The recent surge in artificial intelligence research and investment has driven emergence of groundbreaking scientific computing environments in recent years, each equipped with advanced features like automatic differentiation, parallel computing capabilities, and just-in-time compilation. This workshop will deliver a concise survey of these evolving AI-driven computational tools and explore their potential applications within economic research and analysis, demonstrating how the accelerated pace of AI development is creating new opportunities for computational economics.
- Location: Room 101, KIER North building (経済研究所北館), Kyoto University
- Date: 5th June 2025
- Time: 1:15pm
- Instructor: John Stachurski
The workshop will include live coding and attendees who wish to follow along should bring laptops.
If participants wish to prepare for the seminar, they can install Anaconda Python and learn the basics of using Jupyter and Python. The first few QuantEcon lectures might be helpful. None of this is mandatory.