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{{merge from|Topcoder Open|discuss=Talk:Topcoder#Proposed merge with Topcoder Open|date=June 2018}}
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=== Mozilla ===
In 2018 [[Mozilla]] has partnered with Topcoder to run a data science challenge devoted to automatic triaging of bugs in a [[Bugzilla|bug-tracking system]] with help of [[Artificial intelligence|AI]] methods.<ref>{{Cite web|url=https://medium.com/mozilla-open-innovation/https-medium-com-mozilla-open-innovation-automatic-bug-triagig-challenge-b0a5f0031925|title=Taming triage: Partnering with Topcoder to harness the power of the crowd|last=Ivanov|first=Eugene|date=October 10, 2018|website=Medium|archive-url=|archive-date=|dead-url=|access-date=October 13, 2018}}</ref><ref>{{Cite web|url=https://www.topcoder.com/community/data-science/mozilla-bugzilla-data-science-Match|title=$19000 Mozilla/Bugzilla Automatic Triaging of Bug Reports Data Science Match|last=|first=|date=|website=Topcoder Community|archive-url=|archive-date=|dead-url=|access-date=October 13, 2018}}</ref>
=== NASA ===
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In another challenge, Topcoder community helped NASA and [[National Geographic]]'s explorer [https://www.nationalgeographic.org/find-explorers/explorers/4642934E/albert-lin Albert Lin] to develop an algorithm to identify human-build structures in [[Genghis Khan]]'s homeland.<ref>{{Cite news|url=https://www.prnewswire.com/news-releases/topcoder-teams-with-nasa-and-national-geographic-emerging-explorer-albert-lin-to-create-a-powerful-algorithm-that-identifies-human-built-structures-in-genghis-khans-homeland-223508431.html|title=TopCoder Teams with NASA and National Geographic Emerging Explorer Albert Lin to Create a Powerful Algorithm that Identifies Human-Built Structures in Genghis Khan's Homeland|last=|first=|date=September 12, 2013|work=CISION. PR NewsWire|access-date=April 6, 2018|archive-url=|archive-date=|dead-url=}}</ref><ref>{{Cite news|url=http://chei.ucsd.edu/2013/09/13/calit2-research-scientist-albert-lin-teams-with-topcoder-nasa/|title=Calit2 Research Scientist Albert Lin Teams with TopCoder, NASA|last=Ramsey|first=Doug|date=September 13, 2013|work=CHEI|access-date=April 10, 2018|archive-url=|archive-date=|dead-url=}}</ref>
In 2014, Asteroid Data Hunter, Asteroid Tracker, and many other challenges were carried on to develop better algorithms for asteroids detection in space images.<ref>{{Cite news|url=https://www.nasa.gov/content/asteroid-data-hunter-challenge-0|title=Asteroid Data Hunter Challenge|last=|first=|date=March 17, 2014|work=NASA|access-date=April 6, 2018|archive-url=|archive-date=|dead-url=}}</ref><ref>{{Cite news|url=https://sservi.nasa.gov/articles/asteroid-data-hunter-app/|title=Asteroid Data Hunter App|last=|first=|date=|work=Solar System Exploration Research. Virtual Institute.|access-date=April 6, 2018|archive-url=|archive-date=|dead-url=}}</ref><ref>{{Cite web|url=https://github.com/PlanetaryResources/NTL-Asteroid-Data-Hunter|title=NTL Asteroid Data Hunter|last=|first=|date=|website=GitHub|archive-url=|archive-date=|dead-url=|access-date=}}</ref><ref>{{Cite news|url=https://astronomynow.com/2015/03/16/download-nasas-asteroid-data-hunter-software-and-help-save-the-planet/|title=Download NASA's
In 2015, the Topcoder Data Science community was challenged by NASA, [[QuakeFinder|Quakefinder]], [[Harvard innovation lab|Harvard Crowd Innovation Lab]], and [[Amazon Web Services]], to come up with an algorithm that finds correlations between ultra-low frequency electromagnetic signals emanating from the earth, and subsequent moderate and large earthquakes.<ref>{{Cite news|url=https://www.topcoder.com/blog/make-a-difference-win-prizes-in-nasas-quest-for-quakes/|title=Make a Difference, Win Prizes in NASA's Quest for Quakes|last=|first=|date=July 22, 2015|work=Topcoder Blog|access-date=April 6, 2018|archive-url=|archive-date=|dead-url=}}</ref><ref>{{Cite news|url=https://phys.org/news/2015-07-nasa-hosts-quest-quakes.html|title=NASA hosts "Quest for Quakes" data challenge|last=|first=|date=July 27, 2015|work=Phys.org|access-date=April 6, 2018|archive-url=|archive-date=|dead-url=}}</ref>
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