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Houston-led project earns $1 million in federal funding for flood research

team work

A team of Texas researchers has landed a nearly $1 million NSF grant to address rural flood management challenges with community input. Photo via Getty Images.

A team from Rice University, the University of Texas at Austin and Texas A&M University have been awarded a National Science Foundation grant under the CHIRRP—or Confronting Hazards, Impacts and Risks for a Resilient Planet—program to combat flooding hazards in rural Texas.

The grant totals just under $1 million, according to a CHIRRP abstract.

The team is led by Avantika Gori, assistant professor of civil and environmental engineering at Rice. Other members include Rice’s James Doss-Gollin, Andrew Juan at Texas A&M University and Keri Stephens at UT Austin.

Researchers from Rice’s Severe Storm Prediction, Education and Evacuation from Disasters Center and Ken Kennedy Institute, Texas A&M’s Institute for A Disaster Resilient Texas and the Technology & Information Policy Institute at UT Austin are part of the team as well.

Their proposal includes work that introduces a “stakeholder-centered framework” to help address rural flood management challenges with community input.

“Our goal is to create a flood management approach that truly serves rural communities — one that’s driven by science but centers around the people who are impacted the most,” Gori said in a news release.

The project plans to introduce a performance-based system dynamics framework that integrates hydroclimate variability, hydrology, machine learning, community knowledge, and feedback to give researchers a better understanding of flood risks in rural areas.

The research will be implemented in two rural Texas areas that struggle with constant challenges associated with flooding. The case studies aim to demonstrate how linking global and regional hydroclimate variability with local hazard dynamics can work toward solutions.

“By integrating understanding of the weather dynamics that cause extreme floods, physics-based models of flooding and AI or machine learning tools together with an understanding of each community’s needs and vulnerabilities, we can better predict how different interventions will reduce a community’s risk,” Doss-Gollin said in a news release.

At the same time, the project aims to help communities gain a better understanding of climate science in their terms. The framework will also consider “resilience indicators,” such as business continuity, transportation access and other features that the team says more adequately address the needs of rural communities.

“This work is about more than flood science — it’s also about identifying ways to help communities understand flooding using words that reflect their values and priorities,” said Stephens. “We’re creating tools that empower communities to not only recover from disasters but to thrive long term.”

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OpenSafe.AI, a new platform that utilizes AI, data, and hazard and resilience models to support storm response decision makers, has secured an NSF grant. Photo via Getty Images

Houston-area researchers score $1.5M grant to develop storm response tech platform

fresh funding

Researchers from Rice University have secured a $1.5 million grant from the National Science Foundation to continue their work on improving safety and resiliency of coastal communities plagued by flooding and hazardous weather.

The Rice team of engineers and collaborators includes Jamie Padgett, Ben Hu, and Avantika Gori along with David Retchless at Texas A&M University at Galveston. The researchers are working in collaboration with the Severe Storm Prediction, Education and Evacuation from Disasters (SSPEED) Center and the Ken Kennedy Institute at Rice and A&M-Galveston’s Institute for a Disaster Resilient Texas.

Together, the team is developing and hopes to deploy “Open-Source Situational Awareness Framework for Equitable Multi-Hazard Impact Sensing using Responsible AI,” or OpenSafe.AI, a new platform that utilizes AI, data, and hazard and resilience models "to provide timely, reliable and equitable insights to emergency response organizations and communities before, during and after tropical cyclones and coastal storm events," reads a news release from Rice.

“Our goal with this project is to enable communities to better prepare for and navigate severe weather by providing better estimates of what is actually happening or might happen within the next hours or days,” Padgett, Rice’s Stanley C. Moore Professor in Engineering and chair of the Department of Civil and Environmental Engineering, says in the release. “OpenSafe.AI will take into account multiple hazards such as high-speed winds, storm surge and compound flooding and forecast their potential impact on the built environment such as transportation infrastructure performance or hazardous material spills triggered by severe storms.”

OpenSafe.AI platform will be developed to support decision makers before, during, and after a storm.

“By combining cutting-edge AI with a deep understanding of the needs of emergency responders, we aim to provide accurate, real-time information that will enable better decision-making in the face of disasters,” adds Hu, associate professor of computer science at Rice.

In the long term, OpenSafe.AI hopes to explore how the system can be applied to and scaled in other regions in need of equitable resilience to climate-driven hazards.

“Our goal is not only to develop a powerful tool for emergency response agencies along the coast but to ensure that all communities ⎯ especially the ones most vulnerable to storm-induced damage ⎯ can rely on this technology to better respond to and recover from the devastating effects of coastal storms,” adds Gori, assistant professor of civil and environmental engineering at Rice.

A Rice University study will consider how "design strategies aimed at improving civic engagement in stormwater infrastructure could help reduce catastrophic flooding." Photo via Getty Images

Houston university to lead new NSF-back flooding study

risk mitigation

Houston will be the setting of a new three-year National Science Foundation-funded study that focuses on a phenomenon the city is quite familiar with: flooding.

Conducted by Rice University, the study will consider how "design strategies aimed at improving civic engagement in stormwater infrastructure could help reduce catastrophic flooding," according to a statement.

The team will begin its research in the Trinity/Houston Gardens neighborhood and will implement field research, participatory design work and hydrological impact analyses.

Rice professor of anthropology Dominic Boyer and Rice's Gus Sessions Wortham Professor of Architecture Albert Pope are co-principal investigators on the study. They'll be joined by Phil Bedient, director of the Severe Storm Prediction, Education and Evacuation from Disasters Center at Rice, and Jessica Eisma, a civil engineer at the University of Texas at Arlington.

According to Boyer, the study will bring tougher researchers from across disciplines as well as community members and even elementary-aged students.

"Our particular focus will be on green stormwater infrastructure—techniques like bioswale, green roofs and rain gardens—that are more affordable than conventional concrete infrastructure and ones where community members can be more directly involved in the design and implementation phases,” Boyer said. “We envision helping students and other community members design and complete projects like community rain gardens that offer a variety of beneficial amenities and can also mitigate flooding.”

Rice's Severe Storm Prediction, Education and Evacuation from Disasters Center, or SSPEED Center, is a leader in flood mitigation research and innovation.

In 2021, the center developed its FIRST radar-based flood assessment, mapping, and early-warning system based on more than 350 maps that simulate different combinations of rainfall over various areas of the watershed. The system was derived from the Rice/Texas Medical Center Flood Alert System (FAS), which Bedient created 20 years ago. Click here to read more.

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Rice researchers' quantum breakthrough could pave the way for next-gen superconductors

new findings

A new study from researchers at Rice University, published in Nature Communications, could lead to future advances in superconductors with the potential to transform energy use.

The study revealed that electrons in strange metals, which exhibit unusual resistance to electricity and behave strangely at low temperatures, become more entangled at a specific tipping point, shedding new light on these materials.

A team led by Rice’s Qimiao Si, the Harry C. and Olga K. Wiess Professor of Physics and Astronomy, used quantum Fisher information (QFI), a concept from quantum metrology, to measure how electron interactions evolve under extreme conditions. The research team also included Rice’s Yuan Fang, Yiming Wang, Mounica Mahankali and Lei Chen along with Haoyu Hu of the Donostia International Physics Center and Silke Paschen of the Vienna University of Technology. Their work showed that the quantum phenomenon of electron entanglement peaks at a quantum critical point, which is the transition between two states of matter.

“Our findings reveal that strange metals exhibit a unique entanglement pattern, which offers a new lens to understand their exotic behavior,” Si said in a news release. “By leveraging quantum information theory, we are uncovering deep quantum correlations that were previously inaccessible.”

The researchers examined a theoretical framework known as the Kondo lattice, which explains how magnetic moments interact with surrounding electrons. At a critical transition point, these interactions intensify to the extent that the quasiparticles—key to understanding electrical behavior—disappear. Using QFI, the team traced this loss of quasiparticles to the growing entanglement of electron spins, which peaks precisely at the quantum critical point.

In terms of future use, the materials share a close connection with high-temperature superconductors, which have the potential to transmit electricity without energy loss, according to the researchers. By unblocking their properties, researchers believe this could revolutionize power grids and make energy transmission more efficient.

The team also found that quantum information tools can be applied to other “exotic materials” and quantum technologies.

“By integrating quantum information science with condensed matter physics, we are pivoting in a new direction in materials research,” Si said in the release.

Oxy subsidiary granted landmark EPA permits for carbon capture facility

making progress

Houston’s Occidental Petroleum Corp., or Oxy, and its subsidiary 1PointFive announced that the U.S Environmental Protection Agency approved its Class VI permits to sequester carbon dioxide captured from its STRATOS Direct Air Capture (DAC) facility near Odessa. These are the first such permits issued for a DAC project, according to a news release.

The $1.3 billion STRATOS project, which 1PointFive is developing through a joint venture with investment manager BlackRock, is designed to capture up to 500,000 metric tons of CO2 annually and is expected to begin commercial operations this year. DAC technology pulls CO2 from the air at any location, not just where carbon dioxide is emitted. Major companies, such as Microsoft and AT&T, have secured carbon removal credit agreements through the project.

The permits are issued under the Safe Drinking Water Act's Underground Injection Control program. The captured CO2 will be stored in geologic formations more than a mile underground, meeting the EPA’s review standards.

“This is a significant milestone for the company as we are continuing to develop vital infrastructure that will help the United States achieve energy security,” Vicki Hollub, Oxy president and CEO, said in a news release.“The permits are a catalyst to unlock value from carbon dioxide and advance Direct Air Capture technology as a solution to help organizations address their emissions or produce vital resources and fuels.”

Additionally, Oxy and 1PointFive announced the signing of a 25-year offtake agreement for 2.3 million metric tons of CO2 per year from CF Industries’ upcoming Bluepoint low-carbon ammonia facility in Ascension Parish, Louisiana.

The captured CO2 will be transported to and stored at 1PointFive’s Pelican Sequestration Hub, which is currently under development. Eventually, 1PointFive’s Pelican hub in Louisiana will include infrastructure to safely and economically sequester industrial emissions in underground geologic formations, similar to the STRATOS project.

“CF Industries’ and its partners' confidence in our Pelican Sequestration Hub is a validation of our expertise managing carbon dioxide and how we collaborate with industrial organizations to become their commercial sequestration partner,” Jeff Alvarez, President of 1PointFive Sequestration, said in a news release.

1PointFive is storing up to 20 million tons of CO2 per year, according to the company.

“By working together, we can unlock the potential of American manufacturing and energy production, while advancing industries that deliver high-quality jobs and economic growth,” Alvarez said in a news release.

Houston energy-focused AI platform raises $5M in Mercury-led seed round

fresh funding

Houston-based Collide, a provider of generative artificial intelligence for the energy sector, has raised $5 million in seed funding led by Houston’s Mercury Fund.

Other investors in the seed round include Bryan Sheffield, founder of Austin-based Parsley Energy, which was acquired by Dallas-based Pioneer Natural Resources in 2021; Billy Quinn, founder and managing partner of Dallas-based private equity firm Pearl Energy Investments; and David Albin, co-founder and former managing partner of Dallas-based private equity firm NGP Capital Partners.

“(Collide) co-founders Collin McLelland and Chuck Yates bring a unique understanding of the oil and gas industry,” Blair Garrou, managing partner at Mercury, said in a news release. “Their backgrounds, combined with Collide’s proprietary knowledge base, create a significant and strategic moat for the platform.”

Collide, founded in 2022, says the funding will enable the company to accelerate the development of its GenAI platform. GenAI creates digital content such as images, videos, text, and music.

Originally launched by Houston media organization Digital Wildcatters as “a professional network and digital community for technical discussions and knowledge sharing,” the company says it will now shift its focus to rolling out its enterprise-level, AI-enabled solution.

Collide explains that its platform gathers and synthesizes data from trusted sources to deliver industry insights for oil and gas professionals. Unlike platforms such as OpenAI, Perplexity, and Microsoft Copilot, Collide’s platform “uniquely accesses a comprehensive, industry-specific knowledge base, including technical papers, internal processes, and a curated Q&A database tailored to energy professionals,” the company said.

Collide says its approximately 6,000 platform users span 122 countries.

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