You've heard "it's not rocket science" throughout your life, but but turns out that aerospace exploration — even in 2021 — is still very hard. Photo via Pexels

If there is anything that goes hand in hand so perfectly, it's Houston and Space. Houston is home to the Johnson Space Center, named after former president Lyndon B. Johnson, and is home to revolutionary space research projects and spaceflight training for both crew members and flight controllers. While it's every kid's dream to become an astronaut, have you ever wondered why rocket science is actually so difficult?

Though the space race of the '70s has been over for some time, the new space race — the race to Mars and the commercialization of space tourism — has just started. Elon Musk, Jeff Bezos, and Richard Branson are spearheading the "Billionaire space race." But even with their billions being put into developing spaceports, NASA rocket partnerships, and planning future Mars missions, rocket science is just as difficult to implement as it was the first time around.

So why, even with billions of dollars at their disposal and many companies pushing for more funding, are scientists and engineers still struggling to make rocket travel an everyday thing? Here are some of the countless reasons why rockets science is insanely difficult, no matter how much money you throw at it.

Small talent pool

The Apollo astronauts were the best of the best — and the hundreds of thousands of engineers and rocket scientists behind the scenes were just as talented. But getting to the point in one's career where you have the right background experience and the right hands-on work and real-life experience to create a safe rocket is difficult. The talent pool that SpaceX, Virgin Galactic, and Blue Origin are working with is extremely small and notoriously competitive. As these programs continue to build in credibility, it may be easier to find talent, but few engineers want to be tied to a failed launch.

The risk of failure

Usually, when you fail at something like a math test or a driver's exam, the ramifications aren't too big. But with space travel, a small problem can quickly turn into a deadly situation for those on board the rocket. Think back to the Challenger explosion in 1986. The success of previous missions (not to mention the administrative corner-cutting) led to a false sense of security when in reality they were still embarking on the insanely difficult feat of launching humans into space. The risk of failure is so great, many commercial manufacturers are cautious to put their weight behind an operation that could in all likelihood come crashing back down to Earth.

Rocket construction

Think back to when you were in school learning about Isaac Newton's Third Law of Motion: for every action, there is an equal and opposite reaction. It's a simple idea, but complex in reality. That law of motion forms the basis for rocket science: the combustion of rocket fuel down into the earth is one action, so the opposite reaction causes the rocket to launch upward into space. But the engineering that's needed for a launch to take place is the hard part.

As mentioned in a 2012 NPR article, there are millions of pieces in every rocket, and "therefore millions of opportunities to make errors — to make errors in calculations, to make errors in construction." The devastating Challenger mission failure is often attributed to faulty O-rings — it's a simple piece of equipment and can often be overlooked.

Even after hundreds of successful launches over the years, rocket construction is just as complex, and the process of shooting humans into space cannot be distilled to a law of motion when there is so much more involved to make that process happen.

Public perception

Throughout the '70s, Americans were enthralled by the idea of the space race and becoming the first country to set foot on the moon. But the public's passion died down after that initial landing. Today, the public perception of current space projects is making doing the actual rocket science and engineering difficult.


Objections against NASA's waste of taxpayer money on "futile" missions and the idea that space travel will only be for the mega-wealthy make any conversation around actual scientific discovery second to politics. Not to even mention the newly minted Space Force. Engineers and scientists have to navigate a hoard of political, financial, and PR battles to even get to do the work of getting people back into space.

The bottom line

Rocket science is thought of as one of the most difficult fields for a reason. Building a piece of technology capable of going into space and even housing people inside is a relatively new feat when considering the span of time. As the billionaire space race continues to unfold, scientists and engineers behind the scenes are creating feats of engineering on a regular basis that will shape the future of space travel. But, if you want to just get a taste of space life, without all the schooling, then a trip to the Johnson Space Center is for you.

------

Natasha Ramirez is a Utah-based tech writer.

Artificial intelligence is changing Houston — one industry at a time. Photo via Getty Images

3 ways artificial intelligence is changing Houston's future

Guest column

Artificial intelligence is the buzzword of the decade. From grocery shopping assistance to personal therapy apps, AI has sunk its teeth into every single industry. Houston is no exception to the AI boom. Enterprise-level companies and startups are already flocking to H-town to make their mark in AI and machine learning.

Since the world is generating more data every minute — 1,736 terabytes to be exact — Houston-based companies are already thinking ahead about how to make sense of all of that information in real-time. That's where AI comes in. By 2021, 80 percent of emerging technologies will have AI foundations — Houston is already ninth on the list of AI-ready cities in the world.

AI and machine learning can process large amounts of data quickly and use that data to inform decisions much like a human would. Here are three ways Houston-based companies are using these emerging technologies to revolutionize the city's future.

Health care

The health care industry is primed for AI's personalization capabilities. Each patient that doctors and nurses encounter has different symptoms, health backgrounds, and prescriptions they have to remember. Managing that amount of information can be dangerous if done incorrectly. With AI, diseases are diagnosed quicker, medications are administered more accurately, and nurses have help monitoring patients.

Decisio Health Inc., a Houston-based health tech startup has already made its mark in the healthcare industry with its AI software helping to tackle the COVID-19 pandemic. Their software, in collaboration with GE Healthcare Inc, allows health care providers to remotely monitor patients. By looking at data from ventilators, patient monitoring systems, health records, and other data sources, doctors can make better decisions about patients from a safe distance.

Climate change

Climate change isn't solved overnight. It's an issue that covers water salinity, deforestation, and even declining bee populations. With a problem as large as climate change, huge amounts of data are collected and need to be analyzed. AI can interpret all of that information, show possible future outcomes, track current weather patterns, and find solutions to environmental destruction.

One Houston-based company in the energy tech industry, Enovate Upstream, has created a new AI platform that will help digitize the oil and gas sector. Their AI-powered platform looks at data from digital drilling, digital completions, and digital production, to give oil companies real-time production forecasting. Their work will hopefully make their oil production more efficient and reduce their carbon emission output. Since oil drilling and fracking are a major cause for concern around climate change, their work will make a difference in slowing climate change and make their industry as a whole more climate-conscious.

Energy

Energy is an industry rich with data opportunities—and as Houston's energy sector grows, AI has become a core part of their work. Houston's large influence in the energy sector has primed it for AI integration from startups like Adapt2 Solutions Inc. By using AI and machine learning in their software, they hope to help energy companies make strategic predictions on how to serve energy to the public efficiently. Their work has become especially important in the wake of COVID-19 and the resulting changing energy needs.

Another Houston-based company using AI to influence the energy industry is the retail energy startup Evolve Energy. Their AI and machine learning system help customers find better prices on fluctuating renewable resource—helping them save money on electricity and reducing emissions. The positive feedback from the public on their AI model has shown how energy companies are using emerging technologies like AI in a positive way in their communities.

The bottom line

Houston is more primed than most cities to integrate AI and machine learning into every industry. While there are valid concerns as to how much we should lean on technology for necessary daily tasks, it's clear that AI isn't going anywhere. And it's clear that Houston is currently taking the right steps to continue its lead in this emerging AI market.

------

Natasha Ramirez is a Utah-based tech writer.

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.”