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Dive into Big Data and Collaborative Research through a Data+ Summer Project

Dive into Big Data and Collaborative Research through a Data+ Summer Project

Deadline: February 27, 2020 Interested in exploring new data-driven approaches to interdisciplinary challenges? Student applications are now open for this summer’s Data+ research program. The application deadline is February 27, but applications will be evaluated on a rolling basis, so students should apply as soon as possible. Data+ is a ten-week summer research experience for undergraduates and master’s students. Students […]

Data+ Students Present Findings at Durham City Hall on Local Eviction Trends

Data+ Students Present Findings at Durham City Hall on Local Eviction Trends

Over the summer of 2019, DataWorks NC sponsored a Duke Data+ project with the Rhodes Information Initiative to examine eviction data in Durham, and identify trends that could guide Durham City and County Government and other stakeholders in deciding which interventions would be most effective for Durham community members facing eviction from their homes. Undergraduates […]

Doctoral Scholars Preparing to Lead Emerging Field of Energy Data Analytics

Doctoral Scholars Preparing to Lead Emerging Field of Energy Data Analytics

The last decade has ushered in astounding growth in the amount of energy-related data, along with game-changing developments in machine learning and other innovative data science techniques. The result? Unprecedented opportunities to analyze and make better decisions about how we generate, transmit, and consume energy. At Duke University, a new program is pushing past traditional […]

Doctoral Students Can Go Deeper into the Energy Data Analytics Space

Doctoral Students Can Go Deeper into the Energy Data Analytics Space

Deadline: March 1, 2019 The growth of energy-related data in the last decade has created new opportunities for data-driven exploration of solutions to energy problems. Capitalizing on the opportunities presented by this new wealth of data will require scholars with training in both data science and energy application domains. Yet traditional graduate education is limited in its […]