My professional goal is to help construct a huge-scale, fine-grained simulation of the economy based on continually updated micro data, survey results, and any other available data.
The basic steps to doing so are:
-identify the necessary model and parameters
-find methods to enable and perform estimates of their values
-engineer systems to run and automatically update the simulation
Since this is a hefty task and my background is in biology and economics, not computer science, I figure I should focus on the first two steps. But this still leaves broad areas to focus on including macro, microeconometrics, survey research, experimental/behavioral, in addition to agent-based/complexity, which isn't really taught in the US. But that is very attractive, since the finished product will likely be a discrete event simulation.
Does anyone know of schools that would be friendly to my interests and a good fit?
Thanks in advance.
I'd give either the UTexas econ or business econ PhD a look, and include in them a portfolio is scientific computing from the statistical and scientific computing department. Also, UTexas is looking to put together a big data center for poli sci/econ/etc., so this is up that ally.
I'd also see if Carnegie Mellon or Case Western Reserve has any programs that meet your goals.
I know I plug for UTexas a lot on this forum, but that's mainly because that is where my graduate experience is. Other departments may well suit your interests also.
Servere est vivere. Vivere est vincere.
Michigan does data hard too, and has Scott Page (he does some crowds and networks stuff, but is not a "creative macro" sort -- still, his presence at least suggests you should look through their faculty list).
Your greatest opportunity for learning in life, both personally and professionally, will be to imitate exceptional people. My advice is to get as close as you can to them and try to do small justice to their example.
There are currently 1 users browsing this thread. (0 members and 1 guests)