Academics have learned quickly that investigations based on data from online research agencies can have problems. Here are those problems and alternatives, according to Rice University researchers. Photo via Getty Images

Academics are learning quickly that investigations based on data from online research agencies have their drawbacks. Thousands of such studies are released every year – and if the data is compromised, so too are the studies themselves.

So it’s natural for researchers, and the managers who rely on their findings, to be concerned about potential problems with the samples they’re studying. Among them: participants who aren’t in the lab and researchers who can’t see who is taking their survey, what they are doing while answering questions or even if they are who they claim to be online. In the wake of a 2018 media piece about Amazon’s Mechanical Turks Service, “Bots on Amazon’s MTurk Are Ruining Psychology Studies,” one psychology professor even mused, “I wonder if this is the end of MTurk research?” (It wasn’t).

To tackle this problem, Rice Business professor Mikki Hebl joined colleagues Carlos Moreno and Christy Nittrouer of Rice University along with several other colleagues to highlight the value of other research methods. Four alternatives – field experiments, archival data, observations and big data – represent smart alternatives to overreliance on online surveys. These methods also have the advantage of challenging academics to venture outside of their laboratories and examine real people and real data in the real world.

Field experiments have been around for decades. But their value is hard to overestimate. Unlike online studies, field experiments enhance the role of context, especially in settings that are largely uncontrolled. It’s hard to fake a field experiment in order to create positive results since each one costs a considerable time and money.

And field experiments can yield real-life results with remarkable implications for society at large. Consider one experiment among 56 middle schools in New Jersey, which found that spreading anti-conflict norms was hugely successful in reducing the need for disciplinary action. Such studies have an impact well beyond what could be achieved with a simple online survey.

The best way to get started with a good field experiment, Hebl and her colleagues wrote, is for researchers to think about natural field settings to which they have access, either personally or by leveraging their networks. Then, researchers should think about starting with the variables critical for any given setting and which they would most like to manipulate to observe the outcome. When choosing variables, it’s helpful to start by thinking about what variable might have conditions leading to the greatest degree of behavior change if introduced into the setting.

Archival data is another excellent way to work around the limitations of online surveys, the researchers argue. These data get around some of the critical drawbacks of field research, including problems around how findings apply in a more general way. Archival data, especially in the form of state or national level data sets, provide information and insight into a large, diverse set of samples that are more representative of the general population than online studies.

Archival data can also help answer questions that are either longitudinal or multilevel in nature, which can be particularly tricky or even impossible to capture with data collected by any single research team. As people spend increasing amounts of time on social media, the internet also serves as a source of newer forms of archival data that can lend unique insights into individuals’ thoughts, attitudes, and behaviors over time.

With every passing year, technology becomes increasingly robust and adept at collecting massive amounts of data on an endless variety of human behavior. For the scientists who research social and personality psychology, the term “big data” refers not only to very large sets of data but also to the tools and techniques that are used to analyze it. The three defining properties of Big Data in this context include the speed of data processing and collection, the vast amount of data being analyzed and the sheer variety of data available.

By using big data, social scientists can generate research based on various conditions, as well as collect data in natural settings. Big data also offers the opportunity to consolidate information from huge and highly diverse stores of data. This technology has many applications, including psychological assessments and improving security in airports and other transportation hubs. In future research, Hebl and her team noted, researchers will likely leverage big data and its applications to detect our unconscious emotions.

Big data, archival information and field studies can all be used in conjunction with each other to maximize the fidelity of research. But researchers shouldn’t forget even more old-fashioned techniques, including the oldest: keen observation. With observation, there are often very few, if any, manipulations and the goal is simply to systematically record the way people behave.

Researchers – and the managers who make decisions based on their findings – should consider the advantages of old-style, often underused methodologies, Hebl and her colleagues argue. Moving beyond the college laboratory and digital data survey-collection platforms and into the real world offers some unparalleled advantages to science. For the managers whose stock prices may hinge on this science, it’s worth knowing – and understanding – how your all-important data was gathered.

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This article originally ran on Rice Business Wisdom and is based on research from Mikki Hebl, the Martha and Henry Malcolm Lovett Professor of psychology at Rice University, and Carlos Moreno and Christy Nittrouer, who are graduate students at Rice University. Additional researchers include Ho Kwan Cheung, Eden B. King, and Hannah Markellis of George Mason University.

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Texas cybersecurity co. expands unique train-to-hire model to Houston

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It’s increasingly more difficult to ensure the confidentiality, integrity, and availability of proprietary data and information in the ever-changing, ever-evolving digital world.

Cyberattacks, including malware, phishing, and ransomware, are becoming increasingly common and sophisticated, posing a consistent threat to a company’s sustainability and bottom line.

To combat that trend, Nukudo, a San Antonio-based cybersecurity workforce development company, is expanding its initiative to bridge the global cybersecurity talent gap through immersive training and job placement to Houston.

“We saw that there was a need in the market because there's a shortage of skilled manpower within the cybersecurity industry and other digital domains,” says Dean Gefen, CEO of NukuDo. “So, our initial goal was to take a large pool of people and then make them to be fully operational in cybersecurity in the shortest amount of time.”

The company refers to the plan as the “training-to-employment model,” which focuses on providing structured training to select individuals who then acquire the skills and knowledge necessary to secure and maintain fruitful careers.

The company identifies potential associates through its proprietary aptitude test, which recognizes individuals who possess the innate technical acumen and potential for success in various cybersecurity roles, regardless of their level of education.

“We take in people from all walks of life, meaning the program is purely based on the associate’s potential,” Gefen says. “We have people who were previously aircraft engineers, teachers, graphic designers, lawyers, insurance agents and so forth.”

Once selected, associates are trained by cybersecurity experts while gaining hands-on experience through scenario-based learning, enabling them to be deployed immediately as fully operational cybersecurity professionals.

The program training lasts just six months—all paid—followed by three years of guaranteed employment with NukuDo.

While in training, associates are paid $ 4,000 per month; then, they’re compensated by nearly double that amount over the next three years, ultimately pushing their salaries to well into the six figures after completing the entire commitment.

In addition to fostering a diverse talent pipeline in the cybersecurity field, NukuDo is creating a comprehensive solution to address the growing shortage of technical talent in the global workforce.

And arming people with new marketable skills has a litany of benefits, both professional and personal, Gefen says.

“Sometimes, we have associates who go on to make five times their previous salary,” says Gefen. “Add to that fact that we had someone that had a very difficult life beforehand and we were able to put him on a different path. That really hits home for us that we are making a difference.

Nulkudo currently has partnerships with companies such as Accenture Singapore and Singapore Airlines. Gefen says he and his team plans to have a new class of associates begin training every month by next year and take the model to the Texas Triangle (Houston, Austin and Dallas)—then possibly nationwide.

“The great thing about our program is that we train people above the level of possible threat of replacement by artificial intelligence,” Gefen says. “But what we are also doing, and this is due to requirements that we have received from clients that are already hiring our cyber professionals, is that we are now starting to deliver AI engineers and data scientists in other domains.”

“That means that we have added more programs to our cybersecurity program. So, we're also training people in data science and machine learning,” he continues.

All interested candidates for the program should be aware that a college degree is not required. NukuDo is genuinely interested in talented individuals, regardless of their background.

“The minimum that we are asking for is high school graduates,” Gefen says. “They don't need to have a college degree; they just need to have aptitude. And, of course, they need to be hungry to make this change.”

2 Houston universities declared among world’s best in 2026 rankings

Declaring the Best

Two Houston universities are in a class of their own, earning top spots on a new global ranking of the world's best universities.

Rice University and University of Houston are among the top 1,200 schools included in the QS World University Rankings 2026. Ten more schools across Texas make the list.

QS (Quacquarelli Symonds), a London-based provider of higher education data and analytics, compiles the prestigious list each year; the 2026 edition includes more than 1,500 universities from around the world. Factors used to rank the schools include academic reputation; employer reputation; faculty-student ratio; faculty research; and international research, students, and faculty.

In Texas, University of Texas at Austin lands at No. 1 in the state, No. 20 in the U.S., and No. 68 globally.

Houston's Rice University is close behind as Texas' No. 2 school. It ranks 29th in the U.S. and No. 119 in the world. Unlike UT, which fell two spots globally this year (from No. 66 to 68), Rice climbed up the charts, moving from 141st last year to No. 119.

University of Houston impresses as Texas' 4th highest-ranked school. It lands at No. 80 in the U.S. and No. 556 globally, also climbing about 100 spots up the chart.

Rice and UH are on a roll in regional, national, and international rankings this year.

Rice earned top-15 national rankings by both Niche.com and Forbes last fall. Rice claimed No. 1 and UH ranked No. 8 in Texas in U.S. News & World Report's 2025 rankings. Rice also topped WalletHub's 2025 list of the best colleges and universities in Texas for 2025.

More recently, in April, both UH and Rice made U.S. News' 2025 list of top grad schools.

In all, 192 U.S. universities made the 2026 QS World University Rankings — the most of any country. Topping the global list is the Massachusetts Institute of Technology (MIT).

“The results show that while U.S. higher education remains the global leader, its dominance is increasingly challenged by fast-rising emerging systems,” says the QS World University Rankings report. “A decade ago, 32 American universities [were] featured in the world’s top 100; today, that number has dropped to 26, and only 11 of these institutions have improved their position this year."

The 12 Texas universities that appear in the QS World University Rankings 2026 list are:

  • University of Texas at Austin, No. 20 in the U.S. and No. 68 in the world (down from No. 66 last year).
  • Rice University, No. 29 in the U.S. and No. 119 in the world (up from No. 141 last year).
  • Texas A&M University, No. 32 in the U.S. and No. 144 in the world (up from No. 154 last year).
  • University of Houston, No. 80 in the U.S. and No. 556 in the world (up from 651-660 last year).
  • University of Texas at Dallas, No. 85 in the U.S. and No. 597 in the world (down from 596 last year).
  • Texas Tech University, No. 104 in the U.S. and No. 731-740 in the world (unchanged from last year).
  • University of North Texas, No. 123 in the U.S. and No. 901-950 in the world (up from 1,001-1,200 last year)
  • Baylor University, tied for No. 136 in the U.S. and at No. 1,001-1,200 in the world (unchanged from last year).
  • Southern Methodist University, tied for No. 136 in the U.S. and at 1,001-1,200 in the world (unchanged from last year).
  • University of Texas Arlington, tied for No. 136 in the U.S. and at 1,001-1,200 in the world (unchanged from last year).
  • University of Texas at San Antonio, tied for No. 136 in the U.S. and at 1,001-1,200 in the world (unchanged from last year).
  • University of Texas at El Paso, No. 172 in the U.S. and at 1,201-1,400 in the world (down from 1,001-1,200 last year).
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This article originally appeared on CultureMap.com.

Houston students develop new device to prepare astronauts for outer space

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Rice University students from the George R. Brown School of Engineering and Computing designed a space exercise harness that is comfortable, responsive, and adaptable and has the potential to assist with complex and demanding spacewalks.

A group of students—Emily Yao, Nikhil Ashri, Jose Noriega, Ben Bridges and graduate student Jack Kalicak—mentored by assistant professor of mechanical engineering Vanessa Sanchez, modernized harnesses that astronauts use to perform rigorous exercises. The harnesses are particularly important in preparing astronauts for a reduced-gravity space environment, where human muscles and bones atrophy faster than they do on Earth. However, traditional versions of the harnesses had many limitations that included chafing and bruising.

The new harnesses include sensors for astronauts to customize their workouts by using real-time data and feedback. An additional two sensors measure astronauts’ comfort and exercise performance based on temperature and humidity changes during exercise and load distribution at common pressure points.

“Our student-led team addressed this issue by adding pneumatic padding that offers a customized fit, distributes pressure over a large surface area to reduce discomfort or injuries and also seamlessly adapts to load shifts — all of which together improved astronauts’ performance,” Sanchez said in a news release. “It was very fulfilling to watch these young engineers work together to find innovative and tangible solutions to real-world problems … This innovative adjustable exercise harness transforms how astronauts exercise in space and will significantly improve their health and safety during spaceflights.”

The project was developed in response to a challenge posted by the HumanWorks Lab and Life Science Labs at NASA and NASA Johnson Space Center for the 2025 Technology Collaboration Center’s (TCC) Wearables Workshop and University Challenge, where teams worked to solve problems for industry leaders.

Rice’s adaptive harness won the Best Challenge Response Award. It was funded by the National Science Foundation and Rice’s Office of Undergraduate Research and Inquiry.

“This challenge gave us the freedom to innovate and explore possibilities beyond the current harness technology,” Yao added in the release. “I’m especially proud of how our team worked together to build a working prototype that not only has real-world impact but also provides a foundation that NASA and space companies can build and iterate upon.”