

- Feb 25, 2022
Marc Ratkovic, "Utilizing Machine Learning for Valid Causal Inference"
International Methods Colloquium on February 25, 2022. Marc Ratkovic (Princeton University) presented a talk entitled "Relaxing Assumptions, Improving Inference: Utilizing Machine Learning for Valid Causal Inference." The paper is available at this link. The slides are available at this link.


- Feb 18, 2022
Theresa Gessler, "Wikipedia as Big Data for Political Research"
International Methods Colloquium on February 18, 2022. Theresa Gessler (University of Zurich) presented a talk entitled "Wikipedia as Big Data for Political Research." The slides are available at this link.


- Feb 11, 2022
Naoki Egami, "Causal Peer Effects Using Double Negative Controls for Unmeasured Network Confounding"
International Methods Colloquium on February 11, 2022. Naoki Egami (Columbia University) presented a talk entitled "Identification and Estimation of Causal Peer Effects Using Double Negative Controls for Unmeasured Network Confounding." The paper is available at this link. The slides are available at this link.


- Feb 7, 2022
Boydstun and Feezell, "A method to assess semantic validity & bias when coding open-ended responses"
International Methods Colloquium on February 4, 2022. Amber Boydstun (University of California, Davis) and Jessica Feezell (University of New Mexico) presented a talk entitled "Self-coding: A method to assess semantic validity and bias when coding open-ended responses."
The paper is available at this link. The slides are available at this link.