Citizen Science

The citizen science apps for Space Messengers focus on helping scientists studying and/or monitoring earth or outer space. The fields of study are related to the workshop speaker topics to delve deeper into the science that was introduced; astrophysics, aerospace, particle physics,etc. Each app was field tested by our team for easy and fun access.

NeMO-Net

NeMO-Net is a single player iPad game where players help NASA classify coral reefs by painting 3D and 2D images of coral. Players can rate the classifications of other players and level up in the food chain as they explore and classify coral reefs and other shallow marine environments and creatures from locations all over the world!

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Backyard worlds: Planet 9

We need your help searching for new objects at the edges of our solar system. In this project, we'll ask you to help us distinguish real celestial objects from image artifacts in data from NASA's Wide-field Infrared Survey Explorer (WISE) mission. The real objects are brown dwarfs and low-mass stars, the Sun's nearest neighbors. You may find an object closer than Proxima Centauri (the closest star to the Sun) or even discover the Sun's hypothesized ninth planet, which models suggest might appear in these images.


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Spiral Graph

The ability of the human brain to find and process patterns is far superior to any computer. Spiral patterns in disk galaxies are easily seen and followed by people but computer algorithms have a harder time determining where spirals begin and end, especially if they aren't continuous. That's where you come in! By tracing the spiral arms you see in galaxy images, you are giving our computer algorithm a boost so it can accurately measure how tightly wrapped the structure is.

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Space Fluff

Help unravel the secrets of the fluffiest objects in the universe! There is a mysterious group of galaxies up there, hiding in darkness. They are faint, small (for galactic standards of course), and battered by spending eons being robbed of their gas and stars. And yet, they can teach us the secrets of dark matter and of galaxy evolution. Help to identify those pesky objects and artifacts that our algorithms can't differentiate from
galaxies. Knowing what these objects look like will allow us to better our model and will also give a powerful contribution to science.

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