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.”

------

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.

Ad Placement 300x100
Ad Placement 300x600

CultureMap Emails are Awesome

Autonomous truck company with Houston routes goes public

on a roll

Kodiak Robotics, a provider of AI-powered autonomous vehicle technology, has gone public through a SPAC merger and has rebranded as Kodiak AI. The company operates trucking routes to and from Houston, which has served as a launchpad for the business.

Privately held Kodiak, founded in 2018, merged with a special purpose acquisition company — publicly held Ares Acquisition Corp. II — to form Kodiak AI, whose stock now trades on the Nasdaq market.

In September, Mountain View, California-based Kodiak and New York City-based Ares disclosed a $145 million PIPE (private investment in public equity) investment from institutional investors to support the business combo. Since announcing the SPAC deal, more than $220 million has been raised for the new Kodiak.

“We believe these additional investments underscore our investors’ confidence in the value proposition of Kodiak’s safe and commercially deployed autonomous technology,” Don Burnette, founder and CEO of Kodiak, said in a news release.

“We look forward to leading the advancement of the commercial trucking and public sector industries,” he added, “and delivering on the exciting value creation opportunities ahead to the benefit of customers and shareholders.”

Last December, Kodiak debuted a facility near George Bush Intercontinental/Houston Airport for loading and loading driverless trucks. Transportation and logistics company Ryder operates the “truckport” for Ryder.

The facility serves freight routes to and from Houston, Dallas and Oklahoma City. Kodiak’s trucks currently operate with or without drivers. Kodiak’s inaugural route launched in 2024 between Houston and Dallas.

One of the companies using Kodiak’s technology is Austin-based Atlas Energy Solutions, which owns and operates four driverless trucks equipped with Kodiak’s driver-as-a-service technology. The trucks pick up fracking sand from Atlas’ Dune Express, a 42-mile conveyor system that carries sand from Atlas’ mine to sites near customers’ oil wells in the Permian Basin.

Altogether, Atlas has ordered 100 trucks that will run on Kodiak’s autonomous technology in an effort to automate Atlas’ supply chain.

Rice University scientists invent new algorithm to fight Alzheimer's

A Seismic Breakthrough

A new breakthrough from researchers at Rice University could unlock the genetic components that determine several human diseases such as Parkinson's and Alzheimer's.

Alzheimer's disease affected 57 million people worldwide in 2021, and cases in the United States are expected to double in the next couple of decades. Despite its prevalence and widespread attention of the condition, the full mechanisms are still poorly understood. One hurdle has been identifying which brain cells are linked to the disease.

For years, it was thought that the cells most linked with Alzheimer's pathology via DNA evidence were microglia, infection-fighting cells in the brain. However, this did not match with actual studies of Alzheimer's patients' brains. It's the memory-making cells in the human brain that are implicated in the pathology.

To prove this link, researchers at Rice, alongside Boston University, developed a computational algorithm called “Single-cell Expression Integration System for Mapping Genetically Implicated Cell Types," or SEISMIC. It allows researchers to zero in on specific neurons linked to Alzheimer's, the first of its kind. Qiliang Lai, a Rice doctoral student and the lead author of a paper on the discovery published in Nature Communications, believes that this is an important step in the fight against Alzheimer's.

“As we age, some brain cells naturally slow down, but in dementia — a memory-loss disease — specific brain cells actually die and can’t be replaced,” said Lai. “The fact that it is memory-making brain cells dying and not infection-fighting brain cells raises this confusing puzzle where DNA evidence and brain evidence don’t match up.”

Studying Alzheimer's has been hampered by the limitations of computational analysis. Genome-wide association studies (GWAS) and single-cell RNA sequencing (scRNA-seq) map small differences in the DNA of Alzheimer's patients. The genetic signal in these studies would often over-emphasize the presence of infection fighting cells, essentially making the activity of those cells too "loud" statistically to identify other factors. Combined with greater specificity in brain regional activity, SEISMIC reduces the data chatter to grant a clearer picture of the genetic component of Alzheimer's.

“We built our SEISMIC algorithm to analyze genetic information and match it precisely to specific types of brain cells,” Lai said. “This enables us to create a more detailed picture of which cell types are affected by which genetic programs.”

Though the algorithm is not in and of itself likely to lead to a cure or treatment for Alzheimer's any time soon, the researchers say that SEISMIC is already performing significantly better than existing tools at identifying important disease-relevant cellular signals more clearly.

“We think this work could help reconcile some contradicting patterns in the data pertaining to Alzheimer’s research,” said Vicky Yao, assistant professor of computer science and a member of the Ken Kennedy Institute at Rice. “Beyond that, the method will likely be broadly valuable to help us better understand which cell types are relevant in different complex diseases.”

---

This article originally appeared on CultureMap.com.

5 incubators and accelerators fueling the growth of Houston startups

meet the finalists

Houston is home to numerous accelerators and incubators that support founders in pushing their innovative startups and technologies forward.

As part of our 2025 Houston Innovation Awards, the new Incubator/Accelerator of the Year category honors a local incubator or accelerator that is championing and fueling the growth of Houston startups.

Five incubators and accelerators have been named finalists for the 2025 award. They support startups ranging from hard-tech companies to digital health startups.

Read more about these organizations below. Then join us at the Houston Innovation Awards on Nov. 13 at Greentown Labs, when the winner will be unveiled.

Get your tickets now on sale for this exclusive event celebrating Houston Innovation.

Activate

Hard tech incubator Activate supports scientists in "the outset of their entrepreneurial journey." The Houston hub was introduced last year, and joins others in Boston, New York, and Berkley, California—where Activate is headquartered. It named its second Houston cohort this summer.

This year, the incubator grew to include its largest number of concurrent supported fellows, with 88 companies currently being supported nationally. In total, Activate has supported 296 fellows who have created 236 companies. Those companies have raised over $4 billion in follow-on funding, according to Activate. In Houston, it has supported several Innovation Awards finalists, including Solidec, Bairitone Health and Deep Anchor Solutions. It is led locally by Houston Managing Director Jeremy Pitts.

EnergyTech Nexus

Cleantech startup hub EnergyTech Nexus' mission is to accelerate the energy transition by connecting founders, investors and industrial stakeholders and helping to develop transformative companies, known as "thunderlizards."

The hub was founded in 2023 by CEO Jason Ethier, Juliana Garaizar and Nada Ahmed. It has supported startups including Capwell Services, Resollant, Syzygy Plasmonics, Hertha Metals, EarthEn Energy and Solidec—many of which are current or past Innovation Awards finalists. This year Energy Tech Nexus launched its COPILOT Accelerator, powered by Wells Fargo Innovation Incubator (IN²) at the National Renewable Energy Laboratory (NREL). COPILOT partners with Browning the Green Space, a nonprofit that promotes diversity, equity and inclusion (DEI) in the clean energy and climatech sectors. Energy Tech Nexus also launched its Liftoff fundraising program, its Investor Program, and a "strategic ecosystem partnership" with Greentown Labs.

Greentown Labs

Climatetech incubator Greentown Labs offers its community resources and a network to climate and energy innovation startups looking to grow. The collaborative community offers members state-of-the-art prototyping labs, business resources and access to investors and corporate partners. The co-located incubator was first launched in Boston in 2011 before opening in Houston in 2021.

Greentown has seen major changes and activity this year. In February, Greentown announced Georgina Campbell Flatter as its new CEO, along with a new Board of Directors. In July, it announced Lawson Gow as its Head of Houston, a "dedicated role to champion the success of Greentown Houston’s startups and lead Greentown’s next chapter of impact in the region," according to Greentown. It has since announced numerous new partnerships, including those with Energy Tech Nexus, Los Angeles-based software development firm Nominal, to launch the new Industrial Center of Excellence; and Houston-based Shoreless, to launch an AI lab onsite. Greentown Houston has supported 175 startups since its launch in 2021, with 45 joining in the last two years. Those startups include the likes of Hertha Metals, RepAir Carbon, Solidec, Eclipse Energy (formerly GoldH2) and many others.

Healthtech Accelerator (TMCi)

The Healthtech Accelerator, formerly TMCx, focuses on clinical partnerships to improve healthcare delivery and outcomes. Emerging digital health and medical device startups that join the accelerator are connected with a network of TMC hospitals and seasoned advisors that will prepare them for clinical validation, funding and deployment.

The Healthtech Accelerator is part of Texas Medical Center Innovation, which also offers the TMCi Accelerator for Cancer Therapeutics. The Healthtech Accelerator named its 19th, and latest, cohort of 11 companies last month.

Impact Hub Houston

Impact Hub Houston supports early-stage ventures at various stages of development through innovative programs that address pressing societal issues. The nonprofit organization supports social impact startups through mentorship, connections and training opportunities.

There are more than 110 Impact Hubs globally with 24,000-plus members spanning 69 countries, making it one of the world’s largest communities for accelerating entrepreneurial solutions toward the United Nations' Sustainable Development Goals (SDGs).

---

The Houston Innovation Awards program is sponsored by Houston City College Northwest, Houston Powder Coaters, FLIGHT by Yuengling, and more to be announced soon. For sponsorship opportunities, please contact sales@innovationmap.com.