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 leaders form coalition to boost Texas power grid with new tech

a better grid

A Houston-based coalition that launched this month aims to educate Texas officials about technology designed to shore up the state’s power grid.

The public-private Texas Reliability Coalition says it will promote utility-scale microgrid technology geared toward strengthening the resilience and reliability of the Texas power grid, particularly during extreme weather.

A utility-operated microgrid is a group of interconnected power loads and distributed energy sources that can operate in tandem with or apart from regular power grids, such as the grid run by the Electric Reliability Council of Texas (ERCOT). Legislation passed in 2023 enables the use of utility-scale microgrid technology in Texas’ deregulated energy market, according to the coalition.

John Elder, executive director of the coalition, says that with the legal framework now in place, the Public Utility Commission of Texas and ERCOT need to create rules to establish the Texas marketplace for microgrid technology. The goal, he says, is to “take the Texas grid from good to great” by installing microgrid technology, improving the infrastructure, and strengthening the system — all targeted toward meeting power needs during extreme weather and amid growing demand.

Houston-based CenterPoint Energy will test the utility-scale microgrid technology being promoted by the coalition. In a January 31 filing with the Public Utility Commission, CenterPoint says microgrid technology will be featured in a $36.5 million pilot program that’ll set up an estimated three to five microgrids in the company’s service area. The pilot program is slated to last from 2026 to 2028.

In the public affairs arena, five Houston executives are leading the new reliability commission’s microgrid initiative.

Elder, one of the coalition’s founding members, is president and CEO of Houston-based Acclaim Energy. Other founders include Ember Real Estate Investment & Development, Park Eight Development, and PowerSecure. Ember and Park Eight are based in Houston. Durham, North Carolina-based PowerSecure, which produces microgrid technology, is a subsidiary of energy provider Southern Co.

Aside from Elder, members of the coalition’s board are:

  • Stewart Black, board secretary of the coalition and vice president of Acclaim Energy’s midstream division
  • Todd Burrer, president of municipal utility districts at Inframark
  • Harry Masterson, managing principal of Ember
  • Martin Narendorf, former vice president at CenterPoint Energy

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This article originally appeared on our sister site, EnergyCapital.

This Houston neighbor is the fastest growing wealthy suburb in America

By The Numbers

The Houston-area city of Fulshear is booming like nowhere else: It's now the No. 1 fast-growing affluent suburb in the country.

Fulshear's No. 1 status was unveiled in a new GoBankingRates' study that ranked the "30 Fastest Growing Wealthy Suburbs in America" for 2025. The report examined population changes from 2018 to 2023 among cities and towns in major U.S. metro areas with populations between 25,000 and 100,000 residents. Median household income, average home value, and a "livability score" were also calculated for each locale.

Fulshear, located 34 miles west of downtown Houston, experienced the most dramatic population increase out of all 30 cities in the report. Though the suburb only has an estimated population of 42,616 residents, that number has skyrocketed 237 percent during the five-year period.

A Fulshear resident's median income is $178,398 annually, and the average value of a home in the city comes out to $521,157, the report additionally found.

Fulshear was the second fastest growing city in America in 2023. The city's growth is further reflected by the number of new apartments that were built in the area in 2024.

Texas is tops
Texas cities took the top three fastest growing U.S. suburbs for 2025, with Dallas-area cities of Celina (No. 2) and Prosper (No. 3) experiencing wildly different (yet still sky high) population changes. Celina's population ballooned 190 percent to 43,317 residents, while Prosper's grew 81 percent to an estimated 41,660 people.

Other Texas cities that earned spots in the report include Flower Mound (No. 19), Southlake (No. 27), University Park (No. 28) and Colleyville (No. 29), all in the Dallas-Fort Worth area.

"The old adage that everything is bigger in Texas is true, considering the number of Lone Star State suburbs that are quickly growing in population and overall wealth," the report's author wrote.

The top 10 fastest growing wealthy suburbs in America are:

  • No. 1 – Fulshear, Texas
  • No. 2 – Celina, Texas
  • No. 3 – Prosper, Texas
  • No. 4 – Erie, Colorado
  • No. 5 – Clarksburg, Maryland
  • No. 6 – Zionsville, Indiana
  • No. 7 – Redmond, Washington
  • No. 8 – Dublin, California
  • No. 9 – Parkland, Florida
  • No. 10 – Eastvale, California
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This story originally appeared on our sister site CultureMap.com.

Rice research breakthrough paves the way for advanced disease therapies

study up

Bioengineers at Rice University have developed a “new construction kit” for building custom sense-and-respond circuits in human cells, representing a major breakthrough in the field of synthetic biology, which could "revolutionize" autoimmune disease and cancer therapeutics.

In a study published in the journal Science, the team focused on phosphorylation, a cellular process in the body in which a phosphate group is added to a protein, signaling a response. In multicellular organisms, phosphorylation-based signaling can involve a multistage, or a cascading-like effect. Rice’s team set out to show that each cycle in a cascade can be treated as an elementary unit, meaning that they can be reassembled in new configurations to form entirely novel pathways linking cellular inputs and outputs.

Previous research on using phosphorylation-based signaling for therapeutic purposes has focused on re-engineering pathways.

“This opens up the signaling circuit design space dramatically,” Caleb Bashor, assistant professor of bioengineering and biosciences and corresponding author on the study, said in a news release. “It turns out, phosphorylation cycles are not just interconnected but interconnectable … Our design strategy enabled us to engineer synthetic phosphorylation circuits that are not only highly tunable but that can also function in parallel with cells’ own processes without impacting their viability or growth rate.”

Bashor is the deputy director for the Rice Synthetic Biology Institute, which launched last year.

The Rice lab's sense-and-respond cellular circuit design is also innovative because phosphorylation occurs rapidly. Thus, the new circuits could potentially be programmed to respond to physiological events in minutes, compared to other methods, which take hours to activate.

Rice’s team successfully tested the circuits for sensitivity and their ability to respond to external signals, such as inflammatory issues. The researchers then used the framework to engineer a cellular circuit that can detect certain factors, control autoimmune flare-ups and reduce immunotherapy-associated toxicity.

“This work brings us a whole lot closer to being able to build ‘smart cells’ that can detect signs of disease and immediately release customizable treatments in response,” Xiaoyu Yang, a graduate student in the Systems, Synthetic and Physical Biology Ph.D. program at Rice who is the lead author on the study, said in a news release.

Ajo-Franklin, a professor of biosciences, bioengineering, chemical and biomolecular engineering and a Cancer Prevention and Research Institute of Texas Scholar, added “the Bashor lab’s work vaults us forward to a new frontier — controlling mammalian cells’ immediate response to change.”