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Predictive intelligence; Using Gamification to predict disease spreadPresentation Transcript
Predictive Intelligenceusing Game Theory to predict disease spread
Introduction• About Me – 20+ Years in technology – Multi-Patented inventor – Transhumanist (H+) – Adult learning expert• B2i Ventures – Kansas City – Work+Life+Play – Online universities – Technology strategy – Startup product evangelists – Gamification (Human performance improvement) Play for the future
What is gamification? The tipping point • Broad term • marketing • Game design • Game theory • Game mechanics • Technology • Communication • Crowds • participatory • Intrinsicpic: map of the Internet 2012
Game Theory: The birth ofpredictive intelligence• game theory analyzes what should happen given what players desire. Spaniel, William (2011-07-18). Game Theory 101: The Basics (Kindle Location 82). . Kindle Edition.• Game theory informs us of the most likely outcome of an individual or collectives actions through the measured analysis of variance• The Payoff? Systematic intelligence engines that can predict likeliest outcomes of any scenario
Game Design: The implementationof the system • Game Design typically begins with the modification of a typical system • Example: modify the Cdc/who process
Building the networkSIMILIA SIMILIBUSCURANTUR
‘likes are cured by likes’ ’Disease is: Information is: – Viral – Viral – Intelligent – Intelligent – Networked – Networked – Localized – Global – Predictable – Predictable Technology; properly deployed – is the next line of defense in the war of disease.
How disparateinformation saveslives• Social sharing is now a global pursuit• Data is cheaper to store• Smart is getting smarter• Citizen journalism is progressive
Predictive Intelligence: The socialgenome• Primitive systems of predictive intelligence surround us – Lottery – Sports – Gambling – Future crime• Advance systems will need to learn ‘critical thinking’ skills to eliminate false positive signals corrupting the equation• Cold tech, qbit (quantum) and the ‘internet of
conclusions• Requisite Technology is pervasive but still elusive• Computers must be trained to mimic the physicians process• Electronic records must be anonymous• Information must be free