Lars Vilhuber, Ivan Rudik, and some others
The goal of this workshop is to make early-career researchers in the social sciences (e.g. Ph.D. students and early faculty) aware of computational tools and toolkits that will allow them to more efficiently and reproducibly conduct their research. We will showcase computer-oriented techniques and tools, from basic command line tools on Windows, Linux, and Mac, to version control, to optimization and parallelization techniques. These methods are useful not just for high-performance computing, but by necessity make research reproducible. If you touch a computer as part of your research, you should come!
This workshop is designed to open your eyes to the possibilities, scratching the surface, but mostly not diving into any particular depths. 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 (TBD). more
We highlight that this is a workshop - we will work on problems as a group, drawing on expertise in the “room” as needed. If you have a specific question, and want to work on it, we may do so. If you want to primarily listen, that's fine too.
Some parts of the workshop will be asynchronous (pre-recorded), but a significant portion will be live. You should expect to do some exercises each day.
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
(partially joint with LDI Replicator training)
There are full 13-week graduate-level courses. The information we'll have touched on here can serve as a starting point for many of those dedicated courses, or you may be able to peruse and learn on your own. Let me just call out a few by economists (there are many, and apologies if I missed some):
John Abowd, Rick Mansfield, Daniel Lin, Hautahi Kingi, Flavio Stanchi, Jean-Francois Houde, Sylverie Herbert, Sida Peng, Kevin L. McKinney