Julia Lane

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Julia is a tenured full 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 and the National Science Foundation’s Advisory Committee on Cyberinfrastructure

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 2004 Vladimir Chavrid award from the National Association of State Workforce Agencies as well the 2014 Julius Shiskin award and the 2014 Roger Herriot award from the American Statistical Association and the 2019 LEHD Founders award from the Census Bureau for establishing the LEHD program. 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 has authored over 80 scientific publications, edited or coauthored 13 books, and received over $180 million in grants and contracts from national and international agencies and foundations.

She holds a PhD in Economics and an MA in Statistics. 

The Industry of Ideas: Measuring How Artificial Intelligence Changes Labor Markets

By Julia Lane | American Enterprise Institute | June 09, 2023

  • Federal investments in new and emerging technologies—such as in artificial intelligence—have transformed the labor market. New “idea industries” that don’t fit neatly into traditional measures of industries and scientific fields have emerged.
  • This report describes a new, rapidly implementable, conceptual, and empirical approach to tracing how ideas move from investments in research to the marketplace and developing early warning indicators of potential workforce and education impacts.
  • This report proposes a new evidence-based foundation to support US national growth strategies and ensure investments have the greatest chance of success for workers and employers.
Read the Report

Upcoming and Recent Highlights

Publications

Books

Grants and Contracts

Academic

  1. National Science Foundation “Industries of Ideas” (joint with University of Michigan, Ohio State University and Social Science Research Council) 2023-2025 $4.5 million
  2. U.S. Department of Education and  National Science Foundation (National Center for Science and Engineering Statistics) “Democratization of Data Analysis”, $1.13 million
  3. National Science Foundation, National Network for Critical Technology Investment, 2022-23, (Carnegie Mellon prime), $150,000
  4. Patrick J. McGovern Foundation, Data as a Public Good, $1 million, 2021-2022
  5. Ascendium Educational Foundation “Building Educational Data Infrastructure” $500,000, 2020-2021

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Other Grants

Rockefeller/Sage  Foundation,  1997/9;  World  Bank  Research  Grant,  1996/7;  1998/9 Bureau  of  Labor Statistics  1997;  Bureau  of  the  Census  1997,  1999-2001;  National  Science  Foundation  1997,  2003; European Union 1997; Sloan Foundation, 1997, 1999-2002, 2007; National Institute on Aging, 2001-2004; Health and Human Services (ASPE) 2000-2001, 2002, 2003, 2006; (ACF) 2006; Department of Labor (ETA) 2001, 2002, 2003 (VETS) 2006. New Zealand Department of Labor, 2001, 2002; Spencer Foundation, 2006

Selected Keynote speeches

Selected Professional Service

Statistics/Data Science

  • Eurostat/UN confidentiality workshop in Skopje Macedonia  2001
  • Conference of European Statisticians, Geneva, Switzerland, 2003
  • Statistics Austria, Vienna, Austria, 2003
  • Invited Overview Lecture, Joint Statistical Meetings, 2014
  • Volkswagen Foundation, Herrenhausen Conference, Hannover, Germany, March 2015
  • BigSurv18 Big Data and Survey Methods, Barcelona, Spain, October 2018
  • International Conference on Sustainable Cities, New York, NY May 2018
  • Open Data Science Conference West, San Francisco, 2018
  • AWS: Reinvent, Las Vegas, 2018
  • Scientific Literature Knowledge Bases, Amherst, May 2019
  • Australian Social Policy Conference, Sydney, September 2019
  • Simons Institute, UC Berkeley, May 2019
  • Luxembourg Institute of Socio-Economic Research, 50th Anniversary, November 2019 
  • Data Quality as a Challenge: Research in the Age of the Digital Turn, Hannover Germany, February 2020
  • AI/Data Science Conference, NYC March 2020
  • Open Data Science Conference East 2020, April 2020 Boston 
  • World Data Forum, Bern Switzerland, October 2021
  • Second Conference of the European Association for the Digital Humanities, Krasnoyarsk, Siberia, September 2021

Selected Media and Legislative Highlights