Causal Science Conference 2022
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On November 14th, the Stanford Causal Science Center (SC²) held a one-day conference at the Koret-Taube Conference Center at the SIPER Building.
The program consisted of a day of presentations and posters by Stanford graduate students and postdoctoral scholars working on a breadth of causal science topics, from methodology to applications. This event served as an opportunity for the community to learn more about the breadth of work happening at Stanford, to forge new connections, and ultimately to help shape a shared path for the future success of SC².
Agenda
Welcome 9:00AM - Guido Imbens
| Session 1 | 9:15-10:15 AM | |
|---|---|---|
| Ambarish Chattopadhyay | Stanford Data Science | Balanced and Robust Randomized Treatment Assignments: The Finite Selection Model for the Health Insurance Experiment and Beyond |
| Evan Munro | GSB Economics | Causal Inference in Equilibrium |
| Roshni Sahoo | Computer Science | Policy Learning with Competing Agents |
| Nick Gardner | Classics, Computer Science | Testing Compatibility of Causal Models With (Historical) Data Under Missingness Not at Random |
| Session 2 | 10:30 AM - 11:45 AM | |
|---|---|---|
| Qian Zhao | Biomedical Data Science | Selecting genetic variants using knockoffs under collider bias |
| Johannes Ferstad | Management Science & Engineering | Building, Evaluating, and Improving Remote Patient Monitoring |
| Felix Michalik | Medicine | Assessing the Real-Life Effect of the HPV Vaccine: A Regression Discontinuity Design Approach using Danish Electronic Health Records Data |
| Max-Emil King | Political Science | Bound by Borders: Voter Mobilization through Social Networks |
| Takuma Iwasaki | Law School | “None of My Business Anymore”: Prosecutors Bring Charges More Frequently When Another Prosecutor Handles the Subsequent Trial Process |
Lunch: 11:45 AM - 1 PM
|
Session 3 |
1:00-2:00 PM | |
|---|---|---|
| Yujin Jeong | Statistics | Calibrated inference: statistical inference that accounts for both sampling uncertainty and distributional uncertainty |
| Lea Bottmer | Economics | A Design-Based Perspective on Synthetic Control Methods |
| Ying Jin | Statistics | Sensitivity analysis under the f-sensitivity models: a distributional robustness perspective |
| David Ritzwoller | Graduate School of Business, Economics | Probably Honest Confidence Intervals |
| Session 4 | 2:15-3:15 PM | |
|---|---|---|
| Kevin Han | Statistics | Detecting Interference in Sequential A/B Testing |
| Erin Craig | Biomedical Data Science | Finding and assessing treatment effect sweet spots in clinical trials |
| Scott Fleming | Biomedical Data Science | Evaluating Treatment Prioritization Rules with Rank-Weighted Average Treatment Effects |
| Jason Weitze | Economics | Attribution and Causality |
Poster Session & Reception 3:15pm - 5:00pm