Autumn 2024 Poster Showcase

CSSS 536: Analysis of Categorical and Count Data

• “Shake It Off? Understanding the Socio-Cognitive Determinants of Earthquake Preparedness on the US West Coast through a Place-Based Perspective,” by John Downes (Evans School of Public Policy and Governance).
• “Examining Unmet Need for Mental Health Care Among Undocumented Latina Immigrant Women in King County, WA,” by Juan Gudino (Public Health).
• “Outdoor recreation type and knowledge in local urban wetland conditions on the willingness to pay for wetland conservation of wetland community households in Manila Bay, Philippines,” by Aaron Lecciones (Urban Design and Planning).
• “Human Service Sector Responses to Minimum Wage Increases: Evidence from Seattle's Minimum Wage Ordinance,” by Geraldine Germain, Jennifer Romich, Hanna Cho (Social Work).

CSSS 594 - Special Topics: Artificial Intelligence and Machine Learning and Their Applications in the Social Sciences

• “Using Rashomon Sets for Robust Active Learning,” by Simon Dovan Nguyen (Statistics)
• “Exploring the Relationship Between EV Charging Infrastructure Utilization, Socioeconomic Factors, and Land Use Patterns in the Bay Area,” by Mohammad Mehdi Oshanreh, Zeyu Wang (Civil and Environmental Engineering, Urban Planning and Design).
• “Mapping Food Insecurity in the US: A Hybrid Modeling Approach,” by Jingjing (Tina) Tao (School of Environmental and Forest Sciences).
• “Not friends anymore? Exploring the factors that predict the persistence of friendship,” by Man-Lin Chen (Sociology).
• “External Dynamics or Internal Characterstics? What factors affect insurgent groups' engagement in Human Trafficking?” by Ji Hyeon Chung (Political Science).
• “Gold Standard for Topic Modeling: a Comparison across Topic Models,” by Yehong Deng, Xianxiang Zhao (Sociology and Built Environment).
• “Beyond the Paycheck: Ethnicity’s Role in CEO Compensation,” by Joy Youn Soo Kim (Business).
• “Sentiment Analysis at Scale: Tracking Russian Elite Trajectories through Text,” by Zach Brown (Sociology).
• “Forecasting Approval: Machine Learning Models for Optimizing Community Solar Project Outcomes,” by Elizabeth Echavarria (Political Science).
• “Teaching Through the Looking Glass: Predicting the Quality of Early Learning Classrooms with Teacher Reflection Data in Washington State,” by Yijie Wang (Education).