AI-Driven Research in EconCS
Presenters
Abstract
This tutorial offers a hands-on exploration of how AI systems can accelerate scientific and academic discovery. We first demonstrate how to automate foundational research workflows, including conducting comprehensive literature surveys, performing copy-editing, and utilizing AI as a collaborative partner for brainstorming and the formal verification of mathematical results. We then examine how AI coding agents enhance creative generation, rigorous automated verification, and iterative evolution to drive breakthroughs in complex, open-ended problems. Finally, we address the inherent limitations of current AI architectures and discuss critical pitfalls one may encounter when integrating AI into the scientific process.
Tentative Topics
-
Automating the Research Workflow
- Reviewing papers
- Copy-editing
- Drawing diagrams
- Checking equations
- Implementing algorithms
- Theorem proving techniques
-
Agentic Workflows
- What are AI agents?
- Editing LaTeX documents with agents
- Data science with agents
- Theorem proving with agents
Previous Editions
Related tutorial slides from earlier presentations:
Afternoon Workshop
🔬 AI-Driven Research in EconCS — Workshop
The tutorial will be followed by a workshop in the afternoon (also on July 6 at EC'26 in Rome), bringing together researchers to discuss open problems, share early-stage work, and explore the frontiers of AI-assisted research in Economics and Computation.