No content found

No content found


Check back for program updates!

Sunday, November 3

1:00 PM - 4:00 PM  Career Fair - Interviews  

3:00 PM - 3:50 PM  Outlook for Economist Careers in Tech  

3:50 PM - 4:40 PM  Opening Keynote 
Ed Glaeser, Fred and Eleanor Glimp Professor of Economics at Harvard University

4:40 PM - 5:30 PM Diversity in Tech and Economics
Susan Athey, The Economics of Technology Professor at the Stanford Graduate School of Business
Tracy Chou, Co-Founder, Project Include
Emily Glassberg Sands, Senior Director of Data Science, Coursera

5:30 PM - 6:30 PM  Cocktail Reception
Exhibit Hall

6:30 PM - 8:00 PM  Small Group Dinners  
Area Restaurants
Small Group Dinner registration will be available for registered attendees in the weeks ahead of the conference. 

8:00 PM - 9:30 PM  Happy Hour Gathering

Monday, November 4

8:00 AM - 11:00 AM  Career Fair - Interviews  

8:00 AM - 8:55 AM Poster Presentations  

9:00 AM - 9:50 AM  Experiments and ML 
Susan Athey, The Economics of Technology Professor at the Stanford Graduate School of Business
Dominic Coey, Economic Research Scientist, Facebook Research

9:50 AM - 10:35 AM  Tools from Cloud Computing Every Economist Should Know

10:35 AM - 11:00 AM  Poster Session / Networking Break / Expo in Exhibit Hall

11:00 AM - 12:00 PM Concurrent Sessions

Track I: Leveraging new data sources for economic analysis of emerging markets 
Florence Kondylis, Senior Economist, Development Impact Evaluation (DIME), World Bank Research Group

Track II: Tools and products for economists and data scientists 
Nick Kadochnikov, Distinguished Engineer, Cognitive Enterprise, Chief Analytics Office, IBM
Wes Wahlin
, Product Manager, Google Cloud TPU

Track III: Topic TBA

12:00 PM - 1:30 PM Luncheon / Keynote

1:35 PM - 2:35 PM Concurrent Session

Track I: All Companies are Tech Companies Now (AKA Digital Transformation outside of Tech) 

Track II: More Power! Methods to Increase Precision of Experiments 
Moshe Katzwer, Data Science Manager, Uber

Track III: Designing Reputation Systems 
Michael Luca, Lee J. Styslinger III Associate Professor of Business Administration, Harvard Business School
Dina Mayzlin, Professor of Marketing, USC Marshall School of Business
Steve Tadelis
, Professor of Economics, Business and Public Policy, Haas School of Business, UC Berkeley

2:35 PM - 3:00 PM  Poster Session / Networking Break / Expo in Exhibit Hall

3:00 PM - 3:50 PM   Causal Inference in Machine Learning Systems and Data Products
Victor Chernozhukov, Professor, Department of Economics + Center for Statistics, MIT

3:50 PM - 4:40 PM   AI, Transparency, and Algorithmic Bias 

4:40 PM - 5:30 PM   Using Big Private Data for Economic Measurement: Opportunities and Challenges
Erica Groshen, Visiting Senior Scholar, Cornell University, former BLS Commissioner
Claudia Sahm, Chief, Consumer and Community Development Research Section, Federal Reserve Board
Louise Sheiner
, The Robert S. Kerr Senior Fellow - Economic Studies, Brookings Institution
Moderator: David Wessel, Director, The Hutchins Center on Fiscal and Monetary Policy, Brookings Institution

6:00 PM - 7:30 PM  Offsite Reception  
Zillow Tower

7:30 PM - 9:00 PM  Networking Happy Hour

Tuesday, November 5

9:00 AM - 9:50 AM   Data Privacy
John Abowd, Chief Scientist, U.S. Census Bureau
John Kahan, Chief Data Officer, Microsoft
Shiva Kasiviswanathan, Computer Scientist, Amazon
Aleksandra Korolova, WiSE Gabilan Assistant Professor of Computer Science,  USC
Paul Liu, Principal Economist, Google

9:50 AM - 10:30 AM  Keynote
Erik Brynjolffson, Professor, MIT Sloan School of Management; Director, MIT Initiative on the Digital Economy

10:30 AM - 11:15 AM  Networking Break / Small Informal Group Talks  

Talk 1: The Value of Data for the Firms (And Where to Find It) 
Talk 2:  Topic TBA
Talk 3:  Topic TBA

11:15 AM - 12:15 PM Concurrent Sessions

Track I: PropTech
James Chung, Managing Director, StratoDem Analytics
Daryl Fairweather, Chief Economist, RedFin
Moderator: Frank Nothaft, CBE, Chief Economist, CoreLogic

Track II: New Areas for Experimentation: political science / social value / business & marketing
Min Gong, Principal Behavioral Scientist/ Data Scientist; Head of Applied Behavioral Science at Walmart

Track III: Transportation market design for consumers vs. businesses 
Duncan Gilchrist, Rider Pricing & Fares, Uber
Max Schmeiser, Head of Data Science, Convoy Inc

12:15 PM - 1:30 PM Luncheon with speaker Fireside Chat
Jeff Wilke, CEO, Amazon Worldwide Consumer
Interviewed by Erik Brynjolffson, Professor, MIT Sloan School of Management; Director, MIT Initiative on the Digital Economy

1:35 PM - 2:15 PM    AI and Machine Learning
Zoubin Ghahramani, Professor of Information Engineering at the University of Cambridge

2:15 PM - 3:00 PM  Data for the Public Good 
Skylar Olsen, Director of Economic Research, Zillow
Jacob Sagi, Professor of Finance and Wood Center in Real Estate Distinguished Scholar, UNC

3:00 PM - 5:00 PM  Optional Tour

No content found

No content found

No content found

No content found

No content found

Register Now

TEC2019 Early-Bird Rates*

NABE Member Registration: $425

Non-Member Registration (incl. one-year membership): $575

NABE Student Member Registration (no meals): $50

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


*Rates will increase after September 18, 2019

Poster Session

Present Your Research!

If you are a graduate student, assistant professor, junior researcher, or young professional who has developed innovative ideas in the alignment of economics and data science and would like to display a new methodology, research, or technique, you are encouraged to apply to participate in the TEC2019 Poster Sessions. Deadline for applications: August 2, 2019

NABE Foundation Economic Measurement Seminar

Learn more

University Partners 




Is your university interested in partnering with NABE on the CBE program?  There are many benefits to partnering with NABE to incorporate the CBE curriculum into university programs. More information