Posts

Archive of posts with the tag

  • What we learned about using data to generate custom content

    A year ago, I was struggling to choose between offers to study journalism or computational analysis and public policy. I ultimately chose computational analysis and public policy as I was excited by the prospect of learning about the frontiers of data and policy. I quickly developed a fascination with civic hacking and the open government movement. Aspiring to use my data science skills for social good and to return eventually to journalism, I applied for...

    Continue Reading

  • Fact checking Chicago Public Schools using algorithms, statistics and data mining

    Some students take it easy for the spring semester of their senior year; I loaded up on Introduction to Algorithms and Statistical Methods for Data Mining. The stats class covered theoretical foundations for data mining techniques like logistic regression and neural networks and finished with an open-ended group project assignment. As it happened, the class coincided with Chicago Public Schools' decision to close 49 schools. The move drew ferocious criticism from community groups (including the...

    Continue Reading

subscribe via RSS