Social and Decision Analytics

Projects

Economic Mobility
| Community Well-being

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.

All Projects

During World War II, the U.S. Army conducted surveys to reveal attitudes toward, and between Black and White Soldiers. These responses hold insights regarding attitudes about race, gender, and family roles of the time. Our research team used computational text analysis and social network analysis of handwritten responses to learn about the dynamics and language of soldiers in the 1940’s.
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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
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
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
Through the use of historical analysis and computational text analysis, we elaborate how the 1969 White House Conference on Food, Nutrition, and Health influenced our understanding of national well-being through a number of cultural, political, and environmental processes over the latter half of the 20th century.
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National 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
We are working with the National Center of Science and Engineering Statistics to address this gap. By discovering nontraditional data sources and using them to describe and quantify the skills and non-degree credentials that can lead to STW jobs, we can help policymakers and educators address an urgent problem and empower job seekers to make informed decisions about their future.
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Official Statistics
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
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.
|
Community Well-being