Research Overview: My research centers on the development and application of mathematical, computational, and statistical methodology to better understand the problems and theories of social networks analysis, demography, education, homelessness, and environmental action and governance. Currently, my research program is focused on understanding, modeling, and predicting the effects that space and time have on human interaction and social processes. My research has been published in numerous peer-reviewed journals in the social sciences, statistics and computer science fields.
Teaching: My teaching efforts have mainly focused on social network analysis, big data, computational methods, research methods, statistics, demography, and urban sociology. At the University of Washington I expect to teach graduate courses in statistics while my undergraduate courses should include big data and computational methods in the social sciences.
Biography: I received my BS in Mathematics from the University of Oregon (2005), MS in Statistics from Northwestern University (2007), MAs in Demography and Sociology from the University of California, Irvine (2008; 2010), and a PhD in Sociology from the University of California, Irvine (2013). Before joining the faculty at the University of Washington (2020) I held a joint appointment as an Assistant Professor in the department of Sociology and School of Statistics at the University of Minnesota (2013-2018). Most recently, I was employed as a research scientist in Demography and Survey Science at Facebook (2018-2020).
- Thomas, Loring J., Peng Huang, Fan Yin, Xiaoshuang Iris Luo, Zack W. Almquist, John R. Hipp, and Carter T. Butts (2020). "Spatial Heterogeneity Can Lead to Substantial Local Variations in COVID-19 Timing and Severity." Proceedings of the National Academy of Sciences 117 (39) 24180–24187. DOI: 10.1073/pnas.2011656117.
- Almquist, Z. W., N. E. Helwig, and Y. You (2020). Connecting Continuum of Care Point-in-Time Homeless Counts to United States Census Areal Units. Mathematical Population Studies 27(1), 46–58.
- Almquist, Z. W. and C. T. Butts (2014). Logistic Network Regression for Scalable Analysis of Networks with Joint Edge/Vertex Dynamics. Sociological Methodology 44(1), 273–321.
- Almquist, Z. W. (2020). Large-scale Spatial Network Models: An application to modeling information diffusion through the homeless population of San Francisco. Environment and Planning B: Urban Analytics and City Science, 47(3), 523–540.
- Bagozzi, B. E., D. Berliner, and Z. W. Almquist (forthcoming). When Does Open Government Shut? Predicting Government Responses to Citizen Information Requests. Regulation & Governance.
Summer 2023 Full-term
- How many homeless people are in King County? Depends who you ask - July 4, 2022
- Social cohesion found to be key risk factor in early COVID infections - May 24, 2022
- Zack Almquist Receives Faculty Early Career Development Award - May 3, 2022
- Zack Almquist Named Editor-in-Chief of the Journal of Mathematical Sociology - January 24, 2022
- Almquist Receives ASA's 2021 Goodman Award - October 4, 2021
- Tracking Your Life: Self-tracking apps and personal data - August 24, 2021
- Zack Almquist Solving the Three-Body Problem - May 12, 2021
- Spring 2021: SOC 301 "The Quantified Self" approved for students minoring in Data Science - February 16, 2021
- Zack Almquist Receives NSF Grant for Study of Behaviors in Response to COVID-19 - April 28, 2020