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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Houston neighbor named richest small town in Texas for 2025

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Affluent Houston neighbor Bellaire is cashing in as the richest small town in Texas for 2025, according to new study from GoBankingRates.

The report, "The Richest Small Town in Every State," used data from the U.S. Census Bureau's American Community Survey to determine the 50 richest small towns in America based on their median household income.

Of course, Houstonians realize that describing Bellaire as a "small town" is a bit of misnomer. Located less than 10 miles from downtown and fully surrounded by the City of Houston, Bellaire is a wealthy enclave that boasts a population of just over 17,000 residents. These affluent citizens earn a median $236,311 in income every year, which GoBankingRates says is the 11th highest household median income out of all 50 cities included in the report.

The average home in this city is worth over $1.12 million, but Bellaire's lavish residential reputation often attracts properties with multimillion-dollar price tags.

Bellaire also earned a shining 81 livability score for its top quality schools, health and safety, commute times, and more. The livability index, provided by Toronto, Canada-based data analytics and real estate platform AreaVibes, said Bellaire has "an abundance of exceptional local amenities."

"Among these are conveniently located grocery stores, charming coffee shops, diverse dining options and plenty of spacious parks," AreaVibes said. "These local amenities contribute significantly to its overall appeal, ensuring that [residents'] daily needs are met and offering ample opportunities for leisure and recreation."

Earlier in 2025, GoBankingRates ranked Bellaire as the No. 23 wealthiest suburb in America, and it's no stranger to being named on similar lists comparing the richest American cities.

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This article originally appeared on CultureMap.com.

How a Houston startup is taking on corrosion, a costly climate threat

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Corrosion is not something most people think about, but for Houston's industrial backbone pipelines, refineries, chemical plants, and water infrastructure, it is a silent and costly threat. Replacing damaged steel and overusing chemicals adds hundreds of millions of tons of carbon emissions every year. Despite the scale of the problem, corrosion detection has barely changed in decades.

In a recent episode of the Energy Tech Startups Podcast, Anwar Sadek, founder and CEO of Corrolytics, explained why the traditional approach is not working and how his team is delivering real-time visibility into one of the most overlooked challenges in the energy transition.

From Lab Insight to Industrial Breakthrough

Anwar began as a researcher studying how metals degrade and how microbes accelerate corrosion. He quickly noticed a major gap. Companies could detect the presence of microorganisms, but they could not tell whether those microbes were actually causing corrosion or how quickly the damage was happening. Most tests required shipping samples to a lab and waiting months for results, long after conditions inside the asset had changed.

That gap inspired Corrolytics' breakthrough. The company developed a portable, real-time electrochemical test that measures microbial corrosion activity directly from fluid samples. No invasive probes. No complex lab work. Just the immediate data operators can act on.

“It is like switching from film to digital photography,” Anwar says. “What used to take months now takes a couple of hours.”

Why Corrosion Matters in Houston's Energy Transition

Houston's energy transition is a blend of innovation and practicality. While the world builds new low-carbon systems, the region still depends on existing industrial infrastructure. Keeping those assets safe, efficient, and emission-conscious is essential.

This is where Corrolytics fits in. Every leak prevented, every pipeline protected, and every unnecessary gallon of biocide avoided reduces emissions and improves operational safety. The company is already seeing interest across oil and gas, petrochemicals, water and wastewater treatment, HVAC, industrial cooling, and biofuels. If fluids move through metal, microbial corrosion can occur, and Corrolytics can detect it.

Because microbes evolve quickly, slow testing methods simply cannot keep up. “By the time a company gets lab results, the environment has changed completely,” Anwar explains. “You cannot manage what you cannot measure.”

A Scientist Steps Into the CEO Role

Anwar did not plan to become a CEO. But through the National Science Foundation's ICorps program, he interviewed more than 300 industry stakeholders. Over 95 percent cited microbial corrosion as a major issue with no effective tool to address it. That validation pushed him to transform his research into a product.

Since then, Corrolytics has moved from prototype to real-world pilots in Brazil and Houston, with early partners already using the technology and some preparing to invest. Along the way, Anwar learned to lead teams, speak the language of industry, and guide the company through challenges. “When things go wrong, and they do, it is the CEO's job to steady the team,” he says.

Why Houston

Relocating to Houston accelerated everything. Customers, partners, advisors, and manufacturing talent are all here. For industrial and energy tech startups, Houston offers an ecosystem built for scale.

What's Next

Corrolytics is preparing for broader pilots, commercial partnerships, and team growth as it continues its fundraising efforts. For anyone focused on asset integrity, emissions reduction, or industrial innovation, this is a company to watch.

Listen to the full conversation with Anwar Sadek on the Energy Tech Startups Podcast to learn more:

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Energy Tech Startups Podcast is hosted by Jason Ethier and Nada Ahmed. It delves into Houston's pivotal role in the energy transition, spotlighting entrepreneurs and industry leaders shaping a low-carbon future.

This article originally appeared on our sister site, EnergyCapitalHTX.com.

These 50+ Houston scientists rank among world’s most cited

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Fifty-one scientists and professors from Houston-area universities and institutions were named among the most cited in the world for their research in medicine, materials sciences and an array of other fields.

The Clarivate Highly Cited Researchers considers researchers who have authored multiple "Highly Cited Papers" that rank in the top 1percent by citations for their fields in the Web of Science Core Collection. The final list is then determined by other quantitative and qualitative measures by Clarivate's judges to recognize "researchers whose exceptional and community-wide contributions shape the future of science, technology and academia globally."

This year, 6,868 individual researchers from 60 different countries were named to the list. About 38 percent of the researchers are based in the U.S., with China following in second place at about 20 percent.

However, the Chinese Academy of Sciences brought in the most entries, with 258 researchers recognized. Harvard University with 170 researchers and Stanford University with 141 rounded out the top 3.

Looking more locally, the University of Texas at Austin landed among the top 50 institutions for the first time this year, tying for 46th place with the Mayo Clinic and University of Minnesota Twin Cities, each with 27 researchers recognized.

Houston once again had a strong showing on the list, with MD Anderson leading the pack. Below is a list of the Houston-area highly cited researchers and their fields.

UT MD Anderson Cancer Center

  • Ajani Jaffer (Cross-Field)
  • James P. Allison (Cross-Field)
  • Maria E. Cabanillas (Cross-Field)
  • Boyi Gan (Molecular Biology and Genetics)
  • Maura L. Gillison (Cross-Field)
  • David Hong (Cross-Field)
  • Scott E. Kopetz (Clinical Medicine)
  • Pranavi Koppula (Cross-Field)
  • Guang Lei (Cross-Field)
  • Sattva S. Neelapu (Cross-Field)
  • Padmanee Sharma (Molecular Biology and Genetics)
  • Vivek Subbiah (Clinical Medicine)
  • Jennifer A. Wargo (Molecular Biology and Genetics)
  • William G. Wierda (Clinical Medicine)
  • Ignacio I. Wistuba (Clinical Medicine)
  • Yilei Zhang (Cross-Field)
  • Li Zhuang (Cross-Field)

Rice University

  • Pulickel M. Ajayan (Materials Science)
  • Pedro J. J. Alvarez (Environment and Ecology)
  • Neva C. Durand (Cross-Field)
  • Menachem Elimelech (Chemistry and Environment and Ecology)
  • Zhiwei Fang (Cross-Field)
  • Naomi J. Halas (Cross-Field)
  • Jun Lou (Materials Science)
  • Aditya D. Mohite (Cross-Field)
  • Peter Nordlander (Cross-Field)
  • Andreas S. Tolias (Cross-Field)
  • James M. Tour (Cross-Field)
  • Robert Vajtai (Cross-Field)
  • Haotian Wang (Chemistry and Materials Science)
  • Zhen-Yu Wu (Cross-Field)

Baylor College of Medicine

  • Nadim J. Ajami (Cross-Field)
  • Biykem Bozkurt (Clinical Medicine)
  • Hashem B. El-Serag (Clinical Medicine)
  • Matthew J. Ellis (Cross-Field)
  • Richard A. Gibbs (Cross-Field)
  • Peter H. Jones (Pharmacology and Toxicology)
  • Sanjay J. Mathew (Cross-Field)
  • Joseph F. Petrosino (Cross-Field)
  • Fritz J. Sedlazeck (Biology and Biochemistry)
  • James Versalovic (Cross-Field)

University of Houston

  • Zhifeng Ren (Cross-Field)
  • Yan Yao (Cross-Field)
  • Yufeng Zhao (Cross-Field)
  • UT Health Science Center Houston
  • Hongfang Liu (Cross-Field)
  • Louise D. McCullough (Cross-Field)
  • Claudio Soto (Cross-Field)

UTMB Galveston

  • Erez Lieberman Aiden (Cross-Field)
  • Pei-Yong Shi (Cross-Field)

Houston Methodist

  • Eamonn M. M. Quigley (Cross-Field)