The Becker Friedman Institute is pleased to announce the creation of the Open Source Macroeconomics Laboratory (OSM Lab), which will run an intensive and immersive seven-week computational macroeconomics boot camp from June 19 to August 4, 2017.
The goals are to:
train advanced undergraduates and graduate students with the computational skills to participate in cutting-edge economic research and public policy analysis;
inspire the brightest young researchers to pursue policy-relevant work throughout their careers;
spread the ideals of transparency and replicability throughout the economics profession from the ground up, and
accelerate scientific progress in economics and policy analysis more broadly.
We invite talented and motivated students to apply. The program is open to advanced undergraduate students and graduate students, with 20 fully funded student slots for available for summer 2017. Funding includes travel to and from the University of Chicago, housing at the University, and a stipend of $4,200 for the seven weeks. Successful applicants will have taken courses or demonstrate proficiency in core microeconomic theory (constrained optimization with Lagrangian), linear algebra, multivariable calculus, real analysis, and writing code in some programming language.
The curriculum of this program includes advanced mathematics, economic theory, and computational methods, all with a focus on open source languages, collaboration, and exposition. Programming at the boot camp will be mostly in Python. We will also use the collaborative open source platforms of git and GitHub extensively.
The OSM Lab boot camp curriculum will draw from the resources of quant-econ.net produced by Sargent and Stachurski, and the curriculum of the Brigham Young University Macroeconomics and Computational Laboratory. Both of these programs have a rich track record in producing a pipeline of students with a modern base of computational and theoretical skills for careers in research. Student researchers who complete the OSM Lab boot camp will emerge with a rich set of computational tools, experience in successfully applying those tools to macroeconomic questions, and the ability to collaborate effectively.