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ExxonMobil invests $17M with nonprofit to fund more STEM instruction, resources

The ExxonMobil Foundation has invested more than $17 million in the Open Doors Project. Photo via Khan Academy

The ExxonMobil Foundation announced they are collaborating with the Khan Academy on the Open Doors Project, which aims to bring free math and science courses and teacher guides to Texas in a larger goal to inspire new STEM leaders.

The Open Doors Project will be the largest single curriculum project for Khan Academy, and will reach schools in Houston.

“Our main goal with this program is to meet the needs of Texas teachers and students,” Sal Khan, founder and CEO of Khan Academy, says in a news release. “We’re grateful for the ExxonMobil Foundation’s vision and support for developing courses and teacher guides that will deliver world-class math and science resources to students and teachers when and where they need it.”

The ExxonMobil Foundation is providing support for the creation of Texas Essential Knowledge and Skills (TEKS)-aligned math and science courses for 3-12 grades through the Open Doors Project. These courses will make it easier to align with the non-profit Khan Academy’s vision of providing free “world-class education” in their classrooms.

The program will include structured lesson plans and instructional guidance that are adaptable for students' various learning styles to help reach “mastery” level of multiple STEM topics. The first round of courses will begin on June 30 with additional courses to come in 2025 and 2026.

The ExxonMobil Foundation has invested more than $17 million in the Open Doors Project, and offers additional support through the Khan Academy Districts to primary and secondary schools in areas where ExxonMobil operates, which includes Houston, Western Texas and the Gulf Coast. Khan Academy is available in large institutions like Kipp and Houston Independent School District, which uses the academy as part of its college readiness program.

“We’re committed to addressing the gap in STEM education,” Alvin Abraham, president of the ExxonMobil Foundation, says in a news release. “With Khan Academy’s help, we can empower teachers to work with students to master the STEM curriculum and take their knowledge into careers that can change the world.”

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A View From HETI

Researchers have secured $3.3 million in funding to develop an AI-powered subsurface sensing system aimed at improving the safety and efficiency of underground power line installation. Photo via Getty Images

Researchers from the University of Houston — along with a Hawaiian company — have received $3.3 million in funding to explore artificial intelligence-backed subsurface sensing system for safe and efficient underground power line installation.

Houston's power lines are above ground, but studies show underground power is more reliable. Installing underground power lines is costly and disruptive, but the U.S. Department of Energy, in an effort to find a solution, has put $34 million into its new GOPHURRS program, which stands for Grid Overhaul with Proactive, High-speed Undergrounding for Reliability, Resilience, and Security. The funding has been distributed across 12 projects in 11 states.

“Modernizing our nation’s power grid is essential to building a clean energy future that lowers energy costs for working Americans and strengthens our national security,” U.S. Secretary of Energy Jennifer M. Granholm says in a DOE press release.

UH and Hawaii-based Oceanit are behind one of the funded projects, entitled “Artificial Intelligence and Unmanned Aerial Vehicle Real-Time Advanced Look-Ahead Subsurface Sensor.”

The researchers are looking a developing a subsurface sensing system for underground power line installation, potentially using machine learning, electromagnetic resistivity well logging, and drone technology to predict and sense obstacles to installation.

Jiefu Chen, associate professor of electrical and computer engineering at UH, is a key collaborator on the project, focused on electromagnetic antennas installed on UAV and HDD drilling string. He's working with Yueqin Huang, assistant professor of information science technology, who leads the geophysical signal processing and Xuqing Wu, associate professor of computer information systems, responsible for integrating machine learning.

“Advanced subsurface sensing and characterization technologies are essential for the undergrounding of power lines,” says Chen in the release. “This initiative can enhance the grid's resilience against natural hazards such as wildfires and hurricanes.”

“If proven successful, our proposed look-ahead subsurface sensing system could significantly reduce the costs of horizontal directional drilling for installing underground utilities,” Chen continues. “Promoting HDD offers environmental advantages over traditional trenching methods and enhances the power grid’s resilience.”

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