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By European Space Agency
Thousands of visitors flocked to ESA’s establishment in the UK last Saturday to experience first-hand how the agency is pushing the boundaries of exploration and using space to improve life on Earth.
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By NASA
4 min read
Preparations for Next Moonwalk Simulations Underway (and Underwater)
Artist concept depicting a new novel aerospace concept for NIAC Phase III 2024.Credit: Lynn Rothschild Lynn Rothschild
NASA Ames Research Center (ARC)
A turtle carries its habitat. While reliable, it costs energy in transporting mass. NASA makes the same trade-off when it transports habitats and other structures off planet “on the back” of its missions. While this approach is reliable, to save upmass and increase mission flexibility, NASA must be more like a bird, low mass, agile and building structures from local resources. We identified a novel biology-based solution to the in situ production of usable structures for space exploration: using fungal mycelial (myco) composites to grow structures off-planet, from habitats to furniture to tableware. As a living material it has the potential to self heal, self replicate, be bioengineered, and enhanced with materials such as metals and melanin. Prior performance: During Phase 1, we raised the TRL to 2 by assessing the growth of fungi on different food substrates and analyzing their use on Mars and Earth. In Phase II we completed TRL 3 for an integrated system of inflatables and myco-material production. We designed prototypes and subsystems. We performed proof-of-concepts analyzing myco-material function before and after exposure to relevant environments in a planetary simulator. Our Phase II report and publications documented analytical and experimental results on fungal and inflatable components of the system validating prediction of key parameters. Phase II developed the Phase I mission concept, with an Artemis-inspired focus towards lunar habitats with a “feed forward to Mars” concept.
We assessed fungal/algal/bacterial mixtures by testing different combinations at different temperatures with different food sources, and developed a high throughput, reproducible method for producing fungal materials. We tested sand and regolith simulant composites for in situ material construction. We developed prototypes in silicone scale models, and a 4X4 m model of inflatable architecture and grew a mycelium dome on top. We determined the effect of simulated extraterrestrial conditions on materials showing hyphal damage under UV. By tuning different steps of production, we can change the mechanical properties of the mycelium biocomposites as they undergo compression. We incorporated melanin-producing strains into experiments and models for radiation protection. We drafted designs for mycelium-based lunar habitats. We utilized the 500-Day DRM to the Apollo 15 Hadley-Apenine Region to define science objective and infrastructure requirements to support extended exploration missions to the Moon and Mars, identifying critical gaps that can be filled by mycotecture. Archetypes were drafted per this DRM. Terrestrial applications demonstrated the spin-off potential of the NIAC technology from habitats to tableware.
Innovation and Benefits: If we succeed in developing a fungal biocomposite that can grow itself, we will provide NASA with a radically new, cheaper, faster, more flexible, lighter and sustainable material for extended duration Lunar and Mars mission habitats, as well as for furniture and other structures in flight or at destination.
Milestones and Transition Strategy: The mission context of Phase I was Martian habitats. Mindful of the more immediate focus on Artemis, Phase II focused on a lunar implementation, with a DRM for a 500 day mission to the Apollo 15 Hadley-Max region and the south polar region. En route to realizing these visions, we have identified two intermediate opportunities, both of which require NIAC Phase III funding. They are to (1) test mycotecture suitability and growth in LEO by the integration into an orbiting space station, Starlab, and (2) test mycotecture habitat prototypes on the lunar surface through a CLPS mission. To participate in Starlab, we will develop prototypes for this application and then team with Starlab LLC to raise funding to produce flight-ready structures. To be competitive for a CLPS mission, we will use NIAC funding to raise the technology to TRL6 for this lunar demo mission.
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Last Updated Jun 26, 2024 EditorLoura Hall Related Terms
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By NASA
1 min read
Preparations for Next Moonwalk Simulations Underway (and Underwater)
Credits: NASA NASA and the Hudson Square Business Improvement District are launching an open call to New York-based artists and artist teams to design and install a large-scale, space-themed neighborhood mural. The NASA x Hudson Square partnership was developed to inspire the surrounding Manhattan Hudson Square community by showcasing NASA’s work and missions.
Artists are encouraged to submit proposals for the project and detail how their mural will illustrate the impact of NASA’s priorities, such as the agency’s James Webb Space Telescope, climate science and innovation, and the Artemis campaign exploring the Moon. Applications are due by Friday, June 28.
The selected project will receive a $20,000 award for design fees, materials, labor, and equipment, with a portion of funds provided by NASA and matched by Hudson Square Business Improvement District. The mural installation is expected to be complete by September.
NASA continues to seek opportunities to inspire the next generation of explorers – the Artemis Generation – through collaborations with partners like the Hudson Square Business Improvement District. Details about submitting project proposals are available on the Hudson Square web page. For questions about applying to the NASA x Hudson Square mural project, contact PublicArt@HudsonSquareBID.org.
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Last Updated Jun 25, 2024 Related Terms
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By NASA
Jake Cupani, a data science specialist, focuses on the intersection between data visualization and user experience — UX — design.
Name: Jake Cupani
Title: Financial analytics support specialist
Organization: Financial Analytics and Systems Office, Office of the Chief Financial Officer (Code 156)
Jake Cupani is a financial analytics support specialist at Goddard Space Flight Center in Greenbelt, Md. Photo courtesy of Jake Cupani What do you do and what is most interesting about your role here at Goddard?
I create data visualizations and dashboards to help visualize some of the key metrics including demographics, budgeting, and forecasting. I enjoy helping our office modernize and automate their processes.
What is your educational background?
In 2020, I got a B.S. in information science with a minor in astronomy from the University of Maryland. In 2022, I got a master’s in information management and data analytics also from the University of Maryland.
How did you come to Goddard?
After graduating, I did some consulting. I came to Goddard in 2023, but I had interned for Goddard throughout my academic career. My office knew about my work and recruited me.
You describe yourself as a data science specialist. What do you mean?
Data science encompasses everything from data visualization to analysis and specifics as well as data preparation. Data visualization focuses on taking any sort of data, be it spreadsheets or tables, and creating graphs and interactive charts to explain the data and gather insights on the data.
What is most important to you as a data science specialist?
What I think is important is the intersection between the visualization and the user experience. You have to make it easy for people to digest the analytics so that they can understand the ideas you are trying to get across and the overall trends.
As a person fairly new to Goddard, what are your initial impressions?
What is great about Goddard is that everyone seems really open to helping. Everyone works collaboratively. You can always ask questions. Goddard has a collegial environment.
It is very refreshing to be in an environment that is so open and welcoming. People from all different walks of life work at Goddard and this diversity enables us to accomplish all the things that we do. People are willing to listen to other people’s ideas.
Who is your mentor and what have you learned?
My mentor is my boss, John Brady. I thank him for being such a good leader and listener. He taught me about Goddard’s culture and how decisions are made.
What is your involvement with the LGBTQ+ Employee Resource Group?
Although not in a leadership role, I attend the monthly meetings where we get together and have lunch. Sometimes we have speakers, other times we just talk. These lunches help me engage with the LGBTQ+ community.
“What I think is important is the intersection between the visualization and the user experience,” said Jake. “You have to make it easy for people to digest the analytics so that they can understand the ideas you are trying to get across and the overall trends.”Photo courtesy of Jake Cupani What one thing you would tell somebody just starting their career at Goddard?
I would tell them that working at Goddard is an amazing opportunity that will allow them to meet a lot of really smart people who also very welcoming. I would tell them not to be shy and to talk to as many people as they can.
Where do you see yourself in five years?
In five years, I want to still work in data visualization and continue to learn as much as I can to grow my expertise. Beyond that, I don’t know what is in the future for me.
What do you do for fun?
I like baking cookies, brownies, and cakes. I am also a big fan of playing video games, especially Pokémon.
By Elizabeth M. Jarrell
NASA’s Goddard Space Flight Center, Greenbelt, Md.
Conversations With Goddard is a collection of Q&A profiles highlighting the breadth and depth of NASA’s Goddard Space Flight Center’s talented and diverse workforce. The Conversations have been published twice a month on average since May 2011. Read past editions on Goddard’s “Our People” webpage.
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Last Updated Jun 25, 2024 EditorMadison OlsonContactRob Garnerrob.garner@nasa.govLocationGoddard Space Flight Center Related Terms
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By NASA
4 min read
NASA-IBM Collaboration Develops INDUS Large Language Models for Advanced Science Research
Named for the southern sky constellation, INDUS (stylized in all caps) is a comprehensive suite of large language models supporting five science domains. NASA By Derek Koehl
Collaborations with private, non-federal partners through Space Act Agreements are a key component in the work done by NASA’s Interagency Implementation and Advanced Concepts Team (IMPACT). A collaboration with International Business Machines (IBM) has produced INDUS, a comprehensive suite of large language models (LLMs) tailored for the domains of Earth science, biological and physical sciences, heliophysics, planetary sciences, and astrophysics and trained using curated scientific corpora drawn from diverse data sources.
INDUS contains two types of models; encoders and sentence transformers. Encoders convert natural language text into numeric coding that can be processed by the LLM. The INDUS encoders were trained on a corpus of 60 billion tokens encompassing astrophysics, planetary science, Earth science, heliophysics, biological, and physical sciences data. Its custom tokenizer developed by the IMPACT-IBM collaborative team improves on generic tokenizers by recognizing scientific terms like biomarkers and phosphorylated. Over half of the 50,000-word vocabulary contained in INDUS is unique to the specific scientific domains used for its training. The INDUS encoder models were used to fine tune the sentence transformer models on approximately 268 million text pairs, including titles/abstracts and questions/answers.
By providing INDUS with domain-specific vocabulary, the IMPACT-IBM team achieved superior performance over open, non-domain specific LLMs on a benchmark for biomedical tasks, a scientific question-answering benchmark, and Earth science entity recognition tests. By designing for diverse linguistic tasks and retrieval augmented generation, INDUS is able to process researcher questions, retrieve relevant documents, and generate answers to the questions. For latency sensitive applications, the team developed smaller, faster versions of both the encoder and sentence transformer models.
Validation tests demonstrate that INDUS excels in retrieving relevant passages from the science corpora in response to a NASA-curated test set of about 400 questions. IBM researcher Bishwaranjan Bhattacharjee commented on the overall approach: “We achieved superior performance by not only having a custom vocabulary but also a large specialized corpus for training the encoder model and a good training strategy. For the smaller, faster versions, we used neural architecture search to obtain a model architecture and knowledge distillation to train it with supervision of the larger model.”
NASA Chief Scientist Kate Calvin gives remarks in a NASA employee town hall on how the agency is using and developing Artificial Intelligence (AI) tools to advance missions and research, Wednesday, May 22, 2024, at the NASA Headquarters Mary W. Jackson Building in Washington. The INDUS suite of models will help facilitate the agency’s AI goals. NASA/Bill Ingalls INDUS was also evaluated using data from NASA’s Biological and Physical Sciences (BPS) Division. Dr. Sylvain Costes, the NASA BPS project manager for Open Science, discussed the benefits of incorporating INDUS: “Integrating INDUS with the Open Science Data Repository (OSDR) Application Programming Interface (API) enabled us to develop and trial a chatbot that offers more intuitive search capabilities for navigating individual datasets. We are currently exploring ways to improve OSDR’s internal curation data system by leveraging INDUS to enhance our curation team’s productivity and reduce the manual effort required daily.”
At the NASA Goddard Earth Sciences Data and Information Services Center (GES-DISC), the INDUS model was fine-tuned using labeled data from domain experts to categorize publications specifically citing GES-DISC data into applied research areas. According to NASA principal data scientist Dr. Armin Mehrabian, this fine-tuning “significantly improves the identification and retrieval of publications that reference GES-DISC datasets, which aims to improve the user journey in finding their required datasets.” Furthermore, the INDUS encoder models are integrated into the GES-DISC knowledge graph, supporting a variety of other projects, including the dataset recommendation system and GES-DISC GraphRAG.
Kaylin Bugbee, team lead of NASA’s Science Discovery Engine (SDE), spoke to the benefit INDUS offers to existing applications: “Large language models are rapidly changing the search experience. The Science Discovery Engine, a unified, insightful search interface for all of NASA’s open science data and information, has prototyped integrating INDUS into its search engine. Initial results have shown that INDUS improved the accuracy and relevancy of the returned results.”
INDUS enhances scientific research by providing researchers with improved access to vast amounts of specialized knowledge. INDUS can understand complex scientific concepts and reveal new research directions based on existing data. It also enables researchers to extract relevant information from a wide array of sources, improving efficiency. Aligned with NASA and IBM’s commitment to open and transparent artificial intelligence, the INDUS models are openly available on Hugging Face. For the benefit of the scientific community, the team has released the developed models and will release the benchmark datasets that span named entity recognition for climate change, extractive QA for Earth science, and information retrieval for multiple domains. The INDUS encoder models are adaptable for science domain applications, and the INDUS retriever models support information retrieval in RAG applications.
A paper on INDUS, “INDUS: Effective and Efficient Language Models for Scientific Applications,” is available on arxiv.org.
Learn more about the Science Discovery Engine here.
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Last Updated Jun 24, 2024 Related Terms
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