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

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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5 must-know fall application deadlines for Houston innovators

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Editor's note: As fall reaches full swing, Houston's innovation scene is calling on the latest batch of founders and startups looking to make a difference. A number of accelerators have opened applications. Read below to see which might be a good fit for you or your venture. And take careful note of the deadlines. Please note: this article may be updated to include additional information and programs.

Did we miss an accelerator or competition accepting applications? Email innoeditor@innovationmap.com for editorial consideration.

Texas Life Science Forum

Deadline: Oct. 2

Details: Ventures can apply to present at the 15th annual Texas Life Science Forum, hosted by BioHouston and Rice Alliance. Participants will meet during office hours with venture capitalists, tech scouts, corporate venture groups and angel investors, and present their pitches in a public forum. Pitches take place on Nov. 10 and office hours are held Nov. 11. Find more information here.

Greentown Lab's Go Make 2027: Advanced Carbon Materials with ExxonMobil

Deadline: Oct. 9

Details: Greentown Labs is seeking applications from startups developing novel carbon-based technologies for its latest Go Make cohort in conjunction with ExxonMobil. The structured accelerator is designed to facilitate validation activities and explore potential long-term collaborations with Exxon, according to Greentown. Founders will have the opportunity to engage directly with industry leaders to test, validate and scale their carbon technologies in real commercial contexts. The program tentatively starts on Jan. 20, 2027 and concludes June 16, 2027. Find more information here.

Activate's U.S. Fellowship Cohort 2027

Deadline: Oct. 30

Details: Activate supports scientists at "the outset of their entrepreneurial journey." It partners with U.S.-based funders and research institutions to support its fellows in developing high-impact technology. Its fellows receive a living stipend, research and development funding, connections from Activate's robust network of mentors and access to a curriculum specific to the program for two years. Applicants must have a bachelor’s degree and 4-plus years of post-baccalaureate scientific research, engineering or technology development experience. Their work must be based in the physical or biological sciences or related engineering disciplines. Find more information here.

Rice Innovation Fellows

Deadline: Oct. 30

Details: The Liu Idea Lab for Innovation and Entrepreneurship (Lilie)'s Rice Innovation Fellows program supports Rice Ph.D. students and postdocs in turning their research into real-world ventures. Participants receive $10,000 in translational research funding, co-working space and personalized mentorship. Candidates from all Rice engineering and science-related disciplines are encouraged to apply. Find more information here.

The TMC's Accelerator for Cancer Therapeutics

Deadline: Oct. 30

Details: Texas-based ventures and researchers developing a cancer therapeutics project can apply to this accelerator funded by the Cancer Prevention and Research Institute of Texas. The nine-month program runs February-September 2027 and focuses on market research, FDA regulations, intellectual property, licensing, finance, fundraising, legal and other critical areas for cancer-related ventures. Participants will complete the program with at least one grant submission and have the option to pitch to investors, corporate partners, media and other influential guests. Find more information here.

Houston college joins inaugural workforce accelerator supported by Google

hands-on training

Houston City College (HCC) is one of 15 community colleges from around the country to be selected for the first-ever Workforce Futures Accelerator.

The three-year effort is supported by Google.org, the tech company’s philanthropic arm, and led by the Association of Community College Trustees (ACCT), a non-profit educational organization that represents over 500 community, junior, and technical colleges. The accelerator focuses on helping colleges embed virtual, employer-sponsored training opportunities into short-term workforce training programs, giving participants access to opportunities that they might otherwise receive through internships or other "work-based learning" stints.

"The Workforce Futures Accelerator reflects the Houston City College mission of offering a high-quality, affordable education for workforce training and career development," Pretta VanDible Stallworth, HCC trustee and chair-elect of the ACCT board of directors, said in a news release. "Advancing student success and creating pathways to opportunities ensures that our students are well equipped to succeed and build a secure future in today's economy.”

Through the accelerator, HCC is tasked with fusing online project-based learning opportunities with its workforce education programs. The idea is to give students hands-on experiences working on projects sponsored by employers, allowing them to gain real-world knowledge in the process.

HCC will select two workforce programs that meet the accelerator’s criteria and insert into them into coursework. In the second and third year of the accelerator, the selected colleges are expected to scale the programs by adding instructors and programs to develop a network of to support their continued implementation.

“Participation by HCC will strengthen how we provide students with career-connected learning experiences that complement their classroom education and align with the needs of employers,” HCC Chancellor Margaret Ford Fisher added in the news release. “We are focused on ‘future forward’ strategies to meet the present and future needs of our region’s businesses.”

Two other Texas colleges were chosen to participate in the accelerator: Lamar Institute of Technology in Beaumont and Grayson College in Denison.

The remaining cohort includes:

  • Bergen Community College in Paramus, New Jersey
  • Central Louisiana Community College in Alexandria, Louisiana
  • Clark State College in Springfield, Ohio
  • Great Basin College in Elko, Nevada
  • Heartland Community College in Normal, Illinois
  • Hudson County Community College in Jersey City, New Jersey
  • Manchester Community College in Manchester, New Hampshire
  • Mesa Community College in Mesa, Arizona
  • Mohave College in Kingman, Arizona
  • San Joaquin Delta Community College in Stockton, California
  • San Juan College in Farmington, New Mexico
  • West Virginia University Parkersburg in Parkersburg, West Virginia

New report ranks Texas among top 10 states where AI could disrupt jobs

AI Workforce

A new nationwide report examining where AI could "reshape" the most jobs has ranked Texas No. 9 among the most at-risk states for AI job disruption.

The new SmartAsset report compared all 50 states and the District of Columbia to calculate the estimated percent of the workforce employed in the 26 occupations with the highest AI exposure, as determined by June 2026 research by the Virginia Economic Information and Analytics Division.

The findings revealed that 500,000 Texas workers, or 3.55 percent of the total workforce, are employed in occupations with "high exposure to potential AI disruption."

This also places the Lone Star State as the 9th most at-risk state in the U.S. where AI exposure can lead to "declining hiring demand, wage pressure, task automation, and other forms of disruption."

"States with larger concentrations of highly exposed occupations could experience more pronounced labor-market changes, particularly in roles where core tasks are more vulnerable to AI-driven restructuring," the report's author wrote.

Texas' biggest cities, like Houston and Austin, are known for their thriving tech and business industries, and the study noted that many of the occupations within those sectors are the most at risk. The Virginia Economic Information and Analytics Division said the top five most AI-exposed occupations in the U.S. are: mathematicians, proofreaders, correspondence clerks, court reporters, and media and communication workers. Additionally, computer programmers, database administrators, web developers, telephone operators, and communications equipment operators round out the top 10 most at-risk positions.

These are the 16 remaining occupations most exposed to AI disruption, in order:

  • Data Entry Keyers
  • Statistical Assistants
  • Office Support Workers
  • Interpreters and Translators
  • Database Architects
  • Software Quality Assurance Analysts
  • Medical Transcriptionists
  • Software Developers
  • Writers and Authors
  • Payroll Clerks
  • Web Designers
  • Miscellaneous Computer Occupations
  • Insurance Claims Processors
  • Telemarketers
  • Computer Numerically Controlled Tool Programmers
  • Bookkeeping and Accounting Clerks

A separate SmartAsset report from April 2026 found about 20.5 percent of Texas workers use AI to do their jobs in some capacity. That trend will continue to shift further as employers and employees choose to adopt — or reject — AI implementation.

Across the U.S., Washington topped the list as the state with the highest concentration of AI-exposed jobs, with nearly 5.7 percent of the state's workforce employed in the 26 most at-risk positions. SmartAsset said Washington's high prevalence of technology companies is a significant factor that skyrocketed the state to the top of the list.

"Home to major technology companies including Microsoft, Amazon, T-Mobile and Expedia, the state has large numbers of computer programmers and software developers, two occupations with high exposure," the report said.

Meanwhile, Mississippi ranked No. 51 with the lowest concentration of AI-exposed jobs in the nation. About 22,500 workers in Mississippi, or 1.93 percent of its workforce, are at risk for AI disruption.

The top 10 states where AI could reshape the most jobs are:

  • No. 1 – Washington
  • No. 2 – Virginia
  • No. 3 – District of Columbia
  • No. 4 – California
  • No. 5 – Utah
  • No. 6 – Maryland
  • No. 7 – Colorado
  • No. 8 – New Hampshire
  • No. 9 – Texas
  • No. 10 – North Carolina
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This article originally appeared on CultureMap.com.