Machine Learning and Data Science for Economists

 

February 28 - March 1, 2018 - SOLD OUT

This offering is now SOLD OUT. To be placed on a waitlist in case space should become available, please email us at [email protected].

2 days, 8:30 AM – 4:30 PM
Capital Hilton Hotel
Washington, DC

This course aims to speak to the value of using methods from machine learning and data science for the applied business economist.  More course information

Registration Details

NABE Member Early-Bird*: $1,500

U.S. Government Employee Early-Bird*: $1,575

Non-Member Early-Bird*: $1,650

*Early-Bird Deadline is January 17, 2018.


To be eligible for a refund less $50 fee, registration cancellation must be received in writing by January 17, 2018.  Questions? Please contact NABE at [email protected] or phone 202-463-6223.




Location

Capital Hilton Hotel  
1001 16th Street, NW
Washington, DC 20036

Travel Information

A discounted room rate of $289/night (plus tax) is available at the Capital Hilton for course attendees. Reservations can be made online or by calling Hilton Reservations at 
1-800-445-8667 (1-800-HILTONS). If making a reservation by phone, be sure to request the NABE group rate at the Capital Hilton. 

The room block is available until January 31, 2018, or until it reaches capacity, whichever occurs first.

 

About the Instructor



Matthew Harding is an Econometrician and Data Scientist who develops machine learning and artificial intelligence techniques to answer Big Data questions related to individual consumption and investment decisions in areas such as health, energy, and finance. He is an Associate Professor of Economics and Statistics at UC Irvine. He holds a PhD in Economics from MIT and an MPhil in Economics from Oxford University. He directs the Deep Data Lab which conducts research into cutting edge econometric methods for the analysis of “deep data”, large and information-rich data sets derived from many seemingly unrelated sources to provide novel economic insights. At the same time his research emphasizes solutions for achieving triple-win strategies.  These are solutions that not only benefit individual consumers, but are profitable for firms, and have a large positive impact on society at large. Professor Harding advised a number of companies and agencies on economics and data science problems, including Apple, US Commodity Futures Commission, World Bank, Electric Power Research Institute (EPRI), and the Department of Justice. He is also an advisor to a number of technology startups.