StreamPulse: From Streaming Data to Streaming Insights

Project Summary

A team of students led by faculty and students in Duke's River Center will manipulate, model and visualize time series data derived from hundreds of rivers throughout the world. Students will gain experience working with large datasets derived from environmental sensors and will be able to direct the data project based on their learning interests. Opportunities include developing machine learning tools for data processing and pattern recognition, building software and web interfaces to enable cloud computing, and creating interactive graphics aimed at explaining scientific concepts using Big Data. Tools developed through this project will be hosted on the StreamPulse web platform (streampulse.org).

Faculty Leads: Emily Bernhardt, Jim Heffernan

Project Managers: Alice Carter, Michael Vlah

Themes and Categories
Year
2019
Contact
Paul Bendich
Mathematics
bendich@math.duke.edu

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