Data+ is a 10-week summer research experience that welcomes Duke undergraduates interested in exploring new data-driven approaches to interdisciplinary challenges.
Students join small project teams, collaborating with other teams in a communal environment. They learn how to marshal, analyze, and visualize data, while gaining broad exposure to the modern world of data science. Last year, students used machine learning and natural language processing tools to facilitate improvements for Power for All’s Platform for Energy Access Knowledge (PEAK), which automatically curates, organizes, and streamlines large, growing bodies of data into digestible and sharable knowledge.
This year students have the opportunity to get involved with two projects that focus on our energy access challenges!
Smart Meters and Real-time Electricity Consumption Monitoring Algorithms to Reduce Electricity Theft in Developing Countries
A team of students led by researchers in the Energy Access Project will develop means to evaluate non-technical electricity losses (theft) in developing countries through machine learning techniques applied to smart meter electricity consumption data. Students will use data from smart meters installed at transformers and households through a randomized control trial. Students will develop algorithms that can be used to detect anomalies in the electricity consumption data and create a dataset of such indicators. This project will provide researchers with new ways of incorporating electricity consumption data and applications for electricity utilities in developing country settings.
A wider lens on energy: adapting deep learning techniques to inform energy access decisions
This team will explore how to develop machine learning techniques for analyzing satellite imagery data for identifying energy infrastructure that can be trained once and applied almost anywhere in the world. Led by researchers from the Energy Data Analytics Lab and the Sustainable Energy Transitions Initiative, the team will design two datasets: the first containing satellite imagery from diverse geographies with all energy infrastructure labeled, and the second a synthetic version of the same imagery. These data will enable research into whether synthetic imagery may be used to adapt algorithms to new domains. The better these techniques adapt to new geographies, the more information can be provided to researchers and policymakers to design sustainable energy systems and understand the impact of electrification on the welfare of communities.
Applications are open now! Deadline: 25 February 2019. Click here for further information on how to apply.