How we describe inequality is significant because it impacts our view of who causes it and how society should address it. Photo via Getty Images

Look closely at any news article about inequality and you will quickly notice that there is more than one way to describe what is happening.

For example:

“In 2022, men earned $1.18 for every dollar women earned.”

“In 2022, women earned 82 cents for every dollar men earned.”

“In 2022, the gender wage gap was 18 cents per dollar.”

When pointing out differences in access to resources and opportunities among groups of people, we tend to use three types of language:

  1. Advantaged — Describes an issue in terms of advantages the more dominant group enjoys.
  2. Disadvantaged — Describes an issue in terms of disadvantages the less dominant group experiences.
  3. Neutrality — Stays general enough to avoid direct comparisons between groups of people.

The difference between these three lenses, referred to as “frames” in academic literature, may be subtle. We may miss it completely when skimming a news article or listening to a friend share an opinion. But frames are more significant than we may realize.

“Frames of inequality matter because they shape our view of what is wrong and what should be fixed,” says Rice Business Professor Sora Jun.

Jun led a research team that conducted multiple studies to understand which of the three frames people typically use to describe social and economic inequality. In total, they analyzed more than 19,000 mainstream media articles and surveyed more than 600 U.S.-based participants.

In Chronic frames of social inequality: How mainstream media frame race, gender, and wealth inequality, the team published two major findings.

First, people tend to describe gender and racial inequality using the language of disadvantage. For example, “The data showed that officers pulled over Black drivers at a rate far out of proportion to their share of the driving-age population.”

Jun’s team encountered the same rhetorical tendency with gender inequality. In most cases, people describe instances of gender inequality (e.g., the gender pay gap) in terms of a disadvantage for women. We are far more likely to use the statement “Women earned 82 cents for every dollar men earned” than “Men earned $1.18 cents for every dollar women earned.”

"We expected that people would use the disadvantage framework to describe racial and gender inequalities, and it turned out to be true,” says Jun. “We think that the reason for this stems from how legitimate we perceive different hierarchies to be.” Because demographic categories like gender and race are unrelated to talent or effort, most people find it unfair that resources are distributed unevenly along these lines.

On the other hand, Jun expected people to describe wealth inequality in terms of advantage rather than disadvantage. The public typically considers this form of inequality to be more fair than racial or gender inequality. “In the U.S., there is still a widespread belief in economic mobility — that if you work hard enough, you can change the socioeconomic group you are in,” she says.

But in their second major finding, she and fellow researchers discovered that the most common frame used to describe wealth inequality was no frame at all. We find this neutrality in statements like “Disparities in education, health care and social services remain stark.”

Jun is not sure why people take a neutral approach more frequently when describing wealth inequality (speaking specifically of economic classes outside of gender and race). She suspects it has something to do with the fact that we view wealth as a fluid and continuous spectrum.

The merits of the three frames are up for debate. Using the frame of disadvantage might seem to portray issues more sympathetically, but some scholars point to potential downsides. The language of disadvantage installs the dominant group as the measuring stick for everyone else. It may also put the onus of change on the disadvantaged group while making the problem seem less relevant to the dominant group.

“When we speak about the gender gap in terms of disadvantage, and helping women earn more compared to men, we automatically assume that men are making the correct amount,” says Jun. “But maybe we should be looking at both sides of the equation.”

On the other hand, Jun cautions against using a one-size-fits-all approach to describing inequality. “We have to be careful not to jump to an easy conclusion, because the causes of inequality are so vast,” she says.

For example, men tend to interrupt conversations in team meetings at higher rates than women. “Should we frame this behavior in terms of advantage or disadvantage, which naturally leads us to prompt men to interrupt less and women to interrupt more?” asks Jun. “We really don’t know until we understand the ideal number of interruptions and why this deviation is happening. Ultimately, how we talk about inequality depends on what we want to accomplish. I hope that through this research, people will think more carefully about how they describe inequality so that they capture the full story before they act.”

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This article originally ran on Rice Business Wisdom and was based on research from Sora Jun, Rosalind M. Chow, A. Maurits van der Veen and Erik Bleich.

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Rice University researchers unveil new model that could sharpen MRI scans

MRI innovation

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 recently 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.” Previous models only approximated how water molecules relaxed around contrasting agents. However, through this new model, known as the NMR eigenmodes framework, the research team has uncovered the “full physical equations” to explain the process.

“The concept is similar to how a musical chord consists of many notes,” Thiago Pinheiro, the study’s first author, a Rice doctoral graduate in chemical and biomolecular engineering and postdoctoral researcher in the chemical sciences division at Oak Ridge National Laboratory, said in a news release. “Previous models only captured one or two notes, while ours picks up the full harmony.”

According to Rice, the findings could lead to the development and application of new contrast agents for clearer MRIs in medicine and materials science. Beyond MRIs, the NMR relaxation method could also be applied to other areas like battery design and subsurface fluid flow.

“In the present paper, we developed a comprehensive theory to interpret those previous molecular dynamics simulations and experimental findings,” Dilipkumar Asthagiri, a senior computational biomedical scientist in the National Center for Computational Sciences at Oak Ridge National Laboratory, said in the release. ”The theory, however, is general and can be used to understand NMR relaxation in liquids broadly.”

The team has also made its code available as open source to encourage its adoption and further development by the broader scientific community.

“By better modeling the physics of nuclear magnetic resonance relaxation in liquids, we gain a tool that doesn’t just predict but also explains the phenomenon,” Walter Chapman, a professor of chemical and biomolecular engineering at Rice, added in the release. “That is crucial when lives and technologies depend on accurate scientific understanding.”

The study was backed by The Ken Kennedy Institute, Rice Creative Ventures Fund, Robert A. Welch Foundation and Oak Ridge Leadership Computing Facility at Oak Ridge National Laboratory.

Luxury transportation startup connects Houston with Austin and San Antonio

On The Road Again

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.

Bookings are now available Monday through Saturday with departure times in the morning and evening. One-way fares range from $47-$87, putting Shutto in a similar lane to Dallas-based Vonlane, which also offers routes from Houston to Austin and San Antonio.

Shutto enters the market at a time when highway congestion is a hotter topic than ever. With high-speed rail still years in the future, its model aims to provide fast, predictable service at commuter prices.

The startup touts an on-time departure guarantee and a relaxed, intimate ride. Only 12 passengers fit inside each Mercedes Sprinter van, equipped with Wi-Fi and leather seating. And each route includes a pit stop at roadside favorite Buc-ee's.

In announcing the launch, founder and CEO Alberto Salcedo called the company a new category in Texas mobility.

“We are bringing true disruptive mobility to Texas: faster and more convenient than flying (no security lines, no delays), more comfortable and exclusive than the bus or train, and up to 70 percent cheaper than private transfers or Uber Black,” Salcedo said in a release.

“Whether you’re commuting for business, visiting family, exploring Texas wineries, or doing a taco tour in San Antonio, Shutto makes traveling between these cities as easy and affordable as riding inside the city."

Beyond the scheduled routes, Shutto offers private, customizable trips anywhere in the country, a service it expects will appeal to corporate retreat planners, party planners, and tourists alike.

In Houston, the service picks up and drops off near the Galleria at the Foam Coffee & Kitchen parking lot, 5819 Richmond Ave.. In San Antonio, it is located at La Panadería Bakery’s parking lot at 8305 Broadway. In Austin, the location is the Pershing East Café parking lot at 2501 E. Fifth St.

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This article originally appeared on CultureMap.com.

Houston-area lab grows with focus on mobile diagnostics and predictive medicine

mobile medicine

When it comes to healthcare, access can be a matter of life and death. And for patients in skilled nursing facilities, assisted living or even their own homes, the ability to get timely diagnostic testing is not just a convenience, it’s a necessity.

That’s the problem Principle Health Systems (PHS) set out to solve.

Founded in 2016 in Clear Lake, Texas, PHS began as a conventional laboratory but quickly pivoted to mobile diagnostics, offering everything from core blood work and genetic testing to advanced imaging like ultrasounds, echocardiograms, and X-rays.

“We were approached by a group in a local skilled nursing facility to provide services, and we determined pretty quickly there was a massive need in this area,” says James Dieter, founder, chairman and CEO of PHS. “Turnaround time is imperative. These facilities have an incredibly sick population, and of course, they lack mobility to get the care that they need.”

What makes PHS unique is not only what they do, but where they do it. While they operate one of the largest labs serving skilled nursing facilities in the state, their mobile teams go wherever patients are, whether that’s a nursing home, a private residence or even a correctional facility.

Diagnostics, Dieter says, are at the heart of medical decision-making.

“Seventy to 80 percent of all medical decisions are made from diagnostic results in lab and imaging,” he says. “The diagnostic drives the doctor’s or the provider’s next move. When we recognized a massive slowdown in lab results, we had to innovate to do it faster.”

Innovation at PHS isn’t just about speed; it’s about accessibility and precision.

Chris Light, COO, explains: “For stat testing, we use bedside point-of-care instruments. Our phlebotomists take those into the facilities, test at the bedside, and get results within minutes, rather than waiting days for results to come back from a core lab.”

Scaling a mobile operation across multiple states isn’t simple, but PHS has expanded into nine states, including Texas, Oklahoma, Kansas, Missouri and Arizona. Their model relies on licensed mobile phlebotomists, X-ray technologists and sonographers, all trained to provide high-level care outside traditional hospital settings.

The financial impact for patients is significant. Instead of ambulance rides and ER visits costing thousands, PHS services often cost just a fraction, sometimes only tens or hundreds of dollars.

“Traditionally, without mobile diagnostics, the patient would be loaded into a transportation vehicle, typically an ambulance, and taken to a hospital,” Dieter says. “Our approach is a fraction of the cost but brings care directly to the patients.”

The company has also embraced predictive and personalized medicine, offering genetic tests that guide medication decisions and laboratory tests that predict cognitive decline from conditions like Alzheimer's and Parkinson’s.

“We actively look for complementary services to improve patient outcomes,” Dieter says. “Precision medicine and predictive testing have been a great value-add for our providers.”

Looking to the future, PHS sees mobile healthcare as part of a larger trend toward home-based care.

“There’s an aging population that still lives at home with caretakers,” Dieter explains. “We go into the home every day, whether it’s an apartment, a standalone home, or assisted living. The goal is to meet patients where they are and reduce the need for hospitalization.”

Light highlighted another layer of innovation: predictive guidance.

“We host a lot of data, and labs and imaging drive most treatment decisions,” Light says. “We’re exploring how to deploy diagnostics immediately based on results, eliminating hours of delay and keeping patients healthier longer.”

Ultimately, innovation at PHS isn’t just about technology; it’s about equity.

“There’s an 11-year life expectancy gap between major metro areas and rural Texas,” Dieter says. “Our innovation has been leveling the field, so everyone has access to high-quality diagnostics and care, regardless of where they live.”