Project Discovery
Project Discovery is the first citizen science mini-game perfectly integrated in a Massively Multiplayer Online Game. In the first iteration, EVE Online players looked at high-resolution images of human cells and categorized protein patterns. In the second iteration, players are looking for exoplanets. Project Discovery is a collaboration between Massively Multiplayer Online Science, Reykjavík University, CCP and the Human Protein Atlas.
midcore | classification | biology | computer (client)
Articles
Project Discovery: Lessons From Scientific Research in EVE Online
In the GDC 2017 talk, MMOS Srl’s Attila Szantner and CCP’s Bergur Finnbogason tell the story of how citizen science project Project Discovery and how EVE Online players generated over 20 million protein location classifications, […]
EXOPLANETS: THE NEXT PHASE OF PROJECT DISCOVERY
More science will be added to the game EVE Online: players will soon be given tools to look for exoplanets, using data from the CoRoT telescope. Find more about the hardcore science on the dev’s […]
EVE Online’s foray into citizen science “the first of many”
CCP Games will continue to integrate citizen science research projects into EVE Online, following an enormously successful collaboration with the Human Protein Atlas and Massively Multiplayer Online Science (MMOS). Read the full article by Matthew […]
Wired, on citizen science games
Sea Hero Quest game aims to diagnose dementia by testing navigation skills By AMELIA HEATHMAN, 17 November 2016 2.4 million people have downloaded the app created by neuroscientists to help them understand dementia. Hilary Evans, […]
How Eve Online players are helping medical science
How Eve Online players are helping medical science The Human Protein Atlas is a scientific research program whose goal is to map the human proteome. With this information medical science can better explain the biological […]
Publications
The results from Project Discovery in EVE Online, publised in Nature Biotech
Deep learning is combined with massive-scale citizen science to improve large-scale image classification Abstract: Pattern recognition and classification of images are key challenges throughout the life sciences. We combined two approaches for large-scale classification of […]