01/13/2017
Apply now: Open Source Macroeconomics Laboratory
New summer boot camp that builds advanced computing skills
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.
DETAILS
June 19–Aug. 4, 2017
University of Chicago
Saieh Hall for Economics
APPLY
Deadline: Feb.12, 2017
Learn more at
bfi.uchicago.edu/osmlab
Questions? Contact
[email protected]
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.
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Organized by
Richard Evans, University of Chicago
OSM Lab Faculty
Lars Peter Hansen, University of Chicago
Thomas J. Sargent, New York University
John Stachurski, Australia National University
The Becker Friedman Institute is pleased to announce the creation of the Open Source Macroeconomic 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: