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Spring 2024 Poster Showcase

CSSS 512: Time Series and Panel Data for the Social Sciences, Dr. Christopher Adolph

  • “Six Eras, Five Breaks? Time Series Analysis of MLB Data,” by Eddie Hock & Brandon Morande (Sociology).
  • “Housing and Populism in Advanced Democracies: in the Case of Netherlands,” by Tongtian Xiao (Political Science).
  • “Modelling the impact of internal conflict on routine immunization trend: a case for Ethiopia,” by Latera Tesfaye, William Garcia, and Nishali Patel (Health Metrics & Implementation Science).
  • “Replication Project: Personalization of Power and Repression in Dictatorships,” by Zhaomin Li (Political Science).
  • “Associations between European Union membership and Gross Domestic Product (GDP),” by Mine Metitiri and Paola Pedroza (Global Health & Health Metric Sciences).

CSSS 563: Statistical Demography, Dr. Adrian Raftery

  • “Bayesian implementation of Rogers–Castro model migration schedules: An alternative technique for parameter estimation,” by Skylar Shi (Statistics).
  • “Probabilistic Population Projections for WA Counties to 2050,” by Adam Visokay (Sociology).
  • “Global Estimation and Scenario-based Projections of Sex-Ratio-At-Birth Using a Bayesian Hierarchical Mixture Model,” by Iris Hu (Statistics).
  • “Bayesian model comparison for mortality forecasting,” by Jitong Jiang (Statistics).

CSSS 564: Bayesian Statistics for the Social Sciences, Dr. Carlos Cinelli

  • “Bayesian prediction model for the 2024 U.S. Presidential Election,” by Matthieu Liger (Statistics) and Jingyi Zheng (International Studies).
  • “Bayesian Analysis of Future Demand & Dispatch Policies in On-Demand Delivery,” by Emma-Wenjun Guo and Caitlin Cunningham (Business).
  • “Bayesian Time Series Models,” by Eunice Akowuah (Runstad Department of Real Estate).
  • “An Introduction to Bayesian Item Response Theory Models,” by Yale Quan (Measurement & Statistics).
  • “Bayesian Analysis of Gambling & Loot Box Expenditure,” by Rachel Goodwin (Statistics).
  • “An Introduction to Hidden Markov Models,” by Ying Gu (Business).
  • “Bayesian Structural Equation Modeling,” by Sean Zhao, Zhigang (Zach) Zhang, Zixie Zheng (Construction Management, Measurement & Statistics).
  • “Examining the Rural Mortality Penalty and Migration in the US,” by David Coomes (Epidemiology).

CSSS 566: Causal Modeling, Dr. Thomas Richardson

  • “Impact of Weather & Order Assignment in On-Demand Delivery Platforms,” by Mehrzad Kohsravi, Emma-Wenjun Guo, Enoch Kang, Caitlin Cunningham (Business).
  • “U.S. Women's Labor-Force Participation,” by Jitong Jiang, Xiaozhu Zhang, Ying Gu, & Yingzhen Zhao (Statistics).“The WASH Benefits Randomized Control Trial in Rural Bangladesh,” by Katherine Hoffman, Bojun Chen, & Xin Lu (Statistics & Biostatistics).
  • “Causal mediation effect of escorting Peer Clients on the effectiveness of a PrEP delivery intervention on PrEP initiation,” by Carlos Culquichicon, Rodal Issema, Hung-Peng Lin, & Jessica Ziemek (Epidemiology, Social Work, & Nursing).
  • “Causal impacts of various covariates on the birth weights,” by Chad Miller, Wenyu Bo, Yinjie Liu, & Ziming Lin (Statistics & Psychology).
  • “Causal Modeling of Well-being of University Students,” by He Ren, Kirara Kura, Matthieu Liger, & Fumin Li (Statistics, Measurement & Statistics).
  • “Evaluating Casual Relation between Job training programs and Income with Multiple Casual Methods,” by Jiahui Zhang, Xinyi Chen, Runjia Zou, & Juejue Wang (Statistics & Biostatistics).
  • “The Casual Effect of Income on Risky Assets Investment Participation,” by Chin-Wei Chen, Zefeng Chen, Zixia Huang, & Lu Xu (Urban Design, Engineering, Statistics, & Education Policy.
  • “Effect of Age on Mortgage Denials,” by Salome Drouard, Keith Leung, Haomin Lin, & Oliver Yun (Health Metrics, Urban Design & Planning, Communications, & Economics).

CSSS 589: Multivariate Data Analysis for the Social Sciences, Dr. Sasha Johfre

  • “Environmental Scholarship in Public Administration,” by Mark Nepf (Public Policy).
  • “An Exploratory Factor Analysis of State Equity Profiles,” by Tess Abrahamson-Richards (Social Work).
  • “Investigating Global Cuisine Availability and Preferences with Latent Class Analysis,” by Brenda (Siyue) Qui (Psychology).
  • “Multivariate Analysis of US Workforce Data,” by Adam Visokay (Sociology).
  • “Identifying Profiles of Bird Engagement: A Market Segmentation of Birders Using Latent Class Analysis,” by Lilia Fromm (Business).
  • “Mapping Educational Inequality:A Province-Level Analysis of Disparities in China,” by Iris Hu (Statistics).
  • “10-dimension structure of the CLASS Pre-K tool challenged by QRIS data: Evaluating the Validity of CLASS Pre-K at the Indicator Level,” by Yijie Wang (Learning Sciences and Human Development).
  • “Social Capital of Movers in the Milwaukee Area Renters Study: A Latent Class Analysis,” by Lizzie Tong (Public Policy).
  • “Measuring Empathy among Adults in the United States: Application of Exploratory and Confirmatory Factor Analyses,” by Jessica Jin (Nursing).
  • “Measuring Welfare Attitudes in Europe,” by Ramses Llobet (Political Science).
  • “Exploratory Factor Analysis to Understand Barriers to Organic Seed Usage Among Organic Farmers in the US,” by Masha Vernik (Environmental and Forest Sciences).
  • “Engagement with cancer-related information on social media: Latent class analysis,” by Chi-shan Tsai (Nursing).