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Program

*all times are US-Pacific time zone

Updated: September 15, 2022

Sunday, November 6


8:00 AM - 4:00 PM Industry Job Fair - Interviews

2:00 PM - 2:50 PM Outlook for Economist Careers in Tech
Pat Bajari, Vice President, Core AI and Chief Economist, Amazon
Kirti Gupta
, Vice President, Economic Strategy and Chief Economist, Qualcomm
Max Schmeiser, Vice President, Studio and Content Data Science & Engineering, Netflix

3:00 PM - 3:50 PM       Concurrent Sessions

Track I – Impact of Social Networks on Economic Mobility
Michael Bailey, Economic Geographer, Meta
Other speakers TBA

Track II – I'm a Recruiter: Ask Me Anything!
 
Renee Dubuque, Senior Technical Recruiter - Amazon
Other speakers TBA

Track III – Sustainability
Speakers TBA

4:00 PM - 4:30 PM  Privacy Preserving Advertising
Harikesh Nair, Director, Data Science, Ads Measurement, Google; Jonathan B. Lovelace Professor of Marketing, Stanford University Graduate School of Business

4:30 PM - 5:30 PM NBER Session: Innovation Policy
Benjamin Jones, Professor of Strategy, Kellogg School, Northwestern University
Danielle Li, Associate Professor, MIT Sloan School of Management
Moderator: Jim Poterba, Mitsui Professor of Economics, MIT; President, NBER

5:30 PM - 6:45 PM Reception hosted by Amazon
Location TBD


7:00 PM - 8:15 PM Small Group Dinners (registration required; more information will be sent out to all registered conference attendees)

Monday, November 7


8:00 AM - 4:00 PM Industry Job Fair - Interviews

8:15 AM - 9:00 AM Poster Session I

8:15 AM - 9:00 AM Poster Session II

9:00 AM - 9:05 AM Welcome Remarks

9:05 AM - 9:50 AM Data Science for Decision Making
Matt Taddy, VP Amazon Private Brands, Amazon
Moderator: Wilko Schulz-Mahlendorf, Chief Economist, Head of Pricing Science, Wayfair

9:55 AM - 10:45 AM Evolving Labor Market and Workplace in the Wake of Covid
Karin Kimbrough, Chief Economist, LinkedIn
Lisa Simon, Senior Economist, Revelio Labs

10:45 AM - 11:15 AM Networking Break
11:15 AM - 12 :15 PM Concurrent Sessions

Track I – Advances in Forecasting
Paul Sangrey, Economist II, Amazon
Ida Johnsson, Senior Economist, Forecasting and Risk, Zillow

Track II – Organizational Economics: Using Economics and AI to Improve the Employee Experience
Dara Lee Luca, Senior Economist, Amazon

Track III – Data Storytelling
Ben Casselman, Economics and Business Correspondent, The New York Times
Skylar Olsen, Chief Economist, Zillow

12:15 PM - 1:40 PM         Luncheon/Keynote
Guido Imbens, Nobel Laureate; The Applied Econometrics Professor and Professor of Economics, Stanford Graduate Business School

1:45 PM - 2:45 PM        Concurrent Sessions

Track I – Topics in Internet Advertising
Yuan Deng, Research Scientist, Google
Matt Harding, Professor of Economics and Statistics, UC Irvine

Track II – Selecting the Right Business Metrics: Pitfalls and Opportunities
Ayal Chen-Zion, Principal Economist, Convoy
Emma Zetterdahl,
 Senior Manager, Economics Research, Spotify Research
Lee Richardson, YouTube Data Science
Joe Orsini, Senior Manager, Applied Science, Uber
Moderator: Jeff Ferris, Program Strategy Lead, Microsoft

Track III – Diversity in Tech

2:45 PM - 3:15 PM        Networking Break
3:15 PM - 4:05 PM        General Session TBD
Isaiah Andrews, George Fisher Baker Professor of Economics, Harvard University; Research Associate, NBER; Fellow, Econometric Society; Co-Editor, American Economic Review

4:10 PM - 4:45 PM  Web3/Crypto
Moderator: Gordon Liao, Chief Economist, Circle

6:00 PM - 7:30 PM       Reception

7:30 - 9:00 PM ECON ROCK!
Timber Room - Seattle



Tuesday, November 8


8:00 AM - 4:00 PM Industry Job Fair - Interviews

8:15 AM - 9:00 AM Better Healthcare Outcomes Through AI
Avi Goldfarb, Rotman Chair in Artificial Intelligence and Healthcare and Professor of Marketing, University of Toronto's Rotman School of Management
Ziad Obermeyer, Associate Professor and Blue Cross of California Distinguished Professor, Berkeley School of Public Health

9:05 AM - 9:45 AM A View from the Federal Reserve Board of Governors
Philip Jefferson, Member, Board of Governors of the Federal Reserve System

9:50 AM - 10:35 AM People Analytics: Bringing Economics to Human Resources
Justine Hastings, Chief of People-Centered Science, VP HR Science, Amazon
Svenja Gudell, Chief Economist, Indeed

10:35 AM - 11:20 AM Networking Break/Small Informal Discussions

10:40 AM - 11:15 AM
Talk 1 A Career in Tech - The First Five Years
Colin Gray, Principal Economist, Wayfair
Allyson Root, Senior Economist, Manager, HR Science, Amazon
Rose Tan,
Economist and Senior Software Engineer, Machine Learning, LinkedIn
Robert Donnelly,
 Machine Learning Scientist, Arena AI

Talk 2 Thinking of Jumping from Academia to Industry?
Olanrewaju Michael Akande, Research Scientist, Statistics and Privacy, Meta
Peter Coles
, Data Science Lead, Central Strategy and Insights, Airbnb

Talk 3 Manager or Senior IC? Navigating Midcareer Decisions
Kyle Kretschman, Head of Economics, Spotify
Vincent Martin, Research Scientist Manager - Economics and Financial Engineering, Meta
Duncan Gilchrist, Vice President, Data Science & Engineering, Gopuff

Talk 4 Transitioning to Tech from Other Sectors
Mona Birjandi, Principal Economist, Petco
Randeep Kaur, Senior Product Manager, Data Science, Amazon
Max Perez Leon Quinoso, Economist, Finance Operations, Amazon
Andrea Guglielmo, Senior Manager, Economist, Wayfair

Talk 5 Topic TBD
Talk 6 Topic TBD

11:20 AM - 12:15 PM Concurrent Sessions

Track I – Platform Design and Network Effects
Ben Casner, Economist
Vitoria Rabello de Castro
, Senior Economist, Keystone
Jill Furzer
, Senior Economist, Keystone
Si Zuo, NBA 6955 Industrial Organization, Consulting and Business Strategy Instructor, Cornell Johnson Graduate School of Management

Track II – Causal Inference: Advances in Methodologies
Ignacio Martinez, Staff Economist, Google
Wenjing Zheng, Staff Data Scientist Experimentation and Causal Inference, Netflix
Kevin Jiafeng Chen, PhD Student, Harvard Business School

Track III – Creating Economics and Data Science Initiatives 
Peter Gross, Head of Credit Science, Brex
Other speakers TBA

12:15 PM - 1:40 PM Luncheon/Keynote

1:45 PM - 2:40 PM Concurrent Sessions

Track I – Impact of AI on Worker Engagement and Growth 
Erik Brynjolfsson, Jerry Yang and Akiko Yamazaki Professor and Senior Fellow, Stanford Institute for Human-Centered AI (HAI); Director, Stanford Digital Economy Lab
Martin Fleming, Chief Revenue Scientist, Varicent; Fellow, The Productivity Institute, University of Manchester
Hal Varian, Chief Economist, Google
Moderator: Michael Luca, Lee J. Styslinger III Associate Professor of Business Administration, Harvard Business School

Track II – Discrimination & Fairness Testing in Tech
Dan Svirsky, Data Scientist (Legal Regulatory), Uber
Yinyin Yu, Applied Research Manager, Experimentation & Causal Inference, LinkedIn
Bennett Borden, Partner, Faegre Drinker
Jacob Appel, Chief Strategist, ORCAA

Track III – Causal Inference at Scale
Brent Cohn, Senior Data Science Manager, Experimentation and Causal Inference, Twitter
Emre Kiciman, Senior Principal Researcher, Microsoft Research
Sergey Gitlin, Senior Staff Applied Scientist, Uber

2:40 PM - 2:50 PM Coffee Break
2:50 PM - 3:40 PM Advances in Measuring Real-Time Economic Data
Qing Wu, Principal Economist, Google
Daniel Silverman, Senior Principal Economist, Amazon
Ben Zweig, CEO, Revelio Labs

3:40 PM - 4:15 PM General Session TBD

4:15 PM         Adjourn  

 

 

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Advance In-Person Registration*:

NABE Member*: $575
U.S. Gov't Employee: $575
Non-Member* (incl. one-year membership): $725

NABE Student Member** (no meals): $50
Student Non-Member** (no meals; incl. one-year membership): $80


*Advance Deadline: November 2, 2022; rates will increase after this date.
**Must be a full-time student and can only be working part-time; copy of student ID will be required.

Register now


Virtual Registration*:

NABE Member: $275
U.S. Gov't Employee: $325
Non-Member (incl. one-year membership): $425

NABE Student Member**: $50
Student Non-Member** (one-year membership): $80

*Virtual registration includes access to general sessions only; concurrent sessions not included.
**Must be a full-time student and can only be working part-time; copy of student ID will be required.

Register now

 

Industry Job Fair:


Candidates: 

All registered conference attendees have opportunity to submit resumes; see registration confirmation email for more details.

Not attending TEC2022 but still want to submit resume? Pay $15 for resume submission only.

Employers: 
Virtual Recruiter Package: $275
Onsite Recruiter Package: $400
Onsite Recruiter with Booth Package: $1,750

More Info