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Program

 

Wednesday  | Thursday 

 

Wednesday, November 15

 
 8:00am  Exhibitor Setup
   
 8:00am - 5:00pm  Virtual Career Fair: Interview room available to employers
Seaport
Participating employers: Amazon, ECONorthwest, Facebook, Google, Houzz, IBM, Intel, Keystone, Netflix, Nuna, QuantCo, Redfin, Uber, Walmart, and Zillow
   
 8:30am - 10:15am  Registration / Check-in, exhibit space open
Grand Foyer
Exhibitors: Amazon, Haver Analytics, IBM, Keystone Strategy, and Seattle Economics Council 

8:30am - 9:15am Continental Breakfast
Grand Foyer

General Sessions
9:15am - 10:15am Poster Session Presentations
Grand Pacific D-G
| Sponsored by The NABE Foundation
 
Poster presenters will give brief talks on their research during this session.
Presenters will be available for Q&A in the foyer during Poster Sessions (12:35pm and 3:20pm).

2D-Spherical Visualization of Large Scale Connected Networks

Solomon Sia, Keystone

A Matrix Factorization Approach to Predicting Successful Commercial Real Estate Development Partnerships
Paul Fomenky, CBRE

AI Technology and the Future of Employment
Qing Chen, Kangning Gao, and Weiwei Li, The George Washington University

Deep Learning and Finance: Here We Go Again
Timothy H. Savage, CBRE Econometric Advisors; Huy Vo, CUNY and NYU

Director Nominations: Evidence from Machine Learning
Lea Stern, University of Washington; Isil Erel, The Ohio State University; Chenhao Tan, University of Colorado Boulder; and Michael Weisbach, The Ohio State University and NBER

Driver Response to Variable Message Signs: Experiment, Analysis, and Predictive Modeling
Si-Yuan Kong, University of California, Irvine

Effect of Sponsored Listings on Online Marketplaces: The Role of Information Asymmetry
Vibhanshu Abhishek and Siddhartha Sharma, Carnegie Mellon University

Learning with Opponent-Learning Awareness
Yuhua (Richard) Chen, OpenAI; Pieter Abbeel, University of California, Berkeley; Maruan Al-Shedivat, Carnegie Mellon University; Jakob N. Foerster, Oxford University; Igor Mordatch, OpenAI; and Shimon Whiteson, Oxford University

Understanding the Effect of Incentivized Advertising along the Conversion Funnel
Khai Xiang Chiong, Richard Chen and Sha Yang, University of Texas at Dallas

Using Machine Learning to Harvest Macro Insight from Company-Level Research
Kartik Chhapia, Cait Dourney, and Irina Tytell, Fidelity Investments
 
10:15am - 10:45am The Psychology of Inducing Honesty on the Internet
Grand Pacific D-G
Max Bazerman, Professor of Business Administration, Harvard Business School
Introduction: Nela Richardson, Chief Economist, Redfin
 
   
10:45am - 11:35am Outlook for Economics Careers in Tech
Grand Pacific D-G   
Pat Bajari, Chief Economist & Vice President, Amazon
Carolyn Evans, Senior Data Scientist, Intel
Stan Humphries, Chief Analytics Officer & Chief Economist, Zillow Group
Moderator: Michael Luca, Lee J. Styslinger III Associate Professor of Business Administration, Harvard Business School
   
11:35am - 12:35pm Luncheon: Marketplaces and Market Design - Matching Markets and Kidney Exchange
Grand Pacific D-G
Alvin Roth, Craig and Susan McCaw Professor of Economics, Stanford University
Introduction: Mine Yücel, CBE, 2017-18 NABE President, Senior Vice President and Research Director, Federal Reserve Bank of Dallas
   
12:35pm - 1:05pm  Poster Session / Networking Break
Grand Foyer 
   
Concurrent Sessions  
1:05pm - 1:45pm
 
Track I: Introduction to Deep Learning
Grand Pacific A-C

Sanjiv Das, William and Janice Terry Professor of Finance and Business Analytics, Leavey School of Business - Santa Clara University            
Introduction: Carolyn Evans, Senior Data Scientist, Intel                                
Track II: Econometrics, ML, and All That Stuff
Grand Pacific D-G

Greg Duncan, Chief Economist & Chief Statistician, Amazon
Introduction: Michael Horrigan, CBE, Associate Commissioner, Office of Employment and Unemployment Statistics, U.S. Bureau of Labor Statistics
   
1:50pm - 2:30pm 
 
Track I: Other Approaches to Causal Inference
Grand Pacific A-C

Duncan Gilchrist
, Data Science Manager, Uber
Randall Lewis, Economic Research Scientist, Netflix
Track II: Tools for Working with Big Data/Machine Learning
Grand Pacific D-G 

Evan Bloom, Senior Data Scientist, Netflix
Nick Stevens, Principal Product Manager, Zillow
David Stiff, Principal Economist, CoreLogic
Moderator: Sam Khater, Deputy Chief Economist, CoreLogic
   
2:35pm - 3:20pm   
Track 1: Experiments at Tech Companies
Grand Pacific D-G
Mike Bailey, Economist, Facebook
Tom Cunningham, Data Scientist, Facebook
Moderator: Tom Blake, Manager & Economist, A9.com                                                     
Track II: Evaluating the Quality of New Data Sources
Grand Pacific A-C
Issi Romem, Chief Economist, BuildZoom
Tara Sinclair
, Senior Fellow, Indeed; Professor, The George Washington University
Moderator: Jacob Dearmon, Professor of Economics, Director of Center for Data Analytics, Oklahoma City University
   
3:20pm - 3:50pm Poster Session / Networking Break
Grand Foyer
 
   
General Sessions  
3:50pm  - 4:40pm Man vs. Machine: Integrating the Tools of Economics & Data Science in the Workplace
Grand Pacific D-G

Phil Leslie, ‎Chief Digital Economist & Vice President, Amazon
Randall Lewis, Economic Research Scientist, Netflix
Moderator: Nela Richardson, Chief Economist, Redfin
 
4:40pm - 5:20pm The Master Algorithm: How Machine Learning Will Remake Our World
Grand Pacific D-G

Pedro Domingos, Professor of Computer Science and Engineering, University of Washington
Introduction: Ellen Hughes-Cromwick, CBE, Interim Associate Director and Senior Economist, University of Michigan Energy Institute
   
5:20pm - 6:15pm Is AI the Future of Business Economics?
Grand Pacific D-G
Jure Leskovec, Associate Professor of Computer Science, Stanford University
Hal Varian, Chief Economist, Google
Moderator: Martin Fleming, VP, Chief Economist & Chief Analytics Officer, IBM Corp.
   
6:30pm - 7:45pm  Reception at the World Trade Center Seattle
Hosted by Zillow
2200 Alaskan Way, 4th floor
(30 steps north of the Seattle Marriott Waterfront)
   
8:00pm - 9:15pm  Small Group Dinners

Area restaurants
Preregistration required. Groups will meet at the conclusion of the reception at the World Trade Center Seattle.

 

Thursday, November 16

 
 
7:45am - 8:15am  Continental Breakfast
Grand Foyer
 
   
General Sessions  
   
8:15am - 9:15am Applications of Big Data: Impact of Changes to the Minimum Wage
Grand Pacific D-G

Jacob Vigdor, Professor, University of Washington
William L. Wascher, Deputy Director, Division of Research and Statistics, Federal Reserve Board of Governors
Moderator: Paul Thomas, CBE, Co-Founder & Principal, Economic Stories, LLC
   
9:15am - 10:00am Machine Learning for Analyzing Complex Time Series
Grand Pacific D-G

Emily B. Fox, Amazon Professor of Machine Learning, University of Washington
Introduction: Emily Glassberg SandsDirector of Data Science, Coursera
   
10:00am - 10:30am  Networking / Coffee Break
Grand Foyer | Sponsored by Haver Analytics
 
   
Concurrent Sessions
 
10:30am - 11:10am 
 
Track I: Algorithms at Business: Prediction Problems, New Results, and Applications/Findings
Grand Pacific D-G
               
Guido Imbens, Professor of Economics, Graduate School of Business, Stanford University
Jasjeet Thind, VP of Data Science and Engineering, Zillow
Moderator: Michael Luca, Lee J. Styslinger III Associate Professor of Business Administration,
Harvard Business School
Track II: Measuring the Macroeconomy with Big Data
Grand Pacific A-C
Peter Lenz, Senior Geospatial Analyst, Dstillery
Qing Wu, Senior Economist, Google
Moderator: Andrew Chamberlain, Chief Economist, Glassdoor
   
11:15am - 12:00pm
 
Track I: Economists in Marketplaces: Pricing, Matching, Strategy, and Experimentation
Grand Pacific D-G
Emily Glassberg SandsDirector of Data Science, Coursera
Jacob LaRiviere,
Senior Researcher, Microsoft Research 
Kane Sweeney, Head of Advanced Pricing Science, Uber
Moderator: Duncan Gilchrist, Data Science Manager, Uber
Track II: Big Data and the Future of Government Stats
Grand Pacific A-C

Guy Berger, Economist, LinkedIn
Ron Jarmin,
 Associate Director for Economic Programs, U.S. Census Bureau
Brian Moyer, Director, U.S. Bureau of Economic Analysis
Moderator: Michael Horrigan, CBE, Associate Commissioner, Office of Employment and
Unemployment Statistics, U.S. Bureau of Labor Statistics
   
12:05pm - 12:35pm   
Track I: Talks on Experiments at Companies
Grand Pacific D-G
Sarah Moshary, Assistant Professor, University of Pennsylvania
Cuky Perez, Data Science Manager, Airbnb
Moderator: Duncan Gilchrist, Data Science Manager, Uber
Track II: Outlook for Crowdsourced Data
Grand Pacific A-C

Jon Loyens, Co-Founder and Chief Product Officer, data.world
Moderator: Tara Sinclair, Senior Fellow, Indeed; Professor, The George Washington University
   
12:35pm - 1:45pm  Luncheon: Addressing the Bogeymen of AI -- Jobs, Safety, Privacy, and More
Grand Pacific D-G
Oren Etzioni, Chief Executive Officer, Allen Institute for Artificial Intelligence
Introduction: Stan Humphries, Chief Analytics Officer & Chief Economist, Zillow Group

1:45pm - 2:15pm Networking / Coffee Break 
Grand Foyer
   
Concurrent Sessions
 
2:15pm - 2:55pm 
 
Track I: Mitigating Risks in Analytics 
Grand Pacific D-G   
        
Martin Fleming, VP, Chief Economist, and Chief Analytics Officer, IBM Corp.
Svenja Gudell, Chief Economist, Zillow
Moderator: Timothy H. Savage, Senior Managing Economist, CBRE
Track II: Applications in Text Analytics
Grand Pacific A-C

Joe Sutherland, Director of Quantitative Analytics, Prattle
Dan Wilson, Research Advisor-Microeconomic Research, Federal Reserve Bank of San Francisco
Moderator: Jed Kolko, Chief Economist, Indeed
   
3:00pm - 3:30 PM 
 
Track I: Online Platforms as Decision Architects 
Grand Pacific D-G
Michael Luca, Lee J. Styslinger III Associate Professor of Business Administration, Harvard Business School
Track II: Data Visualization at the Human Scale
Grand Pacific A-C
Kim Rees, Head of Data Visualization, Sr. Director, Design, Capital One
Introduction: Auden Kaehler, Consultant, WSP USA
   
3:30pm - 3:40pm  Coffee Break
Grand Foyer
   
General Sessions
 
3:40pm - 4:25pm When to Call BS on Big Data
Grand Pacific D-G

Carl T. Bergstrom, Professor, University of Washington
Jevin D. West, Assistant Professor in the Information School, University of Washington
Moderator: Bill Anderson, Former Executive Director, MS-Computational Finance & Risk Management, University of Washington
   
4:25pm - 5:20pm  Policy and Big Data: City, National, and Global Perspectives
Grand Pacific D-G

Jonathan Hall, Chief Economist and Director of Public Policy, Uber
Christopher Hooton, Chief Economist, Internet Association
Martha Lawless, Chief, Services Division, Office of Industries, U.S. International Trade Commission
Moderator: Ellen Hughes-Cromwick, CBE, Interim Associate Director and Senior Economist, University of Michigan Energy Institute
   
5:20pm - 6:30pm  Reception at Seattle Marriott Waterfront
Hosted by Amazon
Grand Pacific A-C
Featuring remarks from Dan Jedda, Vice President, Finance, Amazon
   

 

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