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Public Participation in Machine Learning Bolsters Extraterrestrial Research


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Preparations for Next Moonwalk Simulations Underway (and Underwater)

Low-angle self-portrait of NASA's Curiosity Mars rover
This low-angle self-portrait of NASA’s Curiosity Mars rover shows the vehicle at the site from which it reached down to drill into a rock target called “Buckskin” on lower Mount Sharp.

When NASA conducts research beyond our world, scientists on Earth prepare as much as possible before sending instruments on extraterrestrial journeys. One way to prepare for these exploration missions is by using machine learning techniques to develop algorithms with data from commercial instruments or from flight instruments on planetary missions.

For example, NASA uses mass spectrometer instruments on Mars missions to analyze surface samples and identify organic molecules. Developing machine learning algorithms before missions can help make the process of analyzing planetary data faster and more efficient during time-limited space operations.

In 2022, Victoria Da Poian, a data scientist supporting machine learning research at NASA’s Goddard Space Flight Center in Greenbelt, Maryland, collaborated with NASA’s Center of Excellence for Collaborative Innovation to run two machine learning-based open science challenges, which sought ideas and solutions from the public. Solvers worldwide were invited to analyze chemical data sampled from commercial instruments located at NASA centers and data from the Sample Analysis at Mars (SAM) testbed, which is a replica of the instrument suite onboard the Curiosity rover. The challenges encouraged participants to be creative in their approaches and to provide detailed descriptions of their method and code.

Da Poian said her team decided to use public competitions for this project to gain new perspectives: “We were really interested in hearing from people who aren’t in our field and weren’t biased by the data’s meaning or our scientific rules.”

As a result, more than 1150 unique participants from all over the world participated in the competitions, and more than 600 solutions contributing models to analyze rock and soil samples relevant to planetary science were submitted. The challenges served as proof-of-concept projects to analyze the feasibility of combining data from multiple sources in a single machine learning application.

In addition to benefitting from the variety of perspectives offered by challenge participants, Da Poian says the challenges were both time- and cost-efficient methods for discovering solutions. At the same time, the challenges invited the global community to participate in NASA research in support of future space exploration missions, and winners received $60,000 in total prizes across the two opportunities.

Da Poian used lessons learned to develop a new challenge with Frontier Development Lab , an international research collaboration that brings together researchers and domain experts to tackle complex problems using machine learning technologies.

The competition, titled “Stay Curious: Leveraging Machine Learning to Analyze & Interpret the Measurements of Mars Planetary Instruments,” ran from June to August 2024. Results included cleaning SAM data collected on Mars, processing data for a consistent, machine learning-ready dataset combining commercial and flight instrument data, investigating data augmentation techniques to increase the limited data volume available for the challenge, and exploring machine learning techniques to help predict the chemical composition of Martian terrain.

“The machine learning challenges opened the door to how we can use laboratory data to train algorithms and then use that to train flight data,” said Da Poian. “Being able to use laboratory data that we’ve collected for many years is a huge opportunity for us, and the results so far are extremely encouraging.”

Find more opportunities: https://www.nasa.gov/get-involved/

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      NASA’s Artemis II mission provides an opportunity to explore how deep space travel affects sleep, stress, cognition, and teamwork — key factors in astronaut health and performance. While these effects are well-documented in low Earth orbit, they’ve never been fully studied during lunar missions.

      Artemis II astronauts will wear wristband devices that continuously monitor movement and sleep patterns throughout the mission. The data will be used for real-time health monitoring and safety assessments, while pre- and post-flight evaluations will provide deeper insights into cognition, behavior, sleep quality, and teamwork in the unique environment of deep space and the Orion spacecraft.

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      Dry saliva will be collected before, during, and after the mission. It will be blotted onto specialized paper in pocket-sized booklets since equipment needed to preserve wet spit samples in space – including refrigeration – will not be available due to volume constraints. To augment that information, liquid saliva and blood samples will be collected before and after the mission.  
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      AVATAR could inform measures to ensure crew health on future deep space missions, including personalizing medical kits to each astronaut. For citizens on Earth, it could lead to advancements in individualized treatments for diseases such as cancer.

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      The crew will provide biological samples including blood, urine, and saliva for evaluating nutritional status, cardiovascular health, and immunological function starting about six months before their launch. The crew also will participate in tests and surveys evaluating balance, vestibular function, muscle performance, changes in their microbiome, as well as ocular and brain health. While in space, data gathering will include an assessment of motion sickness symptoms. After landing, there will be additional tests of head, eye, and body movements, among other functional performance tasks. Data collection will continue for a month after their return.

      All this information will be available for scientists interested in studying the effects of spaceflight via request to NASA’s Life Sciences Data Archive. The results from this work could lead to future interventions, technologies, and studies that help predict the adaptability of crews on a Mars mission.

      Radiation Sensors Inside Orion

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      Similar to Artemis I, six active radiation sensors, collectively called the Hybrid Electronic Radiation Assessors, will be deployed at various locations inside the Orion crew module. Crew also will wear dosimeters in their pockets. These sensors will provide warnings of hazardous radiation levels caused by space weather events made by the Sun. If necessary, this data will be used by mission control to drive decisions for the crew to build a shelter to protect from radiation exposure due to space weather. 

      Additionally, NASA has again partnered the German Space Agency DLR for an updated model of their M-42 sensor – an M-42 EXT – for Artemis II. The new version offers six times more resolution to distinguish between different types of energy, compared to the Artemis I version. This will allow it to accurately measure the radiation exposure from heavy ions which are thought to be particularly hazardous for radiation risk. Artemis II will carry four of the monitors, affixed at points around the cabin by the crew.

      Collectively, sensor data will paint a full picture of radiation exposures inside Orion and provide context for interpreting the results of the ARCHeR, AVATAR, Artemis II Standard Measures, and Immune Biomarkers experiments.

      Lunar Observations Campaign

      The Artemis II crew will take advantage of their location to explore the Moon from above. As the first humans to see the lunar surface up close since 1972, they’ll document their observations through photographs and audio recordings to inform scientists’ understanding of the Moon and share their experience of being far from Earth. It’s possible the crew could be the first humans to see certain areas of the Moon’s far side, though this will depend on the time and date of launch, which will affect which areas of the Moon will be illuminated and therefore visible when the spacecraft flies by.

      Spacecraft such as NASA’s Lunar Reconnaissance Orbiter have been surveying and mapping the Moon for decades, but Artemis II provides a unique opportunity for humans to evaluate the lunar surface from above. Human eyes and brains are highly sensitive to subtle changes in color, texture, and other surface characteristics. Having the crew observe the lunar surface directly – equipped with questions that scientists didn’t even know to ask during Apollo missions – could form the basis for future scientific investigations into the Moon’s geological history, the lunar environment, or new impact sites.
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      Lessons learned during Artemis II will pave the way for lunar science operations on future missions.

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      TACHELES – The Germany Space Agency DLR will collect measurements on the effects of the space environment on electrical components to inform technologies for lunar vehicles.
      Together, these research areas will inform plans for future missions within NASA’s Artemis campaign. Through Artemis, NASA will send astronauts to explore the Moon for scientific discovery, economic benefits, and build the foundation for the first crewed missions to Mars.
      View the full article
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