Human-Machine Superintelligence Can Solve the World's Most Dire Problems
January 4, 2016 | Human Computation InstituteEstimated reading time: 2 minutes
YardMap allows participants to interact and build on each other's work - something that crowdsourcing alone cannot achieve. The project serves as an important model for how such bottom-up, socially networked systems can bring about scalable changes how we manage residential landscapes.
HCI has recently set out to use crowd-power to accelerate Cornell-based Alzheimer's disease research. WeCureAlz.com combines two successful microtasking systems into an interactive analytic pipeline that builds blood flow models of mouse brains. The stardust@home system, which was used to search for comet dust in one million images of aerogel, is being adapted to identify stalled blood vessels, which will then be pinpointed in the brain by a modified version of the EyeWire system.
"By enabling members of the general public to play some simple online game, we expect to reduce the time to treatment discovery from decades to just a few years", says HCI director and lead author, Dr. Pietro Michelucci. "This gives an opportunity for anyone, including the tech-savvy generation of caregivers and early stage AD patients, to take the matter into their own hands."
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