This is the homepage for the Computational Economics Workshop to be held at the University of Melbourne on August 15th 2024.
Several new open source scientific computing environments have appeared in recent years, generated by demand from and investment in artificial intelligence and related fields. Economists can greatly enhance their modeling and data processing capabilities by exploiting these new computational tools. This workshop will provide a brief overview of core topics, including automatic differentiation, parallel computing, and just-in-time compilers. We will discuss how these tools can be applied to a range of economic applications.
All attendees should bring a laptop computer with access to the internet.
The workshop is suitable for people with interest in computational work but no programming experience is required.
The lead instructor for the workshop will be John Stachurski (Australian National University).
The workshop will include a session titled Computational Economics in Action, with lectures by James Hansen and Yong Song.
- Date: August 15th 2024
- Room 404, FBE Building 111 Barry St, Carlton
- An overview of modern scientific computing
- AI and its impact on economic modeling
- Quick introduction to Python
- Accelerating Python using Numba and Fortran
- Automatic differentiation
- Introduction to JAX and GPU computing
- Gini coefficients and Lorenz curves