Looking back on the past few days of low temperatures, ice, snow, power and water outages, and more, it's time to focus on innovation for resilience. Photo courtesy of ABC13

Greater Houston and all of Texas have faced enough persistent challenges over the past seven years that communities and businesses are at a breaking point. Not just financially and economically, but at societal and emotional levels expected from repeated natural and man-made disasters.

Increasingly, the focus on "resilience" as a call to action has become a buzzword rather than measure of performance by public and private sector decision-makers. Simply, our version of resilience is defined as pre-disaster risk mitigation and investment, not recovery and rebuilding after the fact, which is precisely what is being debated across traditional and social media.

As families, small businesses, larger corporations, neighborhoods, and communities require stability, predictability, and frankly reliability, there is now disappointment and disillusion across party lines for our public agencies, programs, officials. When the last major freeze and snowfall hit Texas, the state's power grid ERCOT and the legislature were warned that unless immediate steps were taken to invest in our electrical grid, an expected collapse of the entire system would leave entire cities and potentially the state in darkness with life-threatening consequences. Review any of the published recommendations from previous disasters and each conclusion identifies necessary and urgent investment, re-engineering, and technological innovation. And yet many of those findings are but another can kicked down the road.

While finger-pointing, investigations, hearings, reports, studies can be the actions of our elected and appointed officials, we turn to entrepreneurs, inventors, innovators, and investors as the path forward. Want to add to your blood pressure? Read all the After-Action Reports and Lessons-Learned Analyses — from as far back as Hurricane Andrew to the most recent disasters, including snowstorms, derechos, wildfires, and now COVID-19. Very little changes in these documents regarding the failures of government and/or the significant gaps between alerts, warnings, preparation, response, recovery, rebuilding. More recently, analysis and assessments provided by Wharton at the University of Pennsylvania and the Insurance Information Institute suggest a 1:4+ return on investment for pre-disaster resilience.

Communities often are asked to rely upon hydrological engineering and science as the holy grails in response to our floods, storms, hurricanes. And yet, there is a new "class" of data scientists, analytic tools, curated information, and significant user interfaces that have changed how government, industry, civic, academia and philanthropy can allocate their resources in more efficient and effective ways to unleash innovative resilience. Emerging enterprises and organizations to watch that are driving the "new resilience data science" for entrepreneurs and innovators alike to develop the next generation of insight include Jupiter Intelligence, HazardHub, ResilientGrid, and EcoMetrics.

What is rarely captured in the post-incident studies and gatherings is the powerful impact of the "GSD" networks — "The Get Shit Done" relationships, partnerships, tools and resources mobilized by unleashing innovation! And the good news is that Greater Houston as well as across the nation, a number of companies, products, integrated data-equipment, digital platforms, and best practices have emerged from several innovation ecosystems that should be brought to the forefront of any next steps for community and civic leaders seeking to address a 21st century resilience agenda.

There are the data and platform folks — Umanity, FoodBot, GotSpot, Crowd Source Rescue (all based in Houston) along with Harbor, R3Water, and a host of other national firms — for example that have addressed the speed by which needs, resources, information and actionable intelligence can align to assist volunteers, neighborhoods, philanthropy, and small businesses. As previous senior leadership of FEMA have admitted, the public sector can no longer be the go-to resource during every disaster, incident, and threat.If we are to democratize resilience because no one entity can afford continued losses — such as the insurance and reinsurance sector — nor is there enough taxpayer dollars to fix our critical infrastructure, then we must spark private-philanthropic-public partnerships through innovation.

If COVID -19 taught us anything, it's that we continue to face inventory management supply-chain, and resilient inventory problems that have been identified during and after previous disasters. With blockchain, advanced sensors and monitors, robotics and remote screening, reopening Greater Houston and the US can be done with innovative health technologies such as San Antonio-based Xenex.

In regards to the challenge before us, we must recall that the demand and intersection for an energy, water and data "nexus" began to take off in response to the Texas and California droughts, rose again to the forefront during multiple hurricanes in the US, and are a now the latest critical infrastructure focus in the post snowstorms of 2021.

Why is having Elon Musk's GigaFactory in Texas so vital to resilience innovation? Because the research and product development of batteries to retain solar and wind produced power can directly impact the load-demands in advance of an oncoming weather or worse a cybersecurity threat to the grid. Sunnova — another Houston brand — has been proving the benefit of storage capacity from its work in Puerto Rico and now exhibits the unique performance for future off-grid resilience of homes, medical offices, and vital services.

Until and unless the public sector opens the doors for these and other innovators through immediate and permanent changes in procurement and contracting, strategic partnerships, incentives and credits — while frankly sharing the leadership function with entrepreneurs, inventors, and investors — we will all pay the price for the failure to act.

There is still work to be done from a legislative and governmental perspective, but more and more innovators — especially in Houston — are proving to be essential in creating a better future for the next historic disaster we will face. The Insurance Information Institute's National Resilience Accelerator Initiative and Resilience Innovation Hub Collaboratory (with its flagship in Houston) is working to unleash the best of Texas', the Nation's and the World's best ideas, resources, information and investments.

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Richard Seline is the co-founder of the Houston-based Resilience Innovation Hub.

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CultureMap Emails are Awesome

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.”