Michael Wu: The Science of Gamification

Watch Full Program

The Gamification Summit





MORE >>

Post to

Likes

Dislikes

RATE

1,010 Views

Info
Bio
Chapters
Preview
Download
More

Partner:: Gamification Summit
Location:: The Museum of Jewish Heritage
New York, NY
Event Date:: 09.16.11
Speaker:: Michael Wu
Tags:: social media; gamified; gamify; gamification

Summary: The Science of Gamification: Unlocking the Hidden Motivational Power of Gamification

Michael Wu, Lithium Technologies

Michael Wu explains his research into the science of gamification and online communities. With a PhD in Biophysics from UC Berkeley and three years examining the complex systems of social media at Lithium Technologies, Wu has gained extensive experience in the new science of engagement. He shares the potential and pitfalls of applying the science in this design intensive.

The Gamification Summit brings together top thought leaders in game mechanics and engagement science. Hear what works and what doesn't in this dynamic and fast-moving field through case studies, keynotes and panels delivered by experts such as Gabe Zichermann (Game-Based Marketing), James Gardner (Spigit), Jon Radoff (Disruptor Beam), Michael Wu (Lithium) and Alexandra Wilkis Wilson (founder of Gilt Groupe). Learn how game mechanics and the new science of engagement are rewriting the rules of brand marketing, product design and customer acquisition and get your business in the game.

Bio

Michael Wu

Michael Wu is the Principal Scientist of Analytics at Lithium Technologies Inc. Michael received his Ph.D. from UC Berkeley�s Biophysics graduate program. His graduate research focuses on modeling the human brain, specifically the visual cortex, with techniques from math, physics, statistics, and machine learning.

Currently, Michael is applying similar data-driven methodologies to investigate and understand the complex dynamics within online communities as well as the greater social web. Michael has developed the Community Health Index (CHI) and many predictive social analytic algorithms that bring Lithium closer to its vision of �one portal to manage the entire social web.� Michael�s R&D work at Lithium has won him the recognition as a 2010 Influential Leader by CRM Magazine.

Michael has been a DOE fellow during his graduate career and was awarded 4 years of full fellowship plus stipend under the Computational Science Graduate Fellowship. During his fellowship tenure, he has also served at the Los Alamos National Lab, conducting cutting edge research in machine learning and face recognition. Prior to his graduate research, Michael received his undergraduate degree from UC Berkeley triple majoring in Applied Math, Physics, and Molecular & Cell Biology.