Who: Second year Ph.D. and higher, and faculty, in Economics or other social sciences. If you haven't taken the course in the past, or want a refresher, you should participate.

Should any part of this workshop conflict with the TA training, the latter takes precedence.

The goal of this workshop is to showcase computer-oriented techniques and tools for social science students, from basic command line tools on Linux and Mac to version control to optimization and parallelization techniques for high-performance computing, with reproducible methods training thrown in for good measure. The goal is NOT to teach a full course on SAS, Stata, Matlab, R, Python, MPI, Fortran, etc. - there are other classes for that. We will teach just enough of each programming language to be able to highlight additional techniques. There will be hands-on training on a few systems, such as CodeOcean and the new Econ cluster (for economics students). This workshop is designed to open your eyes to the possibilities, scratching the surface, but mostly not diving into any particular depths. Follow-on short courses may solve those needs. For specific programming languages, we point to offerings elsewhere on campus, for instance at CISER. more

Tentative syllabus here: https://labordynamicsinstitute.github.io/computing4economists/web/#/. We may modify the actual activities based on where the workshop participants express needs and interest.

Some GRA supervisors are requiring this course, so please check with your GRA supervisor.

Registration is required. To register for this workshop, please complete and submit the form here: https://cornell.qualtrics.com/jfe/form/SV_8jkv41h8aPaWSJn