Team Science

Project Summary

Anne Driscoll (Economics, Statistical Science), and Austin Ferguson (Math, Physics) spent ten weeks examining metrics for inter-departmental cooperativity and productivity, and developing a collaboration network of Duke faculty. This project was sponsored by the Duke Clinical and Translational Science Award, with the larger goal of promoting collaborative success in the School of Medicine and School of Nursing.

Themes and Categories
Year
2016

Project Results

The team utilized data from Scholars@Duke, which contains information on faculty appointments, publications, and grants. The students created a network of faculty in Python, where connections indicated cooperation on publications or grants. They also grouped faculty by inter-departmental cooperativity and productivity, and found that different success metrics led to very different results. Anne and Austin created an interactive visualization tool in Tableau, allowing CTSA members to explore the network, and examine results of various metrics of academic success.

Download the Executive Summary (PDF)

Faculty Lead: Robert Calderbank

Client: Rebecca Moen, Administrative Director, Duke CTSA

Project Manager

Participants

  • Anne Driscoll, Duke University Economics, Statistical Science
  • Austin Ferguson, Duke University Mathematics

Disciplines Involved

  • Pre-med
  • Sociology
  • All lab sciences
  • All quantitative STEM

Related People

Related Projects

Alexa Goble (Finance) joined Econ majors Chavez Cheong and Eli Levine in a ten-week exploration of mortgage enforcement actions related to the financial crisis from earlier in this century. Using NLP techniques on mortgage data from Ohio and Massachusetts, the team validated a new experimental approach to understanding the dynamics between state regulatory agencies, mortgage lenders, brokers, and loan originators. This project was a continuation of two previous Data+ projects:

https://bigdata.duke.edu/projects/american-predatory-lending-global-financial-crisis

https://bigdata.duke.edu/projects/american-predatory-lending-and-global-financial-crisis-year-2

 

View the team's project poster here

Watch the team's final presentation on Zoom:

 

Project Lead: Lee Reiners

Project Manager: Malcolm Smith Fraser

Stats/Sociology major Mitchelle Mojekwu joined Neuroscience majors Kassie Hamilton and Zineb Jaidi in a ten-week exploration of data relevant to an upcoming public school zone redistricting in Durham County. Using information acquired from the General Social Survey and the US Census, the team applied modern mathematical and statistical methods for generating proposed redistricting plans, with the aim of providing decision-makers with information they can use to produce school districts that are equitable and reflective of the Durham County student population.

View the team's project poster here

Watch the team's final presentation on Zoom:

 

Faculty Lead: Greg Herschlag

Project Manager: Bernard Coles

 

Pryia Juarez (BME/ECE), Jonathan Pilland (ECE/BME), and Matthew Traum (CS/Econ) spent teen weeks analyzing sensor data synthesized by an agile waveform generator. The team used deep reinforcement learning techniques to understand the performance of different synthetic agents representing potential attackers to the sensor system.

 

View the team's project poster here

Watch the team's final presentation on Zoom:

 

Faculty leads: Robert Calderbank, Vahid Tarokh, Ali Pezeshki

Client leads: Dr. Lauren Huie, Dr. Elizabeth Bentley, Dr. Zola Donovan, Dr. Ashley Prater-Bennette, Dr. Erin Trip

Project Manger: Suya Wu