On November 16, prior to the 2017 Peter Stuyvesant Ball, the Netherland-America Foundation (NAF) organized this year a lecture about Complexity and Economics. The lecture, at Baker McKenzie in New York, was a high level overview of complexity principles for public policy by speakers Dr. Roland Kupers, among other associate fellow at the University of Oxford, and via a pre-recorded video by Prof. Lex Hoogduin.
On forehand, I was very excited to attend this talk as I deal with the topic more or less as a developer advocate for IBM either via the IBM Data Science Experience (DSX), Machine Learning and IBM Watson (cognitive computing, having some experience in R programming, data science, machine learning, calculus, and 20+ years of software engineering. The evening was certainly not un-interesting, but I was a little disappointed by the lack of depth of the presentations, and neither of the speakers touched on machine learning, statistics, or mathematics which have my immediate interest. But nevertheless, the two talks touched upon enough topics for further inquiry to make the evening inspiring.
Kupers’ talk relates to his publication entitled ‘Complexity and the art of public policy’ (2016) in collaboration with David Colander. Kupers is a physicist by training with experience in the field of fractals, then switched to economic policy early in his career, being a consultant now, who among other advised the NWO (Dutch organization for scientific research). Continue reading