Several important new scientific computing environments have appeared in recent years, generated by demand from and investment in artificial intelligence. This workshop will provide a brief overview of these environments and their features, 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. When possible, attendees should bring laptops to the seminar.
- Instructure: John Stachurski (Australian National University).
- Date: November 22nd 2024
- 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