
Contact Information
Biography
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, AI/data science, computational social science, research methods, statistics, demography, and urban sociology. At the University of Washington I teach graduate courses in AI/data science and society, data science methods, statistics and topical courses on homelessness.
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).
Awards and Honors
Research
Selected Research
- Almquist, Z. W., I. Kahveci, A. Hazel, O. Kajfasz, J. Rothfolk, C. Guilmette, M. Anderson, L. Ozeryansky, and A. Hagopian (2024). Innovating a Community-driven Enumeration and Needs Assessment of People Experiencing Homelessness: A Network Sampling Approach for the HUD-Mandated Point-in-Time Count. American Journal of Epidemiology.
- Almquist, Zack W., Courtney Allen, and Ihsan Kahveci. "Book Chapter in Computational Demography and Health." arXiv preprint arXiv:2309.13056 (2023).
- 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. (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.
- 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.
- Bagozzi, B. E., D. Berliner, and Z. W. Almquist (forthcoming). When Does Open Government Shut? Predicting Government Responses to Citizen Information Requests. Regulation & Governance.
Courses Taught
Winter 2024
Autumn 2023
Summer 2023
Spring 2023
Winter 2023
Spring 2022