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By NASA
The crew of NASA’s SpaceX Crew-11 mission sit inside a Dragon training spacecraft at SpaceX in Hawthorne, California. Pictured from left: Roscosmos cosmonaut Oleg Platonov, NASA astronauts Mike Fincke and Zena Cardman, and JAXA (Japan Aerospace Exploration Agency) astronaut Kimiya Yui (Credit: SpaceX). NASA’s SpaceX Crew-11 mission is set to launch a four-person crew to the International Space Station later this summer. Some of the crew have volunteered to participate in a series of experiments to address health challenges astronauts may face on deep space missions during NASA’s Artemis campaign and future human expeditions to Mars.
The research during Crew-11 includes simulated lunar landings, tactics to safeguard vision, and other human physiology studies led by NASA’s Human Research Program.
Select crew members will participate in a series of simulated Moon landings, before, during, and after their flight. Using a handheld controller and multiple screens, the astronauts will fly through simulated scenarios created to resemble the lunar South Pole region that Artemis crews plan to visit. This experiment allows researchers to evaluate how different gravitational forces may disorient astronauts and affect their ability to pilot a spacecraft, like a lunar lander.
“Even though many landing tasks are automated, astronauts must still know how to monitor the controls and know when to take over to ensure a safe landing,” said Scott Wood, a neuroscientist at NASA’s Johnson Space Center in Houston coordinating the scientific investigation. “Our study assesses exactly how changes in gravity affect spatial awareness and piloting skills that are important for navigating these scenarios.”
A ground control group completing the same tasks over a similar timeframe will help scientists better understand gravitational effects on human performance. The experiment’s results could inform the pilot training needed for future Artemis crews.
“Experiencing weightlessness for months and then feeling greater levels of gravity on a planet like Mars, for example, may increase the risk of disorientation,” said Wood. “Our goal is to help astronauts adapt to any gravitational change, whether it’s to the Moon, a new planet, or landing back on Earth.”
Other studies during the mission will explore possible ways to treat or prevent a group of eye and brain changes that can occur during long-duration space travel, called spaceflight associated neuro-ocular syndrome (SANS).
Some researchers suspect the redistribution of bodily fluids in constant weightlessness may increase pressure in the head and contribute to SANS. One study will investigate fluid pressure on the brain while another will examine how the body processes B vitamins and whether supplements can affect how astronauts respond to bodily fluid shifts. Participating crew members will test whether a daily B vitamin supplement can eliminate or ease symptoms of SANS. Specific crew members also will wear thigh cuffs to keep bodily fluids from traveling headward.
Crew members also will complete another set of experiments, called CIPHER (Complement of Integrated Protocols for Human Exploration Research), which measures how multiple systems within the human body change in space. The study includes vision assessments, MRI scans, and other medical exams to provide a complete overview of the whole body’s response to long-duration spaceflight.
Several other studies involving human health and performance are also a part of Crew-11’s science portfolio. Crew members will contribute to a core set of measurements called Spaceflight Standard Measures, which collects physical data and biological samples from astronauts and stores them for other comparative studies. Participants will supply biological samples, such as blood and urine, for a study characterizing how spaceflight alters astronauts’ genetic makeup. In addition, volunteers will test different exercise regimens to help scientists explore what activities remain essential for long-duration journeys.
After landing, participating crew members will complete surveys to track any discomfort, such as scrapes or bruises, acquired from re-entry. The data will help clarify whether mission length increases injury risks and could help NASA design landing systems on future spacecraft as NASA prepares to travel to the Moon, Mars, and beyond.
NASA’s Human Research Program pursues methods and technologies to support safe, productive human space travel. Through science conducted in laboratories, ground-based analogs, and aboard the International Space Station, the program investigates how spaceflight affects human bodies and behaviors. Such research drives NASA’s quest to innovate ways that keep astronauts healthy and mission-ready.
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By NASA
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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Polar Tourists Give Positive Reviews to NASA Citizen Science in Antarctica
Citizen science projects result in an overwhelmingly positive impact on the polar tourism experience. That’s according to a new paper analyzing participant experiences in the first two years of FjordPhyto, a NASA Citizen Science project..
The FjordPhyto citizen science project invites travelers onboard expedition cruise vessels to gather data and samples during the polar summer season, helping researchers understand changes in microalgae communities in response to melting glaciers. Travelers in Antarctica from November to March help collect phytoplankton and ocean data from polar regions facilitated by trained expedition guides.
The new research found that ninety-seven percent of respondents reported that participating in citizen science enriched their travel experience. The paper provides a first understanding of the impact of citizen science projects on the tourism experience.
“I was worried that I would feel guilty being a tourist in a place as remote and untouched as Antarctica,” said one anonymous FjordPhyto participant. “But being able to learn and be a part of citizen science, whilst constantly being reminded of our environmental responsibilities, made me feel less like just a visitor and more a part of keeping the science culture that Antarctica is known for alive and well.”
For more information and to sign up, visit the FjordPhyto website.
Travelers in Antarctica participate in collecting phytoplankton and ocean data from polar regions facilitated by trained expedition guides. Credit: Mathew Farrell courtesy of Robert Gilmore Share
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By NASA
This artist’s concept animation shows the orbital dynamics of KOI-134 system which, in 2025, a paper revealed to have two planets: KOI-134 b and KOI-134 c. NASA/JPL-Caltech/K. Miller (Caltech/IPAC) The Planets
KOI-134 b and KOI-134 c
This artist’s concept shows the KOI-134 system which, in 2025, a paper revealed to have two planets: KOI-134 b and KOI-134 c. NASA/JPL-Caltech/K. Miller (Caltech/IPAC) The Discovery
A new investigation into old Kepler data has revealed that a planetary system once thought to house zero planets actually has two planets which orbit their star in a unique style, like an old-fashioned merry-go-round.
Key Facts
The KOI-134 system contains two planets which orbit their star in a peculiar fashion on two different orbital planes, with one planet exhibiting significant variation in transit times. This is the first-discovered system of its kind.
Details
Over a decade ago, scientists used NASA’s Kepler Space Telescope to observe the KOI-134 system and thought that it might have a planet orbiting, but they deemed this planet candidate to be a false positive, because its transits (or passes in front of its star) were not lining up as expected. These transits were so abnormal that the planet was actually weeded out through an automated system as a false positive before it could be analyzed further.
However, NASA’s commitment to openly sharing scientific data means that researchers can constantly revisit old observations to make new discoveries. In this new study, researchers re-analyzed this Kepler data on KOI-134 and confirmed that not only is the “false positive” actually a real planet, but the system has two planets and some really interesting orbital dynamics!
First, the “false positive” planet, named KOI-134 b, was confirmed to be a warm Jupiter (or a warm planet of a similar size to Jupiter). Through this analysis, researchers uncovered that the reason this planet eluded confirmation previously is because it experiences what are called transit timing variations (TTVs), or small differences in a planet’s transit across its star that can make its transit “early” or “late” because the planet is being pushed or pulled by the gravity from another planet which was also revealed in this study. Researchers estimate that KOI-134 b transits across its star as much as 20 hours “late” or “early,” which is a significant variation. In fact, it was so significant that it’s the reason why the planet wasn’t confirmed in initial observations.
As these TTVs are caused by the gravitational interaction with another planet, this discovery also revealed a planetary sibling: KOI-134 c. Through studying this system in simulations that include these TTVs, the team found that KOI-134 c is a planet slightly smaller than Saturn and closer to its star than KOI-134 b.
This artist’s concept shows the KOI-134 system which, in 2025, a paper revealed to have two planets: KOI-134 b and KOI-134 c. NASA/JPL-Caltech/K. Miller (Caltech/IPAC) KOI-134 c previously eluded observation because it orbits on a tilted orbital plane, a different plane from KOI-134 b, and this tilted orbit prevents the planet from transiting its star. The two orbital planes of these planets are about 15 degrees different from one another, also known as a mutual inclination of 15 degrees, which is significant. Due to the gravitational push and pull between these two planets, their orbital planes also tilt back and forth.
Another interesting feature of this planetary system is something called resonance. These two planets have a 2 to 1 resonance, meaning within the same time that one planet completes one orbit, the other completes two orbits. In this case, KOI-134 b has an orbital period (the time it takes a planet to complete one orbit) of about 67 days, which is twice the orbital period of KOI-134 c, which orbits every 33-34 days.
Between the separate orbital planes tilting back and forth, the TTVs, and the resonance, the two planets orbit their star in a pattern that resembles two wooden ponies bobbing up and down as they circle around on an old-fashioned merry go round.
Fun Facts
While this system started as a false positive with Kepler, this re-analysis of the data reveals a vibrant system with two planets. In fact, this is the first-ever discovered compact, multiplanetary system that isn’t flat, has such a significant TTV, and experiences orbital planes tilting back and forth.
Also, most planetary systems do not have high mutual inclinations between close planet pairs. In addition to being a rarity, mutual inclinations like this are also not often measured because of challenges within the observation process. So, having measurements like this of a significant mutual inclination in a system, as well as measurements of resonance and TTVs, provides a clear picture of dynamics within a planetary system which we are not always able to see.
The Discoverers
A team of scientists led by Emma Nabbie of the University of Southern Queensland published a paper on June 27 on their discovery, “A high mutual inclination system around KOI-134 revealed by transit timing variations,” in the journal “Nature Astronomy.” The observations described in this paper and used in simulations in this paper were made by NASA’s Kepler Space Telescope and the paper included collaboration and contributions from institutions including the University of Geneva, University of La Laguna, Purple Mountain Observatory, the Harvard-Smithsonian Center for Astrophysics, the Georgia Institute of Technology, the University of Southern Queensland, and NASA’s retired Kepler Space Telescope.
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By NASA
The four crew members of NASA’s SpaceX Crew-11 mission to the International Space Station train inside a SpaceX Dragon spacecraft in Hawthorne, California. From left to right: Roscosmos cosmonaut Oleg Platonov, NASA astronauts Mike Fincke and Zena Cardman, and JAXA astronaut Kimiya Yui.Credit: SpaceX NASA and its partners will discuss the upcoming crew rotation to the International Space Station during a pair of news conferences on Thursday, July 10, from the agency’s Johnson Space Center in Houston.
First is an overview news conference at 12 p.m. EDT with mission leadership discussing final launch and mission preparations on the agency’s YouTube channel.
Next, crew will participate in a news conference at 2 p.m. on NASA’s YouTube channel, followed by individual astronaut interviews at 3 p.m. This is the final media opportunity with Crew-11 before they travel to NASA’s Kennedy Space Center in Florida for launch.
The Crew-11 mission, targeted to launch in late July/early August, will carry NASA astronauts Zena Cardman and Mike Fincke, JAXA (Japan Aerospace Exploration Agency) astronaut Kimiya Yui, and Roscosmos cosmonaut Oleg Platonov to the orbiting laboratory. The crew will launch aboard a SpaceX Dragon spacecraft on the company’s Falcon 9 rocket from Launch Complex 39A.
United States-based media seeking to attend in person must contact the NASA Johnson newsroom no later than 5 p.m. on Monday, July 7, at 281-483-5111 or jsccommu@mail.nasa.gov. A copy of NASA’s media accreditation policy is available online.
Any media interested in participating in the news conferences by phone must contact the Johnson newsroom by 9:45 a.m. the day of the event. Media seeking virtual interviews with the crew must submit requests to the Johnson newsroom by 5 p.m. on Monday, July 7.
Briefing participants are as follows (all times Eastern and subject to change based on real-time operations):
12 p.m.: Mission Overview News Conference
Steve Stich, manager, Commercial Crew Program, NASA Kennedy Bill Spetch, operations integration manager, International Space Station Program, NASA Johnson NASA’s Space Operations Mission Directorate representative Sarah Walker, director, Dragon Mission Management, SpaceX Mayumi Matsuura, vice president and director general, Human Spaceflight Technology Directorate, JAXA 2 p.m.: Crew News Conference
Zena Cardman, Crew-11 commander, NASA Mike Fincke, Crew-11 pilot, NASA Kimiya Yui, Crew-11 mission specialist, JAXA Oleg Platonov, Crew-11 mission specialist, Roscosmos 3 p.m.: Crew Individual Interview Opportunities
Crew-11 members available for a limited number of interviews
Selected as a NASA astronaut in 2017, Cardman will conduct her first spaceflight. The Williamsburg, Virginia, native holds a bachelor’s degree in Biology and a master’s in Marine Sciences from the University of North Carolina at Chapel Hill. At the time of selection, she was pursuing a doctorate in geosciences. Cardman’s geobiology and geochemical cycling research focused on subsurface environments, from caves to deep sea sediments. Since completing initial training, Cardman has supported real-time station operations and lunar surface exploration planning. Follow @zenanaut on X and @zenanaut on Instagram.
This will be Fincke’s fourth trip to the space station, having logged 382 days in space and nine spacewalks during Expedition 9 in 2004, Expedition 18 in 2008, and STS-134 in 2011, the final flight of space shuttle Endeavour. Throughout the past decade, Fincke has applied his expertise to NASA’s Commercial Crew Program, advancing the development and testing of the SpaceX Dragon spacecraft and Boeing Starliner spacecraft toward operational certification. The Emsworth, Pennsylvania, native is a graduate of the United States Air Force Test Pilot School and holds bachelors’ degrees from the Massachusetts Institute of Technology, Cambridge, in both aeronautics and astronautics, as well as Earth, atmospheric and planetary sciences. He also has a master’s degree in aeronautics and astronautics from Stanford University in California. Fincke is a retired U.S. Air Force colonel with more than 2,000 flight hours in over 30 different aircraft. Follow @AstroIronMike on X and Instagram.
With 142 days in space, this will be Yui’s second trip to the space station. After his selection as a JAXA astronaut in 2009, Yui flew as a flight engineer for Expedition 44/45 and became the first Japanese astronaut to capture JAXA’s H-II Transfer Vehicle using the station’s robotic arm. In addition to constructing a new experimental environment aboard Kibo, he conducted a total of 21 experiments for JAXA. In November 2016, Yui was assigned as chief of the JAXA Astronaut Group. He graduated from the School of Science and Engineering at the National Defense Academy of Japan in 1992. He later joined the Air Self-Defense Force at the Japan Defense Agency (currently the Ministry of Defense). In 2008, Yui joined the Air Staff Office at the Ministry of Defense as a lieutenant colonel. Follow @astro_kimiya on X.
The Crew-11 mission also will be Platonov’s first spaceflight. Before his selection as a cosmonaut in 2018, Platonov earned a degree in engineering from Krasnodar Air Force Academy in aircraft operations and air traffic management. He also earned a bachelor’s degree in state and municipal management in 2016 from the Far Eastern Federal University in Vladivostok, Russia. Assigned as a test cosmonaut in 2021, he has experience in piloting aircraft, zero gravity training, scuba diving, and wilderness survival.
For more information about the mission, visit:
https://www.nasa.gov/commercialcrew
-end-
Claire O’Shea / Joshua Finch
Headquarters, Washington
202-358-1100
claire.a.o’shea@nasa.gov / joshua.a.finch@nasa.gov
Sandra Jones / Joseph Zakrzewski
Johnson Space Center, Houston
281-483-5111
sandra.p.jones@nasa.gov / Joseph.a.zakrzewski@nasa.gov
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Last Updated Jul 02, 2025 LocationNASA Headquarters Related Terms
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