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Social and Decision Analytics | Community Well-being

Three-State Data Science for the Public Good Innovation Network

Sponsor

U.S. Department of Agriculture

In 2020, the University of Virginia’s Biocomplexity Institute led the development of a three-state, coordinated Innovation Network and helped to expand the Institute’s highly successful Data Science for the Public Good (DSPG) Young Scholars program beyond the Commonwealth of Virginia for the first time in the program’s history.

The DSPG Young Scholars program is a summer immersive program at UVA’s Biocomplexity Institute that engages graduate fellows and undergraduate interns from across the country to work together on projects around critical social issues relevant in the world today. DSPG young scholars conduct research at the intersection of statistics, data science, computation, and the social and behavioral sciences to determine how information generated within every community can be leveraged to improve quality of life and help inform public policy.

The three-state Innovation Network included five public universities across Virginia, Iowa, and Oregon: University of Virginia, Virginia Tech, Virginia State University, Iowa State University , and Oregon State University. Each university organized its own DSPG Young Scholars program to support the need for community-based research, particularly, in rural areas across the United States.

Project Overview

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.

Local governments of all sizes now have access to a wealth of data; however, leaders in rural communities often lack the resources and technical expertise to put these data to good use in a way that better serves their residents. Our program has helped rural communities build capacity for data-driven decision-making at the same time generating a new data science-savvy workforce.

~Sallie Keller, Distinguished Professor and Division Director of Social and Decision Analytics, Biocomplexity Institute

The three-state Innovation Network project team plans to create a DSPG Blueprint of Best Practices for other states to follow and help spread community-based data science across America, particularly in rural areas.

Findings

Across the three-state Innovation Network and through the DSPG Young Scholars program, research teams were remarkably productive and provided valuable insights to our community stakeholders.

An overview and results of the 35 DSPG summer projects are available in student presentations delivered at our annual DSPG Symposium. The following dashboards also provide additional findings to help guide community leaders in developing strategies and next steps to address their respective challenges.

Our Approach

Team Science Approach

To support the three-state Innovation Network, students worked in teams collaborating with postdoctoral associates, research faculty, Cooperative Extension professionals and community stakeholders to address complex problems proposed by local, state, and federal agencies.

Research teams utilized UVA’s Data Science Framework to explore core topics such as:

  • Promoting economic mobility through use of data science
  • Utilizing evidence-based decision-making capacity
  • Bringing data science to rural areas with a scalable, and repeatable process
  • Developing new datasets and information resources for use by communities and researchers
  • Empowering public services and local organizations to develop and share data to the benefit of all
  • Developing programs that serve as an incubator to promote workforce development
  • Opening of entrepreneurial space for the development of new products, processes, and tools based on local community data
  • Boosting the quality of life, and efficient and equitable delivery of services in their communities

An Unexpected Pivot to a Virtual Program

As a result of the COVID-19 pandemic, the obvious question for DSPG project leaders in the spring of 2020 was, “How feasible and effective would it be to deliver the DSPG program in a virtual format?”

While not an easy feat, not only was it was feasible, the program was immensely successful.

Altogether the virtual integration involved five universities; three time zones; 60 undergraduate and graduate students; and numerous government officials and community leaders across three states.  

With over 80 hours of training, students were exposed to all aspects of data science. This training was delivered using technology resources for large scale interactions as well as communications across individual teams. With this successful integration across the coordination network, the summer program was remarkably productive leading to insights for our stakeholders, deep learning across our students and the next step in developing a DSPG Blueprint of Best Practices for broad deployment.

Team

Division Director

Distinguished Professor in Biocomplexity, Biocomplexity Institute

Professor of Public Health Sciences, School of Medicine

Research Associate Professor

Research Associate Professor

Deputy Division Director

Research Professor

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