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29 Apr2016

You Say You Want Transparency and Interpretability?

By |April 29th, 2016|

  We keep hearing and saying that in order to implement and correctly use machine learning and predictive models, they must be transparent and interpretable. That makes sense. You don’t want a black box model [...]

24 Sep2014

What can non-profits learn from social media targeting done by the Obama 2012 Campaign?

By |September 24th, 2014|

[Cross-posted on the Edgeflip blog] We’ve all been there when designing a social media strategy – post something on Facebook or Twitter and see what happens. Oftentimes, this leads to more questions than answers: Who [...]

22 Aug2013

One-to-One (Personalized) Public Policy

By |August 22nd, 2013|

One of the primary reasons I joined University of Chicago was the chance to be at the intersection of Computation, Data, and Policy, and work on large-scale social problems that lead to an impact on [...]

13 Jul2013

Is Data Science a Real Science?

By |July 13th, 2013|

Many people, including myself, often say that if a “science” has the word science in it, it‘s probably not a real science. Computer Science, Political Science, Social Science, Rocket Science…Although there’s probably some truth to [...]