Open Data for Tobacco Retailer Mapping

Project Summary

Felicia Chen (Computer Science, Statistics), Nikkhil Pulimood (Computer Science, Mathematics), and James Wang (Statistics, Public Policy) spent ten weeks working with Counter Tools, a local nonprofit that provides support to over a dozen state health departments. The project goal was to understand how open source data can lead to the creation of a national database of tobacco retailers.

Themes and Categories
Year
2017
Contact
Paul Bendich
Mathematics
bendich@math.duke.edu

Project Results: The team performed a feasibility study involving questions of technical accuracy and cost-effectiveness. Working mostly in R, they used a combination of web-scraping for data collection, machine-learning and text mining for data classification, and MTurk for human validation, and were able to construct a viable dataset for North Carolina.

They presented findings at an informal briefing of civic leaders and planning officials.

Partially funded by Counter Tools

Click here for the Executive Summary

Project Lead & Project ManagerMike Dolan Fliss, Counter Tools

 
 


 

"Coming in, I had little knowledge about what data science research entailed. Participating in Data+ was a great step and helped me better realize my career goals. I learned a host of interdisciplinary skills - ranging from web scraping to survey design – that can definitely be applied to future projects." — Felicia Chen, Computer Science & Public Policy

Related People

Related Projects

Brooke Erikson (Economics/Computer Science), Alejandro Ortega (Math), and Jade Wu (Computer Science) spent ten weeks developing open-source tools for automatic document categorization, PDF table extraction, and data identification. Their motivating application was provided by Power for All’s Platform for Energy Access Knowledge, and they frequently collaborated with professionals from that organization.

Click here to read the Executive Summary

 

Jake Epstein (Statistics/Economics), Emre Kiziltug (Economics), and Alexander Rubin (Math/Computer Science) spent ten weeks investigating the existence of relative value opportunities in global corporate bond markets. They worked closely with a dataset provided by a leading asset management firm.

Click here for the Executive Summary

Maksym Kosachevskyy (Economics) and Jaehyun Yoo (Statistics/Economics) spent ten weeks understanding temporal patterns in the used construction machinery market and investigating the relationship between these patterns and macroeconomic trends.

They worked closely with a large dataset provided by MachineryTrader.com, and discussed their findings with analytics professionals from a leading asset management firm.

Click here to read the Executive Summary