Camille Flammarion’s work imagined what might exist beyond Earth in the universe. Three Lions/Hulton Archive via Getty ImagesMatthew Shindell, Smithsonian Institution Living in today’s age of ambitious robotic exploration of Mars, with an eventual human mission to the red planet likely to happen one day, it is hard to imagine a time when Mars was a mysterious and unreachable world. And yet, before the invention of the rocket, astronomers who wanted to explore Mars beyond what they could see through their telescopes had to use their imaginations. As a space historian and author of the book “For the Love of Mars: A Human History of the Red Planet,” I’ve worked to understand how people in different times and places imagined Mars. The second half of the 19th century was a particularly interesting time to imagine Mars. This was a period during which the red planet seemed to be ready to give up some of its mystery. Astronomers were learning more about Mars, but they still didn’t have enough information to know whether it hosted life, and if so, what kind. With more powerful telescopes and new printing technologies, astronomers began applying the cartographic tools of geographers to create the first detailed maps of the planet’s surface, filling it in with continents and seas, and in some cases features that could have been produced by life. Because it was still difficult to see the actual surface features of Mars, these maps varied considerably. During this period, one prominent scientist and popularizer brought together science and imagination to explore the possibilities that life on another world could hold.
Camille Flammarion
The 19th-century astronomer and writer Camille Flammarion.Av Ukjent/The New York Public Library Digital Collections One imaginative thinker whose attention was drawn to Mars during this period was the Parisian astronomer Camille Flammarion. In 1892, Flammarion published “The Planet Mars,” which remains to this day a definitive history of Mars observation up through the 19th century. It summarized all the published literature about Mars since the time of Galileo in the 17th century. This work, he reported, required him to review 572 drawings of Mars. Like many of his contemporaries, Flammarion concluded that Mars, an older world that had gone through the same evolutionary stages as Earth, must be a living world. Unlike his contemporaries, he insisted that Mars, while it might be the most Earth-like planet in our solar system, was distinctly its own world. It was the differences that made Mars interesting to Flammarion, not the similarities. Any life found there would be evolutionarily adapted to its particular conditions – an idea that appealed to the author H.G. Wells when he imagined invading Martians in “The War of the Worlds.”An illustrated plate from ‘Astronomie Populaire – Description Generale du Ciel’ by Camille Flammarion. This map of Mars shows continents and oceans. In this, his best-selling epic work, Flammarion speculated that Mars was ‘an earth almost similar to ours [with] water, air, showers, brooks and fountains. This is certainly a place little different from that which we inhabit.’Science & Society Picture Library via Getty Images But Flammarion also admitted that it was difficult to pin down these differences, as “the distance is too great, our atmosphere is too dense, and our instruments are not perfect enough.” None of the maps he reviewed could be taken literally, he lamented, because everyone had seen and drawn Mars differently. Given this uncertainty about what had actually been seen on Mars’ surface, Flammarion took an agnostic stance in “The Planet Mars” as to the specific nature of life on Mars. He did, however, consider that if intelligent life did exist on Mars, it would be more ancient than human life on Earth. Logically, that life would be more perfect — akin to the peaceful, unified and technologically advanced civilization he predicted would come into being on Earth in the coming century. “We can however hope,” he wrote, “that since the world of Mars is older than our own, its inhabitants may be wiser and more advanced than we are. Undoubtedly it is the spirit of peace which has animated this neighboring world.”A plate from ‘Les Terres du Ciel’ (The Worlds of the Sky) written by Camille Flammarion. The plate is an artist’s impression of how canals on Mars might have looked.Science & Society Picture Library via Getty Images But as Flammarion informed his readers, “the Known is a tiny island in the midst of the ocean of the Unknown,” a point he often underscored in the more than 70 books he published in his lifetime. It was the “Unknown” that he found particularly tantalizing. Historians often describe Flammarion more as a popularizer than a serious scientist, but this should not diminish his accomplishments. For Flammarion, science wasn’t a method or a body of established knowledge. It was the nascent core of a new philosophy waiting to be born. He took his popular writing very seriously and hoped it could turn people’s minds toward the heavens.
Imaginative novels
Without resolving the planet’s surface or somehow communicating with its inhabitants, it was premature to speculate about what forms of life might exist on Mars. And yet, Flammarion did speculate — not so much in his scientific work, but in a series of novels he wrote over the course of his career. In these imaginative works, he was able to visit Mars and see its surface for himself. Unlike his contemporary, the science fiction author Jules Verne, who imagined a technologically facilitated journey to the Moon, Flammarion preferred a type of spiritual journey.Camille Flammarion looking through the telescope at the Observatory at Juvisy-sur-Orge.duncan1890/iStock via Getty Images Plus Based on his belief that human souls after death can travel through space in a way that the living body cannot, Flammarion’s novels include dream journeys as well as the accounts of deceased friends or fictional characters. In his novel “Urania” (1889), Flammarion’s soul visits Mars in a dream. Upon arrival, he encounters a deceased friend, George Spero, who has been reincarnated as a winged, luminous, six-limbed being. “Organisms can no more be earthly on Mars than they could be aerial at the bottom of the sea,” Flammarion writes. Later in the same novel, Spero’s soul visits Flammarion on Earth. He reveals that Martian civilization and science have progressed well beyond Earth, not only because Mars is an older world, but because the atmosphere is thinner and more suitable for astronomy. Flammarion imagined that practicing and popularizing astronomy, along with the other sciences, had helped advance Martian society. Flammarion’s imagined Martians lived intellectual lives untroubled by war, hunger and other earthly concerns. This was the life Flammarion wanted for his fellow Parisians, who had lived through the devastation of the Franco-Prussian war and suffered starvation and deprivation during the Siege of Paris and its aftermath. Today, Flammarion’s Mars is a reminder that imagining a future on Mars is as much about understanding ourselves and our societal aspirations as it is about developing the technologies to take us there. Flammarion’s popularization of science was his means of helping his fellow Earth-bound humans understand their place in the universe. They could one day join his imagined Martians, which weren’t meant to be taken any more literally than the maps of Mars he analyzed for “The Planet Mars.” His world was an example of what life could become under the right conditions. Matthew Shindell, Curator, Planetary Science and Exploration, Smithsonian Institution 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/
A Short-Form Series from The Knowledge by STM Daily News
Every Friday, STM Daily News shines a light on brilliant minds history overlooked.
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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.
Each episode of The Knowledge runs 30–90 seconds, designed for curious minds on the go—perfect for YouTube Shorts, TikTok, Reels, and quick reads.
Because remembering these stories isn’t just about the past—it’s about restoring credit where it’s long overdue.
Rod: A creative force, blending words, images, and flavors. Blogger, writer, filmmaker, and photographer. Cooking enthusiast with a sci-fi vision. Passionate about his upcoming series and dedicated to TNC Network. Partnered with Rebecca Washington for a shared journey of love and art. View all posts
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.
