It's possible to predict some violent public protests by tracking social media posts on moral outrage over a triggering event. Tracy Le Blanc/Pexels

Every grade school teacher knows that student conduct can get out of hand, fast, when a group of kids eggs on one individual. Time-outs are a testimony to the power of isolating one 10-year-old from a choir of buddies.

Social media plays a role similar to a gang of hyped-up grade schoolers, providing a community that can express collective disapproval of people or events. When this disapproval has a moral cast ⁠— for example, after a police shooting or the removal of a statue ⁠— the social network's particular characteristics are key predictors about whether that disapproval will turn violent.

There is a word for the way group support of a belief system makes it seem worth fighting for: moralization. Tracking social network activity now makes it possible to measure the chances for an individual belief to become moralized by a group ⁠— a phenomenon known as moral convergence.

In a recent study in Nature, Rice Business professor Marlon Mooijman, then at the Kellogg School of Management, joined a team that analyzed when and how violence erupts in protests. In a series of observation and behavior experiments that mixed psychology, organizational theory and computer science, they accurately predicted how violence is influenced by group discussion of moral views on social media.

The researchers started by studying the number and content of tweets linked to the Baltimore riots in 2015, after the death of Freddie Gray in police custody. The researchers then compared these tweets with the number of arrests in a given time frame, using a methodology developed by Marlon Mooijman and Joe Hoover from the Brain and Creativity Institute at the University of Southern California.

To analyze the tweets responding to Gray's death, they first separated them into two sets: Those with moral commentary and those without moral judgments.

Next, the researchers tracked whether tweets with moral content increased on days with violent protests. Violence was measured using the number of police arrests, which the researchers compared with the specific time frames of moral tweets.

There was no major difference in the overall tweet traffic discussing Freddie Gray's death on days with violent protests and on peaceful days. The number of moralizing tweets, however, clearly correlated with episodes of violent protests, rising to nearly double the moralizing tweets on days with no violence.

This raised a provocative question. Were morally ⁠— based tweets a response to the events of the day ⁠— or were they somehow driving the violence?

To find out, Mooijman and Hoover worked with computer scientists Ying Lin and Jeng Ji of Rensselaer Polytechnic Institute and Morteza Dehghani of the University of Southern California to develop algorithms that could establish mathematical probabilities for the results.

For every single-unit increase in moral tweets over a 4-hour period, the researchers found, there was a .25 corresponding increase in arrests.

The researchers then tried to measure the effect similar moral views ⁠— such as a social media page with self-selected members of a similar political affiliation ⁠— had on violence during protests.

To do so, they set up a second study, which measured participant reactions to the protestors of a far-right rally in Charlottesville, Virginia in 2017. Participants ranked their level of agreement over the morality of protesting the rally.

There was a direct relationship between believing a protest action was moral, the researchers found, and finding violence at that protest acceptable. This relationship held true throughout the study, regardless of political orientation.

The researchers' next goal was to identify the impact of exposure to people of like beliefs. To do this, participants rated their feelings when they were told that most people in the U.S. shared their views. While the intensity of participants' moral views created the potential for violence, the researchers found, violence resulted when only actively validated by others with similar views.

Having one's moral outrage supported by others on social media, the professors concluded, may explain the spike in violence in recent protests.

While respect for privacy remains critical, governments and law enforcement can use the social media trend to pinpoint the moments when moral outrage can turn deadly. Perhaps most importantly, however, the research also suggests practical tactics for calming violent tendencies before they get out of control. To reduce real-life protest violence, they wrote, it's critical that social media sites include a variety of voices. It's another reason, if any were needed, that a bit of judicious exposure to other views is healthy for everyone.

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This story originally ran on Rice Business Wisdom.

Marlon Mooijman is an assistant professor of Organizational Behavior. He teaches in the undergraduate business minor program and MBA full-time program.

Without trust, workplace productivity, reciprocity and cooperation break down, according to this Rice University research. Pexels

Rice University research shows the importance of coworker and leadership trust within businesses

Houston Voices

While U.S. soldiers battled in Vietnam, inside the White House, President Lyndon Johnson grew increasingly suspicious of those closest to him. The legendary political dealmaker now believed that any opposition to the war was part of a conspiracy against him; aides who questioned his policy might be part of it. According to research using newly available interviews and telephone transcripts, Johnson's distrust may have been triggered by the very experience of being in power.

But how, exactly? In a recent paper, Rice Business professor Marlon Mooijman and a team of colleagues delve deeply into the interaction of power and trust, seeking answers about when and why wielding power degrades leaders' belief in those around them.

The question has deep implications not only in politics, but also in business. "Managers must trust employees' willingness to comply with instructions and keep the company's best interest in mind," Mooijman notes. Without that trust, past research shows, workplace productivity, reciprocity and cooperation break down. Leaders who successfully craft trusting bonds with their coworkers and employees, on the other hand, are more effective than those who don't.

To learn why leaders might abandon that trust, Mooijman's team set up four studies. First, though, they had to establish a working definition of trust. Trust, they proposed, is the willingness to be vulnerable to another party's actions, based on the expectation that the other party will perform a specific action important to the truster — even without the truster's ability to monitor or control the activity. Essential to a trusting relationship: the expectation of the other party's goodwill, and the willingness to expose themselves to possible exploitation if that goodwill fails.

Whether you work in an indie coffee shop or a giant software company, most workers can name a leader who lacks that kind of trust. Many also have had the good luck of a leader who isn't lacking in that department. The difference between such managers, Mooijman's team found, may be the stability of their power.

There are plenty of reasons for wanting to keep power, obviously. In relationships, power holders are able to disregard others' wishes and pursue their own. Within the individual, power boosts self-esteem and encourages behaviors such as expressing amusement and happiness. Less obvious, however, is the effect of fearing a loss of power. Leaders whose power feels unstable experience this physically, with changes in heart rate and blood pressure. They have a heightened awareness of colleagues they perceive as threats, and are more prone to divide coworkers and disrupt their alliances.

When power holders or leaders perceive their power to be unstable, it's that prospect of power loss that erodes their trust in those around them, even helpful and often unsuspecting colleagues. So strong is this effect that it occurs even when the loss of power comes with an economic benefit, Mooijman notes. "Unstable power decreases trust," the team found, "regardless of whether we provided participants with a justification of their unstable position."

To reach their conclusions, Mooijman's team first surveyed 206 participants assembled through Amazon's Mechanical Turk software. Each participant was randomly assigned a power ranking (high or low) and asked to imagine being a VP of sales at a mid-sized firm. Some were told that as part of a productivity initiative they would be reassigned to other divisions. The participants were then asked to rank their perception of their power at their firm and their perception of their job stability there. Regardless of whether their job reassignment was explained or not, the researchers found, the participants who perceived their jobs — that is, their power — to be unstable showed more mistrust of their coworkers.

A final study, a field experiment with real life managers and subordinates, reinforced these findings. Managers in positions of relatively high power who perceived their jobs were unstable were more prone to voice distrust about their subordinates.

While instability is built into political careers, Mooijman's findings have practical implications in other industries. For example, the common practice of moving workers between departments, meant to build insight and productivity, may backfire. Instead of strengthening team spirit, the strategy will likely foment distrust. Similarly, at high levels of power, emphasizing job instability with tactics such as high-stakes, winner-take-all performance metrics might be counterproductive.

Power doesn't always erode trust, the researchers found. Leaders who felt their power was secure didn't show the same level of suspicion as those who felt their roles were insecure. But when power seems fragile, the research revealed, even the most seasoned leaders are prone to abandon trust in their colleagues and see work as a battlefield.

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This story originally ran on Rice Business Wisdom.

Marlon Mooijman is an assistant professor in the management department (organizational behavior division) 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.