Activities & Events

The PCI Lab hosts a causal learning group consisting of students and faculty from diverse disciplines including statistics, epidemiology, political science, sociology, computer science, and more. Meetings are typically held on Fridays from 11:00 am – 12:15 pm PST. If you are interested in joining us, click here to be added to our email distribution list.

Additionally, you can find a listing of past and upcoming events
below.

2025

November 21

Causal Inference, Data Integration, Small and Large Data, and Scalable Estimation

Causal Learning Group

Michele Santacatterina

November 14

Measurement Error Corrections Using Control Variates (with Applications to Children's Health)

Causal Learning Group

Kevin Josey

November 7

Causally Selected Covariates for Regression Calibration

Casual Learning Group

Wenze Tang

October 31

Causal Inference in the Context of PAC Contributions & School Shootings

Causal Learning Group

Takuma Iwasaki , Eric Baldwin

October 24

On the Structural Basis of Conditional Ignorability

Causal Learning Group

Drago Plecko

October 17

Reliable and Effective Data Fusion

Causal Learning Group

Sijia Li

October 10

Average Direct and Indirect Causal Effects of Persuasion

Causal Learning Group

Wenlu Xu

June 6

Heterogeneous treatment effects (co-hosted with UCLA IDS Lab)

CAUSAL LEARNING GROUP

Duy Pham, Roch Nianogo, Jiahui Xu

May 30

Selection bias and missing data

CAUSAL LEARNING GROUP

Maya Mathur

May 23

Innovations in causal inference methods

CAUSAL LEARNING GROUP

Chad Hazlett, Borna Bateni