University of Houston leads data science collaboration to propel energy transition
Five Texas schools have teamed up with energy industry partners to create a program to train the sectors future workforce. At the helm of the initiative is the University of Houston.
The Data Science for Energy Transition project, which is funded through 2024 by a $1.49 million grant from the National Science Foundation, includes participation from UH, the University of Houston-Downtown, the University of Houston-Victoria, the University of Houston-Clear Lake, and Sam Houston State University.
The project will begin but introducing a five-week data science camp next summer where undergraduate and master’s level students will examine data science skills already in demand — as well as the skills that will be needed in the future as the sector navigates a shift to new technologies.
The camp will encompass computer science and programming, statistics, machine learning, geophysics and earth science, public policy, and engineering, according to a news release from UH. The project’s principal investigator is Mikyoung Jun, ConocoPhillips professor of data science at the UH College of Natural Science and Mathematics.
The new program's principal investigator is Mikyoung Jun. Photo via UH.edu
“It’s obvious that the Houston area is the capital for the energy field. We are supporting our local industries by presenting talented students from the five sponsoring universities and other Texas state universities with the essential skills to match the growing needs within those data science workforces,” Jun says in the release. “We’re planning all functions in a hybrid format so students located outside of Houston, too, can join in.”
Jun describes the camp as having a dual focus — both on the issue of energy transition to renewable sources as well as the traditional energy, because that's not being eradicated any time soon, she explains.
Also setting the program apart is the camp's prerequisites — or lack thereof. The program is open to majors in energy-related fields, such as data science or petroleum engineering, as well as wide-ranging fields of study, such as business, art, history, law, and more.
“The camp is not part of a degree program and its classes do not offer credits toward graduation, so students will continue to follow their own degree plan,” Jun says in the release. “Our goal with the summer camp is to give students a solid footing in data science and energy-related fields to help them focus on skills needed in data science workforces in energy-related companies in Houston and elsewhere. Although that may be their first career move, they may settle in other industries later. Good skills in data processing can make them wise hires for many technology-oriented organizations.”
Jun's four co-principal investigators include Pablo Pinto, professor at UH’s Hobby School of Public Affairs and director of the Center for Public Policy; Jiajia Sun, UH assistant professor of geophysics; Dvijesh Shastri, associate professor of computer science, UH-Downtown; and Yun Wan, professor of computer information systems and chair of the Computer Science Division, UH-Victoria. Eleven other faculty members from five schools will serve as senior personnel. The initiative's energy industry partners include Conoco Phillips, Schlumberger, Fugro, Quantico Energy Solutions, Shell, and Xecta Web Technologies.
The program's first iteration will select 40 students to participate in the camp this summer. Applications, which have not opened yet, will be made available online.
The Data Science for Energy Transition project is a collaboration between five schools. Image via UH.edu