AI Methods in Economics and Finance Research

Attendance

On-Site

Type

Other

Posté le

Course Start Date

End Date

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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

Delivery mode

Residential

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%)

More Information

Type

Other

Attendance

On-Site

Posté le

Course Start Date

End Date

Date limite d´inscription

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Villa Schifanoia, Via Giovanni Boccaccio, 121, 50133 Firenze

50133 Florence , Italie