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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Orion vehicle manager reflects on Artemis II, looks to 2028 moon mission

Q&A

Humanity is finally headed back to the moon after more than half a century. This year's launch of the Artemis II mission in the Orion spacecraft put four crew members in lunar orbit and tested the new ship developed by Lockheed Martin.

Everything went smoothly, safely returning astronauts home, but there is always room to improve. InnovationMap chatted via email with Orion vehicle manager Branelle Rodriguez, shortly after a talk at The Ion, for insight on how Orion might perform in the future as the next lunar landing approaches in early 2028.

InnovationMap: How satisfied are you with the way Orion operated on this past mission?

Branelle Rodriguez: Orion performed exceptionally well during Artemis II, successfully demonstrating critical spacecraft capabilities, including life support systems, displays and controls, and executing manual piloting operations. Artemis II brought humans back to the moon, achieving key exploration and scientific imagery, while validating systems essential for future Artemis missions.

IM: What is the most important thing you learned about improving Orion for the next mission?

BR: The Artemis II mission provided invaluable insights into crew operations and spacecraft performance in a deep-space environment. With every mission, NASA applies lessons learned to continuously improve Orion’s operations, validate design and ensure mission readiness. Artemis II offered our first opportunity to evaluate several new systems and gain a deeper understanding of what it is like for astronauts to live and work inside the spacecraft. The operational, technical and human factors data collected are being integrated across the program to refine future missions, reduce risk and enhance overall mission success.

IM: How has Orion helped the mission to explore space?

BR: Orion is one of NASA’s foundational elements for human deep space exploration—not only supporting the mission but serving as a core component of it. It is currently the only spacecraft capable of carrying crew on deep space missions and returning them safely to Earth from the high speeds required from the vicinity of the moon. No other spacecraft has the technology to endure the extremes that come with human deep-space travel, such as advanced environmental and life support, navigation, communications, radiation shielding, and the world’s largest ablative heat shield to protect the astronauts during reentry into Earth’s atmosphere. Orion has already taken astronauts to explore space farther than ever before—252,756 miles from Earth— and will carry crews to the moon on future missions to explore the lunar South Pole region. The astronauts’ observations, samples, and data collected on these future missions will expand our understanding of our solar system and home planet.

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This conversation has been edited for brevity and clarity.

Houston VC funding nears $1B in first half of 2026, report says

by the numbers

Despite a weak second quarter, venture capital funding for Houston-area startups approached $1 billion in the first half of 2026, the region’s highest first-half total since 2022, according to the latest PitchBook-NVCA Venture Monitor.

This year’s first-half total of $962.4 million represented a nearly 8 percent increase over last year’s first-half total of $891.7 million. Dating back to 2016, this year’s first-half haul lags behind only 2021 and 2022 for the most first-half funding.

Houston’s year-over-year VC jump of 73 percent in the first quarter of 2026 more than made up for the year-over-year drop of 34 percent in the second quarter of 2026, according to the report.

Deal count tells a more encouraging story: Houston startups closed 102 deals in the first half, up from 93 a year earlier and the region’s busiest first half since 2022. However, the average deal size shrank, as no single funding source dominated the total.

Keep in mind that PitchBook and NVCA routinely revise quarterly numbers upward to reflect deals that were reported after a previous quarter’s data was published. So, in the case of Houston, numbers initially reported for the first quarter of 2026 may not match newly reported numbers.

Perhaps the most notable Houston-area deal announced in the first half of this year was Cart.com’s $180 million growth equity investment, led by Springcoast Partners. Cart.com is an e-commerce platform and logistics provider.

PitchBook-NVCA data shows Houston’s VC activity is growing modestly, delivering better numbers in the first half of 2026 versus 2024 and 2025, but it still sits below the highs of 2021 and 2022. This is one sign that so far in 2026, the national VC boom isn’t benefiting non-hub markets like Houston the way it’s boosting some hub markets, especially Silicon Valley and New York City.

Nationwide, AI dominated VC funding in the first half of this year. The sector made up 86 percent of VC from January through June. The report notes that the markets have still struggled to unlock IPOs, with SpaceX being the biggest exception, and few M&A deals outside health care have been significant.

14 climatech startups join Greentown Houston in first half of 2026

green team

Climatech incubator Greentown Labs reports that 14 startups have joined its Houston community so far this year.

The companies are among 30 new startups to have joined Greentown Houston and Greentown Boston in 2026. Four of the companies are headquartered in Houston.

The startups are working on a range of "hydrogen-powered heavy-duty transport to AI-driven grid interconnection," according to Greentown.

The local startups that joined Greentown Houston include:

  • Houston-based Focis AI, which transforms industrial laser scans into structured asset intelligence to automatically identify, classify and map components in refineries and plants
  • Houston-based Iron Lattice, which develops next-generation memory technology for AI and high-performance computing that improves energy efficiency, endurance and scalability while remaining compatible with existing semiconductor manufacturing
  • Houston-based Orbital Arc, which is developing a new ion engine designed to improve the efficiency and scalability of spacecraft propulsion from low Earth orbit to deep space
  • Houston-based Sustain Energy LLC, which delivers cleaner, lower-cost fuel to industrial customers in pipeline-absent, underserved markets, cutting their energy costs and emissions with no infrastructure investment on their end

Other startups from around the world joined the Houston incubator in the same time period, including:

  • Ankara-based AIS Field, which develops robotic, AI-assisted non-destructive inspection systems, including submersible tank and boiler crawlers
  • San Francisco-based Armada AI, which builds rapidly deployable modular and edge data centers that run on local, stranded, or renewable power
  • San Francisco-based Armeta, which turns complex engineering drawings and legacy documentation into structured, usable data
  • Pittsburgh-based Atlas Robotics, which develops a Physical AI platform that powers autonomous material-handling robots and AI-guided forklifts
  • Ghana-based Cocoa Potash, which transforms high-emissions agricultural waste from cocoa, coconut, and palm-nut into organic potash, fertilizer and renewable energy
  • Israel-based Criaterra, which produces low-carbon, cement-free building materials
  • Italy-based ETAK, which manufactures modular reactors that convert solid waste into clean syngas
  • Kenya-based FelixFusion, which uses its Felix platform to model every grid connection point, including capacity, upgrade costs, and constraints
  • San Diego-based Gemini Energy, which builds next-generation fuel cells for data-center power
  • Tokyo-based Hibot, which develops robotic systems for inspecting and maintaining infrastructure in hazardous, hard-to-access environments
  • Austin-based Sheetak, which designs and manufactures thermoelectric coolers, generators, and assemblies for solid-state cooling and energy harvesting
  • The Netherlands-based ToPerform, which makes AI-powered, non-intrusive fouling sensors that monitor pipelines around the clock and predict the optimal cleaning time

Another 16 startups joined Greentown's Boston incubator. See the full list of new members here.

More than 100 startups joined Greentown last year, according to an end-of-year reflection shared by Greentown CEO Georgina Campbell Flatter. Read more about them here.

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