About

The Data Science Initiative, in cooperation with the NC State Office of Partnerships and Economic Development and the Raleigh Open Data initiative, has established a joint Smart Cities Project with the City of Raleigh.  Both NC State and the City of Raleigh are jointly committed to explore opportunities for engagement, partnership and collaboration to help build a smarter city in our own backyard.

The City of Raleigh and North Carolina State University wish to collaborate on project opportunities to leverage software, sensors and network technology to improve the City’s strategic vision and operations. The collaboration will focus on opportunities that leverage NC State’s strengths in skill and position as a trusted third party within the Triangle area, the University’s dedication to research that improves the lives of everyday North Carolinians, and its statewide network of university professors, students and specialist resources.  Expected areas of focus within the Smart Cities umbrella are big data, analytics, transportation and sustainability.

Triangle Smart Cities Summit – 6 June 2017

North Carolina State University and the City of Raleigh were honored to host the first Triangle Smart Cities Summit on Tuesday, 6 June, 2017. NCSU and the City of Raleigh have also partnered to join the MetroLab Network solidifying their shared commitment to making the Triangle a national smart cities innovator and leader.

Chancellor Randy Woodson, NC State and Mayor Nancy McFarlane, City of Raleigh. Courtesy of Becky Kirkland.

Chancellor Randy Woodson, NC State, Governor Martin O’Malley, MetroLab, and Mayor Nancy McFarlane, City of Raleigh. Courtesy of Becky Kirkland.

This event brought together local city, industry and academic leaders for an engaged discussion and to share ideas to help make our region a smarter and more connected community. Mayors, industry and academic executives, and national leaders in the smart cities movement discussed the biggest challenges they face and their current efforts and vision towards making the Triangle a smart region.

A recording of the Summit in it’s entirety is below. You can also view individual segments of the summit broken down by speakers at the following link:  Triangle Smart Cities Summit Videos

Current Projects — January 2017

The Data Science Initiative is excited to announce the City of Raleigh selected the following three white papers as the first set of Smart Cities projects to move forward. Additional project information will be uploaded as it becomes available.

  1. An IOT Climate Control System for Office Buildings — Dr. Warren Jasper, Professor in Textile Engineering, Chemistry and Science (TECS)
  2. Pavement Condition Assessment and Prioritization of Road Maintenance at the County- and State-Level — Dr. Kevin Han, Assistant Professor in Civil, Construciton, and Environmental Engineering
  3. Societal and Infrastructural Responses to Increases in Extreme Precipitation (SIRIEP) — Dr. Helena Mitasova, Professor in Marine, Earth, and Atmospheric Sciences, and Associate Director of Geovisualization, Center of Geospatial Analytics

How to Engage

The Smart Cities Project engagement is designed to be both on-going and iterative.  The initial above projects kicked off in January 2017, however,  both NC State and the City of Raleigh will continue to work to define projects of mutual interest with the goal of launching new projects as new ideas and new datasets become available.  If you would like to lead or join a Smart Cities team, you can do so in one of two ways:

  1. Identify which projects, if any, from the City of Raleigh’s list that you would like to participate in, or
  2. Propose a project (or projects) by completing a proposed project white paper and sending to ncstate-dsi@ncsu.edu .  The working group established between NC State and the City of Raleigh will meet periodically to review the white papers that have been submitted and select which ones to move forward with.

Once a proposed project is selected and approved, the City of Raleigh will need a suitable amount of time to locate and curate the relevant dataset(s) before project launch.