Bryan S. Graham

Second CAMSE-CLIMB Mini-Conference

On Friday February 21st, 2025 the Center for the Application of Mathematics and Statistics to Economics (CAMSE) and the Center for the Theoretical Foundations of Learning, Inference, Information, Intelligence, Mathematics and Microeconomics at Berkeley (CLIMB) will host one day mini-conference. The goal is to gather campus researchers at the intersection of economics, machine learning and statistics. Attendence is open to anyone from the Berkeley data science communities (broadly and inclusively defined). Registration is not required. Just come!

The conference will be held in room 250 of Sutardja Dai Hall on the north side of the UC Berkeley campus (close to the North Gate of campus).

A preliminary conference program can be found below.

Second CAMSE-CLIMB Mini-Conference

Organizers
Bryan Graham
With special thanks to:
Naomi Yamasaki

Friday, February 21st, 2025

250 Sutardja Dai Hall

Morning Session: Students & Post-Docs Speakers, 9:40AM to 12:00PM

Time Speaker Title
9:40AM to 10:00AM Sara Neff, UC - Berkeley, Economics Model complexity and restrictiveness
10:00AM to 10:20AM Lea Bottmer, Stanford, Economics Synthetic control in disaggregated data settings
10:20AM to 10:40AM Kunhe Yang, UC - Berkeley, Computer Science Leakage-robust Bayesian persuasion
10:40AM to 11:00AM Break  
11:00AM to 11:20AM Kaitlyn J. Lee, UC - Berkeley, Biostatistics RieszBoost: gradient boosting for Riesz regression
11:20AM to 11:40AM Amar Venugopal, Stanford, Economics Causal inference on outcomes learned from text
11:40AM to 12:00PM Jason Weitze, Stanford, Economics A predictive approach to structural identification

Afternoon Session: Faculty Speakers, 2:00PM to 5:45PM

Time Speaker Title
    Session 1: Policy Analysis and Evaluation
2:00PM to 2:30PM Guido Imbens, Stanford, GSB & Economics Causal panel data models
2:30PM to 3:00PM Quitze Valenzuela-Stookey, UC - Berkeley, Economics Mechanism reform: an application to child welfare
3:00PM to 3:30PM Break  
    Session 2: Causal Inference and Networks
3:30PM to 4:00PM Mengsi Gao, Berkeley, Econommics Endogenous interference in randomized experiments
4:00PM to 4:30PM Lihua Lei, Stanford, GSB Causal clustering: design of cluster experiments under network interference
4:30PM to 4:45PM Break  
    Session 3: Distinguished Guest Speaker
4:45PM to 5:45PM Elena Manresa, NYU, Economics Adversarial Method of Moments