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Julia Lane (Assoc)

Julia is a tenured full Professor at the NYU Wagner Graduate School of Public Service and a Visiting Fellow at RTI International. She was a senior advisor in the Office of the Federal CIO at the White House, supporting the implementation of the Federal Data Strategy. She recently served on the Advisory Committee on Data for Evidence Building and the National AI Research Resources Task Force and currently serves on the Secretary of Labor’s Workforce Innovation Advisory Committee.

Julia is an elected fellow of the National Academy of Public Administration, the American Association for the Advancement of Science, the International Statistical Institute and the American Statistical Association. She is the recipient of the 2014 Julius Shiskin award and the 2014 Roger Herriot award from the American Statistical Association. She is also the recipient of the 2017 Warren E. Miller Award and the 2019 Distinguished Fellow award from the New Zealand Association of Economists.

Julia has initiated and founded or co-founded a number of public data infrastructures, including the Census Bureau’s Longitudinal Employer-Household Dynamics program, the USPTO’s Patentsview, STAR METRICS/UMETRICS at the Institute for Research on Innovation and Science at the University of Michigan, and Statistics New Zealand’s Integrated Data Infrastructure.  She also has created data access infrastructures: the remote data access enclave at NORC at the University of Chicago, the Administrative Data Research Facility at NYU and then the Coleridge Initiative.  She developed the Applied Data Analytics training program at the Coleridge Initiative and the Executive Certificate in Data Literacy and Evidence Building at NYU and the University of Maryland. She is currently working with a number of scientific and statistical agencies on the Democratizing Data project; an example of the work is here.

She holds a PhD in Economics and an MA in Statistics.  More information about Julia is here.

Created January 23, 2024, Updated March 5, 2024