June 4, 2013
From the intro it appears not only are a wide range of discussions held, but also an interdisciplinary mosaic of subjects are discussed. Of course the key word is 'discussion', which is something that traditional classrooms have not the time to allow.
Educational policy and complex scientific means to understand childhood learning. Quantum information and the next wave of computing. Biophysics and the future of medicine. Nonlinear dynamics, statistical physics and stochastic processes (applied to anything from bio to finance). The fervor over data science and the absurd idea that big information will obviate the need for theory. What are the economics behind scientific titles within business (i.e. Most folks at statistical meeting now call themselves data scientists, a term which has an associated dollar value). Topics on 'Bad Science', from news reporting to government think tanks to things like medical devices and pharma. Talks on the future of genetics in the context of the past (genomics, proteomics). Health outcomes based research. Technology and what will impact the nature of how caregivers treat patients. Topics on the interface of math/stats/physics/computer science and its ubiquity in most all other disciplines.
No preference, so long as water is available and no sugary drinks.
Both. However, when possible, i like informal discussions to have a topic or set of them, though this is not a necessity. Just helps break the ice for new folks like me.
I'm a computational researcher at the interface of stats, math, comp science, and physics. I employ these skills both to solve practical and complex problems and develop larger theoretical which scale from large entities down to the individual.