A new course offered this past spring, Sense & Sensibility & Science @UChicago: Scientific Thinking in a Democracy, highlights how scientific reasoning and tools can help both policy novices and policy experts address today’s pressing problems.
“The idea is to get scientific methods out of the science labs and extract the mindsets, concepts, and tools, and then make that accessible to undergrads,” says course coordinator Julia Koschinsky, executive director & senior research associate at the Center for Spatial Data Science. “And not only conceptually; it's not only about understanding these mindsets and concepts, but also gaining hands-on experience.”
The Big Problems course was originally developed and taught at UC Berkeley by Nobel Laureate and astrophysicist Saul Perlmutter, philosopher John Campbell and social psychologist Robert MacCoun. More recently, the class has been taught at Harvard University and UC Irvine—but it’s been tailored for UChicago, where it is coordinated by the Center for Spatial Data Science of the Social Sciences Division and funded by the College’s 25-year-old Big Problems program.