Sensor-enabled rubber ducks might be the solution to keeping track of major weather events. Courtesy of Project Owl

Nearly two years after Hurricane Harvey battered the Houston area, a flock of electronic "rubber ducks" flew above homes in Katy in a broader endeavor to keep first responders and victims connected during natural disasters.

Developers and backers of Project Owl, an Internet of Things (IoT) hardware and software combination, conducted a pilot test of this innovation June 1 — the first day of this year's hurricane season. In the Katy test, 36 "ducks" took flight.

Bryan Knouse, co-founder and CEO of Project Owl (organization, whereabouts, and logistics), says the initiative marries:

  • A deployable IoT network of DuckLink devices that can quickly provide a basic WiFi setup where communications infrastructure might be down, like a region where a hurricane just hit. A single device can connect through WiFi to smartphones and laptops.
  • A software data visualization platform that speeds up and simplifies data monitoring on the Clusterduck network.

"So, our technology can be deployed to help communities that have been destroyed after natural disasters by providing quickly accessible communications network to coordinate and organize a response," Knouse tells InnovationMap.

The DuckLink network comprises hubs resembling rubber ducks, which can float in flooded areas if needed. It takes only five of these hubs to cover one square mile. This network sends speech-based communications using conversational systems (like Alexa and Facebook Messenger) to a central application. The app, the Owl software incident management system, relies on predictive analytics and various data sources to build a dashboard for first responders.

"Once this network of ducks is deployed and then clustered, civilians are able to basically get on the devices through a really intuitive interface and contact first responders with a list of things that are really essential to them," Project Owl team member Magus Pereira explained in an October 2018 blog post.

Project Owl, which won IBM's Call for Code Global Challenge in 2018, is being developed by Code and Response, an IBM program that puts open source technologies in communities that most need them. Knouse and Houston software engineer Charlie Evans lead Project Owl.

In a June 6 blog post, Evans recalled the widespread damage his hometown suffered during Hurricane Harvey and stressed the importance of efforts like Project Owl.

"The sheer magnitude of storms like this," Evans writes of Hurricane Harvey, "and the fact that extreme weather isn't going anywhere anytime soon, really drive home the point that effective communication and logistics are among the highest [priorities] for organizations that are involved with rescuing people and with cleanup."

Katy was the second pilot site for Project Owl. The first large-scale test was done in March in Puerto Rico.

Members of the Project Owl team were pleased with the Katy test. Knouse says the speed of DuckLink deployment improved versus the Puerto Rico test, and the network error transmission rate fell from more than 30 percent to around 10 percent.

"This test is important for anyone who wants to see how we will support communities during natural disasters," Knouse tells InnovationMap. "The growth and improvement [seen in the Katy test] confirms that we can continue to improve the speed, scale, and performance of the network, elevating confidence that if it's deployed during a real disaster, we can support recovery and critical life saving activities."

Following the Puerto Rico and Katy pilots, Project Owl will test the technology again later this year in Puerto Rico, as well as in Alabama, California, and Washington state, according to Knouse.

"It's one thing to build something in a lab and say, 'It works.' It's another to have complete strangers watch the technology deployment and say, 'It works — we need this as soon as possible.' And we are working at maximum capacity to make that happen," Knouse wrote in May.

Owl deploys duck technology

Courtesy of Project Owl

About five of the "rubber ducks" are needed to track one square mile.

Ad Placement 300x100
Ad Placement 300x600

CultureMap Emails are Awesome

Houston researchers develop material to boost AI speed and cut energy use

ai research

A team of researchers at the University of Houston has developed an innovative thin-film material that they believe will make AI devices faster and more energy efficient.

AI data centers consume massive amounts of electricity and use large cooling systems to operate, adding a strain on overall energy consumption.

“AI has made our energy needs explode,” Alamgir Karim, Dow Chair and Welch Foundation Professor at the William A. Brookshire Department of Chemical and Biomolecular Engineering at UH, explained in a news release. “Many AI data centers employ vast cooling systems that consume large amounts of electricity to keep the thousands of servers with integrated circuit chips running optimally at low temperatures to maintain high data processing speed, have shorter response time and extend chip lifetime.”

In a report recently published in ACS Nano, Karim and a team of researchers introduced a specialized two-dimensional thin film dielectric, or electric insulator. The film, which does not store electricity, could be used to replace traditional, heat-generating components in integrated circuit chips, which are essential hardware powering AI.

The thinner film material aims to reduce the significant energy cost and heat produced by the high-performance computing necessary for AI.

Karim and his former doctoral student, Maninderjeet Singh, used Nobel prize-winning organic framework materials to develop the film. Singh, now a postdoctoral researcher at Columbia University, developed the materials during his doctoral training at UH, along with Devin Shaffer, a UH professor of civil engineering, and doctoral student Erin Schroeder.

Their study shows that dielectrics with high permittivity (high-k) store more electrical energy and dissipate more energy as heat than those with low-k materials. Karim focused on low-k materials made from light elements, like carbon, that would allow chips to run cooler and faster.

The team then created new materials with carbon and other light elements, forming covalently bonded sheetlike films with highly porous crystalline structures using a process known as synthetic interfacial polymerization. Then they studied their electronic properties and applications in devices.

According to the report, the film was suitable for high-voltage, high-power devices while maintaining thermal stability at elevated operating temperatures.

“These next-generation materials are expected to boost the performance of AI and conventional electronics devices significantly,” Singh added in the release.

Houston to become 'global leader in brain health' and more innovation news

Top Topics

Editor's note: The most-read Houston innovation news this month is centered around brain health, from the launch of Project Metis to Rice''s new Amyloid Mechanism and Disease Center. Here are the five most popular InnovationMap stories from December 1-15, 2025:

1. Houston institutions launch Project Metis to position region as global leader in brain health

The Rice Brain Institute, UTMB's Moody Brain Health Institute and Memorial Hermann’s comprehensive neurology care department will lead Project Metis. Photo via Unsplash.

Leaders in Houston's health care and innovation sectors have joined the Center for Houston’s Future to launch an initiative that aims to make the Greater Houston Area "the global leader of brain health." The multi-year Project Metis, named after the Greek goddess of wisdom and deep thought, will be led by the newly formed Rice Brain Institute, The University of Texas Medical Branch's Moody Brain Health Institute and Memorial Hermann’s comprehensive neurology care department. The initiative comes on the heels of Texas voters overwhelmingly approving a ballot measure to launch the $3 billion, state-funded Dementia Prevention and Research Institute of Texas (DPRIT). Continue reading.

2.Rice University researchers unveil new model that could sharpen MRI scans

New findings from a team of Rice University researchers could enhance MRI clarity. Photo via Unsplash.

Researchers at Rice University, in collaboration with Oak Ridge National Laboratory, have developed a new model that could lead to sharper imaging and safer diagnostics using magnetic resonance imaging, or MRI. In a study published in The Journal of Chemical Physics, the team of researchers showed how they used the Fokker-Planck equation to better understand how water molecules respond to contrast agents in a process known as “relaxation.” Continue reading.

3. Rice University launches new center to study roots of Alzheimer’s and Parkinson’s

The new Amyloid Mechanism and Disease Center will serve as the neuroscience branch of Rice’s Brain Institute. Photo via Unsplash.

Rice University has launched its new Amyloid Mechanism and Disease Center, which aims to uncover the molecular origins of Alzheimer’s, Parkinson’s and other amyloid-related diseases. The center will bring together Rice faculty in chemistry, biophysics, cell biology and biochemistry to study how protein aggregates called amyloids form, spread and harm brain cells. It will serve as the neuroscience branch of the Rice Brain Institute, which was also recently established. Continue reading.

4. Baylor center receives $10M NIH grant to continue rare disease research

BCM's Center for Precision Medicine Models has received funding that will allow it to study more complex diseases. Photo via Getty Images

Baylor College of Medicine’s Center for Precision Medicine Models has received a $10 million, five-year grant from the National Institutes of Health that will allow it to continue its work studying rare genetic diseases. The Center for Precision Medicine Models creates customized cell, fly and mouse models that mimic specific genetic variations found in patients, helping scientists to better understand how genetic changes cause disease and explore potential treatments. Continue reading.

5. Luxury transportation startup connects Houston with Austin and San Antonio

Shutto is a new option for Houston commuters. Photo courtesy of Shutto

Houston business and leisure travelers have a luxe new way to hop between Texas cities. Transportation startup Shutto has launched luxury van service connecting San Antonio, Austin, and Houston, offering travelers a comfortable alternative to flying or long-haul rideshare. Continue reading.

Texas falls to bottom of national list for AI-related job openings

jobs report

For all the hoopla over AI in the American workforce, Texas’ share of AI-related job openings falls short of every state except Pennsylvania and Florida.

A study by Unit4, a provider of cloud-based enterprise resource planning (ERP) software for businesses, puts Texas at No. 49 among the states with the highest share of AI-focused jobs. Just 9.39 percent of Texas job postings examined by Unit4 mentioned AI.

Behind Texas are No. 49 Pennsylvania (9.24 percent of jobs related to AI) and No. 50 Florida (9.04 percent). One spot ahead of Texas, at No. 47, is California (9.56 percent).

Unit4 notes that Texas’ and Florida’s low rankings show “AI hiring concentration isn’t necessarily tied to population size or GDP.”

“For years, California, Texas, and New York dominated tech hiring, but that’s changing fast. High living costs, remote work culture, and the democratization of AI tools mean smaller states can now compete,” Unit4 spokesperson Mark Baars said in a release.

The No. 1 state is Wyoming, where 20.38 percent of job openings were related to AI. The Cowboy State was followed by Vermont at No. 2 (20.34 percent) and Rhode Island at No. 3 (19.74 percent).

“A company in Wyoming can hire an AI engineer from anywhere, and startups in Vermont can build powerful AI systems without being based in Silicon Valley,” Baars added.

The study analyzed LinkedIn job postings across all 50 states to determine which ones were leading in AI employment. Unit4 came up with percentages by dividing the total number of job postings in a state by the total number of AI-related job postings.

Experts suggest that while states like Texas, California and Florida “have a vast number of total job postings, the sheer volume of non-AI jobs dilutes their AI concentration ratio,” according to Unit4. “Moreover, many major tech firms headquartered in California are outsourcing AI roles to smaller, more affordable markets, creating a redistribution of AI employment opportunities.”