Stephanie Shipp

Stephanie Shipp Headshot
Deputy Division Director and Research Professor, Social and Decision Analytics

Dr. Stephanie Shipp is the Deputy Director and a Professor at the Social and Decision Analytics Division within the Biocomplexity Institute and Initiative at University of Virginia. Dr. Shipp’s work spans topics related to the use of all data to advance policy, the science of data science, community analytics, and innovation. She is leading and engaging in projects at the local, state, and federal level to assess data quality and the use of new and traditional sources of data. Her research focuses on developing statistical methodology and tools for using administrative and other data to bring evidence to policy making. She conducts research on communities, federal statistics, innovation, and the military. Dr. Shipp was a senior Research Staff Member at the Institute for Defense Analyses, Science and Technology Policy, conducting research for the Office of Science and Technology Policy and other federal agencies. She served in the Senior Executive Service at the National Institute of Standards and Technology as the Director of the Economic Assessment Office in the Advanced Technology Program. Dr. Shipp also led economic and statistical programs at the Census Bureau and the Bureau of Labor Statistics. She began her career at the Federal Reserve Board.

Dr. Shipp is a fellow of the American Association for the Advancement of Science, the American Statistical Association, and an elected member of the International Statistics Institute. She was a member of the international advisory board for Verket För Innovations system (VINNOVA), Sweden’s innovation agency and twice led an expert panel to evaluate the Swedish Research Council’s Linnaeus Grants. Dr. Shipp is a committee member on National Academies studies, primarily with the Board on Science, Technology, and Economic Policy, most recently evaluating the Department of Energy’s ARPA-E programs and Small Business Innovation Research program. She has a Ph.D. in economics from George Washington University.

Full CV

Research Interests

  • Developing the science of data science
  • Enhancing federal statistics through data science
  • Bringing the all data revolution to urban and rural communities
  • Integrating ethics into data science


Ph.D. Economics, George Washington University

Bachelor of Arts, Trinity College, Washington DC

Honors and Awards

  • American Association for the Advancement of Science Fellow, Statistics, 2014
  • American Statistical Association (ASA) Fellow, 2002
  • International Statistical Institute, elected member, 2001
  • Jeanne E. Griffith American Statistical Association Mentoring Award, 2007
  • Pat Doyle American Statistical Association Service Award, 2009
  • Bronze Medal, Department of Commerce, 2000

In the News

Groundbreaking Data Science Framework Showcased in Esteemed Harvard Data Science Review

Biocomplexity Institute Awarded $1 Million Grant to Expand Data-driven Governance and Advance Economic Mobility in Rural Communities

USDA Awards Biocomplexity Institute $1 Million to Develop Three-State Data Science for the Public Good Coordinated Innovation Network

Amstat News Celebrates Stephanie S. Shipp Among 28 Inspirational and Influential Women in Statistics and Data Science

Selected Publications

Doing Data Science: A Framework and Case Study Article
Harvard Data Science Review, 2(1). (2020) S.A. Keller, S.S. Shipp, A. D., Schroeder, & G. Korkmaz

New Opportunities to Observe and Measure Intangible Inputs to Innovation: Definitions, Operationalization, and Examples Article
Proceedings of the National Academy of Sciences (PNASs), 115 (50):12638-12645. (2018) S. Keller, G. Korkmaz, C. Robbins, S. Shipp

Predicting Postsecondary Trajectories in Virginia High Schools using Publicly Available Data ABS
Statistical Journal of the IAOS, 3(4):553-565. (2018) B. Pires, I. Crandell, M. Arnsbarger, V. Lancaster, S. Keller, A. Schroeder, S. Shipp, W. Kang, P. Robinson

Helping Communities Use Data to Make Better Decisions Article
Issues in Science and Technology, Spring:83-89. (2018) S. Keller, S. Nusser, S. Shipp, C. Woteki

Harnessing the power of data to support communitybased research ABS
WIREs Comp Stat doi: 10.1002/wics.1426. (2018) S. Keller, S. Shipp, G. Korkmaz, E. Molfino, J. Goldstein, V. Lancaster, B. Pires, D. Higdon, D. Chen, A. Schroeder

A New Lens on High School Dropout: Use of Correspondence Analysis and the Statewide Longitudinal Data System Article ABS
The American Statistician, 72(2):191-198. (2018) K. S. Ziemer, B. Pires, V. Lancaster, S. Keller, M. Orr, and S. Shipp

Building Capacity for Data Driven Governance - Creating a New Foundation for Democracy Article
Statistics and Public Policy, 4:1-11. (2017) S. A. Keller, V. Lancaster, S. Shipp

A Bayesian Simulation Approach for Supply Chain Synchronization ABS
Simulation Conference (WSC), 2017 Winter (pp. 571-1582). IEEE. (2017) B. Pires, J. Goldstein, D. Higdon, S. Reese, P. Sabin, G. Korkmaz, S. Ba, K. Hamall, A. Koehler, S. Shipp, S. Keller

The Evolution of Data Quality: Understanding the Transdiciplinary Origins of Data Quality Concepts and Approaches. ABS
Annual Review of Statistics and Its Application, 4:85-108. (2017) S. A. Keller, G. Korkmaz, M. Orr, A. 

How to Put Data to Work in Your Neighborhood. Article
The Conversation, December 10, 2010. Shipp, S., Woteki, C., Keller, S., Nusser, S.

Does Big Data Change the Privacy Landscape? A Review of the Issues ABS
Annual Review of Statistics and Its Application, 3:161-180. (2016) S. A. Keller, S. Shipp, A. Schroeder