Loading...

A wider lens on energy: adapting deep learning techniques to inform energy access decisions

Timeline

2019

Description

Varun Nair (Economics, Physics), Paul Rhee (Computer Science), Jichen Yang (Computer Science, ECE), and Fanjie Kong (Computer Vision) spent ten weeks helping to adapt deep learning techniques to inform energy access decisions.

 

Click here to read the Executive Summary

 

Faculty Lead: Kyle Bradbury

Project Manager: Fanjie Kong

Related

  • Loading...
    2024
    A Textual Analysis of Agricultural Research
    A team of students led by the Duke World Food Policy Center’s Ag economist Norbert Wilson and electrical and computer engineering professor Leslie Collins and research professor Boyla Mainsah will analyze agricultural research funding to...
  • Loading...
    2023
    A Textual Analysis of Economic Speeches on Agriculture 1919-2022
    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...
  • Loading...
    2022
    A city and its river: Contaminant Risk in Durham
    A team of students led by researchers in the Duke River Center will develop a publicly available and accessible website to serve as a portal to explore diverse and extensive datasets detailing the quality of waterways and the...
Categories

Energy Data Analytics, Data+