Sylvia Dee and Richard Gordon, two Rice University scientists, have earned awards from the American Geophysical Union. Photos courtesy Rice University.

Two Rice University professors have been recognized by the American Geophysical Union, one of the world’s largest associations for Earth and space science.

Rice climatologist Sylvia Dee was awarded the 2025 Nanne Weber Early Career Award by the AGU’s Paleoceanography and Paleoclimatology Section. Richard Gordon, a Rice professor of geophysics also received the 2025 Walter H. Bucher Medal by the AGU. They will both be recognized at the AGU25 event on Dec.15-19 in New Orleans.

The Nanne Weber Early Career Award recognizes contributions to paleoceanography and paleoclimatology research by scientists within 10 years of receiving their doctorate.

“Paleoclimate research provides essential context for understanding Earth’s climate system and its future under continued greenhouse warming," Dee said in a news release. “By studying how climate has evolved naturally in the past, we can better predict the risks and challenges that lie ahead.”

Dee’s work explores how Earth’s natural modes of variability interact with the changing climate and lead to extreme weather. It shows how these interactions can add to climate risks, like flooding and rainfall patterns all around the world.

The Bucher Medal is awarded to just one scientist for their original contributions to the knowledge of the Earth’s crust and lithosphere.

Gordon’s research has reshaped how scientists understand the movement and interaction of Earth’s tectonic plates. He helped reveal the existence of diffuse plate boundaries—areas where the planet’s crust slowly deforms across broad regions instead of along a single fault line. His work also explored true polar wander, a phenomenon in which Earth gradually shifts its orientation relative to its spin axis.

Gordon introduced the concept of paleomagnetic Euler poles, a method for tracing how tectonic plates have moved over millions of years. He also led the development of major global plate motion models, including NUVEL (Northwestern University Velocity) and MORVEL (Mid-Ocean Ridge Velocity).

“Receiving the Walter Bucher Medal is a profound honor,” Gordon said in a news release. “To be included on a list of past recipients whose work I have long admired makes this recognition especially meaningful. There are still countless mysteries about how our planet works, and I look forward to continuing to explore them alongside the next generation of scientists.”

The UH team is developing ways to use machine learning to ensure that power systems can continue to run efficiently when pulling their energy from wind and solar sources. Photo via Getty Images

Houston researcher scores prestigious NSF award for machine learning, power grid tech

grant funding

An associate professor at the University of Houston received the highly competitive National Science Foundation CAREER Award earlier this month for a proposal focused on integrating renewable resources to improve power grids.

The award grants more than $500,000 to Xingpeng Li, assistant professor of electrical and computer engineering and leader of the Renewable Power Grid Lab at UH, to continue his work on developing ways to use machine learning to ensure that power systems can continue to run efficiently when pulling their energy from wind and solar sources, according to a statement from UH. This work has applications in the events of large disturbances to the grid.

Li explains that currently, power grids run off of converted, stored kinetic energy during grid disturbances.

"For example, when the grid experiences sudden large generation losses or increased electrical loads, the stored kinetic energy immediately converted to electrical energy and addressed the temporary shortfall in generation,” Li said in a statement. “However, as the proportion of wind and solar power increases in the grid, we want to maximize their use since their marginal costs are zero and they provide clean energy. Since we reduce the use of those traditional generators, we also reduce the power system inertia (or stored kinetic energy) substantially.”

Li plans to use machine learning to create more streamlined models that can be implemented into day-ahead scheduling applications that grid operators currently use.

“With the proposed new modeling and computational approaches, we can better manage grids and ensure it can supply continuous quality power to all the consumers," he said.

In addition to supporting Li's research and model creations, the funds will also go toward Li and his team's creation of a free, open-source tool for students from kindergarten up through their graduate studies. They are also developing an “Applied Machine Learning in Power Systems” course. Li says the course will help meet workforce needs.

The CAREER Award recognizes early-career faculty members who “have the potential to serve as academic role models in research and education and to lead advances in the mission of their department or organization,” according to the NSF. It's given to about 500 researchers each year.

Earlier this year, Rice assistant professor Amanda Marciel was also granted an NSF CAREER Award to continue her research in designing branch elastomers that return to their original shape after being stretched. The research has applications in stretchable electronics and biomimetic tissues.

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This article originally ran on EnergyCapital.

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Texas residents earn 11th highest income in U.S., says 2026 study

Money Matters

A new WalletHub study comparing income disparities across America has ranked Texas residents No. 11 on the list of states with the highest earning residents in the nation.

The report, "States Where People Have the Highest Income (2026)," analyzed U.S. Census Bureau income data in all 50 states and the District of Columbia. The report evaluated the average annual income of the top five percent, the median annual household income, and the average annual income of the bottom 20 percent of residents in every state, all adjusted for the cost of living.

The report's data revealed the top five percent of Texans, the highest earners, make $520,378 on average yearly after adjusting for the cost of living. That's the seventh-highest income among the top five percent of earners nationwide.

Meanwhile, the median annual income of a Texas household is just under $76,000. The bottom 20 percent of Texas residents make $17,651 a year, the report found.

For additional context, the latest data from the Federal Reserve shows an American household's median yearly income is about $83,700. WalletHub analyst Chip Lupo also found that the highest earning 10 percent of individuals in the U.S. earn over 12 times more than those in the lowest-earning 10 percent, based on the latest Census data.

"By measuring the income of various percentiles against a state's median income, we can better identify where income disparities are more prevalent, which could help us better understand why residents of certain states struggle more to make ends meet," said Lupo.

Virginia is the state where residents earn the highest income in the U.S., WalletHub said. Based on the report's findings, the top five percent of Virginians make $545,097 on average per year after adjusting for the cost of living. The median annual income of a Virginia household comes out to $95,339, and the bottom 20 percent of residents make $19,671 annually on average.

Conversely, West Virginia is the state where people have the lowest income in the U.S. A West Virginia household makes a median annual income of $56,610, the third-lowest nationally, and the bottom 20 percent of residents make $13,260 on average per year, which is the fifth-lowest in the nation. The top five percent of West Virginians make $372,218 on average per year.

The top 10 states where residents have the highest income are:

  • No. 1 – Virginia
  • No. 2 – New York
  • No. 3 – New Jersey
  • No. 4 – Washington
  • No. 5 – Connecticut
  • No. 6 – Utah
  • No. 7 – Colorado
  • No. 8 – Minnesota
  • No. 9 – Illinois
  • No. 10 – Massachusetts

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This article originally appeared on CultureMap.com.

23 Houston companies rank among America’s most future-ready businesses

future focused

By one measure, Spring-based tech giant Hewlett Packard Enterprises reigns as the most future-ready Houston-area company on the S&P 500 stock index.

HPE sits at No. 72 in a first-time ranking of the best S&P 500 companies for the future. Including HPE, 23 Houston-area companies appear on the list.

Published by The Wall Street Journal, the ranking was created by Bendable Labs for the WSJ Leadership Institute. It evaluates how S&P 500 companies stack up in six areas: AI readiness, innovation, talent readiness, financial fitness, resilience and agility. To be ranked, a company had to be part of the S&P 500 as of Dec. 31.

Among the six categories, HPE ranked highest for innovation (No. 30) among local companies. The WSJ didn’t say why HPE scored so well for innovation. However, the company stands out in this category thanks to:

  • Creation of the El Capitan and Frontier supercomputing systems
  • Research into photonic computing and quantum networking
  • Last year’s $14 billion acquisition of Juniper Networks, giving HPE an edge in AI-native networking
  • Establishment of the everything-as-a-service GreenLake hybrid cloud platform for data centers, colocation facilities and edge computing environments

In an interview with the Six Five podcast at HPE Discover 2025 in Las Vegas, CEO Antonio Neri said the company’s strategy is “basically founded on innovation, and that innovation drives shareholder value over the long term.”

While HPE fared well in the innovation category, it ranked toward the bottom for financial fitness. What’s behind the No. 430 ranking in the financial category? HPE’s low score likely reflects a debt-heavy acquisition strategy coupled with a historically low-margin hardware business.

Here’s the full list of the 23 Houston-area companies included in the ranking of the best companies for the future:

  • No. 72 Hewlett Packard Enterprise
  • No. 105 SLB
  • No. 120 Baker Hughes
  • No. 125 ConocoPhillips
  • No. 158 NRG Energy
  • No. 176 Targa Resources
  • No. 185 Chevron
  • No. 195 Halliburton
  • No. 223 Coterra Energy
  • No. 229 Waste Management
  • No. 235 Exxon Mobil
  • No. 250 Kinder Morgan
  • No. 257 Quanta Services
  • No. 276 CenterPoint Energy
  • No. 285 Sysco
  • No. 313 Occidental Petroleum
  • No. 318 Camden Property Trust
  • No. 333 EOG Resources
  • No. 365 LyondellBasell Industries
  • No. 373 Comfort Systems USA
  • No. 401 Crown Castle
  • No. 408 Phillips 66
  • No. 500 APA

Uber, Nuro and Lucid plan to roll out robotaxi services in Houston

autonomous autos

More autonomous vehicles are expected to hit the roads in Houston next year.

Ridesharing giant Uber announced that it plans to roll out its premium robotaxi service in the Bayou City in mid-2027. Houston will be Uber’s second planned market for the program, following the San Francisco Bay Area, where the program is expected to be rolled out later this year.

Uber, Nuro and Lucid Group will bring the robotaxi program to Houston with more markets planned for the future. Currently, Nuro is conducting autonomous on-road testing with safety operators in Houston. Testing includes simulation, closed-course testing and supervised public-road testing.

“Houston is a city Nuro knows well, and we’re excited to help bring this robotaxi service to the city through our partnership with Uber and Lucid,” Andrew Chapin, chief operating officer at Nuro, said in a news release. “Houston’s large, complex metro area is an ideal market for demonstrating how Nuro’s universal autonomy platform can generalize across different geographies and operating environments. We look forward to continued engagement with the community as we prepare to launch service in 2027.”

The fleet of 100 vehicles across California and Texas will feature Lucid Gravity EVs and future Lucid Midsize vehicles equipped with Nuro Driver technology, Nuro’s Level 4 universal autonomy platform, plus a redundant sensor suite with cameras, lidar, radar and a roof-mounted halo.

The vehicles will be owned and operated by Uber and its fleet partners and made available to riders through the Uber network, according to the company.

In addition to the fleet of autonomous vehicles, Uber also announced that it has secured a 50,000-square-foot depot facility and dedicated charging pitstop in Houston. The facility will allow Uber and its partners to control vehicle maintenance, repairs, charging, cleaning, and day-to-day operations.

“Houston marks an important next step in our partnership with Lucid and Nuro as we expand autonomous mobility to more riders throughout the world,” Sarfraz Maredia, global head of autonomous mobility & delivery at Uber, added in the release. “Together, we’re combining best-in-class vehicle and autonomy technology with Uber’s scale, fleet operations expertise, and infrastructure capabilities to build a service that can grow across dozens of markets in the years ahead.”

Waymo launched its autonomous vehicle program in Houston in February.

The company later suspended its driverless car services in Houston, other major Texas cities, and Atlanta, after one of its vehicles was stranded by flooding during heavy rains. However, according to the Houston Chronicle, the fleet has resumed activity in Houston and is fully active.