Julia Lane

Professor, Wagner Graduate School of Public Service, New York University


Julia Lane 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 cofounded the Coleridge Initiative, whose goal is to use data to transform the way governments access and use data for the social good through training programs, research projects and a secure data facility.

Previous to this, Lane was a senior managing economist and Institute Fellow at American Institutes for Research. She has held positions at the National Science Foundation, The Urban Institute, The World Bank, American University and NORC at the University at Chicago. In these positions, Lane has led many initiatives, including co-founding the Institute for Research and Innovation in Science (IRIS) at the University of Michigan and STAR METRICS programs at the National Science Foundation and establishing the PatentsView project at the US Patent and Trademark Office. She also initiated and led the creation and permanent establishment of the Longitudinal Employer-Household Dynamics Program at the U.S. Census Bureau. She has authored or edited a dozen books, published over 80 scientific papers, and received over $150 million in funding from many sources, including the National Science Foundation, the National Institutes of Health, the Alfred P. Sloan Foundation, the Bill and Melinda Gates Foundation, the McGovern Foundation, and many federal and state government agencies.

Lane is an elected fellow of the American Association for the Advancement of Science, the International Statistical Institute, and a fellow of 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. She holds a Ph.D. in economics and an MA in Statistics.