepted an offer as a Data Scientist at Twitter. Our paper was selected as paper of the year by the International Society for Scientometrics and Informetrics (ISSI). Taking a little break from work
APR / MAY 2021 • I earned the Computer Science Department’s Outstanding Research Award! Gave a presentation about social class and epistemic inequalities in academia to faculty at University of Aberdeen (slides).
MAR 2021 • Busy month! I successfully defended my dissertation, and am looking for data science or research opportunities in industry or as a postdoc. We posted this preprint on Twitter, and received an overwhelming response! It’s been covered by Science Magazine, Forbes, and Chronicle of Higher Education.
JAN 2021 • I’m speaking to the Women In Network Science Seminar in a couple of weeks about my research on parenthood in academia.
APR 2020 • I’m really proud to be a part of this massive collaboration just out in PNAS! Also, I passed my dissertation proposal to become a PhD candidate. I’ll be presenting our work on the impact of parenthood on tenure-track faculty this summer at IC2S2.
Socioeconomic Roots of Academic Faculty (In Preparation)
Allison C. Morgan, Nick LaBerge, Daniel B. Larremore, Mirta Galesic, and Aaron Clauset
The Unequal Impact of Parenthood in Academia
Allison C. Morgan, Samuel F. Way, Michael J. D. Hoefer, Daniel B. Larremore, Mirta Galesic, and Aaron Clauset. Science Advances, 7 (9) eabd1996, 2021.
Measuring the Predictability of Life Outcomes with a Scientific Mass Collaboration
Matthew J. Salganik, Ian Lundberg, Alexander T. Kindel [et al. including Allison C. Morgan]. PNAS, 117 (15) 2020.
Productivity, Prominence, and the Effects of Academic Environment
Samuel F. Way, Allison C. Morgan, Daniel B. Larremore, and Aaron Clauset. PNAS, 116 (17) 2019.
Prestige Drives Epistemic Inequality in the Diffusion of Scientific Ideas
Allison C. Morgan, Dimitrios Economou, Samuel F. Way, and Aaron Clauset. EPJ Data Science 7, 40, 2018.
Automatically Assembling a Full Census of an Academic Field
Allison C. Morgan, Samuel F. Way, and Aaron Clauset. PLOS ONE, 13 (8) e0202223, 2018.
The Misleading Narrative of the Canonical Faculty Productivity Trajectory
Samuel F. Way, Allison C. Morgan, Aaron Clauset, and Daniel B. Larremore. PNAS, 114 (44) E9216-E9223, 2017.