|
|
Methods Lecture. ``Uncovering
Causal Mechanisms: Mediation Analysis and Surrogate
Indices.'' With Raj Chetty. Presentation
Slides. National Bureau of Economic Research, Summer
Institute, July 24, 2025. |
Invited Speaker. ``GenAI-Powered
Inference.'' Presentation
Slides. Society for Political Methodology, Summer
Meeting, July 17, 2025. |
Keynote Speaker. ``Spatiotemporal
causal inference with arbitrary spillover and carryover
effects.'' Presentation
Slides. Summer Meeting of the Japanese Society for
Quantitative Political Science, July 6, 2025. |
Invited Speaker. ``GenAI-Powered
Inference.'' Presentation
Slides. Applied Statistics Workshop, Department of
Economics, University of Tokyo, July 4, 2025. |
Keynote Lecture. ``Does AI help humans make better
decisions?.'' Presentation
Slides. Essex Summer School in Social Science Data
Analysis, Simon Fraser University, June 25, 2025. |
Invited Speaker. ``GenAI-Powered
Causal Inference.'' Presentation
Slides. Department of Government, University of Vienna,
June 16, 2025. |
Invited discussant. ``Discussion of ``Estimation
and Inference in Boundary Discontinuity Designs'' by Cattaneo,
Titiunik, and Yu.'' Presentation
Slides. Online Causal Inference Seminar, June 10,
2025. |
Distinguished Lecture. ``Does AI help humans make better
decisions?.'' Presentation
Slides. Department of Politics and Public
Administration, University of Konstanz, June 4,
2025. |
Inaugural Speaker. ``Generative
AI Powered Causal Inference.'' Presentation
Slides. Oxford Computatioal Political Science Group,
University of Oxford, May 22, 2025. |
Invited Speaker. ``Does AI help humans make better
decisions?.'' Presentation
Slides. Statistics Seminar, Department of Pure and
Applied Mathematics, University of Cambrdige, May 16,
2025. |
Invited Speaker. ``Does AI help humans make better
decisions?.'' Presentation
Slides. Copenhagen Business School, April 30,
2025. |
Invited Speaker. ``Does AI help humans make better
decisions?.'' Presentation
Slides. Operations Research Seminar, Massachusetts
Institute of Technology, April 24, 2025. |
Keynote Speaker. ``Spatiotemporal
causal inference with arbitrary spillover and carryover
effects.'' Presentation
Slides. Political Methodology Europe Conference, London
School of Economics, April 7, 2025. |
Invited Guest Speaker. ``Causal
Representation Learning with Generative Artificial Intelligence:
Application to Texts as Treatments.'' Presentation
Slides. Oxford Spring School in Advanced Research
Methods, University of Oxford, April 3, 2025. |
Invited Speaker. ``Causal
Representation Learning with Generative Artificial Intelligence:
Application to Texts as Treatments.'' Presentation
Slides. Connected Politics Seminar, University College
of Dublin, April 1, 2025. |
Invited Speaker. ``Does AI help humans make better
decisions?.'' Presentation
Slides. Interdisciplinary Seminar, Department of
Political Science, Trinity College of Dublin, March 31,
2025. |
Invited Speaker. ``Does AI help humans make better
decisions?.'' Presentation
Slides. Center for International and Comparartive
Politics Seminar, ETH and University of Zurich, March 19,
2025. |
Invited Speaker. ``Does AI help humans make better
decisions?.'' Presentation
Slides. Statistics Section, Department of Mathematics,
Imperial College of London, March 14, 2025. |
Distinguished Speaker. ``Does AI help humans make better
decisions?.'' Presentation
Slides. Department of Statistics, University of Oxford,
March 13, 2025. |
Invited Speaker. ``Causal
Representation Learning with Generative Artificial Intelligence:
Application to Texts as Treatments.'' Presentation Slides. WZB
Social Science Center, March 7, 2025. |
Invited Speaker. ``Does AI help humans make better
decisions?.'' Presentation
Slides. Seminar at Data Science Lab, Hertie School,
March 6, 2025. |
Distinguished Lecturer. ``Does AI help humans make better
decisions?.'' Presentation
Slides. Mannheim Center for Data Science, University of
Mannheim, March 4, 2025. |
Invited Speaker. ``Does AI help humans make better
decisions?.'' Presentation
Slides. Statistics Seminar at School of Mathematical
Sciences, Lancaster University, February 26, 2025. |
Invited Speaker. ``Using Algorithms to Detect
Gerrymandering and Improve Legislative Redistricting.''
Presentation
Slides. Political Science Seminar, Nuffield College,
University of Oxford, February 11, 2025. |
Invited Speaker. ``Causal
Representation Learning with Generative Artificial Intelligence:
Application to Texts as Treatments.'' Presentation
Slides. Econometrics Seminar, Department of Economics,
University of Oxford, February 7, 2025. |
Invited Speaker. ``Causal
Representation Learning with Generative Artificial Intelligence:
Application to Texts as Treatments.'' Presentation
Slides. Artificially Intelligent Social Science
Workshop, University of Oxford, February 6, 2025. |
Invited Speaker. ``Does AI help humans make better
decisions?.'' Presentation Slides.
Department of Government, University of Essex, February 4,
2025. |
Invited Speaker. ``Causal
Representation Learning with Generative Artificial Intelligence:
Application to Texts as Treatments.'' Presentation
Slides. Department of Methodology, London School of
Economics and Political Science, January 24, 2025. |
Invited Speaker. ``Does AI help humans make better
decisions?.'' Presentation
Slides. Google DeepMind, January 21,
2025. |
Invited Speaker. ``Causal
Representation Learning with Generative Artificial Intelligence:
Application to Texts as Treatments.'' Presentation
Slides. Joint Quantitative Political Science Conference
for Asia and Australasia, Victoria University of Wellington, January
9, 2025. |
Invited Speaker. ``Causal
Representation Learning with Generative Artificial Intelligence:
Application to Texts as Treatments.'' Presentation
Slides. Winter Meeting of the Japanese Society for
Quantitative Political Science, January 5, 2025. |
Invited Speaker. ``Do algorithmic recommendations
help humans make better decisions?.'' Mardia Workshop
on Algorithms in the Justice System, Royal Statistical Society,
December 17, 2024. |
Invited Speaker. ``Does AI help humans make better
decisions?.'' Department of Political Science,
University of College London, December 11, 2024. |
Presenter. ``Causal
Representation Learning with Generative Artificial Intelligence:
Application to Texts as Treatments.'' Presentation
Slides. Causal Inference Reading Group, Department of
Statistics, University of Oxford, December 6, 2024. |
Invited Speaker. ``Does AI help humans make better
decisions?.'' Presentation
Slides. Graduate School for Law and Politics,
University of Tokyo, November 11, 2024. |
Invited Speaker. ``Causal
Representation Learning with Generative Artificial Intelligence:
Application to Texts as Treatments.'' Presentation
Slides. School of Political Economics, Waseda
University, November 8, 2024. |
Invited Speaker. ``Using Algorithms to Detect
Gerrymandering and Improve Legislative Redistricting.''
Presentation
Slides. University College Dublin, November 5,
2024. |
Invited Plenary Panelist. ``Future
of Quantitative Social Science.'' MethodsNET, University of
Louvain, Belgium, October 31, 2024. |
Invited Speaker. ``Using Algorithms to Detect
Gerrymandering and Improve Legislative Redistricting.''
Presentation
Slides. Cathie Marsh Institute for Social Research,
University of Manchester, October 24, 2024. |
Invited Speaker. ``Does AI help humans make better
decisions?.'' Presentation
Slides. Aix-Marseille School of Economics, University
of Aix-Marseille, October 14, 2024. |
Invited Speaker. ``Does AI help humans make better
decisions?.'' Presentation
Slides. Department of Economics, University of
Fribourg, October 8, 2024. |
Invited Speaker.``Statistical Performance
Guarantee for Subgroup Identification with Generic Machine
Learning.'' Presentation
Slides. Subgroup Analysis Special Interest Group,
European Federation of Statisticians in the Pharmaceutical Industry;
October 2, 2024 |
Invited Panelist. ``Essential Role of Causality in
the Fairness Evaluation of AI-Assisted Human Decision
Making.'' Presentation
Slides. Symposium on Causality, Museo Galileo,
Florence, Italy. September 27, 2024. |
Invited Speaker. ``Does AI help humans make better
decisions?.'' Presentation
Slides. IQSS Coffee Hour, Harvard University, September
23, 2024. |
Invited Speaker.``Statistical Performance
Guarantee for Subgroup Identification with Generic Machine
Learning.'' Presentation
Slides. Department of Biostatistics, Epidemiology &
Informatics, Perelman School of Medicine, University of
Pennsylvania; September 16, 2024 |
Invited Speaker. ``The Cram Method for Efficient
Simultaneous Learning and Evaluation.'' Presentation Slides.
Joint Statistical Meetings, August 5, 2024. |
Invited Speaker. ``Does AI help humans make better
decisions?.'' Presentation
Slides. Keidanren (Japan Business Association), July 11,
2024. |
Invited Speaker. ``Does AI help humans make better
decisions? A methodological framework for experimental
evaluation.'' Presentation
Slides. Kochi University of Technology, July 6,
2024. |
Invited Speaker. ``Estimating Racial Disparities
when Race is Not Observed.'' Presentation
Slides. Workshop on Bridging Prediction and
Intervention Problems in Social Systems, Banff International
Research Station for Mathematical Innovation and Discovery. June 6,
2024. |
Invited Discussant. ``Discussion: Bias,
Fairness, and Inequality in an Algorithmic Age.'' Presentation
Slides. Center for Statistics and the Social Sciences,
25th Anniversary Celebration, University of Washington. May 18,
2024. |
Invited Speaker. ``Statistical Evaluation of
Causal Machine Learning.'' Presentation
Slides. Subgroup Analysis Special Interest Group,
European Federation of Statisticians in the Pharmaceutical
Industry. May 13, 2024. |
Invited Speaker. ``Does AI help humans make better
decisions? A methodological framework for experimental
evaluation.'' Presentation
Slides. Faculty of Information and Department of
Statistics, University of Toronto, May 3, 2024. |
Applied Statistics Workshop. ``Does AI help humans make better
decisions? A methodological framework for experimental
evaluation.'' Presentation
Slides. Institute for Quantitative Social Science,
Harvard University, May 1, 2024. |
Invited Speaker. ``Does AI help humans make better
decisions? A methodological framework for experimental
evaluation.'' Presentation
Slides. Department of Political Science, University of
California, San Diego, April 24, 2024. |
Invited Speaker. ``Does AI help humans make better
decisions? A methodological framework for experimental
evaluation.'' Presentation
Slides. Department of Political Science, Stanford
University, April 18, 2024. |
Invited Speaker. ``The Cram Method for Efficient
Simultaneous Learning and Evaluation.'' Presentation
Slides. Online Causal Inference Seminar, April 2,
2024. |
Invited Speaker. ``Does
AI help humans make better decisions? A methodological framework for
experimental evaluation.'' Presentation
Slides. Department of Public Administration and Policy,
University of Georgia, March 28, 2024. |
Invited Speaker. ``Does
AI help humans make better decisions? A methodological framework for
experimental evaluation.'' Presentation
Slides. Quantitative Collaborative, University of
Virginia, March 13, 2024. |
Invited Speaker. ``Using Algorithms to Detect
Gerrymandering and Improve Legislative Redistricting.''
Presentation
Slides. Ohio State University, February 8,
2024. |
Invited Speaker.``Statistical Performance Guarantee for
Subgroup Identification with Generic Machine
Learning.'' Presentation
Slides. Department of Statistics, University of
Florida; January 19, 2024 |
Invited Speaker.``Statistical Inference for Heterogeneous
Treatment Effects Discovered by Generic Machine Learning in
Randomized Experiments.'' Presentation
Slides. MENA / Asian Political Methodology Conference,
New York University, Abu Dhabi; January 11, 2024 |
Invited Speaker.``Statistical Inference for Heterogeneous
Treatment Effects Discovered by Generic Machine Learning in
Randomized Experiments.'' Presentation
Slides. Japanese Society for Quantitative Political
Science Winter Meeting, Japan; January 8, 2024 |
Invited Speaker.``Evidence-based Policy
Making and Evaluation: Using Simulation to Analyze Redistricting
Plans.'' Nagaoka University of Technology, Japan; January 5,
2024 |
Invited Speaker. ``Using Algorithms to Detect
Gerrymandering and Improve Legislative Redistricting: Cases from the
United States and Japan.'' Presentation
Slides. Equity and Algorithms Series, Digital
Scholarship Support Group; Japan Forum, Reischauer Institute of
Japanese Studies, Harvard University, November 4,
2023. |
Invited Speaker. ``Bringing Causality into
Fairness: Application to Pretrial Public Safety
Assessment.'' Presentation
Slides. Randomization, Neutrality, and Fairness. Simons
Laufer Mathematical Sciences Institute; October 24,
2023. |
Invited Speaker. ``Using Algorithms to Detect
Gerrymandering and Improve Legislative Redistricting.''
Presentation
Slides. Department of Political Science, University of
Wisconsin, Madison. October 20, 2023. |
Invited Speaker. ``Neyman Meets Causal Machine
Learning'' Presentation
Slides. Department of Statistics, University of
Wisconsin, Madison. October 18, 2023. |
Invited Speaker. ``Assessing the
Effectiveness of Electoral Reforms.'' A Convening: Race, Reform, and
Multiracial Democracy. The Charles Hamilton Houston Institute for
Race & Justice, Harvard Law School. September 22,
2023. |
Keynote Speaker. ``Estimating Racial Disparities
When Race is Not Observed.'' Presentation
Slides. Promises and Limits of Inferring
Protected-Class Data for Disparate Impact Testing of AI Systems, DLA
Piper and O'Neil Risk Consulting & Algorithmic Auditing, September
8, 2023. |
Invited panelist. ``Author
meets critics for Data Analysis for Social Science: A Friendly and
Practical Introduction.'' Annual Meeting of the
American Political Science Association, September 2,
2023 |
Invited Speaker. ``Estimating Racial Disparities
When Race is Not Observed.'' Presentation
Slides. Annual Meeting of the American Political
Science Association, September 2, 2023. |
Invited Speaker. ``Safe Policy Learning through
Extrapolation: Application to Pre-trial Risk
Assessment.'' Presentation
Slides. The Bravo/JEA/SNSF Workshop ``Using Data to
Make Decisions'', Department of Economics, Brown University. July
19, 2023. |
Invited Discussant. The Annual Summer
Meething of the Society for Political Methodology. Stanford
University. July 10, 2023. |
Invited Panelist. The First Ezra F. Vogel
Forum, Aichi University. July 1, 2023. |
Invited Speaker. ``Measuring and Modeling
Neighborhoods.'' The Summer Meeting of the Japanese
Society for Quantitative Political Science, Fukuoka University. June
24, 2023. |
Invited Speaker. ``Using Algorithms to Analyze
Legislative Redistricting: Case of the United States.''
Ministry of Internal Affairs and Communications, Japan. June 22,
2023. |
Invited Speaker. ``Safe Policy Learning through
Extrapolation: Application to Pre-trial Risk
Assessment.'' Presentation
Slides. Statistical Foundations of Data Science and
their Applications Conference, Department of Operations Research and
Financial Engineering, Princeton University. May 8, 2023. |
Invited Speaker. ``Safe Policy Learning through
Extrapolation: Application to Pre-trial Risk
Assessment.'' Presentation
Slides. Biostatistics Seminar, Fred Hutchinson Cancer
Center. April 19, 2023. |
Invited speaker. ``Estimating Racial Disparities When
Race is Not Observed.'' Presentation
Slides. Federal Deposit Insurance Corporation, April
12, 2023 |
Invited Speaker. ``Experimental Evaluation of
Algorithm-Assisted Human Decision Making: Application to Pretrial
Public Safety Assessment.'' Presentation
Slides. Hariri Institute Distinguished Speaker Series,
Boston University, March 13, 2023. |
Invited Speaker. ``Estimating Racial Disparities When
Race is Not Observed.'' Presentation
Slides. Interdisciplinary Seminar on Social Science
Methodology and Interdisciplinary Seminar in Quantitative Methods,
University of Michigan, March 10, 2023 |
Keynote Speaker. ``Experimental Evaluation of
Algorithm-Assisted Human Decision Making: Application to Pretrial
Public Safety Assessment.'' Presentation
Slides. Michigan Student Symposium for
Interdisciplinary Statistical Sciences, University of Michigan,
March 9, 2023. |
Invited Speaker. ``Using Algorithms to Detect
Gerrymandering: Algorithm-Assisted Redistricting Methodology (ALARM)
Project.'' Presentation
Slides. Department of Political Science, Washington
University. February 9, 2023. |
Invited Speaker. ``Experimental Evaluation of
Algorithm-Assisted Human Decision Making: Application to Pretrial
Public Safety Assessment.'' Presentation
Slides. Japanese Society for Quantitative Political
Science Winter Meeting, January 9, 2023. |
Invited Speaker. ``Using Simulation Algorithms
to Analyze and Evaluate Redistricting Plans.'' Presentation
Slides. Asian Political Methodology Meeting. January 7,
2023. |
Invited Speaker. ``The Algorithm-Assisted
Redistricting Methodology (ALARM) Project.'' Presentation
Slides. Redistricting DataHub. December 16,
2022. |
Invited Speaker. ``Safe Policy Learning through
Extrapolation: Application to Pre-trial Risk
Assessment.'' Presentation
Slides. Department of Statistics and Probability,
Michigan State University. October 18, 2022. |
Invited Speaker. ``Safe Policy Learning through
Extrapolation: Application to Pre-trial Risk
Assessment.'' Presentation
Slides. Department of Economics, European University
Instiute. October 10, 2022. |
Invited Speaker. ``Experimental Evaluation of
Causal Machine Learning.'' Presentation
Slides. Department of Statistics, Computer Science, and
Applications, and the Florence Center for Data Science, University
of Florence. October 7, 2022. |
Keynote Speaker. ``Experimental Evaluation of
Algorithm-Assisted Human Decision Making: Application to Pretrial
Public Safety Assessment.'' Presentation
Slides. CIVICA Data Science Days, European University
of Social Sciences, October 6, 2022. |
Invited Speaker. ``Using Simulation Algorithms to
Detect Gerrymandering: Evaluation of the 2022 Congressional
Maps.'' Presentation
Slides. Quantitative Social Science Colloquium,
Department of Politics, Princeton University, September 23,
2022. |
Invited Speaker. ``Experimental Evaluation of
Algorithm-Assisted Human Decision Making: Application to Pretrial
Public Safety Assessment.'' Presentation
Slides. Department of Educational Psychology and
Department of Statistics, University of Conneticut, September 9,
2022. |
Invited Speaker. ``Experimental Evaluation of
Causal Machine Learning.'' Presentation
Slides. Causal Machine Learning for Novel Settings
Workshop, Department of Statistics and Krannert School of
Management, Purdue University. August 19, 2022. |
Invited Speaker. ``Safe Policy Learning through
Extrapolation: Application to Pre-trial Risk
Assessment.'' Presentation
Slides. Workshop on Statistical Foundations and
Applications of Machine Learning and AI, Department of Statistics,
Columbia University. August 12, 2022. |
Invited discussant for the Keynote
Talk. Annual Summer Political Methodology Conference. Washington
University at St. Louis. July 22, 2022. |
Invited Speaker. ``Safe Policy Learning through
Extrapolation: Application to Pre-trial Risk
Assessment.'' Presentation
Slides. Japanese Economics Association Spring Meeting.
May 28, 2022. |
Invited speaker. ``Eliciting Truthful
Responses to Sensitive Survey Questions Using List
Experiments.'' Presentation
Slides. Panel on Methods to Measure Public Opinon
and Incidence OF FGM, Population Council, May 26,
2022. |
Invited Speaker. ``Use of Simulation
Algorithms in Legislative Redistricting Analysis and Evaluation.''
SMaSH: Symposium for Mathematical Sciences at Harvard. Presentation Slides.
May 17, 2022. |
Invited Panelist. ``Statistical Inference for
Subgroups Discovered by Machine Learning.'' Presentation Slides.
The 14th Annual Conference on Statistical Issues in Clinical
Trials. University of Pennsylvania, April 12, 2022. |
Invited Speaker. ``Matching Methods for Causal
Inference with Time-Series Cross-Sectional Data.'' Presentation
Slides. JACOBS/CIFAR Causal Inference from
Longitudinal Data Workshop, March 29, 2022. |
Invited Speaker. ``Experimental Evaluation of
Machine Learning Algorithms for Causal Inference.'' Presentation
Slides. Algorithms in Public Policy Working
Group. March 4, 2022. |
Invited Speaker. ``Safe Policy Learning through
Extrapolation: Application to Pre-trial Risk
Assessment.'' Presentation
Slides. Online Causal Inference Seminar. March 1,
2022. |
Invited Speaker. ``Use of Simulation Algorithms in Legislative
Redistricting Evaluation.'' IQSS Coffee Hour. Presentation
Slides. February 15, 2022. |
Invited Speaker. ``Experimental Evaluation of Algorithm-Assisted Human Decision Making: Application to Pretrial Public Safety Assessment.'' Presentation
Slides. Discussion Paper Meeting, Research Section, Royal
Statistical Society. February 8, 2022. |
Invited Speaker. ``Principal Fairness for
Human and Algorithmic Decision-Making.'' Presentation
Slides. DeMo Meeting, Research Section, Royal
Statistical Society. February 8, 2022. |
Invited panel on ``Past, Present, and
Future of Political Methodology.'' Asian Political Methodology Conference. January 6, 2022. |
Invited speaker. ``Use of Artificial Intelligence
in Criminal Justice System: Experimental Evaluation.''
Presentation
Slides. Workshop on Methodology of Social Science,
Institute of Social Science, the University of Tokyo. November 18,
2021. |
Invited panel on ``Quantifying
Redistricting.'' Redistricting and American Democracy 2021. Duke
University. September 29, 2021. |
Invited Speaker. ``Sequential Monte Carlo for
Sampling Balanced and Compact Redistricting Plans.'' Presentation Slides.
Redistricting Algorithms, Law, and Policy Conference, Harvard
Radcliff Institute. September 13, 2021. |
Invited Speaker. ``Experimental Evaluation of
Machine Learning Algorithms for Causal Inference.'' Presentation
Slides. Pacific Causal Inference Conference. Peking
University. September 11, 2021. |
Invited presenter. ``Estimating Heterogeneous Causal Effects of
High-Dimensional Treatments Using Interpretable Machine Learning:
Application to Conjoint Analysis.'' Presentation
Slides. Joint Statistical Meetings. August 11,
2021. |
Invited Discussant. ``Discussion: Causal Inference with Latent
Variables.'' Presentation
Slides. Joint Statistical Meetings. August 9,
2021. |
Summer Methods Series.
``Experimental
Evaluation of Machine Learning Algorithms for Causal
Inference.'' Presentation
Slides. Evidence in Governance and Politics (EGAP).
June 28, 2021. |
Distinguished Speaker Series. ``Experimental Evaluation of
Algorithm-Assisted Human Decision Making: Application to Pretrial
Public Safety Assessment.'' Presentation
Slides. Harvard College Summer Program for
Undergraduates in Data Science, June 24, 2021. |
Center for Causal Inference Symposium. ``Experimental Evaluation of
Algorithm-Assisted Human Decision Making: Application to Pretrial
Public Safety Assessment.'' Presentation
Slides. Pardee RAND Graduate School, June 24,
2021. |
Econometrics Seminar. ``Experimental Evaluation of
Individualized Treatment Rules.'' Presentation
Slides. Department of Economics, University of
California, Irvine. June 7, 2021. |
Causal Inference for Social Impact
Conference. ``Experimental
Evaluation of Algorithm-Assisted Human Decision Making: Application
to Pretrial Public Safety Assessment.'' Presentation
Slides. Society for Causal Inference, June 2,
2021. |
Keynote Talk. ``Experimental Evaluation of
Algorithm-Assisted Human Decision Making: Application to Pretrial
Public Safety Assessment.'' Presentation
Slides. Kansas-Western Missouri Chapter of the American
Statistical Association, April 29, 2021. |
Department of Political Science. ``Use of Artificial Intelligence
in Criminal Justice System: Experimental Evaluation.''
Presentation
Slides. Bogazici University, Istanbul. April 21,
2021. |
Plenary panel on "Causality, Fairness and
its Limitations." Association for Computing Machinery Conference on
Fairness, Accountability, and Transparency (ACM FAccT) 2021. March
9, 2021. |
The Rebecca B. Morton Conference on
Experimental Political Science. ``Experimental Evaluation of
Algorithm-Assisted Human Decision Making: Application to Pretrial
Public Safety Assessment.'' Presentation Slides. New
York University Center for Experimental Social Science. March 5,
2021. |
Data Science Applied Research and Education
Seminar. ``Experimental
Evaluation of Algorithm-Assisted Human Decision Making: Application
to Pretrial Public Safety Assessment.'' Presentation
Slides. Department of Statistical Sciences, University
of Toronto. December 14, 2020. |
Keynote talk. ``Use of Artificial Intelligence
in Criminal Justice System: Experimental Evaluation.''
Presentation
Slides. Annual Meeting of the Taiwan
Political Science Association. December 5, 2020. |
Applied Statistics Workshop. ``Experimental Evaluation of
Algorithm-Assisted Human Decision Making: Application to Pretrial
Public Safety Assessment.'' Presentation
Slides and Video. Harvard University. December 2,
2020. |
Invited speaker. ``Experimental Evaluation of
Algorithm-Assisted Human Decision Making: Application to Pretrial
Public Safety Assessment.'' Presentation
Slides. University of Melbourne (Department of
Economics) and Monash University (Department of Econometrics and
Business Statistics). November 18, 2020. |
Invited talk. ``Quantitative Social Science: An
Introduction.'' Presentation Slides Webinar on
Teaching Quantitative Social Science (Celebrating the publication of
the Chinese
edition of Quantitative Social Science: An
Introduction). November 13, 2020. |
Invited talk. ``Evidence-based Policy
Evaluation.'' Presentation Slides Data
Analytics Colloquium, National Chung Hsing University and University
of Texas, Dallas. November 13, 2020. |
Invited speaker. ``Experimental Evaluation of
Algorithm-Assisted Human Decision Making: Application to Pretrial
Public Safety Assessment.'' Presentation
Slides. Microsoft Research, New England. October 29,
2020. |
Keynote talk. ``Evidence-based Policy
Evaluation.'' (in Japanese) Boston Japanese Researchers Forum,
Massachusetts Institute of Technology, September 19,
2020. |
Invited speaker.
``Experimental Evaluation of
Computer-Assisted Human Decision Making: Application to Pretrial
Risk Assessment
Instruments.'' Presentation
Slides. Virtual Workshop on Missing Data Challenges in
Computation, Statistics and Applications. Institute for Advanced
Studies, Princeton, New Jersey. September 7, 2020. |
Invited discussant. ``Discussion of Lok and Bosch
(2020)'' Presentation
Slides Online Causal Inference Seminar. August 18,
2020. |
Keynote talk.
``Identification and
Sensitivity Analysis of Contagion Effects in Randomized
Placebo-Controlled
Trials.'' Presentation
Slides. Causal Mediation Analysis Training, Mailman
School of Public Health, Columbia University. August 14,
2020. |
Invited panel.
``Experimental Evaluation of
Computer-Assisted Human Decision Making: Application to Pretrial
Risk Assessment
Instruments.'' Presentation
Slides. Joint Statistical Meetings. Virtual
conference. August 4, 2020. |
Invited discussant.
``Discussion:
Conjoint
Controversy.'' Presentation
Slides. Annual Meeting of the Society for
Political Methodology. Virtual conference. July 17,
2020. |
Invited panel.
``Experimental
Evaluation of Computer-Assisted Human Decision Making:
Application to Pretrial Risk Assessment
Instruments.'' Presentation
Slides. Annual Meeting of the Society for Political
Methodology. Virtual conference. July 16, 2020. |
Causal Inference Workshop. ``Matching Methods for Causal
Inference with Time-Series Cross-Sectional Data.'' Presentation Slides.
European University Institute, May 19, 2020. |
Causal Inference Workshop. ``Causal Inference with
Spatio-temporal Data: Estimating the Effects of Airstrikes on
Insurgent Violence in Iraq.'' Presentation Slides.
European University Institute. May 19, 2020. |
Applied Statistics Workshop. ``Causal Inference with
Spatio-temporal Data: Estimating the Effects of Airstrikes on
Insurgent Violence in Iraq.'' Presentation Slides.
Institute for Quantitative Social Science, Harvard University. April
8, 2020. |
Quantitative Redistricting and
Gerrymandering Conference. ``The Essential Role of
Empirical Validation in Legislative Redistricting
Simulation.'' Presentation Slides.
Department of Mathematics, Duke University. March 3,
2020. |
Quantitative Social Science Colloquium.
``Experimental Evaluation of
Computer-Assisted Human Decision Making: Application to Pretrial
Risk Assessment Instruments.'' Princeton
University. Presentation
Slides. February 28, 2020. |
Adaptive Experimentation Workshop. ``Experimental Evaluation of
Individualized Treatment Rules .'' Presentation
Slides. Facebook, New York. February 13,
2020. |
Keynote talk, Special Workshop on
Evidence-based Policy Making. Presentation
Slides. World Economic Forum, Centre for the Fourth
Industrial Revolution, Japan. January 7, 2020. |
Invited presentation. ``Improving the External
Validity of Conjoint Analysis: The Essential Role of Population
Distribution.'' Presentation
Slides. National Taiwan University. October 8,
2019. |
Invited panel. ``Design and Analysis of
Two-stage Randomized Experiments.'' Presentation
Slides. Joint Statistical Meetings, Denver
Colorado. July 29, 2019. |
JASA Theory and Methods Invited Papers
Session. ``Discussion of ``The Blessings of
Multiple Causes'' by Wang and Blei.'' Presentation
Slides. Joint Statistical Meetings, Denver
Colorado. July 29, 2019. |
Invited presentation. ``Experimental Design and
Statistical Inference for Conjoint Analysis: The Essential Role of
Population Distribution.'' Presentation
Slides. Annual Summer Meeting of the Society for
Political Methodology. July 19, 2019. |
Center for Advanced Interdisciplinary
Research Seminar. ``Automated Coding of
Political Campaign Advertisement Videos: An Empirical Validation
Study.'' Presentation
Slides. University of Tokyo. June 13,
2019. |
The 20th Anniversary Conference. ``Matching Methods for Causal
Inference with Time-Series Cross-Sectional Data.'' Presentation Slides.
Center for Statistics and the Social Sciences, University of
Washington, March 24, 2019. |
The Prevention Science and Methodology
Group. ``Design and
Analysis of Two-stage Randomized Experiments.'' Presentation
Slides. Center for Prevention Implementation
Methodology, Northwestern University. May 21, 2019. |
International Causal Inference Conference.
``Statistical Analysis
of Two-stage Randomized Experiments.'' Presentation
Slides. Peking University, Department of
Biostatistics. May 11, 2019. |
Distinguished Seminar. ``Design and Analysis of
Two-stage Randomized Experiments.'' Presentation
Slides. Massachusetts Institute of Technology,
Institute for Data, Systems, and Society (IDSS). May 7,
2019. |
Applied Statistics Workshop. ``Automated Coding of
Political Campaign Advertisement Videos: An Empirical Validation
Study.'' Presentation
Slides. Institute for Quantitative Social Science,
Harvard University. April 3, 2019. |
SAGE Research Methods Video: Data Science,
Big Data Analytics, and Digital Methods. ``Researching the Value of
Health Insurance in India using a Large-Scale Field
Experiment.'' Video. April
2, 2019. |
Keynote Talk. ``Statistical Analysis of
Two-stage Randomized Controlled Experiments.'' Presentation
Slides. Harvard Experimental Political Science Graduate
Student Conference. March 29, 2019. |
Beyond Curve Fitting: Causation,
Counterfactuals and Imagination-Based AI. ``Causality,
Social Sciences, and Statistics.'' Presentation Slides.
Association for the Advancement of Artificial Intelligence, Spring
Symposium Series, Stanford University, March 26, 2019.
|
Quantitative Research Methods Workshop.
``Matching Methods for
Causal Inference with Time-Series Cross-Sectional
Data.'' Presentation Slides.
Department of Political Science, Yale University, March 8,
2019. |
Causal Inference Seminar. ``Causal Inference with
Interference and Noncompliance in Two-stage Randomized Controlled
Trials.'' Presentation
Slides. Departments of Biostatistics and Statistics,
Boston University. February 4, 2019. |
California Center for Population Research.
``Matching Methods for
Causal Inference with Time-Series Cross-Sectional
Data.'' Presentation
Slides. University of California, Los Angeles. January
23, 2019.
|
Department of Statistics. ``Causal Inference with
Interference and Noncompliance in Two-stage Randomized Controlled
Trials.'' Presentation
Slides. University of California, Los Angeles. January
22, 2019.
|
Asian Political Methodology Meeting.
``Matching Methods for
Causal Inference with Time-Series Cross-Sectional
Data.'' Presentation
Slides. Doshisha University. January 6, 2019.
|
Keynote Talk. ``Matching Methods for Causal
Inference with Time-Series Cross-Sectional Data.''
Presentation
Slides. Latin American Political Methodology
Meeting, University of Los Andes. November 9, 2018.
|
Technology, Public Policy, and Social Impact
Seminar. ``Using a
Probabilistic Model to Assist Merging of Large-scale
Administrative Records.'' Presentation
Slides. Harvard University, October 30, 2018.
|
Causal Inference and Machine Learning
Workshop at the Data Science Initiative
Conference. ``Causal
Interaction in Factorial Experiments: Application to Conjoint
Analysis.'' Presentation
Slides. Harvard Data Science Institute. October 18,
2018.
|
Biostatistics, Bioinformatics, and
Biomathematics Seminar. ``Causal Inference with
Interference and Noncompliance in Two-stage Randomized Controlled
Trials.'' Presentation Slides.
Georgetown University. October 12, 2018. |
Quantitative Redistricting Workshop. ``Redistricting through Markov
Chain Monte Carlo.'' Presentation
Slides. Statistical and Applied Mathematical Sciences
Institute (SAMSI), October 8, 2018. |
Statistics Department Colloquium. ``Causal Inference with
Interference and Noncompliance in Two-stage Randomized Controlled
Trials.'' Presentation Slides.
Harvard University. October 1, 2018. |
Organized Panel. ``Causal Inference with
Interference and Noncompliance in Two-stage Randomized Controlled
Trials.'' Presentation Slides.
Annual Meeting of the American Political Science Association,
Boston. August 30, 2018. |
Invited Panel. ``Matching Methods for Causal
Inference with Time-Series Cross-Section Data.'' Presentation Slides.
Joint Statistical Meetings, Vancouver. August 1, 2018.
|
Summer Political Methodology Meeting. ``Matching Methods for Causal
Inference with Time-Series Cross-Section Data.'' Presentation
Slides. Provo, Utah. July 19, 2018.
|
Department of Economics.
``Validating
Self-reported
Turnout.'' Presentation
Slides. Yokohama City University, July 9, 2018.
|
Department of Politics.
``Validating
Self-reported
Turnout.'' Presentation
Slides. New York University, April 10, 2018.
|
Center for the Study of Democratic Politics.
``Validating
Self-reported
Turnout.'' Presentation
Slides. Princeton University, March 8, 2018.
|
Biostatistics Seminar. ``Causal Inference with
Interference and Noncompliance in Two-stage Randomized Controlled
Trials.'' University of Pennsylvania, Department of
Biostatistics, Epidemiology, and Informatics, February 13, 2018.
|
Institute for Policy Research. ``Validating Self-reported
Turnout.'' Presentation
Slides. Northwestern University, January 24, 2018.
|
Asian Political Methodology Conference. ``Using a Probabilistic
Model to Assist Merging of Large-scale Administrative
Records.'' Presentation
Slides. Seoul National University, January 11, 2018.
|
Japanese Society for Quantitative Political
Science Meeting. ``Validating Self-reported
Turnout.'' Presentation
Slides. University of Tokyo, January 8, 2018.
|
Prevention Science Methodology Group. ``Causal Interaction in High
Dimension.'' Presentation Slides.
Stanford Medical School, December 14, 2015. |
Q-Step Programme
Symposium. ``How to Teach
Quantitative Methods to Social Science Students: The Princeton
Experience.'' Presentation
Slides. University of Warwick. November 24,
2015. |
School of Government and Public
Policy. ``Causal
Interaction in High
Dimension.'' Presentation
Slides. University of Strathclyde, Scotland,
November 23, 2015. |
Curriculum Innovation Fund Faculty
Panel. ``How to Teach an
Introductory Statistics Course.'' Presentation
Slides. McGraw Center for Teaching and Learning,
Princeton University. November 19, 2015. |
Interdisciplinary Seminar in Quantitative
Methods. ``Causal
Interaction in High Dimension.'' Presentation
Slides. University of Michigan, November 4,
2015. |
Department of
Biostatistics. ``Causal
Interaction in High
Dimension.'' Presentation
Slides. Johns Hopkins School of Public Health,
November 2, 2015. |
AidData. ``Causal Interaction in High
Dimension.'' Presentation
Slides. College of William and Mary. October 9,
2015. |
Invited Panel. ``Causal Interaction in High
Dimension.'' Presentation
Slides. Joint Statistical Meetings. August 12,
2015. |
Annual Summer Meeting of the Society for
Political
Methodology. ``Causal
Interaction in High
Dimension.'' Presentation
Slides. University of Rochester. July 23,
2015. |
Annual Summer Workshop on Quantitative
Social Science.
``Survey
Methodologies for Sensitive Questions.''
Presentation
Slides. Keio University, July 15,
2015. |
Annual Summer Workshop on Quantitative
Social Science. ``Causal
Interaction in High
Dimension.'' Presentation
Slides. Doshisha University. July 23,
2015. |
School of Political Science and
Economics. ``Building Curriculum and
Infrastructure for Quantitative Social Science.'' Presentation
Slides. Waseda University, June 30,
2015. |
Political Communication and Journalism. ``Unpacking the Black Box
of Causality: Learning about Causal Mechanisms from Experimental
and Observational Studies.'' Presentation
Slides. School of Communication Research, University
of Amsterdam. June 10, 2015. |
Department of Operations Research and
Financial Engineering. ``A New Automated Redistricting
Simulator Using Markov Chain Monte Carlo.'' Presentation
Slides. Princeton University, May 5,
2015. |
Center for Lifespan
Psychology. ``Unpacking
the Black Box of Causality: Learning about Causal Mechanisms from
Experimental and Observational
Studies.'' Presentation
Slides. Max Planck Institute for Human Development,
Germany. April 28, 2015. |
Political Methodology Seminar. ``Causal Interaction in High
Dimension.'' Presentation
Slides. Princeton University. April 24,
2015. |
Keynote Talk at the UK Causal Inference
Conference. ``Causal
Interaction in High
Dimension.'' Presentation
Slides. University of Bristol, United Kingdom. April
16, 2015. |
Keynote Talk at the Fourth Annual Joint
Conference of the Upstate Chapters of the American Statistical
Association. ``A New
Automated Redistricting Simulator Using Markov Chain Monte
Carlo.'' Presentation
Slides. Rochester, April 7, 2015. |
McCourt School of Public
Policy. ``Causal
Interaction in High
Dimension.'' Presentation
Slides. Georgetown University. March 26,
2015. |
Keynote Talk II at the Winter
Conference in
Statistics. ``Causal
Interaction.'' Presentation
Slides. Borgafjall, Sweden. March 11,
2015. |
Keynote Talk I at the Winter Conference
in
Statistics. ``Covariate
Balancing Propensity
Score.'' Presentation
Slides. Borgafjall, Sweden. March 9,
2015. |
Workshop for the Society Research on
Educational Effectiveness Spring
Conference. ``Workshop
on Causal Mediation
Analysis.'' Presentation
Slides. Washington D.C. March 4, 2015. |
Department of
Statistics. ``Causal
Interaction.'' Presentation
Slides. Carnegie Mellon University. March 2,
2015. |
Experiments in Governance and Politics
Conference. ``Causal
Interaction.'' Presentation
Slides. Presentation
Video. University of California, Los
Angeles. February 20, 2015. |
International Methodology Colloquium.
``Survey
Methodologies for Sensitive
Questions.'' Presentation
Slides. Presentation
Video Rice University, January 30,
2015. |
Asian Political Methodology
Conference. `` Fast
Estimation of Ideal Points with Massive
Data.'' Presentation
Slides. Academia Sinica, Taipei. January 9,
2015. |
Conference on Building The Evidence To Win
Voting Rights Cases. ``Three New Methodologies for Voting
Rights Litigation.'' Presentation
Slides. American Constitutional Society & Law. December
11, 2014. |
Curriculum Innovation Fund Faculty
Panel. ``Teaching an
Introductory Statistics Course: Challenges and
Strategies.'' Presentation
Slides. McGraw Center for Teaching and Learning,
Princeton University. November 18, 2014. |
The Centre for the Study of Democratic
Citizenship.
``Survey
Methodologies for Sensitive
Questions.'' Presentation
Slides. McGill University, October 30,
2014. |
The Centre for the Study of Democratic
Citizenship. ``Covariate
Balancing Propensity Score.'' Presentation
Slides. Laval University and University of Montreal,
October 27 and 29, 2014. |
Department of Psychiatry.
``Covariate Balancing
Propensity Score for General Treatment
Regimes.'' Presentation
Slides. Mailman School of Public Health, Columbia
University, October 14, 2014. |
Joint Statistical Meetings. ``Covariate Balancing
Propensity Score for General Treatment Regimes.'' Presentation
Slides. Invited Session, Boston, August 7,
2014. |
The Society of Political Methodology
Summer Conference. ``A
New Automated Redistricting Simulator Using Markov Chain Monte
Carlo.'' Presentation
Slides. University of Georgia, July 25,
2014. |
College of Liberal Arts.
``Statistics and Social Sciences.''
University of Tokyo, July 7, 2014. |
Department of Advanced Social and
International Studies.
``Can Civilian Attitudes
Predict Civil War Violence?.'' University of Tokyo,
July 7, 2014. |
Invited Panel, ISNIE.
``A New Automated Redistricting.''
Duke Law School, June 20, 2014. |
Summer Institute, Empirical Implications
of Theoretical Models.
``Unpacking
the Black Box: Learning about Causal Mechanisms from
Experimental and Observational
Studies.'' Presentation
Slides. Duke University, June 19,
2014. |
Department of Government.
``Neighborhood Effects, Redistricting, and
American Political Geography.'' Dartmouth College,
June 7, 2014. |
Department of Government.
``Visualizing Data.'' Dartmouth
College, June 7, 2014. |
Department of Government.
``Quantitative Social Science at
Princeton.'' Dartmouth College, June 6,
2014. |
Science Expo.
``Finding Patterns in Random
Things.'' Littlebrook Elementary School, May 22,
2014. |
Graduate School of Education. ``Unpacking the
Black Box: Learning about Causal Mechanisms from
Experimental and Observational Studies.'' Presentation
Slides. The University of Pennsylvania, May 8,
2014. |
Conference on Identifying and Addressing
Challenges in Survey Research. ``Survey Methodologies
for Sensitive Questions.'' Center for the Study of
Democratic Studies, May 2, 2014. |
Computational Social Science Group. ``Redistricting, Voter
Files, and American Political Geography.''
Microsoft Research New York, April 29, 2014. |
Invited Speaker, International Meeting in
Experimental and Behavioral Social Sciences. ``Unpacking the
Black Box: Learning about Causal Mechanisms from Experimental
and Observational Studies.'' Presentation
Slides. University of Oxford, April 11,
2014. |
Department of Statistics and
Biostatistics. ``Covariate Balancing
Propensity Score.'' Presentation
Slides. Rutgers University, April 2,
2014. |
Causal Inference Workshop ``Statistics and Causal
Inference.'' Presentation
Slides. The Institute of Political Science,
Academia Sinica, February 25 - 27, 2014. |
The Fellowship of Woodrow Wilson Scholars.
``Unpacking the
Black Box: Learning about Causal Mechanisms from Experimental
and Observational Studies.'' Presentation
Slides. Princeton University, February 17,
2014. |
The Bobst Center for Peace and Justice.
``Unpacking the
Black Box: Learning about Causal Mechanisms from Experimental
and Observational Studies.'' Presentation
Slides. Princeton University, January 14,
2014. |
Asian Political Methodology Meeting.
``Can Civilian
Attitudes Predict Civil War Violence?.''
Presentation
Slides. Tokyo Institute of Technology, January
6, 2014. |
Keynote Address, Annual Conference of the
Australian Society for Quantitative Political
Science. ``Can
Civilian Attitudes Predict Civil War Violence?.''
Presentation
Slides. University of Sydney, December 9,
2013. |
Swiss Institute for Empirical Economic
Research. ``Covariate
Balancing Propensity Score.'' Presentation
Slides. University of St. Gallen, Switzerland,
October 29, 2013. |
Department of Biostatistics and Medical
Informatics. ``Covariate Balancing
Propensity Score.'' Presentation
Slides. University of Wisconsin, Madison, October
18, 2013. |
APSA Short
Course. ``Unpacking
the Black Box: Learning about Causal Mechanisms from
Experimental and Observational
Studies.'' Presentation
Slides. Annual Meeting of the American Political
Science Association, Chicago, Illinois. August 28,
2013. |
Joint Statistical Meetings. ``Robust Estimation of
Inverse Probability Weights for Marginal Structural
Models.'' Presentation
Slides. Invited Session. Montreal, Canada. Aug
5, 2013. |
School of Political Science and
Economics. ``Estimating
Neighborhood Effects on Turnout from Geocoded Voter
Registration Records.'' Presentation
Slides. Waseda University, July 11,
2013. |
Department of Political Science and
International Relations. ``Estimating
Neighborhood Effects on Turnout from Geocoded Voter
Registration Records.'' Presentation
Slides. Seoul National University, July 4,
2013. |
Atlantic Causal Inference
Conference. ``Robust
Estimation of Inverse Probability Weights for Marginal
Structural Models.'' Presentation
Slides. School of Public Health, Harvard
University. May 21, 2013. |
Peabody Research Institute. ``Covariate Balancing
Propensity Score.'' Presentation
Slides. Vanderbilt University, May 9,
2013. |
Department of Political Science. ``Estimating
Neighborhood Effects on Turnout from Geocoded Voter
Registration Records.'' Vanderbilt University,
May 8, 2013. |
Center for the Study of Social
Organization. ``Estimating
Neighborhood Effects on Turnout from Geocoded Voter
Registration Records.'' Princeton University,
May 8, 2013. |
Workshop for the Society Research on
Educational Effectiveness Spring Conference. ``Workshop on Covariate
Balancing Propensity Score.'' Presentation
Slides. Washington D.C. March 6, 2013. |
Department of Political Science. ``Comparing and
Combining List and Endorsement Experiments: Evidence
from Afghanistan.'' Presentation
Slides. University of Michigan. March 1,
2013. |
Department of Economics. ``Robust Estimation of
Inverse Probability Weights for Marginal Structural
Models.'' Presentation
Slides. University of Michigan. February 28,
2013.
|
Department of Political Science. ``Matching and Weighting
Methods for Causal Inference.'' Presentation
Slides. Duke University. January 18 and 19,
2013.
|
Center for Education Research. ``Identification and
Sensitivity Analysis for Multiple Causal Mechanisms:
Revisiting Evidence from Framing Experiments.''
Presentation
Slides. University of Wisconsin, Madison.
December 7, 2012. |
Center for Education
Research. ``Unpacking
the Black Box: Learning about Causal Mechanisms from
Experimental and Observational
Studies.'' Presentation
Slides. University of Wisconsin, Madison. December
6, 2012. |
Experiments in Governance and Politics
Conference. ``Covariate
Balancing Propensity
Score.'' Presentation
Slides. Stanford University. November 3,
2012. |
Annual Meeting of the Japanese Political
Science Association. ``Comparing and
Combining List and Endorsement Experiments: Evidence from
Afghanistan.'' Presentation
Slides. Kyusyu University. October 7,
2012. |
Experimental Research Workshop. ``Comparing and
Combining List and Endorsement Experiments: Evidence from
Afghanistan.'' Presentation
Slides. Princeton University. September 28,
2012. |
ACF/OPRE Methods Meeting. ``The Essential Role
of Pair Matching in Cluster-Randomized Experiments, with
Application to the Mexican Universal Health Insurance
Evaluation.'' Presentation
Slides. Department of Health and Human
Services, Washington D.C. September 6, 2012. |
Joint Statistical
Meetings. ``Covariate
Balancing Propensity
Score.'' Presentation
Slides. San Diego. August 2,
2012. |
Causal Inference
Symposium. ``Identification
and Sensitivity Analysis for Multiple Causal Mechanisms:
Revisiting Framing
Experiments.'' Presentation
Slides. University of Jena, Germany. July 25,
2012. |
Political Methodology Summer
Meeting. ``Covariate
Balancing Propensity
Score.'' Presentation
Slides. University of North Carolina, Chapel
Hill. July 19, 2012. |
The 2nd Institute of Mathematical
Statistics Asia Pacific Rim Meeting
``Statistical Analysis of
List
Experiments..'' Presentation
Slides. Tsukuba City, Japan. July 4,
2012. |
Empirical Implications of Theoretical
Models Summer Institute. ``Statistics and
Causal Inference.'' Presentation
slides. Department of Politics, Princeton
University. June 25-27, 2012. |
Causal Inference Symposium. ``Covariate Balancing
Propensity Score.'' Presentation
Slides. New Jersey Chapter, American Statistical
Association. June 8, 2012. |
Research Department. ``Covariate Balancing
Propensity Score.'' Presentation
Slides. Inter-American Development Bank. June 1,
2012. |
Research Department. ``Unpacking the Black
Box: Learning about Causal Mechanisms from Experimental and
Observational Studies.'' Presentation
Slides. Inter-American Development Bank. June 1,
2012. |
Atlantic Causal Inference Conference. ``On the Use of
Linear Fixed Effects Regression Models for Causal
Inference.'' Presentation
Slides. Bloomberg School of Public Health,
Johns Hopkins University.
May 24, 2012. |
Department of Political Science. ``On the Use of
Linear Fixed Effects Regression Models for Causal
Inference.'' Presentation
Slides. Washington University in St. Louis.
April 27, 2012. |
Methodology Institute. ``Using Survey Experiments
to Measure Support for Combatants in Afghanistan.''
Presentation
Slides. London School of Economics and Political
Science. March 15, 2012. |
Read to the Ordinary
Meeting organized by the Research Section. ``Experimental Designs for
Identifying Causal Mechanisms.'' Presentation
Slides. Royal Statistical Society, London. March 14,
2012. |
Workshop for the Society Research on
Educational Effectiveness Spring Conference. ``Workshop on Causal
Mediation Analysis.'' Presentation
Slides. Washington D.C. March 8, 2012. |
Department of Statistics. ``Covariate Balancing
Propensity Score.'' Presentation
Slides. University of California, Los Angeles.
March 6, 2012. |
Department of Political Science. ``Eliciting Truthful
Responses to Sensitive Questions.'' Presentation
Slides. University of California, Los Angeles.
March 5, 2012. |
Department of
Government. ``Unpacking
the Black Box: Learning about Causal Mechanisms from Experimental
and Observational
Studies.'' Presentation
Slides. Dartmouth College. February 23,
2012. |
Department of Political
Science. ``Unpacking
the Black Box: Learning about Causal Mechanisms from Experimental
and Observational
Studies.'' Presentation
Slides. University of Southern California. January
23, 2012. |
International Conference on Quantitative
Political
Science. ``Understanding
and Improving Linear Fixed Effects Regression Models for Causal
Inference.'' Presentation
Slides. School of Law, Gakusyuin University, Tokyo
Japan, January 6, 2012. |
DC Comparative Politics Research
Seminar. ``Understanding
and Improving Linear Fixed Effects Regression Models for Causal
Inference.'' Presentation
Slides. Research Department, Inter-American
Development Bank, Washington D.C. December 9, 2011. |
Experiments in Governance and Politics
Conference. ``Understanding
and Improving Linear Fixed Effects Regression Models for Causal
Inference.'' Presentation
Slides. Massachusetts Institute of
Technology. November 5, 2011. |
Department of
Politics. ``Unpacking
the Black Box: Learning about Causal Mechanisms from Experimental
and Observational
Studies.'' Presentation
Slides. University of Virginia. November 2,
2011. |
Prevention Science & Methodology Group. ``Experimental Designs for
Identifying Causal Mechanisms.'' Presentation
Slides. University of Miami. October 18,
2011. |
Political Methodology
Colloquium. ``Understanding
and Improving Fixed Effects Regression Models for Causal
Inference.'' Presentation
Slides. Princeton University September 30,
2011. |
Workshop for the Society Research on
Educational Effectiveness Fall
Conference. ``Workshop
on Causal Mediation
Analysis.'' Presentation
Slides. Washington D.C. September 8,
2011. |
Annual Meeting of the American Political
Science
Association. ``Policy
Positions in Mixed Member Electoral Systems: Evidence from
Japan.'' Presentation
Slides. Seattle, Washington. September 1,
2011. |
Joint Statistical
Meetings. ``Experimental
Designs for Identifying Causal
Mechanisms.'' Presentation
Slides. Miami Beach, Florida. August 2, 2011. |
Empirical Implications of Theoretical
Models Summer Institute. ``Identification and
Causal Inference.'' Presentation
slides. University of Chicago, Harris School of Public
Policy. June 27 - 29, 2011. |
Northeast Methodology
Program. ``Statistical
Analysis of Endorsement Experiments: Measuring Support for
Militant Groups in
Pakistan..'' Presentation
Slides. New York University. May 13,
2011. |
West Coast Experiment
Conference. ``Statistical Analysis of
Endorsement Experiments: Measuring Support for Militant Groups in
Pakistan..'' Presentation
Slides. California Institute of Technology. May 6,
2011. |
Department of
Statistics. ``Statistical
Analysis of the Item Count
Technique.'' Presentation
Slides. University of California, Irvine, May 4
2011. |
Professional Development
Workshop. ``How to Conduct and
Present Statistical
Research.'' Presentation
Slides. Department of Politics, Princeton. April 29,
2011. |
Annual Meeting of the Midwest Political
Science
Association. ``Statistical
Analysis of List
Experiments.'' Presentation
Slides. Chicago, March 31 2011. |
Experimental Political Science
Conference. ``Statistical
Analysis of List
Experiments.'' Presentation
Slides. Center for Experimental Social Science, New
York University, March 4 2011. |
Statistics and Machine Learning
Symposium. ``Political Methodology:
Applied Statistics in Political
Science.'' Presentation
Slides. Princeton University. February 18,
2011. |
American Politics Research
Seminar. ``Unpacking
the Black Box: Learning about Causal Mechanisms from Experimental
and Observations
Studies.'' Presentation
Slides. Harris School of Public Policy, The
University of Chicago. January 19, 2011. |
Institute for Policy
Research. ``Unpacking
the Black Box: Learning about Causal Mechanisms from Experimental
and Observations
Studies.'' Presentation
Slides. Northwestern University. January 18,
2011. |
Political Methodology Colloquium
``Statistical Analysis of
List
Experiments..'' Presentation
Slides. Princeton University. December 17,
2010. |
The Scholar as
Teacher. ``Teaching
Introductory Statistics in the Social Science
Departments..'' Presentation
Slides. McGraw Center for Teaching and Learning,
Princeton University. November 18, 2010. |
Center for the Study of Development Strategies. ``Measuring Political Support and Issue Ownership Using Endorsement Experiments, with Application to the Militant Groups in Pakistan..'' Presentation
Slides. Columbia University. November 5, 2010. |
Department of Mathematical Sciences. ``Statistical Analysis of List Experiments..'' Presentation
Slides. New Jersey Institute of Technology. October 29, 2010. |
Experiments in Governance and Politics Conference. ``Statistical Analysis of List Experiments..'' Presentation
Slides. New York University. October 9, 2010. |
Institute of Developing Economies. ``Eliciting Truthful Answers to Sensitive Survey Questions: New Statistical Methods for List and Endorsement Experiments.'' Presentation
Slides. Japan External Trade Organization. September 15, 2010. |
Institute of Statistical Mathematics. ``Unpacking the Black Box: Learning about Causal Mechanisms from Experimental and Observations Studies.'' Presentation
Slides. September 14, 2010. |
Annual Meeting of the American Political Science Association. ``A Statistical Method for Empirical Testing of Competing Theories.'' Presentation
Slides. Washington, D.C. September 3, 2010. |
Annual Meeting of the American Political Science Association. ``Discussion: Can We Get More Out of Experiments?.'' Presentation
Slides. Washington, D.C. September 4, 2010. |
Joint Statistical Meetings. ``Discussion of the Papers on the Extensions of Propensity Score'' Presentation
Slides. Vancouver. August 3, 2010. |
Society of Political Methodology Annual Summer Meeting. ``Eliciting Truthful Answers to Sensitive Survey Questions: New Statistical Methods for List and Endorsement Experiments.'' Presentation
Slides. University of Iowa. July 23, 2010. |
International Forum on Statistics and Society. ``A Bayesian Measurement Model of Political Support for Endorsement Experiments, with Application to the Militant Groups
in Pakistan.'' Presentation
Slides. School of Statistics, Renmin University of China. July 12, 2010. |
School of Political Science and Economics. ``Eliciting Truthful Answers to Sensitive Survey Questions: New Statistical Methods for List and Endorsement Experiments.'' Presentation
Slides. Waseda University. July 6, 2010. |
Department of Global Health Policy. ``Eliciting Truthful Answers to Sensitive Survey Questions: New Statistical Methods for List and Endorsement Experiments.'' Presentation
Slides. University of Tokyo. July 5, 2010. |
Atlantic Causal Inference Conference. ``Experimental Identification of Causal Mechanisms.'' Presentation
Slides. Steinhardt School of Culture, Education, and Human Development, New York University. May 21, 2010. |
Center on Democracy, Development, and the Rule of Law. ``Randomized Evaluation of the Mexican Universal Health Insurance Program: Substantive and Methodological Findings.'' Presentation
Slides. Stanford University. April 27, 2010. |
Department of Political Science. ``A Statistical Method for Empirical Testing of Competing Theories.'' Presentation
Slides. University of California, Berkeley. April 14, 2010. |
Department of Biostatistics. ``Experimental Identification of Causal Mechanisms.'' Presentation
Slides. University of California, Berkeley. April 13, 2010. |
Institute for Policy and Social Research.``Toward A Common Framework for Statistical Analysis and Development..'' Presentation
Slides. University of Kansas. April 2, 2010. |
Department of Mathematics and Statistics. ``Experimental Identification of Causal Mechanisms.'' Presentation
Slides. University of Maryland, Baltimore County. March 26, 2010. |
International Conference on the
Frontier of Quantitative Political
Science. ``A Mixture
Modeling Approach for Empirical Testing of Competing
Theories.'' Presentation
Slides. Gakusyuin University. January 8,
2010. |
Experiments in Governance and Politics Conference. ``Experimental Identification of Causal Mechanisms.'' Presentation
Slides. Columbia University. October 17, 2009. |
Japanese Political Science Association Annual Meeting. ``Statistical Analysis of Causal Mechanisms.'' Presentation
Slides. Nippon University. October 12,
2009. |
International Symposium on Experimental Social Sciences. ``New Statistical Methods and Experimental Designs for the Identification of Causal Mechanisms.'' Presentation
Slides. University of Tokyo, Japan. October 9, 2009. |
The 2009 Joint Statistical Meetings. ``A General Approach to
Causal Mediation Analysis.'' Presentation
Slides. Washington DC. August 6, 2009. |
The Annual Summer Political Methodology Meeting. ``Political
Methodology and Statistics.'' Presentation
Slides. Yale University, July 25,
2009. |
Conference on Quantitative Social Science Research Using R. ``Causal Mediation Analysis in R.'' Presentation
Slides. Fordham University, June 18,
2009. |
Department of Statistics. ``Planning the Optimal
Get-out-the-vote Campaign Using
Randomized Field Experiments.'' Presentation
Slides. University of Wisconsin, Madison. April 15,
2009. |
Institute of Behavioral
Science. ``Use of Matching Methods for Causal
Inference in Experimental and
Observational Studies.'' Presentation
Slides. University of Colorado, Boulder, April 13,
2009. |
Department of Political Science. ``Statistical Analysis
of Causal Mechanisms.'' Presentation
Slides. University of Colorado, Boulder, April 13,
2009. |
Department of Political Science. ``Statistical Analysis
of Causal Mechanisms.'' Presentation
Slides. University of Notre Dame, February 27
2009. |
Department of Political Science. ``Statistical Analysis
of Causal Mechanisms.'' Presentation
Slides. Columbia University, January 30
2009. |
Department of Political Science.
``One Day Short Course on Statistical Methods
for Causal Inference.'' Rice University, January 23
2009. |