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 by Eric Turnquist

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.

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This article originally ran on EnergyCapital.

Angela Wilkins joins the Houston Innovators Podcast to discuss the intersection of data and health care. Photo courtesy

Houston data scientist joins medical device startup amid AI evolution in the sector

HOUSTON INNOVATORS PODCAST EPISODE 241

When most people hear about Houston startup Starling Medical, they might think about how much potential the medical device company has in the field of urinalysis diagnostics. But that's not quite where Angela Wilkins's head went.

Wilkins explains on the Houston Innovators Podcast that when she met the company's co-founders, Hannah McKenney and Drew Hendricks, she recognized them as very promising startup leaders taking action on a real health care problem. Starling's device can collect urine and run diagnostics right from a patient's toilet.

"It was one of those things where I just thought, 'They're going to get a bunch of data soon,'" Wilkins says. "The opportunity is just there, and I was really excited to come on and build their AI platform and the way they are going to look at data."

For about a year, Wilkins supported the startup as an adviser. Now, she's working more hands on as chief data officer as the company grows.



Wilkins, who serves as a mentor and adviser for several startups, has a 20-year career in Houston across all sides of the innovation equation, working first at Baylor College of Medicine before co-founding Mercury Data Science — now OmniScience. Most recently she served as executive director of the Ken Kennedy Institute at Rice University.

This variety in her resume makes her super connective — a benefit to all the startups she works with, she explains. The decision to transition to a startup team means she gets to work hands on in building a technology — while bringing in her experience from other institutions.

"I think I've really learned how to partner with those institutions," she says on the show. "I've really learned how to make those bridges, and that's a big challenge that startups face."

"When we talk about the Houston innovation ecosystem, it's something we should be doing better at because we have so many startups and so many places that would like to use better technology to solve problems," she continues.

Wilkins has data and artificial intelligence on the mind in everything she does, and she even serves on a committee at the state level to learn and provide feedback on how Texas should be regulating AI.

"At the end of the day, the mission is to put together a report and strategy on how we think Texas should think about AI," she explains. "It's beyond just using an algorithm, they need infrastructure."

Colorado is the first state to pass legislation surrounding AI, and Wilkins says all eyes are on how execution of that new law will go.

"We should have technology that can be double checked to make sure we're applying it in a way that's fair across all demographics. It's obvious that we should do that — it's just very hard," she says.

"Better and personalized healthcare through AI is still a hugely challenging problem that will take an army of scientists and engineers." Photo via UH.edu

Houston expert explains health care's inequity problem

guest column

We are currently in the midst of what some have called the "wild west" of AI. Though healthcare is one of the most heavily regulated sectors, the regulation of AI in this space is still in its infancy. The rules are being written as we speak. We are playing catch-up by learning how to reap the benefits these technologies offer while minimizing any potential harms once they've already been deployed.

AI systems in healthcare exacerbate existing inequities. We've seen this play out into real-world consequences from racial bias in the American justice system and credit scoring, to gender bias in resume screening applications. Programs that are designed to bring machine "objectivity" and ease to our systems end up reproducing and upholding biases with no means of accountability.

The algorithm itself is seldom the problem. It is often the data used to program the technology that merits concern. But this is about far more than ethics and fairness. Building AI tools that take account of the whole picture of healthcare is fundamental to creating solutions that work.

The Algorithm is Only as Good as the Data

By nature of our own human systems, datasets are almost always partial and rarely ever fair. As Linda Nordling comments in a Nature article, A fairer way forward for AI in healthcare, "this revolution hinges on the data that are available for these tools to learn from, and those data mirror the unequal health system we see today."

Take, for example, the finding that Black people in US emergency rooms are 40 percent less likely to receive pain medication than are white people, and Hispanic patients are 25 percent less likely. Now, imagine the dataset these findings are based on is used to train an algorithm for an AI tool that would be used to help nurses determine if they should administer pain relief medication. These racial disparities would be reproduced and the implicit biases that uphold them would remain unquestioned, and worse, become automated.

We can attempt to improve these biases by removing the data we believe causes the bias in training, but there will still be hidden patterns that correlate with demographic data. An algorithm cannot take in the nuances of the full picture, it can only learn from patterns in the data it is presented with.

Bias Creep

Data bias creeps into healthcare in unexpected ways. Consider the fact that animal models used in laboratories across the world to discover and test new pain medications are almost entirely male. As a result, many medications, including pain medication, are not optimized for females. So, it makes sense that even common pain medications like ibuprofen and naproxen have been proven to be more effective in men than women and that women tend to experience worse side effects from pain medication than men do.

In reality, male rodents aren't perfect test subjects either. Studies have also shown that both female and male rodents' responses to pain levels differ depending on the sex of the human researcher present. The stress response elicited in rodents to the olfactory presence of a sole male researcher is enough to alter their responses to pain.

While this example may seem to be a departure from AI, it is in fact deeply connected — the current treatment choices we have access to were implicitly biased before the treatments ever made it to clinical trials. The challenge of AI equity is not a purely technical problem, but a very human one that begins with the choices that we make as scientists.

Unequal Data Leads to Unequal Benefits

In order for all of society to enjoy the many benefits that AI systems can bring to healthcare, all of society must be equally represented in the data used to train these systems. While this may sound straightforward, it's a tall order to fill.

Data from some populations don't always make it into training datasets. This can happen for a number of reasons. Some data may not be as accessible or it may not even be collected at all due to existing systemic challenges, such as a lack of access to digital technology or simply being deemed unimportant. Predictive models are created by categorizing data in a meaningful way. But because there's generally less of it, "minority" data tends to be an outlier in datasets and is often wiped out as spurious in order to create a cleaner model.

Data source matters because this detail unquestionably affects the outcome and interpretation of healthcare models. In sub-Saharan Africa, young women are diagnosed with breast cancer at a significantly higher rate. This reveals the need for AI tools and healthcare models tailored to this demographic group, as opposed to AI tools used to detect breast cancer that are only trained on mammograms from the Global North. Likewise, a growing body of work suggests that algorithms used to detect skin cancer tend to be less accurate for Black patients because they are trained mostly on images of light-skinned patients. The list goes on.

We are creating tools and systems that have the potential to revolutionize the healthcare sector, but the benefits of these developments will only reach those represented in the data.

So, what can be done?

Part of the challenge in getting bias out of data is that high volume, diverse and representative datasets are not easy to access. Training datasets that are publicly available tend to be extremely narrow, low-volume, and homogenous—they only capture a partial picture of society. At the same time, a wealth of diverse health data is captured every day in many healthcare settings, but data privacy laws make accessing these more voluminous and diverse datasets difficult.

Data protection is of course vital. Big Tech and governments do not have the best track record when it comes to the responsible use of data. However, if transparency, education, and consent for the sharing of medical data was more purposefully regulated, far more diverse and high-volume data sets could contribute to fairer representation across AI systems and result in better, more accurate results for AI-driven healthcare tools.

But data sharing and access is not a complete fix to healthcare's AI problem. Better and personalized healthcare through AI is still a hugely challenging problem that will take an army of scientists and engineers. At the end of the day, we want to teach our algorithms to make good choices but we are still figuring out what good choices should look like for ourselves.

AI presents the opportunity to bring greater personalization to healthcare, but it equally presents the risk of entrenching existing inequalities. We have the opportunity in front of us to take a considered approach to data collection, regulation, and use that will provide a fuller and fairer picture and enable the next steps for AI in healthcare.

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Angela Wilkins is the executive director of the Ken Kennedy Institute at Rice University.

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18 Houstonians land on Forbes world's billionaires list for 2025

World's Richest

The world’s richest people are wealthier now than they've ever been, and more billionaires have made it onto the 2025 World's Billionaires List than ever before, according to Forbes. This year, 18 Houston-based billionaires are among the richest people in the world, with hospitality honcho Tilman Fertitta leading as the richest Houstonian.

Fertitta, 67, ranked No. 220 overall with an estimated net worth of $11.3 billion, which steadily increased from his 2024 net worth of $9.4 billion.

In addition to owning the Houston Rockets, the busy billionaire owns Texas-based hospitality and entertainment corporation Landry's, and he authored a book about business leadership in 2019. He most recently was nominated as the new United States ambassador to Italy by President Donald Trump.

Ranking 248th overall is oil and gas chairmanRichard Kinder. Forbes estimates his net worth at $10.6 billion, up from $8.1 billion in 2024.

Kinder cofounded pipeline giant Kinder Morgan in 1997, and stepped down as CEO in 2015, though he still retains his seat as chairman of the board. The company is the largest energy infrastructure firm in the U.S., Forbes says, and it owns 79,000 miles of pipeline.

New to the 2025 list is Perry Homes executive chair Kathy Britton, whose company has built over 65,000 homes across the U.S., according to Forbes. Her late father, Bob Perry, founded Perry Homes in 1967. Britton ranked No. 1408 with an estimated net worth of $2.6 billion.

Mercedes-Benz mega-dealer Joe Agresti is another newbie to the list, ranking No. 2790 with a net worth of $1.1 billion. He owns Dream Motor Group with former football coach Nick Saban.

14 additional Houston-area billionaires that made Forbes 2025 world’s richest list are:

  • Houston pipeline heir Randa Duncan Williams: ranked No. 307 with an estimated net worth of $9.3 billion, up from $7.7 billion in 2024. Fellow pipeline heirs Dannine Avara and Milane Frantz tie for 311th nationally. Each has an estimated net worth of $9.2 billion, up from $7.6 billion. Scott Duncan ranks No. 329 with a $9 billion estimated net worth, up from $7.6 billion in 2024.
  • Houston oil tycoon Jeffery Hildebrand: ties for No. 411; $7.7 billion, down from $12.6 billion
  • Toyota mega-dealer Dan Friedkin: ties for No. 411; $7.7 billion, up from $6.4 billion
  • Houston Texans owner Janice McNair and family: No. 561, $6.2 billion, up from $5.6 billion
  • Energy exploration chief exec George Bishop: No. 717, $5 billion, up from $3.2 billion (based in The Woodlands)
  • Westlake Corporation co-owners Albert Chao, James Chao and their families:tied for No. 902, $4 billion, down from $4.9 billion
  • Hedge fund honcho John Arnold: No. 1266, $2.9 billion, down from $3.3 billion
  • Houston Astros owner Jim Crane: No. 1513, $2.4 billion, unchanged from 2024
  • Former Houston Rockets owner Leslie Alexander: tied for No. 1850, $1.9 billion, unchanged from 2024
  • Frontier Airlines chairman William Franke: No. 2623, $1.2 billion, down from $1.3 billion

Elsewhere in Texas, Austin-based billionaire Elon Musk topped Forbes' list as the world's richest person in 2025. The Tesla and SpaceX founder knocked French luxury goods magnate Bernard Arnault down to second place this year.

Forbes declared Musk the first person to reach the $300 billion status. His current net worth stands at $342 billion, which is a staggering $147 billion more than his 2024 net worth.

"It’s another record-breaking year for the world’s richest people, despite financial uncertainty for many and geopolitical tensions on the rise," said Forbes senior editor of wealth Chase Peterson-Withorn. "And, from Elon Musk to Howard Lutnick and the other billionaires taking over the U.S. government, they’re growing more and more powerful."

In Dallas-Fort Worth, Walmart heiress Alice Walton became the wealthiest woman in the world in 2025. Forbes declared Walton's net worth at $101 billion, which is $28.7 billion more than her 2024 net worth of $72.3 billion. She is now one of 15 individuals to claim 12-figure fortunes, also known as the "$100 Billion Club."

State-of-the-art innovation hub opens in Houston Energy Corridor

flagship facility

French multinational company Schneider Electric has opened a new 10,500-square-foot, state-of-the-art Energy Innovation Center in Houston.

The new facility is located in Houston’s Energy Corridor and is designed to “foster increased collaboration and technological advancements across the entire value chain,” according to a news release from the company. The new Houston location joins Schneider's existing innovation hubs in Paris, Singapore and Bangalore.

The venue will serve as a training center for process control engineers, production superintendents, manufacturing managers, technical leads and plant operations personnel. It can simulate various real-world scenarios in refineries, combined-cycle power plants, ethylene plants, recovery boilers and chemical reactors.

It includes an interactive control room and artificial Intelligence applications that “highlight the future of industrial automation,” according to the release.

"Digitalization is significantly enhancing the global competitiveness of the U.S. through continuous innovation and increased investment into next-generation technology," Aamir Paul, Schneider Electric's President of North America Operations, said in the release.

Texas has over 4,100 Schneider Electric employees, the most among U.S. states, and has facilities in El Paso, the Dallas-Fort Worth metroplex and other areas.

"This flagship facility in the Energy Capital of the World underscores our commitment to driving the future of software-defined automation for our customers in Houston and beyond,” Paul added in the release. “With this announcement, we are excited to continue supporting the nation's ambitions around competitive, efficient and cost-effective manufacturing."

Schneider Electric says the new Houston facility is part of its expansion plans in the U.S. The company plans to invest over $700 million in its U.S. operations through 2027, which also includes an expansion at its El Paso campus.

The company also announced plans to invest in solar and battery storage systems developed, built, and operated by Houston-based ENGIE North America last year. Read more here.

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This story first appeared on our sister site, EnergyCapitalHTX.com.

9 can't-miss Houston business and innovation events for April

where to be

Two new conferences will launch while another longtime business competition celebrates its 25th anniversary this month in Houston. Plus, there are networking opportunities, family tech events and more.

Here are the Houston business and innovation events you can't miss in April and how to register. Please note: this article might be updated to add more events.

​Ion Block Party: Art Crawl

Network and socialize with other tech enthusiasts and business-minded individuals while taking in the new gallery at Community Artists’ Collective and experiencing the immersive dome at Omnispace360. See work by Joel Zika, who will showcase his digital sculptures through augmented reality screens, and other public art around the Ion while also enjoying food and drink.

This event is Thursday, April 3, from 4-7 p.m. at the Ion. Click here to register.

​CLA Presents: Raising Capital over Happy Hour

Gain a better understanding of the capital-raising process and various funding opportunities at this educational happy hour. Keith Davidson, the market leader for CLA in Dallas and former CFO of ICS, will present.

This event is Thursday, April 10, from 4-6 p.m. at The Cannon. Click here to register.

Rice Business Plan Competition 

The Rice Alliance for Technology and Entrepreneurship will host the 25th annual Rice Business Plan Competition this month. Forty-two student-led teams from around the world, including one team from Rice, will present their plans before more than 300 angel, venture capital, and corporate investors to compete for more than $1 million in prizes.

This event is April 10-12. Stream the Elevator Pitch Competition and Final Round here.

RSVF Annual Conference

The Rice Student Venture Fund will host its first-ever Annual Conference to celebrate the university's entrepreneurial spirit and the rising generation of student-led innovation. The conference will include live startup demos, an RSVF fund update, a keynote fireside chat, a builder-investor panel and networking. RSVF welcomes students, alumni, investors, faculty and staff, and innovators and community members of the broader tech scene.

This event is Monday, April 14, from 4-8 p.m. at the Ion. Click here to register.

​TEX-E Conference

TEX-E will host its inaugural conference this month under the theme "Energy & Entrepreneurship: Navigating the Future of Climate Tech." The half-day conference will feature a keynote from Artemis Energy Partners CEO Bobby Tudor as well as panels with other energy and tech leaders from NRG, Microsoft, GE Vernova and TEB Tech.

This event is Tuesday, April 15, from 1-4:30 p.m. at the Ion. Click here to register.

Houston Methodist Leadership Speaker Series 

Hear from Dr. Jonathan Rogg, Chief Quality Officer and Vice President of Operations at Houston Methodist Hospital and a a practicing emergency medicine physician, at the latest Houston Methodist Leadership Speaker Series. Rogg will present "Leadership from the Bedside to the Boardroom."

This event is on Wednesday, April 23, from 4:45-6 p.m. at the Ion. Click here to register.

Ion Family STEAM Day– Let's Build a Tripwire Alarm

STEAM on Demand will host a hands-on, family-friendly engineering lesson for young ones on the Ion Forum Stairs. Kids will learn to create and test their own working alarm system. The event is geared toward those ages 7 to 14.

This event is Sunday, April 26, from 10 a.m. to noon at the Ion. Click here to register.

 Greentown Houston Fourth Anniversary Transition On Tap

Climatetech incubator Greentown Labs will celebrate its fourth anniversary with a special edition of its signature networking event, Transition On Tap. Entrepreneurs, investors, students, and friends of climatetech are invited to attend.

This event is Tuesday, April 29, from 5:30-7:30 p.m. at Greentown Labs. Click here to register.

Integrate Space Technology Into Your Small Biz

The SBA Houston District Office and the UH Technology Bridge will host a collaborative event designed to help small businesses leverage space technology for prototype development. Attendees will also hear from industry experts on resources and gain access free technical engineering assistance to help accelerate their businesses.

This event is Wednesday, April 30, from 9:30-11:30 a.m. at UH Technology Bridge Innovation Center. Click here to reserve your spot.