The proliferation of publicly accessible real time data streams has given us a new substrate to create compelling visualizations. We can now map the public’s thoughts, opinions, and beliefs across time and space. This has lead to a renaissance in cartography, but we still use classical techniques to analyze the data fueling our beautiful maps. The answers we generate with real time data are currently snap shots in time that loose their currency as soon as they are generated. How do we coax our analysis into keeping up with our data?
Crowdsourcing made us embrace data fluidity and disrupted the market. What now happens when your analysis become fluid – creating new answers as the global pulse shifts across billions of interconnected devices? How do we handle an ever changing sample size that is unevenly distributed across geography and time? Academia, large corporations and start ups are all starting to make forays into a world were analysis can no longer be a batch job. We’ll cover those endeavors and dig into some case studies on how the spread of the Arab Spring was analyzed and how Pepsi’s managed real time reaction to their Superbowl advertisements as examples of real time analysis in action.
I’m currently the founder of GeoIQ – a collaborative web platform for geographic data analysis. GeoIQ is largely the fusion of a variety of interests and experiences in geography, GIS, infrastructure, physics, statistical mechanics, and generally making the world of data (especially the geospatial variety) available to the masses. Previously I was in academia as a post doc and grad student at George Mason University and before that the University of Florida.
In between I worked for a couple of start ups in the DC area building online communities, Geo-IP location, and mapping telecom infrastructure. Randomly all three play a small role in the current endeavor.
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