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Accenture, Goodwill-backed cleantech job accelerator celebrates Houston launch

Goodwill Houston, in collaboration with Accenture, BlocPower, and Goodwill Industries International hosted a celebration for the Clean Tech Accelerator. Photo courtesy of Accenture

A major nonprofit and a worldwide corporate leader have teamed up to advance cleantech jobs — and the program has officially celebrated its launch in Houston.

Goodwill Houston, in collaboration with Accenture, BlocPower, and Goodwill Industries International hosted a celebration for the Clean Tech Accelerator, an industry-focused full-time free jobs training program that was originally announced last year. The first cohort graduated earlier this year, and the second is ongoing.

"Through the CTA, we want to shape the future of sustainable energy in Houston by recruiting underrepresented jobseekers and equipping them with technical proficiency, safety and clean tech certifications, and facilitating placement with local employers," a representative from Accenture states in an email. "Following a quiet initial launch, this event was the official kickoff."

The event also demonstrated the opportunities within the CTA program for job seekers to prepare for the most in-demand clean energy careers in Houston. The accelerator is targeting a specific set of advanced energy jobs — the 40 percent that don't require college degrees and and pay more than the median salary in the United States.

According to Accenture and Goodwill, the plan is to grow the program to 20 cities in the next seven years and train an estimated 7,000 job seekers. The program, which was co-designed by Accenture, will be run by Goodwill. Participants identified as under and unemployed individuals and accepted into the program will be compensated as they undergo the training and career placement services.

"As our labor market transitions, we see important opportunities for people to move into more promising roles with better pay. It is essential that we provide the training and other support needed to ensure people capture these opportunities," Steve Preston, president and CEO of Goodwill Industries International, says in a news release announcing the program. "The Goodwill Clean Tech Accelerator will open doors for people in an expanding industry and provide support to employers who are helping us transition to a more sustainable world."

Members of the first two classes of the program were present at the event. Photo courtesy of Accenture

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This article originally ran on InnovationMap.

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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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