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Seminars

The CSSS Seminar features local and visiting scholars presenting current research at the intersection of statistics and the social sciences.

Seminars are held on Wednesdays from 12:30–1:30 pm. Seminars are available to anyone interested and are being presented in a hybrid format.

To attend a seminar virtually, please register here.  An email with login information will be sent to you upon registration. 

Graduate students pursuing a CSSS track may receive credit by enrolling in CS&SS 590.

Questions? Contact CSSS (csss@uw.edu).

 

Mailing List Calendar

Future Seminars

Title Speaker Time
Very Long-Term Probabilistic Population Projections for Assessing the Social Cost of Carbon Adrian Raftery
Exploring the Effects of Item-Specific Factors in Tree-Based Item Response Models Weicong Lyu
Estimating Global and Country-Specific Excess Mortality by Age and Sex During the COVID-19 Pandemic Jon Wakefield
Cartoons, Captions, and Confidence Intervals Lalit Jain
Using Electronic Health Records to Document Racial and Ethnic Disparities: Strengths and Weaknesses Barbara Entwisle
Potential Impacts of Mass Nutritional Supplementation on Measles Dynamics: A Simulation Study Navideh Noori
What if I only care about L1 X-Y relations? Clustered data analytic options Elizabeth Sanders

Past Seminars

Title Speaker Date
How Many Friends Do You Have? An Empirical Investigation into Censoring-Induced Bias in Social Network Data Alan Griffith, Economics, University of Washington
How to Make Causal Inferences Using Texts Brandon Stewart, Sociology, Princeton University
Record Linkage and Population Size Estimation for Counting Human Rights Violations Mauricio Sadinle, Biostatistics, University of Washington
Using Sampled Social Network Data to Estimate Adult Death Rates Dennis Feehan, Demography, UC Berkeley
Analyzing GPS Datasets using Density Ranking Yen-Chi Chen, Statistics, University of Washington
Rapid On-ramps to Reproducible Research for R Users Ben Marwick, Archaeology, University of Washington
Bayesian Age-Period-Cohort Models in Practice Andrea Riebler, Statistics, Norwegian University of Science at Technology
Inference in Increasing Dimension Fang Han, Statistics, University of Washington
Partial Identification in Moment Equality Models with Auxiliary D Yanqin Fan, Economics, University of Washington
How Sudden Censorship Can Increase Access to Information Molly Roberts, Political Science, University of California, San Diego
A Network Model for Dynamic Textual Communications with Application to Government Email Corpora Bruce Desmarais, Political Science, Pennsylvania State University
Inference for Social Network Models from Egocentrically-Sampled Data Pavel Krivitsky, School of Mathematics and Applied Statistics, University of Wollongong
Exploratory and Confirmatory Causal Inference for High Dimensional Interventions Justin Grimmer, Political Science, Stanford University
Using a Probabilistic Model to Assist Merging of Large-scale Administrative Records Kosuke Imai, Political Science, and the Center for Statistics and Machine Learning, Princeton University
Integrating Multiple Time Scales: A Framework Emerging at the Interface of Intraindividual Variability Modeling and Ecological Momentary Assessment Nilam Ram, Human Development and Family Studies, and Psychology, Pennsylvania State University
Pairwise difference approach for partially linear model: some real gains Fang Han, Statistics, University of Washington
Central Bank Transparency and the Performance of Market Expectations Caitlin Ainsley, Political Science, University of Washington
Measuring key drivers of parental concern about child health Davene Wright, Center for Child Health, Behavior and Development, Seattle Children's Hospital
Does the Match Matter? Exploring Whether Student Teaching Experiences Affect Teacher Effectiveness Roderick Theobald, American Institutes for Research
Networks and Deviance in the Prescription Drug Abuse Epidemic Marissa King, School of Management, Yale
Graphical Models for Discrete and Continuous Data Johannes Lederer, Statistics, University of Washington
Packaging data analytical work reproducibly using R (and friends) Ben Marwick, Archaeology, University of Washington
Interlocking directorates in Irish companies using bipartite networks: a latent space approach Adrian Raftery, Statistics, Sociology, University of Washington
Standard errors for exchangeable relational arrays Tyler McCormick, Statistics, Sociology, CSSS, University of Washington
Real-time Bayesian parameter estimation for item response models - with application to Internet ratings data Ruby Chiu-Hsing Weng, Statistics, National Chengchi University
Online social interactions: a lens on humans and a world for humans Chenhao Tan, Computer Science, University of Washington
Causal Inference without Control Units Adam Glynn, Political Science, Emory University
Scalable Bayesian Models of Interacting Time Series Emily B Fox, Statistics, University of Washington
Assortative Mixing in Activity-based Online Social Networks Zack Almquist, Department of Sociology and School of Statistics, University of Minnesota
Rethinking Data Science for the Social Sciences Panel: Urban Sociology Sarah Brayne, Department of Sociology, University of Texas at Austin
Rethinking Data Science for the Social Sciences Panel: Urban Sociology Karen Seto, School of Forestry and Environmental Studies, Yale
Rethinking Data Science for the Social Sciences Panel: Urban Sociology Megan Comfort, RTI International
Neighborhood and Network Segregation Ott S. Toomet, The Information School, University of Washington
From Pixels to Points: Using Tracking Data to Measure Performance in Professional Sports Alexander Franks, Statistics
Happy Git and GitHub for the useR Jennifer Bryan, Statistics, University of British Columbia
Less is more? How demographic sample weights can improve public opinion estimates based on Twitter data Pablo Barbera, NYU Center for Data Science
PEAR: A Massively Parallel Evolutionary Computational Approach for Political Redistricting Optimization and Analysis Wendy Cho, Political Science, University of Illinois
Building The New York Times Fourth Down Bot Trey Causey, ChefSteps
A computational approach for interdisciplinary work and anticipatory policy-making: An exploration of social effect from climate change in the central Andes Jose Manuel Magallanes, eScience Institute
For Whom is the Treatment Effective? An Atheoretic Inductive Approach to Identifying Response Heterogeneity Mark C Long, Evans School of Public Policy and Governance, University of Washington
Discovering Hidden Structure in the Sparse Regime Sham Kakade, Dept of Statistics, Dept. of Computer Science and Engineerin
Long-Term Consequences of Consumption Seasonality Brian M Dillon, Evans School of Public Policy and Governance
Rethinking Data Science for the Social Sciences: Social Inequality and Health Panel: Rethinking Data
Subnational Estimates of the Global Gender Gap using Online Data Bogdan State, Sociology, Facebook
From Language to the Mind: Learning to Read Deception, Connotation and Literary Success Yejin Choi, Computer Science & Engineering, University of Washington
Geographic Variation in the Cumulative Risk of Maltreatment and Foster Care Placement Christopher Wildeman, Sociology, Cornell University
Visualization and Interactive Data Analysis Jeffrey Heer, Computer Science and Engineering, University of Washington
How Much Does Corruption Harm Economic Performance? Using One-Sided Conditional Relationships as Instrumental Variables for Causal Identification Justin Esarey, Political Science, Rice University
CSSS Course Preview CSSS Course Preview, University of Washington
Testing order-constrained hypotheses in social science research Joris Mulder, Methodology and Statistics, Tilburg University
Old and new methods for benchmarking efficiency of health facilities Abraham D. Flaxman, Global Health, University of Washington
Predicting Irregular Leadership Changes in 2015 Michael Ward, Political Science, Duke University
Measuring and Mapping Poverty and Wealth with Passively-Collected Mobile Phone Data Joshua Blumenstock, Information School, University of Washington
The Political Legacy of American Slavery Maya Sen, John F. Kennedy School of Government, Harvard University
Online Bayesian Inference for Latent Ability Models Ruby Chui-Hsing Weng, Statistics, National Chengchi University
Improving Teacher Hiring: The Effect of Inter-Rater and Intra-Rater Reliability in the Screening Process Patricia Martinkova, Statistics, University of Washington
Scalable and Streaming Inference for Complex Bayesian Models Nicholas Foti, Statistics, University of Washington
Lifelogs: high resolution space-time data using GPS, accelerometry, travel diaries, and GIS for behavioral research Phil Hurvitz, Urban Design, University of Washington
Data Visualization at the New York Times Amanda Cox, New York Times
Panel studies and Granger causality in high dimensions Ali Shojaie, Biostatistics, University of Washington
Estimating patterns of international migration using (non-representative) social media data Emilio Zagheni, Sociology, University of Washington
Marginal Screening for Gaussian Graphical Models Daniela Witten, Biostatistics and Statistics, University of Washington
Stan: A Platform for Bayesian Inference Daniel Lee, Statistics, Columbia University
Probabilistic Population Projections with Spatial Correlation Adrian Raftery, Statistics and Sociology, University of Washington
Networks on the right hand side: Relating networks to outcomes Tyler McCormick, Statistics and Sociology, University of Washington
Online Information Behaviors During Disaster Events: Roles, Routines, and Reactions Emma Spiro, Information School, University of Washington
Intrahousehold Bargaining, Female Autonomy, and Labor Supply: Theory and Evidence from India Rachel Heath, Economics, University of Washington
Exploring the Exchange of Archeological Pottery through Statistical Analyses of Geochemical Trace Elements Erik Gjesfjeld, Anthropology, University of Washington
Does Research Evidence Inform Policy Choice in Low-income Countries? Exponential Random Graph Models to Determine the Role of Evidence Exchange and Use in Policy Networks Jessica Shearer, Evans School of Public Affairs, University of Washington
Grad Program Overview CSSS
Directionally Collapsible Measures of Association Tamas Rudas, Statistics, Eötvös Loránd University
What You Don't Know Can Kill You: Estimating Tuberculosis Drug Resistance Rates in South Africa Using Routinely Collected Data Zoe McLaren, Health Management and Policy, University of Michigan
Covariate Selection and Model Averaging in Semiparametric Estimation of Treatment Effects Chris Muris, Economics, Simon Fraser University
Item Count Technique Estimators under Respondent Error John S. Ahlquist, Political Science, University of Wisconsin
Modeling Insurgent Cooperation Networks Using Exponential Random Graphs and Rhetorical Frames Steve Zech, Political Science (Zech), University of Washington
Modeling Insurgent Cooperation Networks Using Exponential Random Graphs and Rhetorical Frames Zane Kelly, UW Applied Physics Lab (Kelly), University of Washington
Reproducible Research: A Primer for the Social Sciences Ben Marwick, Anthropology, University of Washington
Measurement issues in assessing possession rates of voter identification: Evidence from recent lawsuits in Pennsylvania and Wisconsin Matt Barreto, Political Science, University of Washington
Improving Electoral Integrity Through Information and Communications Technology: Evidence from a Randomized Control Trial in Uganda James Long, Political Science, University of Washington
The network histogram, nonparametric function estimation, and graph limits Patrick J. Wolfe, Statistics, University College London
Limiting the Morbidity and Mortality Due to HIV Using GPS and Cell Phone Records Adrian Dobra, CSSS, Statistics, Nursing, University of Washington
A Direct Approach to Inference in Nonparametric and Semiparametric Quantile Models Ruixuan Liu, Economics, University of Washington
A Unified Complex: Conditionally Independent Dyadic Models for Multiple Complex Networks A.C. Thomas, Statistics, Carnegie Mellon University
Strategies for Data Analysis with Two Types of Missing Values Ofer Harel, Statistics, University of Connecticut
Latent Variable Models that Account for Atypical Responses Irini Moustaki, Statistics, London School of Economics
Bonds and Battles: How Financial Markets Responded to Battlefield Events in the American Civil War Jeffrey Arnold, Political Science, University of Rochester
Reverse Engineering Chinese Censorship Jennifer Pan, Government, Harvard University
Kernel Balancing: A Balancing Method to Equalize Multivariate Densities and Reduce Bias without a Specification Search Chad Hazlett, Political Science, Massachusetts Institute of Technology
Party Cohesion in Westminster Systems: Inducements, Replacement and Discipline in the House of Commons, 1836-1910 Arthur Spirling, Government, Harvard University
Identifiability of linear structural equation models Mathias Drton, Statistics, University of Washington
Model Based Clustering to Capture Climate Variability Matt Dunbar, Ecology, University of Washington
Model Based Clustering to Capture Climate Variability Sara Curran, Center for Studies in Demography, University of Washington
CSSS Course Overview CSSS
Dynamic Demographic Network Models of HIV Transmission among Men who have Sex with Men (MSM) in the United States and Peru Steve Goodreau, Anthropology, University of Washington
Tracing the Flow of Policy Ideas in Legislatures: A Computational Approach John Wilkerson, Political Science, University of Washington
Using Social Network Analysis to Study the Dynamics of Cultural Transmission Daniel Grunspan, Anthropology, University of Washington
Heckman Selection Models to Correct Estimates of HIV Prevalence Sam Clark, Sociology, University of Washington
Optimality and Preference in Dynamic Treatment Regimes Daniel Lizotte, Computer Science, University of Waterloo
Psychometrics and Genetics Paul Crane, General Internal Medicine, University of Washington
Statistical Models for Multiway Array Data Peter Hoff, CSSS, Statistics, Biostatistics, University of Washington

The CSSS Seminar features local and visiting scholars presenting current research at the intersection of statistics and the social sciences.

Seminars are held on Wednesdays from 12:30–1:30 pm. Seminars are available to anyone interested and are presented in a hybrid format.

To attend a seminar virtually, please register here.  An email with login information will be sent to you upon registration. 

To join in-person in Savery 409, please register here prior to attending. 

Graduate students pursuing a CSSS track may receive credit by enrolling in CS&SS 590.

Questions? Contact CSSS (csss@uw.edu).