University of Houston: Tips for building an innovative team

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You've heard the adage that "teamwork makes the dream work," but how do you make that dream team a reality? Graphic by Miguel Tovar/University of Houston

"Teamwork makes the dreams work". The well-known phrase has been overused as a company motto. Yet, it remains true and always will.

Haven't heard it? Maybe you've heard, "If everyone is moving forward together, then success takes care of itself," a quote by Henry Ford. Or maybe, "differences of habit and language are nothing at all if our aims are identical and our hearts are open," which was said by Albus Dumbledore in "Harry Potter and the Goblet of Fire" by J.K. Rowling.

Regardless of who said them, all these quotes emphasize the importance of teamwork and working towards a common goal. Several business owners in academia have also attested to this fact.

The co-founders of Advanced Codex Solutions offer some advice to help faculty entrepreneurs build an innovation team.

The key to success

Tarun Wadhawan, Ph.D., a University of Houston alum, team lead at Schlumberger and co-founder of Advance Codex Solutions, said that the key to success is to build the right "tribe" around you. He mentioned that, in prior business endeavors, he failed to make a team that could see his vision, which made that vision hard to accomplish.

"My last company included a couple of extremely talented students who were able to develop business plans and win national competitions. However, the company failed because other members had different aspirations and priorities," said George Zouridakis, Ph.D., the Associate Dean for Research and Graduate Studies in the College of Technology at UH and co-founder of Advanced Codex Solutions.

Even if a majority of the team is talented and dedicated to the vision, the company only succeeds if the entire innovation team is on the same page.

A strong innovation team is the first step to a startup's success. In his "9 Traits The Most Successful Innovation Teams Have In Common" blog, JC Grubbs, founder of Tandem, said, "an innovation team's primary objective is to pioneer something new at a company—a product, a process, a pivot, etc. The team assembles and examines existing products and/or systems, and by leveraging their diverse knowledge and skillsets, ideates and executes improvements."

It takes a village

Not only does it take your immediate team for a company to be successful, it also takes resources outside of the company. Resources like: education, training and support from valuable programs. Let's call this the "extended team."

Your extended innovation team also needs to share your values and understand your vision in order to help the company move forward. The wrong resource won't help you and will waste your time.

Courtney Queen, Ph.D., an assistant professor at Texas Tech University in the Graduate School of Biomedical Sciences and co-founder of Advanced Codex Solutions, referred to the National Science Foundation Innovation Corps as one valuable program.

"Other agencies have similar programs, but the exact idea is to provide faculty with the knowledge and skills to truly accomplish that final translational research piece to benefit society.," Queen said. "The I-Corps programs are definitely beneficial and helped to move Advanced Codex Solutions forward with the business aspects of our development. I would say, though, the very valuable stages of Ideation are critical for success as well, and shouldn't be overlooked as a part of the process."

Zouridakis thanks the UH Office of Technology Transfer and Innovation for their help. "They are incredibly knowledgeable and helped us clear up several issues related to technology commercialization and intellectual property", he said.

According to Wadhawan, one of the biggest obstacles to starting a business is getting in front of the right people and getting beneficial feedback.

Become a partner

If starting a company from scratch seems like a daunting task, there are other options. Zouridakis says to know your strengths, weaknesses and your limitations because at the end of the day, being a university professor, you don't have a lot of time outside of the classroom. Also, according to Zouridakis, your access to resources may be limited and you may not even have the knowledge to know how to go about achieving your idea.

"So, if an external investor wants to license your IP, develop it further, and commercialize it with you as a partner, please let go of your 'baby' — yes, you could develop your idea better and make it match your vision exactly, but you need to make sure you can commit the time, the resources, and the effort needed all within a short period of time. Wishful thinking does not count," Zouridakis said.

He also notes that "patience is a virtue; be persistent, be ready for rejection, and embrace failure; but never lose sight of the goal."

What's the big idea?

Teamwork really does make the dream work.

If you're a faculty member in academia and you're thinking about starting your own company, make sure you build a great innovation team that shares your values, understands your vision and wants to see the company succeed. Even with a strong team behind you, it may be beneficial to seek outside resources to help push your business forward. Also, if being a professor is already enough work for you, consider an external investor that can license your IP.

No matter what you do, as long as you have a good team to support you, you'll be okay.

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This article originally appeared on the University of Houston's The Big Idea. Cory Thaxton, the author of this piece, is the communications coordinator for The Division of Research.

Teamwork can make the dream work, but lack of a solid team can be a startup's downfall. Pexels

Here's what Houston startups need to keep in mind when building their teams

Guest column

The top two reasons for startup failure are no market need and running out of money, respectively. But the third reason for failure is not having the right team in place. Like market need, evaluating the management team is on virtually every venture capitalist's list of what they look for in their target investments and you need to get it right.

It is well known that new technologies have a limited window of opportunity to succeed and there are rarely second chances, whether choosing the right strategy, market, customers, partners, or raising rounds of financing. If a particular window is missed a chance to pivot may be available, but that typically requires a good, experienced and nimble team that is right for the overall opportunity.

Luck and timing are factors largely out of your control in a startup, but good-to-great teams are capable of dealing with fast changing conditions or lessons learned along the way.

There's not one "right team"

It is easy to say you need the right team, but the same team is not the right team for every startup. Any team needs some basic skills, and of course have the ability to deliver a solution to meet its customer's needs.

In addition to a diverse technical team, a startup needs different skill sets, including various business, professional and soft skills. It is obvious that software is different than medical devices, but within "software" there are a wide variety of skills needed from user interface to security and everything in between. Within medical devices, the variety ranges beyond technology from working with the FDA to medical reimbursement.

Similarities between standard business processes like customer billing, collections and capital asset management often do not vary much across some otherwise pretty diverse businesses. On top of that, the needs of the team change over time as startups progress from concept, to prototype development to launch and through growth phases.

Having experience with many different startups, I have had some recurring team members with whom I worked with again in my next venture. I have also experienced significant turnover of individuals and growth within individuals that where ready for a new challenge to keep them motivated. The right team varies from venture to venture.

Know your industry

One lesson is to have a few cornerstone roles in the organization. First learned in my consulting days, a talented team member might serve in a kind of cornerstone role where you know that job is "solved" and you will not have to worry about it. You then complement and build around him, adding more experience in a complementary role if the first individual has raw talent and enthusiasm. You would add young talent with plenty of room for growth around an experienced individual that has the ability to mentor those around them. No one way exists to create a good team, other than the best practice of mixing experience, talent and diversity in creative ways based on who based on availability.

However, patterns should be identified and assessed to complement customers when deep engagement is a key part of your model or with partners, distributors, channels, or other strategic parts of your extended business model. Some customers will accept less experienced staff; others will not. Some markets can be targeted successfully by inexperienced sales or customer service representatives, while others require field experience or at a minimum extensive targeted training.

Finding support

Beyond patterns, consider some other best practices that are appropriate for various markets; for example, the risk incurred by having an inexperienced FDA process lead in an FDA regulated product. Having little real experience with FDIC, SEC or similar relevant federal or state agencies creates a lot of risk in FinTech companies. In any startup, some areas can be easily contracted out while others need to be core internal strengths, even if developed over time.

That last word is key, the "time" component of startups. Early stages of a startup have parallels to my consulting days. It is a project that is managed like any other project, balancing the big three assets: resources, money and time. Any project is a balancing act of acquiring and managing those three assets, at least when you take out administrative details like payroll and the like. The next stage is more operational in nature, whether stabilizing operations or managing for growth, but it is common for a startup to have two or more CEOs between founding and exit as needs change.

Since VIC primarily is focused on university technology startups, the inventor is often a university researcher with decades of experience in the field of the invention. We follow a best practice of bringing in one of our senior team members as CEO, an experienced business savvy entrepreneur who complements the inventor well in those early technology de-risking phases.

We support those key team members with a shared service team to handle finance, accounting, legal, websites and more, outsourcing specific areas of expertise like intellectual property in a given technical area. We then fill out gaps with select hires. Over time, we work ourselves out of a job when the technology has progressed to a point that different skills are needed, such as handing off to a growth-stage CEO.

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James Y. Lancaster is the Texas branch manager for Arkansas-based VIC Technology Venture Development. Lancaster, who lives in College Station, oversees business there, in Dallas, and in Houston.

There's no "I" in team, but getting your coworkers on the same "we" perspective can be tough. Here's why it's important, according to Rice University's research. Pexels

Rice University research shows what your company can learn from gamers about teamwork

Houston Voices

You just got a promotion — along with a brand-new work team whose members barely speak to one another. But first-rate cooperation is essential if you're going to deliver for your client. So you decide to spend a month getting to know each of your workers.

One is competent but bitter, frustrated by years of small mistakes by a colleague, mistakes that add to her own workload. Another, the one making the mistakes, seems so distracted he may as well be working at another company. Others have their own quirks. And to make matters worse, another department is set to merge its employees with your creaky, cranky team in a few months. How are you going to understand all these individuals, much less get them into shape as a unit?

For many managers, training and reading can help provide guidance. Others may hire an outside consultant and resort to team-building activities. But where does that outside expertise — not to mention training and reading — come from? It's based on academic research.

Rice Business professor Utpal Dholakia and colleagues René Algesheimer of the University of Zurich and Richard P. Bagozzi of the University of Michigan are among the scholars updating what we know about the dynamics of group decisions. Starting with classic group behavior theory, the scholars developed a series of sociologically-based models for analyzing small teams.

To better understand the existing shared intentions and attachment between teammates, Dholakia and his colleagues used a novel set of questions to survey 277 teams of computer gamers, each comprised of three people. They ran the survey responses through variations of a classic model called the Key Informant, which depends on the observations of group members about the social relationships inside a group.

Next, the researchers applied a sociological theory called Plural Subject Theory, focused on what's known as "we-attitude." That's exactly what it sounds like: verbally and actively treating an endeavor as a group project.

The core of this theory, the notion that successful teams frequently use collective pronouns when they discuss themselves and cognitively conceive of themselves as "we," has been heavily studied. Groups whose members think in terms of "we" act more cohesively and are measurably more committed to collectively reaching their goal.

To enhance the way these attitudes are measured, Dholakia created multiple variations of a new model. These differ from previous models because they include information not just from a "key informant," but from every member of a group. The researcher asks group members questions about themselves, their impressions of others in the group, their impressions about how others in the group think of each member and impressions about the group as a whole. This longer, more elaborate approach offers fresh insights about a group's shared consciousness — which provides a valuable new research outcome.

The professors found that this revision of classic key informant model generally worked the best of the various group-analysis models they tested — even improving on the original key informant approach. Future researchers, Dholakia notes, should consider the context of the team situation to decide which configuration of members is best to analyze.

So the next time you find yourself nonplussed by a chaotic group dynamic at work, remember you are in time-honored company — and that help is out there. By updating the key informant model, Dholakia and his colleagues have added to the analytical toolbox something that can help whip that team into shape. Whether it's an army of accountants or a network of hospital workers, Dholakia writes, the first step to creating a real team is analyzing which intentions they truly share.

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This article originally appeared on Rice Business Wisdom.

Utpal Dholakia is the George R. Brown Professor of Marketing at Jones Graduate School of Business at Rice University.

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

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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

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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

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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.”

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