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Challenges
All challenge pages are listed below; every challenge has sections titled "Background", "Solutions", and "Resources". Each of these challenges has a Museum stakeholder listed as the owner and with primary goals that help them expand their work and research. Look for the Museum stakeholder on Friday night to meet them and learn about their challenge(s), and discuss with them on the Slack channel!
The Background describes the problem(s) that the challenge is attempting to solve and overall goals.
Each challenge proposes several Solutions which a team of 5 or more people could successfully build a working prototype or a proof of concept of during the hackathon.
Lastly, the Resources section contains links to relevant datasets, documentation, formats, or downloads of sample files specifically for the solutions to that challenge. Sample files are often included in this GitHub repository (<> Code tab above), under the "challenges" directory, in a sub-directory named for the challenge - however, some datasets are only available directly from a hard drive due to restrictions on widely publishing the data. Please ask hackathon organizers if you're looking for data from hard drives! More data may also be available by directly asking the Museum stakeholders; they may think of more datasets or provide better data as you discuss their challenge with them and work on it.
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Meteorite Mineral Mapping: Experiment With Technologies to Identify the Mineral Composition of Meteorites Pixel by Pixel. {Marina Gemma} and {Samuel Alpert}
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Track The Stardust: Automate the Segmentation of the Tracks Dust Particles Make in Aerogel. {Kim Fendrich}
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3D and 2D Bubbles In Rock: Use Computer Vision and Machine Learning to Discover and Segment Chondrules in Meteorites. {Denton Ebel}
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Drilling Into Earth's Past: Experiment With Technologies to Identify the Mineral Composition of Earth's Crust and Mantle Pixel by Pixel. {Rebecca Greenberger} and {Saebyul Choe}
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Partly Cloudy Skies on Earth and Mars: Build a Prototype Server System that Gathers Satellite Data and Incorporates Daily Planetary Weather into OpenSpace. {Micah Acinapura}
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See Our Sun: Use Collected Image Data to Create Projection Maps of the Sun in OpenSpace. {Micah Acinapura}
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A Mixed Reality Solar System: Experiment with Multi-User Mixed Reality Experiences to Educate Others About the Solar System. {Nick Bartzokas} and {Yvonne De La Pena}
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The Storms of Jupiter: Create Software Tools That Help Us Understand Jupiter's Atmospheric Flow. {David Lindo}
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The Hidden Face of Venus: Adapt the Open Source NASA Ames Stereo Pipeline for Radar Stereo Images {Micah Acinapura}
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The Women of Space Science: Tell the Story of a Prominent Female Scientist, Explorer, or Researcher in Earth and Planetary Sciences or Astronomy. {Gabrielle Rabinowitz}
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Teach the Solar System: Help High School Students Explore the Solar System While Developing Their Computational Thinking Skills. {Yvonne De La Pena}
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