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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Intuitive Machines lands $180M NASA contract for lunar delivery mission

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NASA has awarded Intuitive Machines a $180.4 million Commercial Lunar Payload Services (CLPS) award to deliver science and technology to the moon.

This is the fifth CLPS award the Houston spacetech company has received from NASA, according to a release. It will be the first mission to utilize Intuitive Machines' larger cargo lunar lander, Nova-D.

Known as IM-5, the mission is expected to deliver seven payloads to Mons Malapert, a ridge near the Lunar South Pole, which is a "compelling location for future communications, navigation, and surface infrastructure," according to the release.

“We believe our space infrastructure provides the scalability and flexibility needed to support an increased cadence of new Artemis missions and advance national objectives. This CLPS award accelerates our expansion efforts as we build, connect, and operate the systems powering that infrastructure,” Steve Altemus, CEO of Intuitive Machines, said in the release. “We look forward to working closely with NASA to deliver mission success on IM-5 and to provide sustained operations and persistent connectivity in the cislunar environment and across the solar system.”

The delivery will include the Australian Space Agency’s lunar rover, known as Roo-ver, and another lunar rover from Honeybee Robotics, a part of Jeff Bezos' Blue Origin. Intuitive Machines will also deliver chemical analysis instruments, radiation detectors and other technologies, as well as a capsule named Sanctuary that shows examples of human achievements.

Intuitive Machines previously completed its IM-1 and IM-2 missions, which put the first commercial lunar lander on the moon and achieved the southernmost lunar landing, respectively.

Its IM-3 mission is expected to deliver international payloads to the moon's Reiner Gamma this year. It’s IM-4 mission, funded by a $116.9 million CLPS award, is expected to deliver six science and technology payloads to the Moon’s South Pole in 2027.

The company also announced a $175 million equity investment to fuel growth earlier this month.

TotalEnergies exits U.S. offshore wind sector in $1B federal deal

Energy News

TotalEnergies, a French company whose U.S. headquarters is in Houston, has agreed to redirect nearly $930 million in capital from two offshore wind leases on the East Coast to oil, natural gas and liquefied natural gas (LNG) production.

In its agreement with the U.S. Department of the Interior, TotalEnergies has also promised not to develop new offshore wind projects in the U.S. “in light of national security concerns,” according to a department press release.

Federal agency hails ‘landmark agreement’

The Department of the Interior called the deal a “landmark agreement” that will steer capital “from expensive, unreliable offshore wind leases toward affordable, reliable natural gas projects that will provide secure energy for hardworking Americans.”

Renewable energy advocates object to what they believe is the Trump administration’s mischaracterization of offshore wind projects.

Under the Department of the Interior agreement, the federal government will reimburse TotalEnergies on a dollar-for-dollar basis for the leases, up to the amount that the energy company paid.

“Offshore wind is one of the most expensive, unreliable, environmentally disruptive, and subsidy-dependent schemes ever forced on American ratepayers and taxpayers,” Interior Secretary Doug Burgum said in the announcement. “We welcome TotalEnergies’ commitment to developing projects that produce dependable, affordable power to lower Americans' monthly bills while providing secure U.S. baseload power today — and in the future.”

TotalEnergies cites U.S. policy in move away from U.S. wind power

In the news release, Patrick Pouyanné, chairman and CEO of TotalEnergies, says the company was “pleased” to sign the agreement to support the Trump administration’s energy policy.

“Considering that the development of offshore wind projects is not in the country’s interest, we have decided to renounce offshore wind development in the United States, in exchange for the reimbursement of the lease fees,” Pouyanné says.

TotalEnergies redirects capital to LNG, oil, and natural gas

TotalEnergies will use the $928 million it spent on the offshore wind leases for development of a joint venture LNG plant in the Rio Grande Valley, as well as for production of upstream oil in the Gulf of Mexico and for production of shale gas.

“These investments will contribute to supplying Europe with much-needed LNG from the U.S. and provide gas for U.S. data center development. We believe this is a more efficient use of capital in the United States,” Pouyanné says.

TotalEnergies paid $133.3 million for an offshore wind lease at the Carolina Long Bay project off the coast of North Carolina and $795 million in 2022 for a lease covering a 1,545-megawatt commercial offshore wind facility off the coast of New Jersey.

“TotalEnergies’ studies on these leases have shown that offshore wind developments in the United States, unlike those in Europe, are costly and might have a negative impact on power affordability for U.S. consumers,” TotalEnergies said in a company-issued press release. “Since other technologies are available to meet the growing demand for electricity in the United States in a more affordable way, TotalEnergies considers there is no need to allocate capital to this technology in the U.S.”

Since 2022, TotalEnergies has invested nearly $12 billion to promote the development of oil, LNG, and electricity in the U.S. In 2025, TotalEnergies was the No. 1 exporter of LNG from the U.S.

Industry groups push back on offshore wind pullback

The American Clean Energy Association has pushed back on the Trump administration’s characterization of offshore wind projects.

“The offshore wind industry creates thousands of high-quality, good-paying jobs, and is revitalizing American manufacturing supply chains and U.S. shipyards,” Jason Grumet, the association’s CEO, said in December after the Trump administration paused all leases for large-scale offshore wind projects under construction in the U.S. “It is a critical component of our energy security and provides stable, domestic power that helps meet demand and keep costs low.”

Grumet added that President Trump’s “relentless attacks on offshore wind undermine his own economic agenda and needlessly harm American workers and consumers.” He called for passage of federal legislation that would prevent the White House “from picking winners and losers” in the energy sector and “placing political ideology” above Americans’ best interests.

The National Resources Defense Council offered a similar response to the offshore wind leases being paused.

“In its ongoing effort to prop up waning fossil fuels interests, the administration is taking wilder and wilder swings at the clean energy projects this economy needs,” said Pasha Feinberg, the council’s offshore wind strategist. “Investments in energy infrastructure require business certainty. This is the opposite. If the administration thinks the chilling impacts of this action are limited to the clean energy sector, it is sorely mistaken.”

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This article originally appeared on EnergyCapitalHTX.com.

Houston researcher examines how AI helps and hurts creativity

eye on ai

As artificial intelligence continues to grow and seeps into spaces like art, design and writing, a Houston researcher is examining its effects on creativity.

University of Houston’s Bauer College Assistant Professor Jinghui Hou, in collaboration with scholars around the world, recently published the paper "The Double-Edged Roles of Generative AI in the Creative Process" in the journal Information Systems Research.

Through the research, the team identified two stages of creativity that AI can influence: ideation and implementation.

In one study, Hou and her team developed a lab experiment to examine the impact of a cutting-edge generative AI tool during the brainstorming or ideation phase on a group of designers with varying levels of expertise.

The study showed that nearly all designers who used generative AI during this stage improved in the creativity of their graphic design work, and that the improvements were substantial and consistent across the board.

“In the first stage, we find that for anyone, including ordinary people and expert designers, AI is very helpful because of its computational power,” Hou said in a news release. “It can go beyond the imagination that humans have. For example, if I wanted to imagine a tiger with wings, it would be hard to see that in my head, but AI can do it easily.”

However, a second study examining the implementation stage found that AI affects professionals differently than novice designers.

The study showed that novice designers continued to improve in all aspects of their work when using AI. But more expert designers did not see significant improvements in the implementation stage. Rather, expert designers who used AI spent 57 percent more time completing their work compared with their peers who did not use AI.

“In the implementation stage, we find that AI is still very helpful for those ordinary people, but it creates more work for expert designers,” Hou said in the release. “This is because the designer has years of training to materialize a piece of artwork. We find that AI uses different techniques to produce creative work. For designers, it can become burdensome to revise what AI made.”

Hou’s paper suggests that AI is most helpful in the brainstorming stage, but hopes to see generative AI developers program tailor the technology for expert-level, professional needs.

“It could give users more freedom to fit the technology to their usage pattern and workflow,” Hou added. “In a sense, it's not about people catering to the AI, but the AI technology catering to people."

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