The flight between Denver and Orlando will last about three hours. That time has been earmarked to work on an economics related paper. Today is the day to write a rough draft. The paper does not have a title yet, but the theory has shown some promise. I’m thinking about calling the new algorithm the econ-o-swarm. Writing the majority of a paper during a 3 hour window will be challenge. Now is the time to set a timer and see what happens. Sometimes a little bit of pressure can help push things forward.
Buying a Chromebook might happen during this trip. The battery life on my HP Envy X2 is just not holding up anymore. The unit has both a battery in the keyboard and in the tablet component. Between both of those full sized batteries I’m not getting a full day worth of usage. During the first two hours of this flight the tablet has chewed through 33% of the units total battery power. The device should be capable of more than 6 hours of usage. All I really do with the device is write and read a few webpages. Some of the Chromebooks I have looked at recently sport 11-12 hours of battery life.
Getting to the airport was the easy part of the journey. Dealing with John Paul during a 3 hour airplane flight will be the hard part. Getting a 3 year old to sit still for 3 hours is nearly impossible. John Paul really seems to like airports and airplanes.
Paper Title: Economic micro-targeting extrapolation of macro-level demographic statistics
Abstract: ~192 words (<250 required)
Even after the advances in modern computing, a dearth of near real-time economic models exist within the literature. However, nascent research on micro-targeting has shown promise. Using Bayesian inference to fill in gaps from data mining social networks allows for advanced micro-targeting of individual spending preferences. Micro-targeting within a macro level economic model is now possible. It is now time to utilize a sophisticated algorithm to aggregate a series of micro-targeted models to describe a macro level condition. Begin building the model by collecting the economic transaction of a single person. Each transaction gets added to a list. By collecting several days of transactions the spending patterns of that individual person could be modeled. Collecting data on a number of individuals would increase the sample size to be representative. Now imagine for a moment all of those individual models were tied back to demographic data. That demographic data ties back to represent the economy as a whole. Individual economic behavior is being modeled, but it is being applied to a very macro level. Within this paper a model is introduced to engage in extrapolation of macro-level demographic statistics from micro-targeted data mining.