Looking at questions through the [algorithmic lens](http://egtheory.wordpress.com/2013/09/15/algorithmic-lens/) (i.e. from an algorithmic or complexity point of view) has become useful in disciplines outside of the 'standard domain' of computer science. In particular CS has made an impact on biology through computational biology, on physics through quantum information processing, and AI and complexity theory seem to regularly interact with neuroscience. The natural sciences seem relatively comfortable with TCS.

Thus, my question is in regard to the impact of TCS on the [social sciences](http://en.wikipedia.org/wiki/Social_sciences).

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I am vaguely aware of the impact of algorithmic thinking on economics (through game theory). In fact algorithmic game theory is now a part of the 'standard domain' of TCS, so lets exclude AGT answers unless they specifically altered existing theories in the social sciences. 

Another example I recall is from linguistics in the learnability vs. innateness of grammar (i.e. [poverty of the stimulus](http://en.wikipedia.org/wiki/Poverty_of_stimulus)) debate. Gold's theorem about the unlearnability of context free grammars provided a strong argument for innate-ness and helped convince some skeptics (I am not sure if this is still valid, since SCFG seem to be learnable). I am more interested in examples of this type, where TCS thinking helped change or shape existing theories in the social sciences.

References to books/surveys are appreciated.