When it comes to promoting social causes, corporations have to find a way to appear genuine over posturing. Photo via Getty Images

It is becoming more and more common for companies to promote social causes such as human rights, LGBTQ+ rights, racial justice, and environmental sustainability. But organizations face a tricky dilemma when expressing commitments to helping address social issues: Stakeholders may interpret their words and deeds as shallow rhetoric or insincere posturing.

Terms like “greenwashing” (regarding environmentalism) or “pinkwashing” (regarding LGBTQ+ rights) are on the rise, and they signal heightened suspicions around companies doing something with ostensible objectives of bringing in positive social change.

It's critical for researchers and business leaders to investigate this duality of audience perception: actual virtue versus virtue-signaling. In an age of social media and polarization, consumers are increasingly likely to wonder: Does this company have ulterior motives? Are they trying to cover for their own wrongdoing? Are they actually walking the walk, or are they merely talking the talk?

When can companies avoid such suspicion of being pro-social imposters?

Minjae Kim of Rice Business and Ezra W. Zuckerman Sivan of MIT Sloan School of Management have taken a close look at the conditions under which upholding social norms will make firms appear to be “model citizens” and when it will make them seem like imposters.

Their theory is two-fold: First, those who follow through and do social good in response to an explicit “social mandate” are viewed as “model citizens.” Second, those who go out of their way to do social good without any prompts or social mandates are less likely to be trusted and will be widely viewed as imposters.

Think about the following situation. A “social mandate” is given to a politician when they are asked in an interview what they think about a particular cause. In that context, if they express support, audiences are less likely to suspect the politician of having ulterior motives or pandering to constituents. After all, if the politician does not express support in that situation, that is tantamount to expressing disapproval. Here, the interview question (i.e., “social mandate”) provides a cover of plausible deniability to any suspicions of ulterior motives. Law enforcement (e.g., police, prosecutors) often have this social mandate built into their professions.

But if the politician takes initiative — unprompted — to support the same cause, they will more likely be viewed with suspicion. They may instead appear to seek out social rewards associated with supporting the cause (e.g., good reputation), without the cover of plausible deniability.

To test their theory, Kim and Zuckerman launched a series of experiments involving 509 online participants based in the United States. The experiments sought to determine how respondents perceive individuals who encourage others to abide by social norms. Participants were specifically asked to identify which of two individuals they think are “model citizens” committed to the norm, or “imposters” who are uncommitted but trying to hide their own deviance.

The researchers found that people who encourage others to abide by social norms when prompted (“social mandate”) are perceived as “model citizens,” while those who do the same but without such prompts are more likely to appear as “imposters.” This duality provides a clear guideline for managers engaging in corporate social responsibility: When suspicions are rampant, launching pro-social campaigns without a plausible mandate may heighten suspicion regarding motives.

The larger question is how to build firms and societies where people can safely support norms (that we all support) without being suspected as imposters. After all, we want our own norms and moral principles to govern our lives. But in some situations, we may mistakenly vilify those who are trying to do good, based on the absence of some contextual “social mandate.”

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This article originally ran on Rice Business Wisdom and was based on research from Minjae Kim, assistant professor of organizational behavior at Rice University Jones Graduate School of Business, and Ezra Zuckerman Sivan, the Alvin J. Siteman (1948) Professor of Strategy and Entrepreneurship at MIT Sloan School of Management.

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Houston researchers develop material to boost AI speed and cut energy use

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A team of researchers at the University of Houston has developed an innovative thin-film material that they believe will make AI devices faster and more energy efficient.

AI data centers consume massive amounts of electricity and use large cooling systems to operate, adding a strain on overall energy consumption.

“AI has made our energy needs explode,” Alamgir Karim, Dow Chair and Welch Foundation Professor at the William A. Brookshire Department of Chemical and Biomolecular Engineering at UH, explained in a news release. “Many AI data centers employ vast cooling systems that consume large amounts of electricity to keep the thousands of servers with integrated circuit chips running optimally at low temperatures to maintain high data processing speed, have shorter response time and extend chip lifetime.”

In a report recently published in ACS Nano, Karim and a team of researchers introduced a specialized two-dimensional thin film dielectric, or electric insulator. The film, which does not store electricity, could be used to replace traditional, heat-generating components in integrated circuit chips, which are essential hardware powering AI.

The thinner film material aims to reduce the significant energy cost and heat produced by the high-performance computing necessary for AI.

Karim and his former doctoral student, Maninderjeet Singh, used Nobel prize-winning organic framework materials to develop the film. Singh, now a postdoctoral researcher at Columbia University, developed the materials during his doctoral training at UH, along with Devin Shaffer, a UH professor of civil engineering, and doctoral student Erin Schroeder.

Their study shows that dielectrics with high permittivity (high-k) store more electrical energy and dissipate more energy as heat than those with low-k materials. Karim focused on low-k materials made from light elements, like carbon, that would allow chips to run cooler and faster.

The team then created new materials with carbon and other light elements, forming covalently bonded sheetlike films with highly porous crystalline structures using a process known as synthetic interfacial polymerization. Then they studied their electronic properties and applications in devices.

According to the report, the film was suitable for high-voltage, high-power devices while maintaining thermal stability at elevated operating temperatures.

“These next-generation materials are expected to boost the performance of AI and conventional electronics devices significantly,” Singh added in the release.

Houston to become 'global leader in brain health' and more innovation news

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Editor's note: The most-read Houston innovation news this month is centered around brain health, from the launch of Project Metis to Rice''s new Amyloid Mechanism and Disease Center. Here are the five most popular InnovationMap stories from December 1-15, 2025:

1. Houston institutions launch Project Metis to position region as global leader in brain health

The Rice Brain Institute, UTMB's Moody Brain Health Institute and Memorial Hermann’s comprehensive neurology care department will lead Project Metis. Photo via Unsplash.

Leaders in Houston's health care and innovation sectors have joined the Center for Houston’s Future to launch an initiative that aims to make the Greater Houston Area "the global leader of brain health." The multi-year Project Metis, named after the Greek goddess of wisdom and deep thought, will be led by the newly formed Rice Brain Institute, The University of Texas Medical Branch's Moody Brain Health Institute and Memorial Hermann’s comprehensive neurology care department. The initiative comes on the heels of Texas voters overwhelmingly approving a ballot measure to launch the $3 billion, state-funded Dementia Prevention and Research Institute of Texas (DPRIT). Continue reading.

2.Rice University researchers unveil new model that could sharpen MRI scans

New findings from a team of Rice University researchers could enhance MRI clarity. Photo via Unsplash.

Researchers at Rice University, in collaboration with Oak Ridge National Laboratory, have developed a new model that could lead to sharper imaging and safer diagnostics using magnetic resonance imaging, or MRI. In a study published in The Journal of Chemical Physics, the team of researchers showed how they used the Fokker-Planck equation to better understand how water molecules respond to contrast agents in a process known as “relaxation.” Continue reading.

3. Rice University launches new center to study roots of Alzheimer’s and Parkinson’s

The new Amyloid Mechanism and Disease Center will serve as the neuroscience branch of Rice’s Brain Institute. Photo via Unsplash.

Rice University has launched its new Amyloid Mechanism and Disease Center, which aims to uncover the molecular origins of Alzheimer’s, Parkinson’s and other amyloid-related diseases. The center will bring together Rice faculty in chemistry, biophysics, cell biology and biochemistry to study how protein aggregates called amyloids form, spread and harm brain cells. It will serve as the neuroscience branch of the Rice Brain Institute, which was also recently established. Continue reading.

4. Baylor center receives $10M NIH grant to continue rare disease research

BCM's Center for Precision Medicine Models has received funding that will allow it to study more complex diseases. Photo via Getty Images

Baylor College of Medicine’s Center for Precision Medicine Models has received a $10 million, five-year grant from the National Institutes of Health that will allow it to continue its work studying rare genetic diseases. The Center for Precision Medicine Models creates customized cell, fly and mouse models that mimic specific genetic variations found in patients, helping scientists to better understand how genetic changes cause disease and explore potential treatments. Continue reading.

5. Luxury transportation startup connects Houston with Austin and San Antonio

Shutto is a new option for Houston commuters. Photo courtesy of Shutto

Houston business and leisure travelers have a luxe new way to hop between Texas cities. Transportation startup Shutto has launched luxury van service connecting San Antonio, Austin, and Houston, offering travelers a comfortable alternative to flying or long-haul rideshare. Continue reading.

Texas falls to bottom of national list for AI-related job openings

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For all the hoopla over AI in the American workforce, Texas’ share of AI-related job openings falls short of every state except Pennsylvania and Florida.

A study by Unit4, a provider of cloud-based enterprise resource planning (ERP) software for businesses, puts Texas at No. 49 among the states with the highest share of AI-focused jobs. Just 9.39 percent of Texas job postings examined by Unit4 mentioned AI.

Behind Texas are No. 49 Pennsylvania (9.24 percent of jobs related to AI) and No. 50 Florida (9.04 percent). One spot ahead of Texas, at No. 47, is California (9.56 percent).

Unit4 notes that Texas’ and Florida’s low rankings show “AI hiring concentration isn’t necessarily tied to population size or GDP.”

“For years, California, Texas, and New York dominated tech hiring, but that’s changing fast. High living costs, remote work culture, and the democratization of AI tools mean smaller states can now compete,” Unit4 spokesperson Mark Baars said in a release.

The No. 1 state is Wyoming, where 20.38 percent of job openings were related to AI. The Cowboy State was followed by Vermont at No. 2 (20.34 percent) and Rhode Island at No. 3 (19.74 percent).

“A company in Wyoming can hire an AI engineer from anywhere, and startups in Vermont can build powerful AI systems without being based in Silicon Valley,” Baars added.

The study analyzed LinkedIn job postings across all 50 states to determine which ones were leading in AI employment. Unit4 came up with percentages by dividing the total number of job postings in a state by the total number of AI-related job postings.

Experts suggest that while states like Texas, California and Florida “have a vast number of total job postings, the sheer volume of non-AI jobs dilutes their AI concentration ratio,” according to Unit4. “Moreover, many major tech firms headquartered in California are outsourcing AI roles to smaller, more affordable markets, creating a redistribution of AI employment opportunities.”