Potential science mini games for humanity

I recently found a great crowd-sources science analysis site. https://www.zooniverse.org/projects/zooniverse/gravity-spy/classify

Whats cool is most of the analysis comes in the form of easy repeated task mini games for identifying particular patterns or objects. This could be a great way to incorporate massive content in the form of repeated tasks and scan data while rewarding players with in game goods (materials, credits etc.) I would love to see Elite augmented with this type of feature that offers useful fun while playing in space!
 
In zooniverse there are a lot of scientific projects that can be perfectly integrated in Elite Dangerous, e.g. collect samples of flora on planets and then analyze them as a mini-game in the own laboratory on the ship, there are currently 55 scientific Biology-projects (https://www.zooniverse.org/projects?discipline=biology) which can be integrated via open API. Then there are of course also scientific projects on the subject of space and physics (https://www.zooniverse.org/projects?discipline=astronomy), which could be used for mapping in order to upgrade your own FSS / DSS scans with a mini-game . At the same time, as a community, we support projects that help real scientists with their work. That such integration works successfully as a mini-game can be seen at EVE-Online. I would love it!


classify Dark EnergyAbout the project - brief description
1635327216690.pngThe Hobby-Eberly Dark Energy Experiment (HETDEX) is designed to find over one million galaxies that are 9 billion to 11 billion light-years away, yielding the largest map of the universe ever produced. The map will allow HETDEX astronomers to measure how fast the universe was expanding at different times in its history. Changes in the expansion rate will reveal the role of dark energy at different epochs. Various explanations for dark energy predict different changes in the expansion rate, so by providing exact measurements of the expansion, the HETDEX map will eliminate some of the competing ideas. We need your help to identify the signals that are from distant galaxies.
https://www.zooniverse.org/projects/erinmc/dark-energy-explorers



Radio Galaxy Zoo: LOFARAbout the project - brief description
1635327313822.pngThe LOFAR project offers us an unprecedented view of what our skies look like at radio wavelengths. Never before have we been able to map such a large part of the radio sky at such high sensitivity. In order to prepare this new data for effective research, we first need to make an inventory of everything that we are seeing.
Much of this can be done automatically using sophisticated algorithms. But to date, we have yet to develop an algorithm that is better at identifying shapes than our very own human eyes. The most complex (and therefore interesting) objects still need to be identified by people. Because of the sheer amount of sources that need to be classified, it is not realistic for scientists to do this all on their own. That is where you and the team of Zooniverse volunteers come in!
Will you help astronomers sort through this fascinating, state of the art radio data? Who knows, maybe you’ll be the one to discover something new...
https://www.zooniverse.org/projects/chrismrp/radio-galaxy-zoo-lofar



Planet Hunters TESSAbout the project - brief description
1635327604344.pngWelcome to Planet Hunters TESS. With your help, we can discover new planets around stars outside of our own Solar System!
The recently launched Transiting Exoplanet Survey Satellite (TESS) is providing us with a huge amount of data that lets us look for planets outside of our own Solar System. Over the next two years TESS will be busy surveying two-hundred-thousand bright nearby stars, measuring and recording their brightness every two minutes. With your help, we hope to uncover lots of interesting planetary systems, allowing us to explore the formation and evolution of these worlds. Our findings may even bring us one step closer to answering the question that we all seek to answer: Are we alone in the Universe?
You could be the first person to discover a planet around a nearby star in the Milky Way! Want to give it a try?
https://www.zooniverse.org/projects/nora-dot-eisner/planet-hunters-tess



mapping biodiversity atlasAbout the project - brief description
Screenshot 2021-10-27 114735.pngImagine a searchable, public atlas showing where animals, plants, and fungi have been found and collected. This map focuses on the meeting place of three of the world’s largest terrestrial ecosystems: eastern broadleaf forests, tallgrass prairies, and coniferous forests. This map also represents moments in history before key changes occurred to the landscape, environment, and climate. What’s most exciting, scientists will use the data in this atlas to forecast where ecosystems and their associated species may be found in the future.
Your help is needed to build this atlas! Transcribe data from hand-written museum specimen labels to map biodiversity in the Midwestern US, where we sit on the cutting edge of climate change. The data you transcribe will become part of the Minnesota Biodiversity Atlas, the permanent digital record of the Bell Museum of Natural History's collections.
https://www.zooniverse.org/projects/zooniverse/mapping-change



New Particle Search at CERNAbout the project - brief description
1635348878890.pngCitizen scientists will be guided step-by-step to visually interact with and analyse data from the ATLAS experiment at the LHC. In this way, they will be directly involved in potential discoveries without requiring any high-level computing skills. Tasks such as the identification of displaced vertices and converted photons are non-trivial, and therefore, complex algorithms (including machine learning and neural networks) are usually employed. However, they may be easy for a human to perform and in this project we would like to determine if this is the case. This could help us fine-tune and possibly improve certain aspects of our algorithms.
https://www.zooniverse.org/projects/reinforce/new-particle-search-at-cern/classify





SuperWASP: Black Hole HuntersAbout the project - brief description
1635348987938.pngBlack holes and neutron stars (referred to as ‘compact objects’) are the end-products of stars which are at least eight times more massive than our Sun, and which die in a violent super-nova explosion. Unlike our Sun, the vast majority of stars live with a companion in a binary (though triple systems are also common). Should the supernova explosion -- which leaves behind the neutron star or black hole -- not tear the binary system apart, then we’re left with a compact object and ‘normal’ star orbiting around their common centre of mass. Over a very long period of time, the orbital separation of the binary can shrink and the compact object can accrete material from the companion star. This phase of accretion is only a very small fraction of the system’s lifetime, but has allowed us to locate ~30 binary systems containing black holes and 100-200 containing neutron stars. However, these numbers are dwarfed into insignificance when we consider that computer-based simulations of our Galaxy predict hundreds of thousands of binary systems should be present but not actively accreting. These black holes and neutron stars are surely out there, but how do we go about finding them?
https://www.zooniverse.org/projects/hughdickinson/superwasp-black-hole-hunters/classify/




Etch A Cell - ERAbout the project - brief description
1635349515193.pngThe science team behind Etch A Cell are based at the Francis Crick Institute in London, UK. There they work with many other researchers to study different aspects of biology using cutting-edge Electron Microscopes. These microscopes have a very high magnification and resolution, and so can be used to take highly-detailed images of many things, including cells, molecules and tissues. These images can be used to provide us with a richer understanding of biology, which can help us understand the biological changes associated with health and disease.
https://www.zooniverse.org/projects/h-spiers/etch-a-cell-er/classify
 
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