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By NASA
Explore This Section Science Uncategorized NASA eClips STEM Student… Overview Learning Resources Science Activation Teams SME Map Opportunities More Science Activation Stories Citizen Science 3 min read
NASA eClips STEM Student Ambassadors Light Up CNU’s 2025 STEM Community Day
More than 2,000 curious visitors from Newport News and the surrounding Hampton Roads region of Virginia flocked to Christopher Newport University (CNU) on May 31, 2025 for their annual STEM (Science, Technology, Engineering, & Mathematics) Community Day, and the NASA eClips team from the National Institute of Aerospace’s Center for Integrative STEM Education (NIA-CISE) made sure every one of them left with their eyes—and imaginations—fixed on the Sun.
At the heart of the NASA eClips exhibit were NIA’s STEM Student Ambassadors—a team of carefully selected high school students from the Tidewater region of Virginia who underwent extensive training with NASA eClips educators during the summer of 2024. These bright, enthusiastic young leaders are passionate about communicating about and advocating for STEM. The STEM Student Ambassador program is made possible through a Coastal Virginia STEM Hub grant from the Virginia General Assembly and is already having an impact.
Throughout the day, the Ambassadors engaged learners of all ages with two creative, hands-on experiences that connected STEM and the arts:
Chalk Corona – Using black construction paper and vibrant chalk, participants recreated the Sun’s corona—the super-hot, gaseous “crown” that’s visible during a total solar eclipse. While they shaded and smudged, the Ambassadors explained why the corona is so important to solar research and handed out certified solar viewers for safe Sun-watching back home. Pastel Auroras – Visitors also discovered how solar wind, storms, and coronal mass ejections (aka Sun “sneezes”) spark Earth’s dazzling auroras. Guided by the Ambassadors, budding artists layered pastels to capture swirling curtains of light, tying recent mid-Atlantic aurora sightings to real-time space weather. Throughout the day, the Ambassadors’ energy was contagious, turning complex heliophysics into hands-on fun and opening eyes to the opportunities and careers that await in STEM. Judging by the smiles—and the dusting of chalk and pastels—NASA eClips’ presence was, quite literally, the “crowning” touch on an unforgettable community celebration of STEM.
The NASA eClips project provides educators with standards-based videos, activities, and lessons to increase STEM literacy through the lens of NASA. It is supported by NASA under cooperative agreement award number NNX16AB91A and is part of NASA’s Science Activation Portfolio. Learn more about how Science Activation connects NASA science experts, real content, and experiences with community leaders to do science in ways that activate minds and promote deeper understanding of our world and beyond: https://science.nasa.gov/learn
Two STEM Student Ambassadors engage a young girl while she creates her own Pastel Aurora artwork. Share
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Last Updated Jul 22, 2025 Editor NASA Science Editorial Team Related Terms
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6 min read
Smarter Searching: NASA AI Makes Science Data Easier to Find
Image snapshot taken from NASA Worldview of NASA’s Global Precipitation Measurement (GPM) mission on March 15, 2025 showing heavy rain across the southeastern U.S. with an overlay of the GCMD Keyword Recommender for Earth Science, Atmosphere, Precipitation, Droplet Size. NASA Worldview Imagine shopping for a new pair of running shoes online. If each seller described them differently—one calling them “sneakers,” another “trainers,” and someone else “footwear for exercise”—you’d quickly feel lost in a sea of mismatched terminology. Fortunately, most online stores use standardized categories and filters, so you can click through a simple path: Women’s > Shoes > Running Shoes—and quickly find what you need.
Now, scale that problem to scientific research. Instead of sneakers, think “aerosol optical depth” or “sea surface temperature.” Instead of a handful of retailers, it is thousands of researchers, instruments, and data providers. Without a common language for describing data, finding relevant Earth science datasets would be like trying to locate a needle in a haystack, blindfolded.
That’s why NASA created the Global Change Master Directory (GCMD), a standardized vocabulary that helps scientists tag their datasets in a consistent and searchable way. But as science evolves, so does the challenge of keeping metadata organized and discoverable.
To meet that challenge, NASA’s Office of Data Science and Informatics (ODSI) at the agency’s Marshall Space Flight Center (MSFC) in Huntsville, Alabama, developed the GCMD Keyword Recommender (GKR): a smart tool designed to help data providers and curators assign the right keywords, automatically.
Smarter Tagging, Accelerated Discovery
The upgraded GKR model isn’t just a technical improvement; it’s a leap forward in how we organize and access scientific knowledge. By automatically recommending precise, standardized keywords, the model reduces the burden on human curators while ensuring metadata quality remains high. This makes it easier for researchers, students, and the public to find exactly the datasets they need.
It also sets the stage for broader applications. The techniques used in GKR, like applying focal loss to rare-label classification problems and adapting pre-trained transformers to specialized domains, can benefit fields well beyond Earth science.
Metadata Matchmaker
The newly upgraded GKR model tackles a massive challenge in information science known as extreme multi-label classification. That’s a mouthful, but the concept is straightforward: Instead of predicting just one label, the model must choose many, sometimes dozens, from a set of thousands. Each dataset may need to be tagged with multiple, nuanced descriptors pulled from a controlled vocabulary.
Think of it like trying to identify all the animals in a photograph. If there’s just a dog, it’s easy. But if there’s a dog, a bird, a raccoon hiding behind a bush, and a unicorn that only shows up in 0.1% of your training photos, the task becomes far more difficult. That’s what GKR is up against: tagging complex datasets with precision, even when examples of some keywords are scarce.
And the problem is only growing. The new version of GKR now considers more than 3,200 keywords, up from about 430 in its earlier iteration. That’s a sevenfold increase in vocabulary complexity, and a major leap in what the model needs to learn and predict.
To handle this scale, the GKR team didn’t just add more data; they built a more capable model from the ground up. At the heart of the upgrade is INDUS, an advanced language model trained on a staggering 66 billion words drawn from scientific literature across disciplines—Earth science, biological sciences, astronomy, and more.
NASA ODSI’s GCMD Keyword Recommender AI model automatically tags scientific datasets with the help of INDUS, a large language model trained on NASA scientific publications across the disciplines of astrophysics, biological and physical sciences, Earth science, heliophysics, and planetary science. NASA “We’re at the frontier of cutting-edge artificial intelligence and machine learning for science,” said Sajil Awale, a member of the NASA ODSI AI team at MSFC. “This problem domain is interesting, and challenging, because it’s an extreme classification problem where the model needs to differentiate even very similar keywords/tags based on small variations of context. It’s exciting to see how we have leveraged INDUS to build this GKR model because it is designed and trained for scientific domains. There are opportunities to improve INDUS for future uses.”
This means that the new GKR isn’t just guessing based on word similarities; it understands the context in which keywords appear. It’s the difference between a model knowing that “precipitation” might relate to weather versus recognizing when it means a climate variable in satellite data.
And while the older model was trained on only 2,000 metadata records, the new version had access to a much richer dataset of more than 43,000 records from NASA’s Common Metadata Repository. That increased exposure helps the model make more accurate predictions.
The Common Metadata Repository is the backend behind the following data search and discovery services:
Earthdata Search International Data Network Learning to Love Rare Words
One of the biggest hurdles in a task like this is class imbalance. Some keywords appear frequently; others might show up just a handful of times. Traditional machine learning approaches, like cross-entropy loss, which was used initially to train the model, tend to favor the easy, common labels, and neglect the rare ones.
To solve this, NASA’s team turned to focal loss, a strategy that reduces the model’s attention to obvious examples and shifts focus toward the harder, underrepresented cases.
The result? A model that performs better across the board, especially on the keywords that matter most to specialists searching for niche datasets.
From Metadata to Mission
Ultimately, science depends not only on collecting data, but on making that data usable and discoverable. The updated GKR tool is a quiet but critical part of that mission. By bringing powerful AI to the task of metadata tagging, it helps ensure that the flood of Earth observation data pouring in from satellites and instruments around the globe doesn’t get lost in translation.
In a world awash with data, tools like GKR help researchers find the signal in the noise and turn information into insight.
Beyond powering GKR, the INDUS large language model is also enabling innovation across other NASA SMD projects. For example, INDUS supports the Science Discovery Engine by helping automate metadata curation and improving the relevancy ranking of search results.The diverse applications reflect INDUS’s growing role as a foundational AI capability for SMD.
The INDUS large language model is funded by the Office of the Chief Science Data Officer within NASA’s Science Mission Directorate at NASA Headquarters in Washington. The Office of the Chief Science Data Officer advances scientific discovery through innovative applications and partnerships in data science, advanced analytics, and artificial intelligence.
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Last Updated Jul 09, 2025 Related Terms
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By NASA
A funky effect Einstein predicted, known as gravitational lensing — when a foreground galaxy magnifies more distant galaxies behind it — will soon become common when NASA’s Nancy Grace Roman Space Telescope begins science operations in 2027 and produces vast surveys of the cosmos.
This image shows a simulated observation from NASA’s Nancy Grace Roman Space Telescope with an overlay of its Wide Field Instrument’s field of view. More than 20 gravitational lenses, with examples shown at left and right, are expected to pop out in every one of Roman’s vast observations. A journal paper led by Bryce Wedig, a graduate student at Washington University in St. Louis, Missouri, estimates that of those Roman detects, about 500 from the telescope’s High-Latitude Wide-Area Survey will be suitable for dark matter studies. By examining such a large population of gravitational lenses, the researchers hope to learn a lot more about the mysterious nature of dark matter.Credit: NASA, Bryce Wedig (Washington University), Tansu Daylan (Washington University), Joseph DePasquale (STScI) A particular subset of gravitational lenses, known as strong lenses, is the focus of a new paper published in the Astrophysical Journal led by Bryce Wedig, a graduate student at Washington University in St. Louis. The research team has calculated that over 160,000 gravitational lenses, including hundreds suitable for this study, are expected to pop up in Roman’s vast images. Each Roman image will be 200 times larger than infrared snapshots from NASA’s Hubble Space Telescope, and its upcoming “wealth” of lenses will vastly outpace the hundreds studied by Hubble to date.
Roman will conduct three core surveys, providing expansive views of the universe. This science team’s work is based on a previous version of Roman’s now fully defined High-Latitude Wide-Area Survey. The researchers are working on a follow-up paper that will align with the final survey’s specifications to fully support the research community.
“The current sample size of these objects from other telescopes is fairly small because we’re relying on two galaxies to be lined up nearly perfectly along our line of sight,” Wedig said. “Other telescopes are either limited to a smaller field of view or less precise observations, making gravitational lenses harder to detect.”
Gravitational lenses are made up of at least two cosmic objects. In some cases, a single foreground galaxy has enough mass to act like a lens, magnifying a galaxy that is almost perfectly behind it. Light from the background galaxy curves around the foreground galaxy along more than one path, appearing in observations as warped arcs and crescents. Of the 160,000 lensed galaxies Roman may identify, the team expects to narrow that down to about 500 that are suitable for studying the structure of dark matter at scales smaller than those galaxies.
“Roman will not only significantly increase our sample size — its sharp, high-resolution images will also allow us to discover gravitational lenses that appear smaller on the sky,” said Tansu Daylan, the principal investigator of the science team conducting this research program. Daylan is an assistant professor and a faculty fellow at the McDonnell Center for the Space Sciences at Washington University in St. Louis. “Ultimately, both the alignment and the brightness of the background galaxies need to meet a certain threshold so we can characterize the dark matter within the foreground galaxies.”
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This video shows how a background galaxy’s light is lensed or magnified by a massive foreground galaxy, seen at center, before reaching NASA’s Roman Space Telescope. Light from the background galaxy is distorted, curving around the foreground galaxy and appearing more than once as warped arcs and crescents. Researchers studying these objects, known as gravitational lenses, can better characterize the mass of the foreground galaxy, which offers clues about the particle nature of dark matter.Credit: NASA, Joseph Olmsted (STScI) What Is Dark Matter?
Not all mass in galaxies is made up of objects we can see, like star clusters. A significant fraction of a galaxy’s mass is made up of dark matter, so called because it doesn’t emit, reflect, or absorb light. Dark matter does, however, possess mass, and like anything else with mass, it can cause gravitational lensing.
When the gravity of a foreground galaxy bends the path of a background galaxy’s light, its light is routed onto multiple paths. “This effect produces multiple images of the background galaxy that are magnified and distorted differently,” Daylan said. These “duplicates” are a huge advantage for researchers — they allow multiple measurements of the lensing galaxy’s mass distribution, ensuring that the resulting measurement is far more precise.
Roman’s 300-megapixel camera, known as its Wide Field Instrument, will allow researchers to accurately determine the bending of the background galaxies’ light by as little as 50 milliarcseconds, which is like measuring the diameter of a human hair from the distance of more than two and a half American football fields or soccer pitches.
The amount of gravitational lensing that the background light experiences depends on the intervening mass. Less massive clumps of dark matter cause smaller distortions. As a result, if researchers are able to measure tinier amounts of bending, they can detect and characterize smaller, less massive dark matter structures — the types of structures that gradually merged over time to build up the galaxies we see today.
With Roman, the team will accumulate overwhelming statistics about the size and structures of early galaxies. “Finding gravitational lenses and being able to detect clumps of dark matter in them is a game of tiny odds. With Roman, we can cast a wide net and expect to get lucky often,” Wedig said. “We won’t see dark matter in the images — it’s invisible — but we can measure its effects.”
“Ultimately, the question we’re trying to address is: What particle or particles constitute dark matter?” Daylan added. “While some properties of dark matter are known, we essentially have no idea what makes up dark matter. Roman will help us to distinguish how dark matter is distributed on small scales and, hence, its particle nature.”
Preparations Continue
Before Roman launches, the team will also search for more candidates in observations from ESA’s (the European Space Agency’s) Euclid mission and the upcoming ground-based Vera C. Rubin Observatory in Chile, which will begin its full-scale operations in a few weeks. Once Roman’s infrared images are in hand, the researchers will combine them with complementary visible light images from Euclid, Rubin, and Hubble to maximize what’s known about these galaxies.
“We will push the limits of what we can observe, and use every gravitational lens we detect with Roman to pin down the particle nature of dark matter,” Daylan said.
The Nancy Grace Roman Space Telescope is managed at NASA’s Goddard Space Flight Center in Greenbelt, Maryland, with participation by NASA’s Jet Propulsion Laboratory in Southern California; Caltech/IPAC in Pasadena, California; the Space Telescope Science Institute in Baltimore; and a science team comprising scientists from various research institutions. The primary industrial partners are BAE Systems, Inc. in Boulder, Colorado; L3Harris Technologies in Melbourne, Florida; and Teledyne Scientific & Imaging in Thousand Oaks, California.
By Claire Blome
Space Telescope Science Institute, Baltimore, Md.
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Last Updated Jun 12, 2025 EditorAshley BalzerContactAshley Balzerashley.m.balzer@nasa.govLocationNASA Goddard Space Flight Center Related Terms
Nancy Grace Roman Space Telescope Astrophysics Dark Matter Galaxies Galaxies, Stars, & Black Holes Galaxies, Stars, & Black Holes Research The Universe Explore More
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By NASA
Explore This Section Perseverance Home Mission Overview Rover Components Mars Rock Samples Where is Perseverance? Ingenuity Mars Helicopter Mission Updates Science Overview Objectives Instruments Highlights Exploration Goals News and Features Multimedia Perseverance Raw Images Images Videos Audio More Resources Mars Missions Mars Sample Return Mars Perseverance Rover Mars Curiosity Rover MAVEN Mars Reconnaissance Orbiter Mars Odyssey More Mars Missions Mars Home 2 min read
Searching for Ancient Rocks in the ‘Forlandet’ Flats
NASA’s Mars Perseverance rover acquired this image of the “Fallbreen” workspace using its onboard Left Navigation Camera (Navcam). The camera is located high on the rover’s mast and aids in driving. This image was acquired on May 22, 2025 (Sol 1512, or Martian day 1,512 of the Mars 2020 mission) at the local mean solar time of 14:39:01. NASA/JPL-Caltech Written by Henry Manelski, Ph.D. student at Purdue University
This week Perseverance continued its gradual descent into the relatively flat terrain outside of Jezero Crater. In this area, the science team expects to find rocks that could be among the oldest ever observed by the Perseverance rover — and perhaps any rover to have explored the surface of Mars — presenting a unique opportunity to understand Mars’ ancient past. Perseverance is now parked at “Fallbreen,” a light-toned bedrock exposure that the science team hopes to compare to the nearby olivine-bearing outcrop at “Copper Cove.” This could be a glimpse of the geologic unit rich in olivine and carbonate that stretches hundreds of kilometers to the west of Jezero Crater. Gaining insight into how these rocks formed could have profound implications for our constantly evolving knowledge of this region’s history. Perseverance’s recent traverses marked another notable transition. After rolling past Copper Cove, Perseverance entered the “Forlandet” quadrangle, a 1.2-square-kilometer (about 0.46 square mile, or 297-acre) area along the edge of the crater that the science team named after Forlandet National Park on the Norwegian archipelago of Svalbard. Discovered in the late 16th century by Dutch explorers, this icy set of islands captured the imagination of a generation of sailors searching for the Northwest Passage. While Perseverance is in the Forlandet quad, landforms and rock targets will be named informally after sites in and around this national park on Earth. As the rover navigates through its own narrow passes in the spirit of discovery, driving around sand dunes and breezing past buttes, we hope it channels the perseverance of the explorers who once gave these rocks their names.
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Last Updated Jun 06, 2025 Related Terms
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Curiosity Navigation Curiosity Home Mission Overview Where is Curiosity? Mission Updates Science Overview Instruments Highlights Exploration Goals News and Features Multimedia Curiosity Raw Images Images Videos Audio Mosaics More Resources Mars Missions Mars Sample Return Mars Perseverance Rover Mars Curiosity Rover MAVEN Mars Reconnaissance Orbiter Mars Odyssey More Mars Missions Mars Home 3 min read
Sols 4559-4560: Drill Campaign — Searching for a Boxwork Bedrock Drill Site
NASA’s Mars rover Curiosity acquired this image of a portion of its workspace, full of interesting but not drillable bedrock, using its Left Navigation Camera on June 2, 2025 — Sol 4558, or Martian day 4,558 of the Mars Science Laboratory mission — at 12:23:24 UTC. NASA/JPL-Caltech Written by Lucy Lim, Planetary Scientist at NASA’s Goddard Space Flight Center
Earth planning date: Monday, June 2, 2025
Now that Curiosity has spent a few sols collecting close-up measurements of the rocks in the outer edge of the boxwork-forming geologic unit, the team has decided that it’s time to collect a drill sample. The geochemical measurements by APXS and ChemCam have shown changes since we crossed over from the previous layered sulfate unit, but we can’t figure out the mineralogy from those data alone. As we’ve often seen before on Mars, the same chemical elements can crystallize into a number of different mineral assemblages. That’s even more the case in sedimentary rocks such as we are driving through, in which different grains in our rocks may have formed in different times and places. This also means that when we do get our mineral data, those minerals will tell us a lot about the history of these new-to-us rocks.
On board Curiosity, that mineral analysis is the job of the CheMin instrument, which uses X-ray diffraction to identify minerals. CheMin shines a narrow X-ray beam through a powdered sample in order to generate the diffraction pattern, which means that it needs a drilled sample. So the team today was busy looking for a drillable spot. Unfortunately the rover’s drill reach from today’s parking spot included only rocks that were too fractured or had too much debris sitting on them to be considered likely to produce a good drilled sample, so we will have to move, or “bump,” at least one more time before progressing to the drill preload test, which is the next step in drilling.
In the meantime, we are taking more measurements to understand the range of compositions that can be found in this rock layer. Dust removal (DRT) + APXS + LIBS + MAHLI were all planned for target “Holcomb Valley,” while a short distance away a second DRT/APXS/MAHLI measurement was planned for “Santa Ysabel Valley” and in another direction, a second LIBS for “Stough Saddle.” One long-distance ChemCam remote imaging mosaic was planned to cover a boxwork structure off in the distance. Mastcam had a relatively light day of imaging, with just a couple of small mosaics covering a nearby trough feature, and providing context for the RMI of the boxwork structure, in addition to documenting the two LIBS targets. The modern Mars environment was also recorded with a couple of movies to look for dust-devil activity, a measurement of atmospheric opacity, and a pair of suprahorizon observations to look for clouds, plus the usual passive observations by DAN and REMS to monitor the neutron environment, temperature, and humidity.
I’ll be on rover planning Wednesday as Geology and Mineralogy Science Theme Lead and looking forward to what we find — hopefully some drillable boxwork-unit bedrock!
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Last Updated Jun 04, 2025 Related Terms
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