Executive Leadership
Social and Decision Analytics

Stephanie Shipp

  • Interim Director
  • Research Professor
Stephanie Shipp Headshot
Bio

Bio

Stephanie Shipp is the Interim Director for the Social and Decision Analytics Division, Biocomplexity Institute, 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 local, state, and federal projects to assess data quality and the ethical use of new and traditional data sources. She is a member of the American Statistical Association’s Committee on Professional Ethics.

As a U.S. Senior Executive Service member, Dr. Shipp led the Economic Assessment Office in the Advanced Technology Program at the National Institute of Standards and Technology. She expanded the economic evaluation capacity of this world-renown program by inviting and funding academic researchers to work with us to conduct research. Since beginning her career at the Federal Reserve Board, she has led economic and statistical programs at the Census Bureau and Bureau of Labor Statistics, creating new partnerships across the federal government through outreach and collaboration. Serving on National Academies committees, Dr. Shipp brings her knowledge of social sciences, statistics, policy, and innovation to evaluate and inform government science and engineering programs.

Dr. Shipp’s experience in science and technology policy expanded through research conducted at the IDA Science and Technology Policy Institute, a non-profit organization that conducts policy analysis for the White House Office of Science and Technology Policy. Her research and analysis of the U.S. and global advanced manufacturing trends provided input to expand the White House vision in this area. She initiated research in understanding technology transfer which led to several additional projects with the Energy Department and the Department of Defense.

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 Statistical Association (ASA) Founders Award, 2022
    • 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
Past Project
Building on our established Community Learning through Data-Driven Discovery process, we are piloting a mechanism to infuse data science into local communities to accelerate the advancement of economic mobility across Virginia, Iowa, and Oregon. Our initiative works to empower and build partnerships with the Cooperative Extension Systems (CES)across these three states, and equip CES professionals with the skills and knowledge to bring data-driven insight to communities they serve.
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Community Well-being
Selected Publications
Social and Decision Analytics
Keller S; Shipp S . The Resilience Challenge: Looking at Resilience through Multiple Lens. Charles C. Thomas Publisher, Ltd.. 2018;
Social and Decision Analytics
Keller S; Shipp S; Korkmaz G; Molfino E; Goldstein J; Lancaster V; Pires B; Higdon D; Chen D; Schroeder A . WIREs Computational Statistics. 2018;
In the News

Stephanie Shipp’s Arlington, Virginia, office overlooks the Potomac River and offers a sweeping view of the Washington Monument and other familiar landmarks of Washington, DC—a town she knows well from her days at the Federal Reserve Board, Bureau of Labor Statistics, US Census Bureau, and National Institute of Standards and Technology.

AMSTAT News - black logo

With a long and successful career steeped in statistics, the University of Virginia Biocomplexity Institute’s Sallie Keller will step into a new post that might well have been tailor made for the nationally recognized research scientist. Keller will join the U.S. Census Bureau as chief scientist and associate director for research and methodology lending her scientific knowledge and expertise to advise the Census Bureau’s programs and continued need to produce high-quality statistical products describing America and for use by decision makers in many roles.

Census

A research team at the University of Virginia has set its sights on developing new and better measures of America’s people, places, and the economy through a comprehensive innovation they call a Curated Data Enterprise. The research is being done in collaboration between the U.S. Census Bureau and UVA’s Biocomplexity Institute with additional support from the Alfred P. Sloan Foundation.

Data Science

This article discusses the necessity for data acumen and data science ethics and describes the fundamentals necessary to apply these skills to real-world problems.

Math Society logo - black
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.

Shipp