Fireflies in Boulder, Colo., during the summer of 2023. Radim Schreiber/Firefly Experience, CC BYOrit Peleg, University of Colorado Boulder and Owen Martin, University of Colorado Boulder The Colorado June air was thick with summer heat. Mosquitoes rose in clouds around us, testing our resolve while we gathered our cameras and sensors. We walked into the wetland, down the unmarked path until the cattails rose shoulder-high. The sounds of frogs and crickets filled the air as we set up our cameras and waited. Then we spotted them: tiny lights lifting from the grasses, blinking in slow rhythms. Bioluminescent lampyrid beetles, commonly known as fireflies or lightning bugs, are widespread throughout the Eastern United States but far more scarce west of Kansas. Even though many are stargazers and hikers, most Colorado residents don’t know that fireflies share their state. We are an associate professor of computer science and a Ph.D. candidate who are working to shed light on Colorado’s hidden fireflies. In the past few years, we have observed and filmed elusive bioluminescent fireflies all over Colorado, racing each summer against their brief and unpredictable flashing season.The authors − Orit, left, and Owen − in the field, taking notes and observing specimens.Nolan R. Bonnie and Mac Stone Last year in early June it was too early, we thought, for fireflies in Colorado. For weeks we had been checking weather forecasts, comparing them to previous years, waiting for warmer nights and rising temperatures − the signs that would tell us it’s firefly time. Then we got a tip. A friend mentioned seeing one or two flashes near their property. The next morning we packed our gear, rearranged our schedules and contacted our volunteer network. The field season began in a literal flash. As adults, fireflies live and flash for only about two weeks a year − and even then, just for a few hours each night. It’s easy to blink and miss the entire season. The next generation overwinters underground as larvae, emerging as adults the following year, though development may take up to two years in arid climates. Making the most of that narrow window is one of the many reasons we rely on volunteers who help us spot the first flashes and record observations across Colorado.
Western fireflies face unique environmental challenges
Our work joins a growing chorus of scientific observation focused on western fireflies, which pop up across the arid landscape near temporary wetlands, marshes, drainages, desert rivers and other water sources. Because of the dry landscape, these populations tend to be fragmented, isolated to where the water is and nowhere in between. This strong tie to small, unstable habitat spells vulnerability for the fireflies. If the water runs out, or their habitats are damaged by water or light pollution, the flashing populations could vanish. Pesticides in water are toxic to firefly larvae and their prey, and artificial light inhibits the flash courtship between males and females, preventing successful reproduction. Many populations and species of fireflies are threatened with extinction in the United States due to these factors. Organizations such as our lab at the University of Colorado and the Xerces Society for Inverteberate Conservation are studying the distribution of and direct threats to western firefly populations. Many of the species are either endangered or not yet described. The fireflies of the Photuris genus along the Front Range, for example, still do not have a species name and appear to be genetically distinct from other Photuris around the country. Preliminary genetic results suggest at least one new species might be found here. The genetic data also suggests at least five different bioluminescent species of fireflies are present in Colorado.
How flash patterns help fireflies (and us) tell species apart
During their short mating season, fireflies use their flash patterns as mating calls. Males produce a series of flash-on, flash-off events, each with specific durations and pauses. These Morse code-like signals communicate what type and how fit the fireflies are to potential mates in the darkness. When females detect a suitable male, they respond with their own unique flash pattern. Our work piggybacks on this evolutionary adaptation. We first recorded populations from around the U.S. using two video cameras, which allowed us to accurately track individual fireflies in three dimensions and separate their flash patterns. We used the data on the flash behavior from different species to train a neural network that can classify the firefly’s flash pattern with a high degree of accuracy. Our algorithm learns the unique flash patterns from our data and can identify the species of firefly that is present in a video. This is a powerful tool for firefly conservation efforts. The camera footage can cover more time and ground than field surveys conducted by humans, and our algorithm can more quickly identify species that might be threatened.
Fostering community engagement with citizen science
Based on our success with community science data collection across other states, including Tennessee, South Carolina and Massachusetts, we wanted to apply the same principles to Colorado’s firefly populations. This is a big undertaking: There are dozens of fragmented sites where fireflies are active across Colorado, and more are reported by volunteers every season. Our team of two cannot visit and survey every site during the short firefly season. In 2023 we put out our first call for volunteers in Colorado. Since that time, 18 community members in Boulder, Fort Collins, Divide and Loveland joined the filming effort. We provide cameras for the volunteers, who bring them to their nearby wetlands and set them up in the fading light. Last summer we partnered with local land management agencies in Boulder, Fort Collins and Loveland to host informative community events, where we spoke about firefly biology and conservation to audiences of all ages. On many of those nights, as the flashes began, we heard the excitement build: quiet gasps, hushed enthusiasm and a whisper such as, “Look at that beautiful streak of light!” Fireflies have an important story to tell, and here in Colorado that story is just beginning. Their brief flashes each summer help us learn about communication, ecology and how these delicate insects respond to an ever-changing world. If you’d like to help us find and study fireflies in Colorado, you can sign up to join our community science project.Orit Peleg, Associate Professor of Computer Science, University of Colorado Boulder and Owen Martin, Ph.D. Candidate in Computer Science, University of Colorado Boulder This article is republished from The Conversation under a Creative Commons license. Read the original article.
The science section of our news blog STM Daily News provides readers with captivating and up-to-date information on the latest scientific discoveries, breakthroughs, and innovations across various fields. We offer engaging and accessible content, ensuring that readers with different levels of scientific knowledge can stay informed. Whether it’s exploring advancements in medicine, astronomy, technology, or environmental sciences, our science section strives to shed light on the intriguing world of scientific exploration and its profound impact on our daily lives. From thought-provoking articles to informative interviews with experts in the field, STM Daily News Science offers a harmonious blend of factual reporting, analysis, and exploration, making it a go-to source for science enthusiasts and curious minds alike. https://stmdailynews.com/category/science/
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.
Orit Peleg, Associate Professor of Computer Science, University of Colorado Boulder and Owen Martin, Ph.D. Candidate in Computer Science, University of Colorado Boulder This article is republished from The Conversation under a Creative Commons license. Read the original article.
