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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 research.
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.
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Untold Stories of Women in Science: Tell the Story of a Prominent Female Scientist, Explorer, or Researcher from the Museum {Christine Johnson}
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Stinger Inspector: Use Computer Vision and Machine Learning to Reclassify Cnidarians. {Estefania Rodriguez and Luciana Gusmão}
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Virtual Fossil Fragmenter: Use Computer Vision and 3D Modeling to Identify Fossil Fragments of Shells, Bivalves, Trilobites. {Melanie Hopkins}
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Iron Out the Kinks: Create Tools to Automate Rendering 3D Models of Marine Microbes from 2D Cross-sections. {Eunsoo Kim and Aaron Heiss}
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The Eye of Maria: Create Animations and Interactive Tools to Understand the Motion of Sailing Objects in the Vicinity of a Hurricane. {David Lindo}
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Map The Collections: Georeference Collections Specimens to Visualize Expeditions and Ecosystems in Space and Time. {Christine Johnson}
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Trilobite Bits: Use computer vision to count the segments of or identify other characteristics of trilobites. {Melanie Hopkins}
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Find The Plastic Flow: Map, Animate, and Quantify Sources and Travel Times of Plastic Found in the Gyres of The Great Pacific Garbage Patch. {David Lindo}
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Painting the Ocean: Design Software or Tools that Identify the Path of a Particle or an Oil Spill Using Imagery. {David Lindo}
Challenges --|-- Online Resources And Data Sets --|-- Code of Conduct --|-- Home
- Untold Stories of Women in Science
- Stinger Inspector
- Virtual Fossil Fragmenter
- Iron Out the Kinks
- The Eye of Maria
- Map The Collections
- Trilobite Bits
- Find The Plastic Flow
- Painting the Ocean
- Estefania Rodriguez and Luciana Gusmão
- Melanie Hopkins
- Christine Johnson
- Eunsoo Kim and Aaron Heiss
- David Lindo