Snark aside, I'm definitely interested in whether or not this field will have impacts on future policy. In order to be useful I feel it would have to actively avoid simplifying assumptions that have trapped similar fields.
In the private sector however, companies such as Premise and Palantir are already eons ahead of academia, but their insights and data are proprietary.
The non-fictional equivalent.
https://en.wikipedia.org/wiki/Computational_social_science
There are many universities like Stanford, Cornell and Columbia which have dedicated working groups for Computational Social Science.
https://iriss.stanford.edu/css
http://as.cornell.edu/block/computational-social-sciences
http://datascience.columbia.edu/computational-social-science
I'm quite happy to see this on HN. Like many other disciplines, our field is blossoming with the rise of cheap, high performance computing!
If your involved in this field and on HN, please reach out to me at @generativist on twitter. I'm in the process of setting up a community for CSS work, and will be soliciting feedback soon!
Can you give more details (accessible to programmers rather than social scientists) how that'd work, what do you actually model and aim to find out? Sounds pretty interesting.
Could it replace economy as the main driver of politics and policies?
A barrier to increase its use in policy-making is the "science-policy gap" between researchers and decision-makers. Either they don't understand the utility of model results and dismiss them or they trust them too much--both is not good. So researchers had to come up with ways to communicate results, often include decision-makers (and other stakeholders) in the modeling process.
Recently a nice animation of his dynamic models of segregation processes was posted here: http://ncase.me/polygons/
[1] http://cress.soc.surrey.ac.uk/web/home