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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 typically held on Wednesdays from 12:30–1:30 pm. CSSS Seminars are expected to be in-person with Zoom availability during the 2021-2022 Academic Year. 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. 

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).

 

Mailing List Calendar


Future Seminars

(There are no upcoming seminars)

Past Seminars

Title Speaker Date
Statistical Machine Learning and Big-p Data Pradeep Ravikumar, Computer Science, University of Texas, Austin
Lightweight Research Data Management with SQLSharey Bill Howe, eScience Institute, University of Washington
An Introduction to the Theory of Incentives Fahad Khalil, Economics, University of Washington
Pediatric Inpatient Hospitalizations for Non-Traumatic Dental Conditions Donald L. Chi, Dentistry and Oral Health, University of Washington
Iterative Scaling for Irregular Patterns of Association Anna Klimova, Statistics, University of Washington
Bayesian Inference for Two-Phase Studies with Categorical Covariates Michelle Ross, Biostatistics, University of Washington
Predicting and Explaining Strategic Legislative Transparency Dan Pemstein, Political Science, North Dakota State University
Persuasion, Ideology, and Speech: Using automated text analysis to model opinion formation and change Nick Beauchamp, Political Science, New York University
A Dynamic Ordinal Item Response Theory Model of Political Repression and Accountability Standards Christopher J Fariss, Political Science, University of California, San Diego
Single World Intervention Graphs (SWIGs): A Unification of the Counterfactual and Graphical Approaches to Causality Thomas Richardson, CSSS, Statistics, University of Washington
Course Overview CSSS
Is the Privacy of Network Data an Oxymoron? Stephen E. Fienberg, Statistics, Carnegie Mellon University
Does Marriage Boost Men's Wages?: Identification of Treatment Effects in Fixed Effects Regression Models for Panel Data Michael Sobel, Statistics, Columbia University
Studying the link between ambient air pollution and cardiovascular diseases Joel Kaufman, Env. and Occ. Health Sciences, Epidemiology, General Internal Medicine, University of Washington
Big data meets medical care: Patient-level predictive models for large-scale medical data Tyler McCormick, Statistics and Sociology, University of Washington
Nature's false confessions: a proposal for comprehensive registration to discourage data fishing in political science Macartan Humphreys, Political Science, Columbia University
Modeling and Optimizing Word of Mouth with Markov Logic Pedro Domingos, Computer Science and Engineering, University of Washington
Cultural Phylogenetics of Religion using Thai Bronze Buddha Statues Ben Marwick, Anthropology, University of Washington
Inference for epidemics in progress: incorporating contact tracing information Gareth Roberts, Statistics, University of Warwick
Forecasting Commodity Prices with Mixed-Frequency Data: An OLS-Based Generalized ADL Approach Yu-Chin Chen, Economics, University of Washington
Estimating Lifetime or Episode-of-illness Costs under Censoring Anirban Basu, Pharmacy and Health Services, University of Washington
Fast Inference for Model-Based Clustering of Networks Using an Approximate Case-Control Likelihood Adrian E. Raftery, Statistics and Sociology, University of Washington
Measuring Threshold Performance in Behavioral Experiments Geoffrey Boynton, Psychology, University of Washington
Gaussian processes for learning about climate model parameters Murali Haran, Statistics, University of Washington
The growing importance of education as a fundamental cause of mortality in the United States Mark D. Hayward, Sociology, University of Texas
Estimating Demographic Parameters with Uncertainty from Fragmentary Data Mark Wheldon, Statistics, University of Washington
Not Available Brendan Murphy, Statistics, University College, Dublin
Diffusion weighted imaging & tractography: when is a fiber tract not a tract? Ione Fine, Psychology, University of Washington
Estimation of the Optimal Time to Start Antiretroviral Therapy in HIV Infected Patients using Dynamic Regime Marginal Structural Models James M. Robins, Biostatistics and Epidemiology, Harvard University
Bayesian Hierarchical Semiparametric Modeling of Longitudinal Post-treatment Outcomes from Open-enrollment Therapy Groups Susan Paddock, Rand Corporation
EMOD-HIV: A Stochastic Individual-Based Model of HIV Transmission for Evaluating Public Health Interventions in Southern Africa Daniel Klein, Intellectual Ventures Laboratory
EMOD-HIV: A Stochastic Individual-Based Model of HIV Transmission for Evaluating Public Health Interventions in Southern Africa Anna Bershteyn, Intellectual Ventures Laboratory
The Structure of Online Diffusion Networks Sharad Goel, Management Science & Engineering, Stanford University
Estimating age specific mortality: a new model life table system with flexible standard mortality schedule Haidong Wang, Global Health, University of Washington
Computer Coded Verbal Autopsy: interviews and machine learning for measuring cause-specific mortality Abraham Flaxman, Institute for Health Metrics and Evaluation, University of Washington
Urban Patterns and Carbon Dynamics: Emerging Hypotheses and Research Strategies Marina Alberti, Urban Design and Planning, University of Washington
Course Overview CSSS , University of Washington
From Fourier to Forensics Michael Weissman, Physics, University of Illinois
A New Method for Constructing Model Life Tables: Example Using Life Tables from the Human Mortality Database Samuel Clark, Sociology, University of Washington
Blurred Boundaries: A New Measure of Implicit Categorical Perception Mara Sedlins, Psychology, University of Washington
A New Method for Constructing Model Life Tables: Example Using Life Tables from the Human Mortality Database. Samuel Clark, Sociology, University of Washington
Congress and the Politics of Problem Solving John D. Wilkerson, Political Science, University of Washington
A Bayesian Model for Cluster Detection Jon Wakefield, Statistics and Biostatistics, University of Washington
How the built environment affects behavior: recent research in active transportation and health Anne Moudon, Urban Design and Planning, University of Washington
Selection along the pathways to adult health disparities Robert G. White, Sociology and Criminology & Law, University of Florida
Measurement error in retrospective careers: A latent Markov model Anna Manzoni, Center for Research on Inequalities and the Life Course (CIQLE), Yale University
Harnessing network science to reveal our digital footprints Jukka-Pekka Onnela, Biostatistics, Harvard University
Exploring the housing crisis with ggplot2 and plyr Hadley Wickham, Statistics, Rice University
Bayesian Inference for Mediation Effects Using Principal Stratification Michael Elliot, Biostatistics, University of Michigan
Using the List Experiment/Item Count Technique to Elicit Honest Answers to Sensitive Survey Questions Adam Glynn, Government, Harvard University
Using Network Structure to Estimate Latent Features in Hard-to-Reach Populations Tyler H. McCormick, Statistics and Sociology, University of Washington
Congress and the Politics of Problem Solving John D. Wilkerson, Political Science, University of Washington
From SATE to PATT: The Essential Role of Placebo Tests for Combining Experimental with Observational Studies Jasjeet Sekhon, Political Science, University of California, Berkeley
Testing the Family Investment Hypothesis: Theory and Evidence Seik Kim, Economics, University of Washington
Vitality-based Intrinsic and Extrinsic Mortality Processes Explain Patterns in Human Survival Ting Li, Quantitative Ecology and Resource Management (QERM), University of Washington
Describing the Dividend Process Dick Startz, Economics, University of Washington
Bayesian Inference for General Gaussian Graphical Models with Application to Multivariate Lattice Data Adrian Dobra, Statistics and Nursing, University of Washington
Can Voter ID Laws Be Administered in a Race-Neutral Manner? Evidence from the City of Boston Kevin Quinn, Law, University of California, Berkeley
Not available Thomas Richardson, Statistics, University of Washington
Course Overview CSSS , University of Washington
Confidentiality in high-dimensional data Thomas Lumley, Biostatistics, University of Washington
Tree-Ring Based Climate Reconstruction Matthew Schofield, Applied Statistics Center, Columbia University
Model selection in exploratory latent class and mixture models: What's to be preferred? Brian Flaherty, Psychology, University of Washington
Causal Inference with Interference and Transmission Betz Halloran, Biostatistics, University of Washington
Cash on delivery: an impact evaluation of India's Janani Suraksha Yojana program to increase in-facility births Emmanuela Gakidou, Global Health, University of Washington
Causal Inference and Medical Cost-Effectiveness Analysis Jasjeet Sekhon, Political Science, University of California, Berkeley
A New Understanding of the 1994 Rwandan Genocide Allan Stam, Political Science, University of Michigan
The Quantum and Tempo of Life-Cycle Events John Bongaarts, Policy Research Division, The Population Council
Addressing lack of common support in causal inference using Bayesian non-parametrics Jennifer Hill, Humanities and Social Sciences, New York University Steinhardt
Bayesian approaches to factor analysis models for cognitive outcomes with multiple nuisance dimensions S. McKay Curtis, Statistics, University of Washington
Evaluating the Impact of Environmental Policy on the Trend Behavior of U.S. Emissions of Nitrogen Oxides and Volatile Organic Compounds Eric Zivot, Economics, University of Washington
Invisible Men: Prison Growth and the Construction of Social Statistics Becky Pettit, Sociology, University of Washington
Mixture Model Component Trees as an Alternative to High-Dimensional Cognitive Diagnosis Models Rebecca Nugent, Statistics, Carnegie Mellon University
The Combination of Ecological and Individual Level Data Jon Wakefield, Statistics and Biostatistics, University of Washington
Hierarchical Modeling of Longitudinal Trade Networks Peter Hoff, Statistics and Biostatistics, University of Washington
Probabilistic Projections of HIV Prevalence Using Bayesian Melding Adrian Raftery, Statistics and Sociology, University of Washington
Respondent-Driven Sampling: Risks and Benefits Of A Novel Sampling Strategy W. Whipple Neely, Statistics, University of Washington
Discrete Exponential Family Models for Residential Settlement and Segregation Miruna Petrescu-Prahova, Statistics, University of Washington
The Determinants of Sex-Selective Abortions Claus Portner, Economics, University of Washington
Latent Pathways to Adulthood and their Associations with Alcohol, Tobacco, and Marijuana Abuse and Dependence Sabrina Oesterle, School of Social Work, University of Washington
Cohort Analysis in Social Research: What's New? Yang Yang, Sociology, University of Chicago
Propensity Score Matching to Recover Latent Experiments: Diagnostics and Asymptotics Ben Hansen, Statistics, University of Michigan
Bayesian Graphical Models for Combining Multiple Data Sources, with Applications in Environmental Epidemiology Sylvia Richardson, Biostatistics, Imperial College, United Kingdom
Getting Ahead in the Communist Party: Explaining the Advancement of Central Committee Members in China Chris Adolph, Political Science, University of Washington
Time Varying Networks: Reverse Engineering and Analyzing Rewiring Social and Genetic Interactions Eric Xing, Computer Science, Carnegie Mellon University
Handling Sparsity via the Horseshoe Carlos Calvalho, Econometrics & Statistics, The University of Chicago Booth School of Business
Estimation of Robust Demographic Time-series with Noisy Data for Developing Countries: Selected Cases Studies from Africa and Asia Patrick Gerland, Population Division, United Nations
Prior Elicitation and Variable Selection in High Dimensional Regression Models Mayetri Gupta, Biostatistics, Boston University
Logistic Regression with Distributed Databases Aleksandra Slavkovic, Statistics, Penn State University
The Accuracy of Online Surveys with Non-probability Samples of People who Volunteer to do Surveys for Money Jon A. Krosnick, Humanities and Social Sciences, Stanford University
Presentation of CSSS courses for 2009-2010 academic year CSSS
Sequential Sampling for Binary Sequences Ian Dinwoodie, Statistical Sciences, Duke University
Empirical Comparisons of Computer Models for Stellar Evolution David van Dyk, Statistics, University of California, Irvine
Estimating Sparse Network Models Bala Rajaratnam, Statistics, Stanford University
Recommender Systems for Fun and Profit Chris Volinsky, Statistics Research, AT&T Research
Recommender Systems for Fun and Profit Chris Volinsky, Statistics Research Department, At&t
Probabilistic Forecasting: Ensemble Model Output Statistics using Heteroskedastic Censored Regression Thordis Thorarinsdottir, Statistics, University of Washington
Probabilistic Forecasting: Ensemble Model Output Statistics using Heteroskedastic Censored Regression Thordis Thorarinsdottir, Statistics, University of Washington
Estimation from Network-Based Respondent-Driven Sampling Krista Gile, Statistics, University of Oxford
Analysis of the Binary Instrumental Variable Model (Part Two) Thomas Richardson, Statistics, 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 typically held on Wednesdays from 12:30–1:30 pm. CSSS Seminars are expected to be in-person with Zoom availability during the 2022-2023 Academic Year. 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. 

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).