AI Methods in Economics and Finance Research
On-Site
Other
General description
Research methods have evolved significantly over the past decade, first with the rise of machine learning (ML) approaches and more recently through the use of generative AI tools, such as those based on large language models (LLMs). This course begins with a whirlwind tour of “traditional” AI before progressing to the practical implementation of state-of-the-art LLM workflows.
Learning Objective
- Understand the fundamentals of machine learning models and large language models
- Design and implement a basic machine learning pipeline, including data preparation, model training, and evaluation
- Apply large language models in practical research settings
Target Audience
This course is designed for researchers with a traditional background in economics and finance who wish to become acquainted with emerging AI tools. Rather than focusing on cutting-edge implementations, the course aims to provide a clear sense of what can be achieved with these techniques, along with initial hands-on practical experience.
Dates
Course Dates: 25/05/2026 - 27/05/2026
Registration deadline: 06/05/2026
Location
EUI Premises in Florence, Italy
Level
Intermediate, Advanced
Approach
Quantitative
Contact
Institution: Florence School of Banking and Finance
Address: Villa Raimondi, Via Boccaccio 121/111
City: Florence
Country: Italy
Country Code: IT
Fees
FULL FEES*:
€ 950 – Academics
€ 1900 – Public sector
€ 2100 – Private sector
*Please note that the payment must be settled one week before the start of the course.
The fee includes tuition, access to all course materials and pedagogic activities, coffee and lunch breaks and social activities, as well as a certificate of attendance after the course has been completed. The fee does not include travel and accommodation expenses or other local transportation costs (taxis, private cars).
Please submit a certificate attesting your status of Professor, PhD Student or Research Associate to fbf@eui.eu before registering. FBF secretariat will provide you with a code to register. Seats for academics are limited.
GROUP DISCOUNT (-15%)
Villa Schifanoia, Via Giovanni Boccaccio, 121, 50133 Firenze
50133 Florence , Italien
