Case Study
CrowdBots – Using hybrid intelligence to extract value from smaller datasets in biomedical…
When artificial intelligence (AI) is unable to achieve required accuracy levels in biomedical analysis involving very large data sets, the models are often discarded and the research is severely hindered. To solve this problem we created a crowd-powered citizen science game, Stall Catchers, to integrate the cognition of public volunteers with AI methods to achieve rapid, expert-like analysis of Alzheimer's research data aimed at accelerating the discovery of a therapeutic treatment.




