# Presentation Archive Sort & Filters close ## Filters Year of Publication expand\_more 2025 (3) 2024 (27) 2023 (25) 2022 (23) 2021 (23) 2020 (14) 2019 (29) 2018 (26) 2017 (25) 2016 (25) 2015 (25) 2014 (26) 2013 (26) 2012 (25) 2011 (10) 2010 (21) 2009 (11) Search Within Results Search Within Results search ## 364 results Show filters filter\_alt Sort by Year of PublicationAlphabetical A-Z sort ## 364 results Download 364 citations download- [BibTeX](/node/1336461/export?format=bibtex) - [EndNote X3 XML](/node/1336461/export?format=endnote8) - [EndNote 7 XML](/node/1336461/export?format=endnote7) - [Endnote tagged](/node/1336461/export?format=tagged) - [Marc](/node/1336461/export?format=marc) - [PubMedId](/node/1336461/export?format=pubmed_id) - [RIS](/node/1336461/export?format=ris) ### 2025 [Julio S. Solís Arce presents "Ethnographic Perspectives: A Large-Scale Cross-Cultural Dataset".](/presentations/julio-s-sol%C3%ADs-arce-presents-ethnographic-perspectives) 2025. [Julio S. Solís Arce presents "Ethnographic Perspectives: A Large-Scale Cross-Cultural Dataset".](/presentations/julio-s-sol%C3%ADs-arce-presents-ethnographic-perspectives) 2025. - add\_circle\_outline do\_not\_disturb\_on Abstract Abstract: The study of culture in social science research increasingly relies on large-scale data, yet existing resources remain constrained by limited source diversity and a lack of detailed information on human societies. In this project, we are... [Kentaro Nakamura presents "Causal Representation Learning with Generative Artificial Intelligence: Application to Texts as Treatments".](/presentations/kentaro-nakamura-presents-causal-representation) 2025. [Kentaro Nakamura presents "Causal Representation Learning with Generative Artificial Intelligence: Application to Texts as Treatments".](/presentations/kentaro-nakamura-presents-causal-representation) 2025. - add\_circle\_outline do\_not\_disturb\_on Abstract **Abstract:** In this paper, we demonstrate how to enhance the validity of causal inference with unstructured high-dimensional treatments like texts, by leveraging the power of generative Artificial Intelligence. Specifically, we propose to use a deep... [Jon Krosnick presents "Quizzes in Surveys and in Life: Challenges in Accurately Measuring People’s Knowledge".](/presentations/jon-krosnick-presents-quizzes-surveys-and-life) 2025. [Jon Krosnick presents "Quizzes in Surveys and in Life: Challenges in Accurately Measuring People’s Knowledge".](/presentations/jon-krosnick-presents-quizzes-surveys-and-life) 2025. - add\_circle\_outline do\_not\_disturb\_on Abstract Abstract: Quizzes are central to contemporary education around the world and of great interest to researchers across the social sciences (in psychology, sociology, political science, health, business, and other fields) who want to assess knowledge levels... ### 2024 [Ye Wang presents History versus Unobservable Confounding in Panel Data Analysis: A Design-Based Perspective](/presentations/ye-wang-presents-history-versus-unobservable). 2024. [Ye Wang presents History versus Unobservable Confounding in Panel Data Analysis: A Design-Based Perspective](/presentations/ye-wang-presents-history-versus-unobservable). 2024. - add\_circle\_outline do\_not\_disturb\_on Abstract Abstract: Should researchers control for the observable history of variables, such as lagged dependent variables, or unobservable confounders, such as fixed effects, when attempting to establish causality in panel data? In this paper, we review two... [Yi Zhang presents Minimax-Regret Estimation of Heterogeneous Treatment Effect with Multi-Site Data](/presentations/yi-zhang-presents-minimax-regret-estimation). 2024. [Yi Zhang presents Minimax-Regret Estimation of Heterogeneous Treatment Effect with Multi-Site Data](/presentations/yi-zhang-presents-minimax-regret-estimation). 2024. - add\_circle\_outline do\_not\_disturb\_on Abstract Abstract: Estimation of heterogeneous treatment effects plays an essential role in various scientific fields, industries, and policy-making settings. Although many existing methods estimate conditional average treatment effects (CATEs) based on the data... [Juan Dodyk presents Inefficient Policies in the Green Transition](/presentations/juan-dodyk-presents-inefficient-policies-green). 2024. [Juan Dodyk presents Inefficient Policies in the Green Transition](/presentations/juan-dodyk-presents-inefficient-policies-green). 2024. - add\_circle\_outline do\_not\_disturb\_on Abstract Abstract:Countries have employed a wide range of policy instruments to mitigate climate change. These policies share a common pattern: governments initially rely on subsidies, together with command-and-control regulations, and eventually adopt carbon... [Xiang Meng presents Time-Varying Causal Survival Learning](/presentations/xiang-meng-presents-time-varying-causal-survival). 2024. [Xiang Meng presents Time-Varying Causal Survival Learning](/presentations/xiang-meng-presents-time-varying-causal-survival). 2024. - add\_circle\_outline do\_not\_disturb\_on Abstract Abstract: Understanding the causal effects of time-varying treatments is critical in many domains, such as evaluating the impact of heart transplants on patient outcomes. Physicians face a challenge in determining whether transplants significantly improve... [Christopher Kenny presents Principles and Politics: Explicit Rules Bind Lawmakers and Courts](/presentations/christopher-kenny-presents-principles-and-politics). 2024. [Christopher Kenny presents Principles and Politics: Explicit Rules Bind Lawmakers and Courts](/presentations/christopher-kenny-presents-principles-and-politics). 2024. - add\_circle\_outline do\_not\_disturb\_on Abstract Abstract: Policymakers in America often hold power over democratic institutions, especially electoral institutions. Their decisions can place principled decision-making at odds with partisan goals, especially in polarized times. How do policymakers... [Danny Ebanks presents the Unimportance of Incumbency Advantage and Ideological Polarization in House Elections](/presentations/danny-ebanks-presents-unimportance-incumbency-advantage). 2024. [Danny Ebanks presents the Unimportance of Incumbency Advantage and Ideological Polarization in House Elections](/presentations/danny-ebanks-presents-unimportance-incumbency-advantage). 2024. - add\_circle\_outline do\_not\_disturb\_on Abstract Abstract: An essential component of democracy is the ability to hold legislators accountable via the threat of electoral defeat, a concept that has rarely been quantified directly. Well-known massive changes over time in indirect measures — such as... [Bailey Flanigan presents Algorithmic Tools for Targeting Sortition Ideals](/presentations/bailey-flanigan-presents-algorithmic-tools-targeting). 2024. [Bailey Flanigan presents Algorithmic Tools for Targeting Sortition Ideals](/presentations/bailey-flanigan-presents-algorithmic-tools-targeting). 2024. - add\_circle\_outline do\_not\_disturb\_on Abstract Abstract: In the past few years, there has been a flurry of computer science research on *sortition,* the task of randomly sampling a representative subset of people. This work has so far been primarily applied to choose members of *citizens' assemblies,* but... [Aleksei Opacic presents Disparity Analysis: A Tale of Two Approaches](/presentations/aleksei-opacic-presents-disparity-analysis-tale-two). 2024. [Aleksei Opacic presents Disparity Analysis: A Tale of Two Approaches](/presentations/aleksei-opacic-presents-disparity-analysis-tale-two). 2024. - add\_circle\_outline do\_not\_disturb\_on Abstract Abstract: To understand the patterns and trends of various forms of inequality, quantitative social science research has typically relied on statistical models linking the conditional mean of an outcome variable to a set of explanatory factors. A prime... [Yuki Atsusaka presents Addressing Measurement Errors in Ranking Questions for the Social Sciences](/presentations/yuki-atsusaka%C2%A0presents-addressing-measurement-errors). 2024. [Yuki Atsusaka presents Addressing Measurement Errors in Ranking Questions for the Social Sciences](/presentations/yuki-atsusaka%C2%A0presents-addressing-measurement-errors). 2024. - add\_circle\_outline do\_not\_disturb\_on Abstract Abstract: Social scientists often use ranking questions to study people's opinions and preferences. However, little is understood about the general nature of measurement errors in such questions, let alone their statistical consequences and what... - Previous page chevron\_left - [1](?page=0 "Current page") - [2](?page=1 "Go to page 2") - [3](?page=2 "Go to page 3") - [ Last page 31 ](?page=30 "Go to last page") - [ Next page chevron\_right ](?page=1 "Go to next page")