Tuesday, May 21, 2013
Howard & Jan Oringer Seminar
Solving Hard Problems in Science and Education with Game-Based Expert Development
Zoran Popović, Director, Center for Game Science, Computer Science and Engineering, University of Washington
Recently, a group of people without any chemistry background played the game Foldit and resolved a protein problem that stumped scientists for over 12 years. They did it in ten days. This talk focuses on the methods and processes that lead to the emergence of these new experts, and the resulting human-computer symbiotic computational architecture capable of solving open scientific problems. I will show how this new method of problem solving is currently applied to a wide range of important problems ranging from drug discovery to solving open problems in synthetic biology, and even to removing all security threats from mission-critical software. I will also show how the same framework can maximize mastery in early math education by turning the collective learning process into a data driven reinforcement learning process, capable of achieving mastery of basic algebra by up to 90% of second and third graders.