Space City Weather released a new flood scale this summer. Photo courtesy of Kinder Institute

UH scientists develop new flood scale for Houston weather resource

Weather Warning

One of the selling points of Houston's Space City Weather (SCW) blog and app has always been its hype-free forecasts. Meteorologists Matt Lanza and Eric Berger inform and soothe the 5 million annual visitors to the site in search of information about the latest weather events around Houston — without hyperbole.

But when severe weather alerts happen, how can SCW reach people in the Greater Houston area in such a way that they know it is time to take action and seek shelter? And when they do, will people understand the best actions to take?

To communicate information with the proper sense of urgency, SCW partnered with University of Houston Professor of Psychology Steven Paul Woods and doctoral student Natalie C. Ridgely to test out the effectiveness of messaging and a new flood scale.



“My lab does work on how people access, understand, and use health information, so I thought we could adapt some of that ongoing work and our expertise in psychological science to answer questions about weather communication, and help keep Houstonians informed and safe,” said Woods.

Woods, Ridgely, and their team recruited 100 Gulf Coast residents for a study and then presented them with weather forecasts that ranged in severity. One group reviewed the previous flood scale model used by Space City Weather that Lanza and Berger felt wasn't conveying enough urgency and information, and another reviewed a new enhanced scale that focused on predictive consumer behavior.

By framing the flood scale in terms of what people should expect to do (fuel vehicles, identify safety routes, etc.), they noticed users were more likely to actually perform preparations.

"People in the weather-protective cue group did a better job of planning for the storms,” said Woods. “We were able to improve flood-protective plans for the people who were at greatest risk of being unprepared.”

SCW has already implemented the new scale on its site as Houston moves further into Atlantic hurricane season. This change will hopefully fulfill SCW's goal of giving residents access to clear information to help them make safety decisions regarding the weather. Each entry on the 1-5 scale offers a simple checklist of safety behaviors, from encouraging the monitoring of emergency frequencies to preparing to move to higher ground. It's simple, but in disastrous situations, sometimes people need to be reminded clearly of simple tasks.

“Frankly, it feels great to be able to expand the Space City Weather Flood Scale to help people take action,” said Lanza.

“One of my biggest concerns about the scale was that we came up with it ourselves, which is fine in a vacuum. But as a scientist, I wanted us to make sure we were pushing out something that was adding value to storm prep, not adding confusion. Does it pass the test of being meaningful and scientifically sound? And who better to help solidify that than an expert in psychology?”

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A version of this article originally appeared on CultureMap.com.

StormGeo, a Houston-based weather intelligence provider, has partnered with Norwegian company 7Analytics to create technology positioned to revolutionize planning for floods. Photo courtesy of Kinder Institute

Weather analytics platform with Houston HQ taps Norwegian biz to optimize tech

weatherproof tech

There’s no way around it: Houston floods. And with the deluge comes hurdles for businesses. The only real power we have in the face of such adversity is preparation.

StormGeo, a weather intelligence provider with its United States headquarters in Houston, has partnered with Norwegian company 7Analytics to create technology positioned to revolutionize planning for floods.

StormGeo debuted in Norway in 1997. In 2012, it acquired Houston company Impact Weather, says Bob Weinzapfel, a meteorologist and senior project manager of weather insights for StormGeo. Houston is one of 24 offices spread over 15 countries with more than 600 employees, Weinzapfel adds.

The team at 7Analytics, according to Weinzapfel, “Are a bunch of smart flood experts and machine learning experts.” Together, they are introducing a technology that Weinzapfel calls “a game changer” for Houston businesses.

7Analytics uses AI to give users an overview of Houston’s potential flooding based on a 72-hour forecast. “Any business like a grocery store or hospitals or even a refinery—any business with employees or customers, it’s important to know Are the roadways being flooded? Can my employees and customers get in?” says Weinzapfel.

StormGeo has long provided weather insights and guidance to businesses in Houston. Now, detailed maps provide real-time flood forecasting.

The maps forecast the probability of flash flooding in each subbasin, but perhaps more importantly, they can home in on clients’ buildings to show what inundation will look like in parking lots and nearby roads.

"Our product takes a real-time StormGeo weather forecast — for example, the risk of rainfall tomorrow—and translates it into actionable risk info, such as their site is at risk of up to a foot of flooding tomorrow with peak flood occurring at 2 p.m.," explains Jonas Toland, co-founder of 7Analytics.

Armed with such information, businesses can adjust operations ahead. For example, one client is a grocery store chain.

“They have business processes they have to get a jump on. The locations that have customers try to be the last to close and first to open,” Weinzapfel says.

That means that storm tracking can help with letting the store’s team know to purchase more emergency supplies to sell, schedule more employees to help sell them, and know when to close to keep those workers safe.

The Houston version of the solution is the first, but Weinzapfel says that the team is currently working to expand across greater Houston and then into Austin.

“We knew if we could do it here and do a really good job, we could do it anywhere using the same technology,” he adds.

There’s no question that flooding will continue to take place in Houston. But with StormGeo and 7Analytics’ Houston-area flood model, the people that serve us will be prepared.

A Rice University professor has developed a new early warning system and planning tool for the city of Houston. Photo courtesy of Kinder Institute

Rice University debuts new flood alert system for Houston

water feature

It's no secret: certain areas around Houston are at a high risk of flooding. And risks associated with such natural disasters become even more substantial in the middle of a pandemic.

"What if first responders have to go to a shelter, a nursing home, or another facility where there's COVID, right in the middle of a flood," Phil Bedient, director of Rice University's Severe Storm Prediction, Education and Evacuation from Disasters (SSPEED) Center, asks in a statement.

His solution? To develop a new early warning system and planning tool for the city of Houston to help hospitals and other critical facilities on the watersheds of Brays, Sims, Hunting and White Oak bayous respond.

"The idea is to provide a tool that can help emergency managers better deal with situations with multiple risks," he says.

Dubbed the Flood Information and Response System (FIRST), the tool is a 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 maps are compared to a weather radar and stream gauges on the bayous to alert users of likely scenarios during a weather event.

FIRST was derived from the Rice/Texas Medical Center Flood Alert System (FAS), which Bedient created 20 years ago. The latest iteration, FAS5, debuted in 2020. Since the product's creation it has accurately alerted users in more that 60 storms and has warned hospital officials in the TMC of the threat of rising water in the area more than two hours before it would eventually occur, according to a statement.

FIRST was funded by federal CARES Act dollars and commissioned by the Houston Health Department, following concerns that overflows at wastewater treatment plants could potentially expose communities to the COVID-19, Loren Hopkins, chief environmental science officer for the Houston Health Department and professor in the practice of statistics at Rice, says in a statement.

"The FIRST model assessed what areas and facilities are at highest risk of overflows that could spread SARS-CoV-2 and other pathogens during flooding and similar events," Hopkins added. "During a flood, the information gained through this system will inform the public health response to control the spread of pathogens that could make people sick."

CARES funds for FIRST's development were approved in the fall and Rice University undergraduates jumped at the opportunity to build out the product by the December 31 deadline, using hydrologic software and maps they had created with training from Bedient about a year prior.

"They performed herculean tasks," Bedient says. "Our deadline was hard and fast, and they helped us deliver the operational project and report on time."

FIRST was reported to have worked well during May's deluge, and will continue to be refined as more data, storms, and floodwaters arise. A demo is available to test online.

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Houston doctor wins NIH grant to test virtual reality for ICU delirium

Virtual healing

Think of it like a reverse version of The Matrix. A person wakes up in a hospital bed and gets plugged into a virtual reality game world in order to heal.

While it may sound far-fetched, Dr. Hina Faisal, a Houston Methodist critical care specialist in the Department of Surgery, was recently awarded a $242,000 grant from the National Institute of Health to test the effects of VR games on patients coming out of major surgery in the intensive care unit (ICU).

The five-year study will focus on older patients using mental stimulation techniques to reduce incidences of delirium. The award comes courtesy of the National Institute on Aging K76 Paul B. Beeson Emerging Leaders Career Development Award in Aging.

“As the population of older adults continues to grow, the need for effective, scalable interventions to prevent postoperative complications like delirium is more important than ever,” Faisal said in a news release.

ICU delirium is a serious condition that can lead to major complications and even death. Roughly 87 percent of patients who undergo major surgery involving intubation will experience some form of delirium coming out of anesthesia. Causes can range from infection to drug reactions. While many cases are mild, prolonged ICU delirium may prevent a patient from following medical advice or even cause them to hurt themselves.

Using VR games to treat delirium is a rapidly emerging and exciting branch of medicine. Studies show that VR games can help promote mental activity, memory and cognitive function. However, the full benefits are currently unknown as studies have been hampered by small patient populations.

Faisal believes that half of all ICU delirium cases are preventable through VR treatment. Currently, a general lack of knowledge and resources has been holding back the advancement of the treatment.

Hopefully, the work of Faisal in one of the busiest medical cities in the world can alleviate that problem as she spends the next half-decade plugging patients into games to aid in their healing.

Houston scientists develop breakthrough AI-driven process to design, decode genetic circuits

biotech breakthrough

Researchers at Rice University have developed an innovative process that uses artificial intelligence to better understand complex genetic circuits.

A study, published in the journal Nature, shows how the new technique, known as “Combining Long- and Short-range Sequencing to Investigate Genetic Complexity,” or CLASSIC, can generate and test millions of DNA designs at the same time, which, according to Rice.

The work was led by Rice’s Caleb Bashor, deputy director for the Rice Synthetic Biology Institute and member of the Ken Kennedy Institute. Bashor has been working with Kshitij Rai and Ronan O’Connell, co-first authors on the study, on the CLASSIC for over four years, according to a news release.

“Our work is the first demonstration that you can use AI for designing these circuits,” Bashor said in the release.

Genetic circuits program cells to perform specific functions. Finding the circuit that matches a desired function or performance "can be like looking for a needle in a haystack," Bashor explained. This work looked to find a solution to this long-standing challenge in synthetic biology.

First, the team developed a library of proof-of-concept genetic circuits. It then pooled the circuits and inserted them into human cells. Next, they used long-read and short-read DNA sequencing to create "a master map" that linked each circuit to how it performed.

The data was then used to train AI and machine learning models to analyze circuits and make accurate predictions for how untested circuits might perform.

“We end up with measurements for a lot of the possible designs but not all of them, and that is where building the (machine learning) model comes in,” O’Connell explained in the release. “We use the data to train a model that can understand this landscape and predict things we were not able to generate data on.”

Ultimately, the researchers believe the circuit characterization and AI-driven understanding can speed up synthetic biology, lead to faster development of biotechnology and potentially support more cell-based therapy breakthroughs by shedding new light on how gene circuits behave, according to Rice.

“We think AI/ML-driven design is the future of synthetic biology,” Bashor added in the release. “As we collect more data using CLASSIC, we can train more complex models to make predictions for how to design even more sophisticated and useful cellular biotechnology.”

The team at Rice also worked with Pankaj Mehta’s group in the department of physics at Boston University and Todd Treangen’s group in Rice’s computer science department. Research was supported by the National Institutes of Health, Office of Naval Research, the Robert J. Kleberg Jr. and Helen C. Kleberg Foundation, the American Heart Association, National Library of Medicine, the National Science Foundation, Rice’s Ken Kennedy Institute and the Rice Institute of Synthetic Biology.

James Collins, a biomedical engineer at MIT who helped establish synthetic biology as a field, added that CLASSIC is a new, defining milestone.

“Twenty-five years ago, those early circuits showed that we could program living cells, but they were built one at a time, each requiring months of tuning,” said Collins, who was one of the inventors of the toggle switch. “Bashor and colleagues have now delivered a transformative leap: CLASSIC brings high-throughput engineering to gene circuit design, allowing exploration of combinatorial spaces that were previously out of reach. Their platform doesn’t just accelerate the design-build-test-learn cycle; it redefines its scale, marking a new era of data-driven synthetic biology.”