The Summer 2026 Tech Economics Webinar Series is back! Join leading economists, data scientists, and researchers for four free webinars exploring some of the most exciting developments at the intersection of economics, data science, causal inference, and artificial intelligence.





Rethinking the Classics: Enhancing the Causal Rigor of MMMs and Attribution
Tuesday, June 23rd, 1-2pm ET (10-11am PT)

Come learn about the latest methodological advancements in estimating the impact of ad spend. Join experts from Meta and Haus to explore cutting-edge approaches to combining experiment-based incrementality with attribution and Marketing Mix Models (MMMs).

Speakers:

• Robert Moakler – Research Scientist, Meta
• Phil Erickson – Head of Science Strategy, Haus
• Moderator: Ayal Chen-Zion – Staff Data Scientist, Netflix

Using LLMs to Simulate Real-World Behavior
Thursday, July 16, 1-2pm ET (10-11am PT)

Can we responsibly use LLMs to replicate human survey and purchase behavior? How might we anchor or debias our estimates using a smaller amount of real-world data? What are the “catches” that we might miss along the way? Join experts in methods, application, and theory to discuss the state of progress.

Speakers:

• Ben Maier – Principal Data Scientist, PyMC Labs
• Luca Fiaschi – Chief Data & AI Officer, PyMC Labs
• Jiaxuan Li – Principal Economist, Amazon
• George Gui – Assistant Professor, Columbia
• Moderator: Colin Gray - Senior Data Scientist, Netflix
 

Causal Judge Evaluation: Moving Beyond Correlation in AI Evaluation
Thursday, August 27th, 2-3pm ET (11-12am PT)

How do we ensure our automated judges are making the right decisions rather than just providing plausible scores? While LLM-based evaluation can scale quickly, standard correlation metrics often fail to capture real-world performance. Eddie Landesberg introduces the Causal Judge Evaluation (CJE) framework, demonstrating how to calibrate automated metrics using human-verified oracle labels. Join us to learn how to move toward more robust, audit-ready evaluation systems that prioritize decision quality.

Speakers:

• Eddie Landesberg – Staff Data Scientist, Google
• Moderator: Xiaoman Luo - Senior Data Scientist, Roblox

Using AI Agents for Automated Research
Thursday, September 17, 1-2pm ET (10-11am PT)

Can we use AI agents to generate more reliable, replicable research? What could go right, and what could go wrong? Scott Cunningham will give his take on where we are and where we’re going.

Speakers:

• Scott Cunningham: Professor, Baylor University
• Moderator: Colin Gray - Senior Data Scientist, Netflix