Professor Julia Lane, NYU Wagner Graduate School of Public Service

The advent of big data means that the time has come for change in the way in which we collect and use official statistics. However, that change needs to be effected in a thoughtful and careful way so that we don’t jump out of the frying pan into the fire. This presentation describes what might be done and how to get there.

Date
Wednesday, 20 June 2018

Time
18:00–19:00; then refreshments will be served

Location
Owen G Glenn Building (12 Grafton Road), Room 098
City Campus, the University of Auckland

Description
COMPASS Research Centre, the Public Policy Institute, the University of Auckland Department of Statistics, and the New Zealand Association of Economists are proud to host Professor Julia Lane of New York University. Her visit is funded by a University of Auckland Distinguished Visitor’s Award.

Attendance of this public lecture is free, and all are welcome. Parking is available in the lower levels of the Owen G Glenn Building, through the entrance on Grafton Road as marked with a red arrow at right – this is at a flat rate of $6 after 17:00!

Register here.

Julia Lane is a Professor at NYU Wagner and the NYU Centre for Urban Science and Progress, and an NYU Provostial Fellow for Innovation Analytics. Her research focuses on big data’s role in government and public policy. Prior to this, Dr Lane initiated and led the creation and permanent establishment of the Longitudinal Employer-Household Dynamics Programme at the US Census Bureau. This programme began as a small two-year ASA Census Bureau fellowship and evolved into the first large-scale linked employer-employee data set in the US. It is now a permanent Census Bureau programme. Dr Lane has published over 70 articles in leading economics journals and authored and edited numerous books. She has received more than $US75 million in grants from foundations, government agencies, and international organisations, and was the recipient of the 2014 Julius Shiskin award and the 2014 Roger Herriot award.

 

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