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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Texas ranks as top U.S. manufacturing hub, behind only one state

By The Numbers

Texas ranks among the country’s biggest hubs for manufacturing, according to a new study.

The study, conducted by Chinese manufacturing components supplier YIJIN Hardware, puts Texas at No. 2 among the states when it comes to manufacturing-hub status. California holds the top spot.

YIJIN crunched data from the U.S. Census Bureau, International Trade Administration, and National Association of Manufacturers to analyze manufacturing activity in each state. The study weighed factors such as number of manufacturing establishments, number of manufacturing employees, total value of manufacturing output, total manufacturing exports and manufacturing’s share of a state’s gross domestic product.

Here are Texas’ figures for those categories:

  • 19,526 manufacturing establishments
  • 847,470 manufacturing employees
  • Total manufacturing output of $292.6 billion
  • Total manufacturing exports of $291.9 billion
  • 11.3 percent share of state GDP

According to Texas Economic Development & Tourism, the state’s largest manufacturing sectors include automotive, tech, petroleum, chemicals, and food and beverage.

“The Lone Star State is truly a manufacturing powerhouse,” the state agency says.

In an October speech, Texas Gov. Greg Abbott praised the state’s robust manufacturing industry.

“We are proud that Texas is home to a booming manufacturing sector,” he said. “Thanks to our strong manufacturing sector, ‘Made in Texas’ has never been a bigger brand.”

Houston is a cornerstone of Texas’ manufacturing industry. The region produces more than $75 billion worth of goods each year, according to the Greater Houston Partnership. That makes Houston the second-ranked U.S. metro area for manufacturing GDP. The more than 7,000 manufacturing establishments in the area employ over 223,000 people.

“As one of the most important industrial bases in the world, Houston has access to many global markets thanks to its central location within the U.S. and the Americas,” the partnership says.

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This story originally appeared on our sister site, EnergyCapitalHTX.

Houston's top 25 business and civic leaders named by local organization

HTown leaders

As part of its 25th anniversary celebrations, the Center for Houston’s Future has named its first-ever group of Top 25 Business/Civic Leadership Forum Alumni, including energy transition CEOs and legendary craft brewery founders.

The group was selected from among 1,400 alumni of the Center for Houston's Future's Leadership Forum, which hosts two cohorts per year, bringing together leaders from across industries to focus on issues critical to the long-term success of Greater Houston.

The individuals will be honored throughout the year, starting with an event this Thursday, March 20, at the Junior League of Houston called Leaders for Houston’s Future: Women Who Stand Apart, and culminating in the signature Dinner & Conversation event this fall.

Earlier this year, the organization selected an honor roll of 75 Leaders Who Stand Apart before naming the list of 25. See the honor roll here.

“Both our Top 25 and the honor roll of 75 Leaders are a testament to the amazing group of leaders working for the good of our region every day,” David Gow, the center’s CEO and president, said in a statement. “They are also a reflection of the Center’s historical and ongoing commitment to develop, inspire and connect leaders across all facets of our region.

Gow is the founder and chairman of Gow Media, InnovationMap's parent company.

The Top 25 Business/Civic Leadership Forum Alumni list includes:

  • Laura Bellows, president and board chairman, W.S. Bellows Construction
  • Richard Campo, chairman and CEO, Camden Property Trust
  • Anne Chao, co-founder, Houston Asian American Archive
  • Donna Cole, founder, president and CEO, Cole Chemical & Distributing
  • Suzan Deison, CEO, president and founder, Greater Houston Women's Chamber of Commerce
  • Amanda Edwards, principal, The Community Based Solutions Firm
  • Bob Eury, retired president and CEO, Central Houston, Inc.
  • Sidney Evans II, senior advisor, business affairs, Reliant Energy
  • Roland Garcia, shareholder, Greenberg Traurig LLP
  • Cullen Geiselman, board chair, Houston Parks Board
  • Bernard Harris Jr., former NASA astronaut
  • Winell Herron, senior vice president of public affairs, diversity and environmental affairs, H-E-B
  • Paul Hobby, founder and managing director, Genesis Park
  • Laura Jaramillo, executive director, LISC
  • Melanie Johnson, president and CEO, Collaborative for Children
  • Laura Murillo, president and CEO, Houston Hispanic Chamber of Commerce
  • Wilhelmina "Beth" Robertson, president, Cockspur, Inc. and Westview Development Inc.
  • Judson Robinson III, president and CEO, Houston Area Urban League
  • Kimberly Sterling, principal, Sterling for Good
  • Y. Ping Sun, of counsel, Yetter Coleman LLP
  • Bobby Tudor, founder and CEO, Artemis Energy Partners
  • Brock Wagner, founder, Saint Arnold Brewing Company
  • Barron Wallace, public finance partner and practice group co-Head, Bracewell LLP
  • Marc Watts, president, The Friedkin Group
  • Beth Wolff, founder and chairman, Beth Wolff Realtors

Eury, Sun and Wolff serve on the center’s board of directors.

“I’m grateful to be included on the Top 25,” Wolff said in the release. “I cannot stress enough what an extraordinary opportunity it is to participate in the Leadership Forum and focus on Houston’s future. Fellow cohort members become friends and colleagues working together in service of the community.”

This week's panel will feature Cole, Geiselman and Herron. They will be joined by Lharissa Jacobs, executive director of Fit Houston, who made the top 75 list. Frances Castañeda Dyess, president of the Houston East End Chamber of Commerce, will moderate.

California-based healthcare co. expands to Houston with new bioskills lab

med skills

Axis Research & Technologies, a California-based healthcare innovation solutions and medical research company, has expanded into the Houston area via a new 10,800-square-foot bioskills lab in Shenandoah last month.

The facility includes a main lab that’s configurable into a single space with over 20 stations, two more lab suites for specialized bioskills training, a conference room for presentations and a large multipurpose area.

Medical professionals can simulate a fully functional operating room in the lab for training and education. It also has the capability of handling cadaver specimens.

The company says the new facility aims to serve surgeons, medical device companies, hospitals and research institutions.

Axis was attracted to Houston thanks to the Texas Medical Center and other world-class medical groups, according to a release from the company. The facility in Shenandoah will be near medical facilities in The Woodlands.

“We are thrilled to expand into the Houston market,” Jill Goodwin, COO of Axis, said in a news release. “This new facility was driven by demand from our clients who have expressed a need for a high-quality bioskills lab in Houston. We repeatedly heard this feedback at the most recent American Academy of Orthopaedic Surgeons (AAOS) conference, which reinforced our decision to bring Axis to the region.”

Axis hosted its first lab event at its Houston-area venue on Feb. 22. The facility is currently accepting bookings for medical trainings, research collaborations and use of its bioskills lab.

“Our goal is to create an environment where groundbreaking medical advancements can take place,” Goodwin added in a news release. “Houston is home to one of the largest medical communities in the country, making it a perfect fit for our expansion.”

Axis' other bioskills labs are located in Nasvhille; Irvine, California; and Columbia, Maryland.