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Past Seminars

Title Speaker Date
Correcting for misclassification bias in cause-specific mortality estimates Abhi Datta, Johns Hopkins
How to think clearly about the central limit theorem Oscar Olvera Astivia
Inference on Winners Isaiah Andrews, Harvard
How Biased are Observational Methods in Practice? Accumulating Evidence Using Randomised Controlled Trials with Imperfect Compliance Gharad Bryan, LSE
CSSS Graduating PhD Student Highlights
Effect of an opt-out point-of-care HIV-1 nucleic acid testing intervention to detect acute and prevalent HIV infection in symptomatic adult outpatients and reduce HIV transmission in Kenya: The Tambua Mapema Plus Study Susan Graham
Regulating Ethics: The Status and Stakes of Institutional Ethical Review for the Social Sciences Rebecca Tapscott
Bayesian methods for inferring the history of languages [Virtual] Robin Ryder
When opportunity meets ability: The moderating effects of prolific inventors on novel drug innovation following product development failure in biotechnology [Hybrid] Amrita Lahiri
Opportunities in Everyday Technology Research for Children with Autism [Virtual Only] Frederick Shic
15 surgeons and 2 engineers: Adventures in "big" data and causal analyses to advance mobility for children with cerebral palsy [Hybrid] Kat Steele
"I will just have to keep driving": A Mixed-methods Investigation of Thai Motorcycle Rideshare Driver Responses to Poor Air Quality [Hybrid] Kurtis Heimerl
Disentangling confounding and nonsense associations due to dependence [Hybrid] Betsy Ogburn
Lessons being learned from an open-source causal AI suite [Hybrid] Emre Kiciman
Toss the bathwater, keep the baby: how p-values can still be useful Chloe Krakauer
Data analysis tools for statistical non-experts [Hybrid] Eunice Jun
Transforming Experimental Neural Functioning Variables into FDA Validated Biomarkers [Hybrid] Sara Jane Webb
Modeling Spatially Correlated Survival Data and their Applications [Hybrid] Prince Allotey, Statistics, University of Washington
Recasting the Debate on SARS-CoV-2 Origins in Bayesian Terms [Virtual Only] Tasha Fairfield, International Development, The London School of Economics and Political Science
The Benefits and Challenges of Large-Scale Studies that Rely on Mobile Technology: Lessons learned over 15 years [Virtual Only] Pat Areán, Psychiatry & Behavioral Sciences, University of Washington
Leading or following?: (non)correspondence between media and user frame networks on YouTube channels of right-wing news organizations [Hybrid] Yuan Hsiao, Communication, University of Washington
Generalized difference-in-differences models: Robust Bounds [Hybrid] Désiré Kédagni, Economics, University of North Carolina - Chapel Hill
Randomized Regulation: The impact of minimum quality standards on health markets [Hybrid] Jishnu Das, McCourt School of Public Policy and the Walsh School of Foreign Service, Georgetown University
CSSS End-of-Year Ceremony and 2022-2023 Course Overview (Virtual Only)
Gendered Language Owen Ozier , Economics, Williams College
Quantifying Racial Bias in Policing with Imperfect Data Dean Knox, Statistics and Data Science, University of Pennsylvania
Two High-Profile Examples of Selection Bias (This Seminar is Virtual-Only) Qingyuan Zhao, Department of Pure Mathematics and Mathematical Statistics, University of Cambridge
Using Multitask Gaussian Processes to Estimate the Effect of a Targeted Effort to Remove Firearms Avi Feller, Public Policy and Statistics, University of California - Berkeley
The Effect of Income on Educational Outcomes: The Nonlinear and Heterogeneous Effects of a Continuous Treatment Ian Lundberg, Sociology, UCLA
Geometric Inference Via Graph Laplacians Dena Asta, Statistics, Ohio State University
Health Certification in Sex Markets: A Field Experiment in Dakar, Senegal Shanthi Manian, Economics, Washington State University
Non-Random Exposure to Exogenous Shocks Peter Hull, Economics, Brown University
Study Designs to Estimate Policy Effects: Applications to COVID-19 and Opioid Policies Elizabeth Stuart, Statistics, Johns Hopkins
Bridging Matching, Regression, and Weighting as Mathematical Programs for Causal Inference José R. Zubizarreta, Statistics, Harvard
Assessing Differences in Legislators’ Revealed Preferences: Testing Sharp Hypotheses in Latent Spaces Abel Rodriguez, Statistics, UW
Leaders' Role in Technology Adoption: Evidence from Mobile Banking in Ghana Emma Riley, Economics, UW
Total Causal Effects in MPDAGs: Identification and Minimal Enumeration Ema Perkovic, Statistics, UW
Racial Disparities in Mortality During the 1918 Influenza Pandemic in United States Cities Elizabeth Wrigley-Field, Sociology, University of Minnesota
Identifying the Latent Space Geometry of Network Models Through Analysis of Curvature Tyler McCormick , Center for Statistics and the Social Sciences, UW
Uncovering College Effect Heterogeneity Jennie Brand, Sociology, UCLA
Uniform Inference on Conditional Treatment Effects in Difference-in-Differences Designs Pedro Sant'Anna, Office of the Chief Economist, Microsoft
Black-White Disparities in National Institutes of Health Grant Review Scores Carole Lee, Philosophy, UW
No seminar First week of quarter
The Impact of U.S.-China Tensions on U.S. Science Molly Roberts, Political Science, UC San Diego
How parochial are we really? Matching methods to questions to better characterize human sociality Anne Pisor, Anthropology, Washington State University
No Seminar Day before Thanksgiving
Gender, Violence, and Triage: Complainant Identity and Criminal Justice in India Nirvikar Jassal, King Center on Global Development, Stanford
Technology and the State: Building Tax Capacity via Text Isabelle Cohen, Evans School, University of Washington
A cautionary note on the use of the third-order polynomial method in simulation studies Oscar Olvera Astivia, College of Education, University of Washington
Transparent and Robust Causal Inference in the Social and Health Sciences Carlos Cinelli, Statistics, University of Washington
Artificial Intelligence for Social Good: When Machines Learn Human-like Biases from Data Aylin Caliskan, Information School, University of Washington
You Said, They Said: A Framework on Informant Accuracy with Application to Studying Self-Reports and Peer-Reports of Adolescent Smoking Weihua An, Sociology, Emory University
Generic Machine Learning Inference on Heterogenous Treatment Effects in Randomized Experiments Victor Chernozhukov, Economics, MIT
No seminar First day of quarter
CSSS End-of-Year Ceremony and 2021-2022 Course Overview
Uncovering dehumanization with computational linguistics: a case study of LGBTQ representation in the New York Times Julia Mendelsohn (she/her), School of Information, University of Michigan
Policy Voting in Elections: Field Experimental Evidence from 12.8 Million Voters in 82 Congressional Districts Josh Kalla (Pronouns: He/Him/His), Political Science and Data Science, Assistant Professor, Yale University
Qualified Quantification & the Human Remains Trade: Computational Methods to See the People Behind the Price Tags Dr. Damien Huffer (pronouns: he/him/his), History, Carleton University, Ottowa, ON, Canada
Pattern graphs: a graphical approach to nonmonotone missing data Yen-Chi Chen, Assistant Professor, Statistics, University of Washington
No Seminar
CSSS End-of-Year Ceremony and 2020-2021 Course Preview
Assessing Attitude Strength Using the Audio from Open-Ended Questions From Telephone, In-Person, and Online Surveys Bryce J. Dietrich, Assistant Professor of Social Science Informatics, Social Science Informatics, University of Iowa
Revealing the concealed gender gap in the economic value of higher education; USA 1980-2017 Hadas Mandel, Head and Professor of the Department of Anthropology and Sociology; Assaf Rotman, Post-doctoral Researcher, Anthropology and Sociology, Tel Aviv University
Empirical Bayes for A/B testing and meta-analysis: a spectral approach Richard Guo, PhD candidate, Statistics, University of Washington
Technical and statistical issues in wastewater-based drug epidemiology Jason R Williams, Research Scientist, Alcohol & Drug Abuse Institute, University of Washington
When the Rivers Run Backwards: Field studies and statistical analyses of an indigenous social movement in northern Coclé province, Republic of Panama, in the face of a planned Panama Canal expansion Nina Müller-Schwarze, Temporary Part-Time Lecturer (UW) and Senior Research Fellow (Southern Food and Beverage Museum), University of Washington; Precarity; Southern Food and Beverage Museum, New Orleans
Instead of Just Teaching Data Science, Let’s Understand How and Why People Do It Rebecca Nugent, Stephen E. and Joyce Fienberg Professor of Statistics & Data Science, Statistics & Data Science, Carnegie Mellon University
Introduction to the Spring 2020 CSSS Seminar Series William Brown, Temporary Full-time Lecturer, Statistics and the Center for Statistics and the Social Sciences, University of Washington
Hindered Growth Moshe Elitzur, University of California, Berkeley and University of Kentucky
Informed Outbreak Response: Adaptive Strategies to Account for Behavior and Context in Containing Ebola Laura Skrip, Postdoctoral Research Scientist, Institute for Disease Modeling
Turning Polity Upside Down Michael D. Ward, Political Science, Duke University and the University of Washington, Predictive Heuristics; Duke University; University of Washington
Laboratories of Democratic Backsliding: Measuring and Testing Democratic Performance in the U.S. States Jacob M. Grumbach, Political Science, University of Washington
Identifying Signatures of Selection in Archaeological Sequences Ben Marwick, Anthropology, University of Washington
Not all that wiggle are LOESS: Archaeological detection of multimillennial population dynamics using proportionate juvenility indexes and radial basis function logistic regression William Brown, Statistics, University of Washington
Modeling Missing Data in Large-Scale Educational Assessments Chun Wang, College of Education, University of Washington
Rewriting Violence: Risk Effects and the Targeting of Journalists in Mexico's Criminal Conflict Cassy Dorff, Political Science and Data Science, Vanderbilt University
Three principles of data science: predictability, computability, and stability (PCS) Bin Yu, Departments of Statistics and EECS, University of California, Berkeley
Gotta' Have Money to Make Money? Theory and Evidence Linking Financial Need with The Bargaining Behavior of Microentrepreneurs Morgan Hardy, Economics, NYU Abu Dhabi
Bayesian Framework for Finding Relevant Macro Factors in Affine Term Structure Models Kyu Ho Kang, Economics, Korea University
CSSS/STAT Poster Session Darryl Holman, Center for Statistics and the Social Sciences
Finite mixture of regression modeling for exchange market pressures during the financial crisis: A robust Bayesian approach to variable selection Yi-Chi Chen, Department of Economics, National Cheng Kung University, Tainan, Taiwan
Continuous-time MCMC Paul Fearnhead, Statistics, Lancaster University
Bayesian finite mixture models in archaeological temporal frequency analysis (TFA) William Brown, Anthropology and CSSS, University of Washington
Correlated Random Effects as a Tool for Inferential Social Science Jeremy Koster, Anthropology, University of Cincinnati
We're Not Surprised You Didn't Notice That: Linguistic Surprisal and Misperception in Conversation Courtney Mansfield, Linguistics, University of Washington
Relative Risk and Risk Difference Regression as Alternatives to Logistic Regression Thomas Richardson, Statistics, Economics, Electrical Engineering, University of Washington
What Counts as Terrorism? An Examination of Terrorist Designations among U.S. Mass Shootings Emily Gade, eScience Institute and Department of Political Science, University of Washington
Mathematics of Gerrymandering Christopher Hoffman, Department of Mathematics, University of Washington
Data Analytics on Small and/or Large High-Dimensional Observations in Finance and Beyond - The Credit Research Initiative at the National University of Singapore Jinchuan Duan, NUS Business School, National University of Singapore
Is the Place of Residence Predictive of HIV Acquisition in Rural South Africa? Results from an Ongoing Population-based Cohort in KwaZulu-Natal Adrian Dobra, Statistics, Nursing, CSSS, University of Washington
Assessing Mortality Bias from Skeletal Markers Darryl Holman, Anthropology and CSSS, University of Washington
Bayesian and Heuristic Models of Human Causal Inference Colin Beam, Ursa Health
On the Top of World: Human Adaptation to High Altitude Abigail Bigham, Anthropology, University of Michigan
Pricing and Matching in Ride-Hailing Dawn Woodard, Uber
Risk assessment in Criminal Sentencing: Target Variable Bias and Disparate Impact Alexandra Chouldechova, Statistics and Public Policy, Carnegie Mellon University
Sleep-more in Seattle: Using circadian data to investigate sleep, academics, and behavior Gideon Dunster, Biology, University of Washington
The Generalizability of Heterogeneous Treatment Effect Estimates Across Samples Thomas Leeper, Political Science, London School of Economics
Distributed Multi-Level Matrix Completion for Medical Databases Julie Josse, Applied Math Department (CMAP), Professor of Statistics
Person-generated Data in Public Health and Beyond Rumi Chanara, New York University
Gender-Based Homophily in Scientific Collaborations Elena Erosheva, Statistics and Social Work, University of Washington