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Julia Lane: The Measurement of AI

Why It’s Important for Researchers and for Policy, the Difficulties of Doing the Measurement, and Some Paths That Are Being Pursued
Julia Lane
Julia Lane, Professor, NYU Wagner Graduate School of Public Service

Where: Cleone Peterson Eccles Alumni House, The University of Utah, 155 Central Campus Dr, Salt Lake City, UT 84112

When: ​May 10, 2024, 9:30 am

9:30 — Julia will speak on AEI Report [industry of ideas, AI measurement, and labor markets]; provide a summary of the NAIRR Task Force report, including measurement issues and the resultant NAIRR pilot, and discuss NSF investment in industry of ideas and regional jobs; the Stanford AI Measurement Workshop and issues of importance for researchers and for public policy.

​10:30 — Reception where Julia will be signing her book, Democratizing Our Data: A Manifesto. Copies will be available for purchase from the bookstore.

About the Speaker

Julia is a Professor at the NYU Wagner Graduate School of Public Service. 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. She is a senior advisor at the National Institute of Standards and Technology working on the President’s Executive Order on Artificial Intelligence.

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. 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, which she founded as a not for profit company in 2020. 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 has published over 80 refereed journal articles and received almost $200 million in grants and contracts from national and international agencies and foundations.