Space tourism’s growth blurs the line between scientific and symbolic achievement – a tourism scholar explains how
Blue Origin’s NS-31 flight lifted off on April 14, 2025. Justin Hamel/Getty ImagesBetsy Pudliner, University of Wisconsin-Stout On April 14, 2025, Blue Origin launched six women – Aisha Bowe, Amanda Nguyễn, Gayle King, Katy Perry, Kerianne Flynn and Lauren Sánchez – on a suborbital journey to the edge of space. The headlines called it a historic moment for women in space. But as a tourism educator, I paused – not because I questioned their experience, but because I questioned the language. Were they astronauts or space tourists? The distinction matters – not just for accuracy, but for understanding how experience, symbolism and motivation shape travel today. In tourism studies, my colleagues and I often ask what motivates travel and makes it a meaningful experience. These women crossed a boundary by leaving Earth’s surface. But they also stepped into a controversy about a symbolic one: the blurred line between astronaut and tourist, between scientific achievement and curated experience. This flight wasn’t just about the altitude they flew to – it was about what it meant. As commercial space travel becomes more accessible to civilians, more people are joining spaceflights not as scientists or mission specialists, but as invited guests or paying participants. The line between astronaut and space tourist is becoming increasingly blurred.Blue Origin’s NS-31 flight brought six women to the edge of space. In my own work, I explore how travelers find meaning in the way their journeys are framed. A tourism studies perspective can help unpack how experiences like the Blue Origin flight are designed, marketed and ultimately understood by travelers and the tourism industry. So, were these passengers astronauts? Not in the traditional sense. They weren’t selected through NASA’s rigorous training protocols, nor were they conducting research or exploration in orbit. Instead, they belong to a new category: space tourists. These are participants in a crafted, symbolic journey that reflects how commercial spaceflight is redefining what it means to go to space.
Space tourism as a niche market
Space tourism has its origins in 1986 with the launch of the Mir space station, which later became the first orbital platform to host nonprofessional astronauts. In the 1990s and early 2000s, Mir and its successor, the International Space Station, welcomed a handful of privately funded civilian guests – most notably U.S. businessman Dennis Tito in 2001, often cited as the first space tourist. Space tourism has since evolved into a niche market selling brief encounters to the edge of Earth’s atmosphere. While passengers on the NS-31 flight did not purchase their seats, the experience mirrors those sold by commercial space tourism providers such as Virgin Galactic. Like other forms of niche tourism – wellness retreats, heritage trails or extreme adventures – space travel appeals to those drawn to novelty, exclusivity and status, regardless of whether they purchased the ticket. These suborbital flights may last just minutes, but they offer something far more lasting: prestige, personal storytelling and the feeling of participating in something rare. Space tourism sells the experience of being somewhere few have visited, not the destination itself. For many, even a 10-minute flight can fulfill a deeply personal milestone.
Tourist motivation and space tourism’s evolution
The push-and-pull theory in tourism studies helps explain why people might want to pursue space travel. Push factors – internal desires such as curiosity, an urge to escape or an eagerness to gain fame – spark interest. Pull factors – external elements such as wishing to see the view of Earth from above or experience the sensation of weightlessness – enhance the appeal. Space tourism taps into both. It’s fueled by the internal drive to do something extraordinary and the external attraction of a highly choreographed, emotional experience.Participants in space tourism wear branded jumpsuits with the company’s logo, pose for photos and talk to the media about their experience.AP Photo/Tony Gutierrez These flights are often branded – not necessarily with flashy logos, but through storytelling and design choices that make the experience feel iconic. For example, while the New Shepard rocket the women traveled in doesn’t carry a separate emblem, it features the company’s name, Blue Origin, in bold letters along the side. Passengers wear personalized flight suits, pose for preflight photos and receive mission patches or certificates, all designed to echo the rituals of professional space missions. What’s being sold is an “astronaut-for-a-day” experience: emotionally powerful, visually compelling and rich with symbolism. But under tourism classifications, these travelers are space tourists – participants in a curated, short-duration excursion.
Representation and marketing experience
The image from the Blue Origin flight of six women boarding a rocket was framed as a symbolic victory – a girl-power moment designed for visibility and celebration – but it was also carefully curated. This wasn’t the first time women entered space. Since its inception, NASA has selected 61 women as astronaut candidates, many of them making groundbreaking contributions to space science and exploration. Sally Ride, Mae Jemison, Christina Koch and Jessica Meir not only entered space – they trained as astronauts and contributed significantly to science, engineering and long-duration missions. Their journeys marked historic achievements in space exploration rather than curated moments in tourism. Recognizing their legacy is important as commercial spaceflight creates new kinds of unique, tailored experiences, ones shaped more by media performance than by scientific milestones. The Blue Origin flight was not a scientific mission but rather was framed as a symbolic event. In tourism, companies, marketers and media outlets often create these performances to maximize their visibility. SpaceX has taken a similar approach with its Inspiration4 mission, turning a private orbital flight into a global media event complete with a Netflix documentary and emotional storytelling. The Blue Origin flight sold a feeling of progress while blending the roles between astronaut and guest. For Blue Origin, the symbolic value was significant. By launching the first all-female crew into suborbital space, the company was able to claim a historic milestone – one that aligned them with inclusion – without the cost, complexity or risk associated with a scientific mission. In doing so, they generated enormous media attention.
Tourism education and media literacy
In today’s world, space travel is all about the story that gets told about the flight. From curated visuals to social media posts and press coverage, much of the experience’s meaning is shaped by marketing and media. Understanding that process matters – not just for scholars or industry insiders, but for members of the public, who follow these trips through the narratives produced by the companies’ marketing teams and media outlets. Another theory in tourism studies describes how destinations evolve over time – from exploration, to development, to mass adoption. Many forms of tourism begin in an exploration phase, accessible only to the wealthy or well connected. For example, the Grand Tour of Europe was once a rite of passage for aristocrats. Its legacy helped shape and develop modern travel.As more people travel to a destination over time, it moves through the tourism area life cycle. During the early exploration phase, the destination has only a few tourists.Coba56/Wikimedia Commons Right now, space tourism is in the exploration stage. It’s expensive, exclusive and available only to a few. There’s limited infrastructure to support it, and companies are still experimenting with what the experience should look like. This isn’t mass tourism yet, it’s more like a high-profile playground for early adopters, drawing media attention and curiosity with every launch. Advances in technology, economic shifts and changing cultural norms can increase access to unique destinations that start as out of bounds to a majority of tourists. Space tourism could be the next to evolve this way in the tourism industry. How it’s framed now – who gets to go, how the participants are labeled and how their stories are told – will set the tone moving forward. Understanding these trips helps people see how society packages and sells an inspirational experience long before most people can afford to join the journey. Betsy Pudliner, Associate Professor of Hospitality and Technology Innovation, University of Wisconsin-Stout This article is republished from The Conversation under a Creative Commons license. Read the original article.
Valerie Thomas is a true pioneer in the world of science and technology. A NASA engineer and physicist, she is best known for inventing the illusion transmitter, a groundbreaking device that creates 3D images using concave mirrors. This invention laid the foundation for modern 3D imaging and virtual reality technologies.
Beyond her inventions, Thomas broke barriers as an African American woman in STEM, mentoring countless young scientists and advocating for diversity in science and engineering. Her work at NASA’s Goddard Space Flight Center helped advance satellite technology and data visualization, making her contributions both innovative and enduring.
In our latest short video, we highlight Valerie Thomas’ remarkable journey—from her early passion for science to her groundbreaking work at NASA. Watch and be inspired by a true STEM pioneer whose legacy continues to shape the future of space and technology.
Dive into “The Knowledge,” where curiosity meets clarity. This playlist, in collaboration with STMDailyNews.com, is designed for viewers who value historical accuracy and insightful learning. Our short videos, ranging from 30 seconds to a minute and a half, make complex subjects easy to grasp in no time. Covering everything from historical events to contemporary processes and entertainment, “The Knowledge” bridges the past with the present. In a world where information is abundant yet often misused, our series aims to guide you through the noise, preserving vital knowledge and truths that shape our lives today. Perfect for curious minds eager to discover the ‘why’ and ‘how’ of everything around us. Subscribe and join in as we explore the facts that matter. https://stmdailynews.com/the-knowledge/
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Forgotten Genius Fridays is a weekly collection of short videos and articles dedicated to inventors, innovators, scientists, and creators whose impact changed the world—but whose names were often left out of the textbooks.
From life-saving inventions and cultural breakthroughs to game-changing ideas buried by bias, our series digs up the truth behind the minds that mattered.
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Beneath the Waves: The Global Push to Build Undersea Railways
Undersea railways are transforming transportation, turning oceans from barriers into gateways. Proven by tunnels like the Channel and Seikan, these innovations offer cleaner, reliable connections for passengers and freight. Ongoing projects in China and Europe, alongside future proposals, signal a new era of global mobility beneath the waves.
Trains beneath the ocean are no longer science fiction—they’re already in operation.
For most of modern history, oceans have acted as natural barriers—dividing nations, slowing trade, and shaping how cities grow. But beneath the waves, a quiet transportation revolution is underway. Infrastructure once limited by geography is now being reimagined through undersea railways.
Undersea rail tunnels—like the Channel Tunnel and Japan’s Seikan Tunnel—proved decades ago that trains could reliably travel beneath the ocean floor. Today, new projects are expanding that vision even further.
Around the world, engineers and governments are investing in undersea railways—tunnels that allow high-speed trains to travel beneath oceans and seas. Once considered science fiction, these projects are now operational, under construction, or actively being planned.
Undersea Rail Is Already a Reality
Japan’s Seikan Tunnel and the Channel Tunnel between the United Kingdom and France proved decades ago that undersea railways are not only possible, but reliable. These tunnels carry passengers and freight beneath the sea every day, reshaping regional connectivity.
Undersea railways are cleaner than short-haul flights, more resilient than bridges, and capable of lasting more than a century. As climate pressures and congestion increase, rail beneath the sea is emerging as a practical solution for future mobility.
What’s Being Built Right Now
China is currently constructing the Jintang Undersea Railway Tunnel as part of the Ningbo–Zhoushan high-speed rail line, while Europe’s Fehmarnbelt Fixed Link will soon connect Denmark and Germany beneath the Baltic Sea. These projects highlight how transportation and technology are converging to solve modern mobility challenges.
Special Education Is Turning to AI to Fill Staffing Gaps—But Privacy and Bias Risks Remain
With special education staffing shortages worsening, schools are using AI to draft IEPs, support training, and assist assessments. Experts warn the benefits come with major risks—privacy, bias, and trust.
In special education in the U.S., funding is scarce and personnel shortages are pervasive, leaving many school districts struggling to hire qualified and willing practitioners.
Amid these long-standing challenges, there is rising interest in using artificial intelligence tools to help close some of the gaps that districts currently face and lower labor costs.
Over 7 million children receive federally funded entitlements under the Individuals with Disabilities Education Act, which guarantees students access to instruction tailored to their unique physical and psychological needs, as well as legal processes that allow families to negotiate support. Special education involves a range of professionals, including rehabilitation specialists, speech-language pathologists and classroom teaching assistants. But these specialists are in short supply, despite the proven need for their services.
As an associate professor in special education who works with AI, I see its potential and its pitfalls. While AI systems may be able to reduce administrative burdens, deliver expert guidance and help overwhelmed professionals manage their caseloads, they can also present ethical challenges – ranging from machine bias to broader issues of trust in automated systems. They also risk amplifying existing problems with how special ed services are delivered.
Yet some in the field are opting to test out AI tools, rather than waiting for a perfect solution.
A faster IEP, but how individualized?
AI is already shaping special education planning, personnel preparation and assessment.
One example is the individualized education program, or IEP, the primary instrument for guiding which services a child receives. An IEP draws on a range of assessments and other data to describe a child’s strengths, determine their needs and set measurable goals. Every part of this process depends on trained professionals.
But persistent workforce shortages mean districts often struggle to complete assessments, update plans and integrate input from parents. Most districts develop IEPs using software that requires practitioners to choose from a generalized set of rote responses or options, leading to a level of standardization that can fail to meet a child’s true individual needs.
Preliminary research has shown that large language models such as ChatGPT can be adept at generating key special education documents such as IEPs by drawing on multiple data sources, including information from students and families. Chatbots that can quickly craft IEPs could potentially help special education practitioners better meet the needs of individual children and their families. Some professional organizations in special education have even encouraged educators to use AI for documents such as lesson plans.
Training and diagnosing disabilities
There is also potential for AI systems to help support professional training and development. My own work on personnel development combines several AI applications with virtual reality to enable practitioners to rehearse instructional routines before working directly with children. Here, AI can function as a practical extension of existing training models, offering repeated practice and structured support in ways that are difficult to sustain with limited personnel.
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Some districts have begun using AI for assessments, which can involve a range of academic, cognitive and medical evaluations. AI applications that pair automatic speech recognition and language processing are now being employed in computer-mediated oral reading assessments to score tests of student reading ability.
Practitioners often struggle to make sense of the volume of data that schools collect. AI-driven machine learning tools also can help here, by identifying patterns that may not be immediately visible to educators for evaluation or instructional decision-making. Such support may be especially useful in diagnosing disabilities such as autism or learning disabilities, where masking, variable presentation and incomplete histories can make interpretation difficult. My ongoing research shows that current AI can make predictions based on data likely to be available in some districts.
Privacy and trust concerns
There are serious ethical – and practical – questions about these AI-supported interventions, ranging from risks to students’ privacy to machine bias and deeper issues tied to family trust. Some hinge on the question of whether or not AI systems can deliver services that truly comply with existing law.
What happens if an AI system uses biased data or methods to generate a recommendation for a child? What if a child’s data is misused or leaked by an AI system? Using AI systems to perform some of the functions described above puts families in a position where they are expected to put their faith not only in their school district and its special education personnel, but also in commercial AI systems, the inner workings of which are largely inscrutable.
These ethical qualms are hardly unique to special ed; many have been raised in other fields and addressed by early-adopters. For example, while automatic speech recognition, or ASR, systems have struggled to accurately assess accented English, many vendors now train their systems to accommodate specific ethnic and regional accents.
But ongoing research work suggests that some ASR systems are limited in their capacity to accommodate speech differences associated with disabilities, account for classroom noise, and distinguish between different voices. While these issues may be addressed through technical improvement in the future, they are consequential at present.
Embedded bias
At first glance, machine learning models might appear to improve on traditional clinical decision-making. Yet AI models must be trained on existing data, meaning their decisions may continue to reflect long-standing biases in how disabilities have been identified.
Indeed, research has shown that AI systems are routinely hobbled by biases within both training data and system design. AI models can also introduce new biases, either by missing subtle information revealed during in-person evaluations or by overrepresenting characteristics of groups included in the training data.
Such concerns, defenders might argue, are addressed by safeguards already embedded in federal law. Families have considerable latitude in what they agree to, and can opt for alternatives, provided they are aware they can direct the IEP process.
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By a similar token, using AI tools to build IEPs or lessons may seem like an obvious improvement over underdeveloped or perfunctory plans. Yet true individualization would require feeding protected data into large language models, which could violate privacy regulations. And while AI applications can readily produce better-looking IEPs and other paperwork, this does not necessarily result in improved services.
Filling the gap
Indeed, it is not yet clear whether AI provides a standard of care equivalent to the high-quality, conventional treatment to which children with disabilities are entitled under federal law.
The Supreme Court in 2017 rejected the notion that the Individuals with Disabilities Education Act merely entitles students to trivial, “de minimis” progress, which weakens one of the primary rationales for pursuing AI – that it can meet a minimum standard of care and practice. And since AI really has not been empirically evaluated at scale, it has not been proved that it adequately meets the low bar of simply improving beyond the flawed status quo.
But this does not change the reality of limited resources. For better or worse, AI is already being used to fill the gap between what the law requires and what the system actually provides.
