As a labor economist, Julia Lane is driven by practical questions such as “What is the return on investment in on-the-job training?” Her interest in data and statistics led to innovative methods combining diverse data sources and addressing bias and measurement issues. Passionate about public good, she co-founded programs such as the Longitudinal Employer-Household Dynamics Program, PatentsView, and the Coleridge Initiative. Her latest is a data search and discovery platform called Democratizing Data. Lane’s significant contributions extend to empowering women with remote access facilities and eliminating child care barriers. Among her achievements, she takes pride in her Nature article, “Women Are Credited Less in Science Than Men,” emphasizing the crucial role of statistics in understanding selection bias and highlighting implications for science policy.

