Given that 39.6 million submissions have been amassed since the project’s launch, it’s safe to say that EVE Online’s players have answered the call to arms in the fight against COVID-19. When the project was launched, the main aim was to teach you how to demarcate unique populations in flow cytometry graphs while sending the end result of your efforts, the analyzed graphs, to CCP’s partners at UNIMORE, MMOS, McGill, and the University of British Columbia who would then use that data to understand COVID-19 better. When that cannot be easily determined, try to mirror each cluster off the other and draw a separating line through the middle of the mirror. Players can engage with Project Discovery in EVE Online via a mini-game in which they will use a tracing tool to mark groups of cell populations present in blood, thereby helping scientists in understanding how different cell populations and types are altered through infection. That included removing the tick marks, which matters because all the plots we’ve been given are mapped on logarithmic axes. The accuracy of their analyses is very high, which demonstrates the extraordinary attention that is paid to what is actually not just a game but a real fight against COVID. Comet plots aside, it is also important to address the Type B graphs and how those can be better clustered. Thank you all!” - … Project Discovery: Human Protein Atlas; Project Discovery: Exoplanets; Project Discovery: Flow Cytometry So how does this impact Capsuleer clustering? Essentially, Project Discovery is an in-game mechanic, where players - when they're not mining asteroids, blasting rival spaceships, or warping across star systems - can participate in mini-games that include visualizations of human cell samples. COVID-19 continues to ravage hundreds of thousands of people across the globe, with over 200,000 deaths in the United States alone, and the Eve Online community is undoubtedly generating work that could create a major breakthrough in understanding such a new and deadly disease. Think of these as rogue cells, vying to break free from the larger cluster. Thank you all!” - MMOS CEO and co-founder Attila Szantner. “This project is crashing through all my expectations, with players continuing to show great engagement and interest in the work we are doing, as well as providing huge amounts of high-quality data for our research. In this case, just demarcate the bottom smear by aligning your polygon with the lower end of the opposite smear. Dr. Ryan Brinkman, Professor of Medical Genetics at the University of British Columbia and one of the scientists working with Project Discovery, said of the Eve Online community: “Their efforts will not only contribute to the understanding of COVID-19, but the data they are generating will also be freely and widely shared with the entire scientific community. While Project Discovery participants have produced invaluable flow cytometry data over the past three months, after our scientific partners compiled your submissions and looked them over with their decades of laboratory experience, they have now issued a challenge for you to produce even more accurate graphs. However, you’ll notice that there is a cluster of data points sort of sliding off of the high-density area. Instead, think of these samples like comets, where you’re trying to separate the tail of the comet from its body. They need to be categorized as a separate group accordingly. Players will also be rewarded for their participation with in-game content. Type A samples are also tricky to interpret because of a design choice made at CCP in tandem with MMOS and the scientists, namely, to remove the interval marks on either side of the plot. That said, it was always known that at some point in time the approach would need to be refined, and it turns out that that time is now. Don’t change your approach for these. There is simply no other resource out there for this anywhere close to what is now being generated.”. Their efforts will not only contribute to the understanding of COVID-19, but the data they are generating will also be freely and widely shared with the entire scientific community.