Social and Decision Analytics

Stephanie Shipp

  • Deputy Division Director
  • Research Professor
Stephanie Shipp Headshot
Bio

Bio

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

    • 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
    • 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
  • Ph.D. Economics, George Washington University

    Bachelor of Arts, Trinity College, Washington DC

Projects
We are assessing the ability for researchers to access, evaluate the quality of, and integrate Department of Defense data to support decision-making related to the military population and to expand the types of questions the data might inform —in particular, the study of important recurring issues to the military, such as attrition.
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National Well-being
The three-state Innovation Network was a first step to forge data science partnerships with Cooperative Extension professionals and stakeholders in communities across Virginia, Oregon, and Iowa. Research faculty and Cooperative Extension professionals worked closely with DSPG young scholars on issues facing rural communities including food security, health, nutrition, youth growth and development, forestry, agriculture, and natural resource management.
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Community Well-being
Through modern data science techniques, we are uncovering the social characteristics of individual and unit performance that drives Soldiers to successfully meet the challenges of rapid technological change they may need to address in future wars. We are recategorizing these data in a social context to capture Army values and Warrior Ethos, such as courage, honor, loyalty, and empathy.
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National Well-being
Natural language processing and machine learning are powerful techniques for extracting knowledge from the volumes of text-based data available. Collaborating with our agency partner, the National Center for Science and Engineering Statistics (NCSES), we are using administrative data from Federal RePORTER to identify the range of R&D topics funded by federal science and technology agencies, including emerging research areas.
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Official Statistics
Working with the USDA’s Economic Research Service, our researchers are exploring the effects of U.S. Department of Agriculture’s (USDA) Rural Utilities Service (RUS) broadband programs on rural broadband availability, use, household income and property values, allowing policymakers to better understand the efficacy of their funding initiatives.
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Community Well-being
We worked closely with Fairfax County Government and Economic Development Authority in developing research questions, identifying relevant data sources, and conducting our analyses.  Our collaboration helps county officials consider the equity of all residents in creating new programs and policies for employment support, housing, and transportation.
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Community Well-being
Selected Publications
Social and Decision Analytics
Harvard Data Science Review, Jan 31; 2(1).: (2020) Keller SA, Shipp SS, Schroeder AD, Korkmaz G.
Social and Decision Analytics
The Resilience Challenge: Looking at Resilience through Multiple Lens, Charles C Thomas Ltd Publishers.: (2018) Keller S, Shipp S.
Social and Decision Analytics
WIREs Computational Statistics, doi: 10.1002/wics.1426.: (2018) Keller S, Shipp S, Korkmaz G, Molfino E, Goldstein J, Lancaster V, Pires B, Higdon D, Chen D, Schroeder A.
Social and Decision Analytics
Issues in Science and Technology, Spring:83-89. : (2018) Keller S, Nusser S, Shipp S, Woteki C.
Social and Decision Analytics
Proceedings of the National Academy of Sciences (PNASs), 115 (50):12638-12645. : (2018) Keller S, Korkmaz G, Robbins C, Shipp S.
Social and Decision Analytics
Statistics and Public Policy, 4:1-11.: (2017) Keller SA, Lancaster V, Shipp S.
Social and Decision Analytics
Annual Review of Statistics and Its Application, 4:85-108.: (2017) Keller SA, Korkmaz G, Orr M, Schroeder A, Shipp S
Social and Decision Analytics
Annual Review of Statistics and Its Application, 3:161-180.: (2016) Keller SA, Shipp S, Schroeder A
Social and Decision Analytics
Stanford University Press, (2011) Fealing KH, Lane JI, Marburger JH, Shipp SS. (Eds.)
In the News
Economic Mobility

From local neighborhoods and schools to courtrooms, hospitals, fields, and forests, data are everywhere, providing us the power to solve problems like never before. Communities large and small now have access to a wealth of data they can use to assess conditions, develop strategies and policies, evaluate impact, and make critical decisions. However, not all communities – particularly those that are small or rural – have the expertise or resources necessary to access and leverage complex data for real-world benefits.

Biocomplexity Institute News

In celebration of Women’s History Month, Amstat News, the membership magazine of the American Statistical Association (ASA), highlighted 28 admired and accomplished women in a special March feature titled, “Celebrating Women in Statistics and Data Science.” Deputy Director and Research Professor Stephanie S. Shipp from the Biocomplexity Institute and Initiative at the University of Virginia was among this esteemed group, selected by other women in the field because of their influential and inspirational work.