Economics and Computation Projects
Keith Cressman (CS/ECE), Isa Lu (Econ), and Ivan-Aleksandr Mavrov (Econ/Math) spent ten weeks exploring how NLP tools could be put to use to improve document analysis workflow at DUMAC Inc., which is responsible for managing the assets of Duke University. View the team’s project poster here Watch the team’s...
Building off the work of a 2016 Data+ team, Yu Chen (Economics), Peter Hase (Statistics), and Ziwei Zhao (Mathematics), spent ten weeks working closely with analytical leadership at Duke’s Office of University Development. The project goal was to identify distinguishing characteristics of major alumni donors and to model their lifetime giving behavior. Project Results: Working with a large data set...
Zijing Huang (Statistics, Finance), Artem Streltsov (Masters Economics), and Frank Yin (ECE, CompSci, Math) spent ten weeks exploring how Internet of Things (IoT) data could be used to understand potential online financial behavior. They worked closely with analytical and strategic personnel from TD Bank, who provided them with a massive dataset compiled by Epsilon, a global company that specializes in...
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 Disciplines Involved: Economics, all Quantitative STEM Project Lead: Emma Raisel Project...
A team of students led by an interdisciplinary group of faculty at the intersection of policy, economics, and computer science used statistical and machine learning methods to assess and map the discourse of speeches (1919-2022) by applied economists on food and agricultural policy. Understanding the historical underpinnings of these policies...
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