COST FinAI - Fintech and AI in Finance - Training School

COST PhD School on Fintech and AI in Finance

Organized by: COST FinAI and MSCA Doctoral Network on Digital Finance

• Aim of the Training School

The primary objective of this doctoral training school is to serve as an academic platform for PhD candidates, young researchers, and scholars in the field of Fintech and AI in Finance. The event aims to foster intellectual growth, encourage collaborative research, and facilitate knowledge exchange. It will focus on paper presentations, doctoral lectures, and workshops, thereby providing a comprehensive learning experience.

• Summary

This five-day training school is a collaborative initiative between COST FinAI and the MSCA Doctoral Network on Digital Finance. It will feature a blend of PhD presentations and doctoral lectures, with a focus on active participants from COST FinAI. The scientific committee will comprise representatives from 10 COST countries (to be determined). All lecture notes will be made publicly available, and the output of the training school will contribute to COST networking and the promotion of young researchers.

• Detailed Agenda

Day 1: Introduction and Paper Presentations

9:00 - 9:30: Opening Remarks

- Introduction to the training school's objectives and expected outcomes.

9:30 - 12:00: PhD Paper Presentations

- Session 1: "AI in Risk Management"

- Subtopics: Algorithmic risk assessment, fraud detection.

12:00 - 13:00: Networking Lunch

- An opportunity for attendees to interact and discuss research interests.

13:00 - 17:00: Doctoral Lectures

- Lecture 1: "Introduction to Fintech and AI in Finance"

- Subtopics: Historical overview, current trends.

Day 2: Workshops and Skill Development

9:00 - 12:00: Workshop 1

- "Data Analytics and Machine Learning in Finance"

12:00 - 13:00: Networking Lunch

- A platform for dialogue between attendees and workshop facilitators.

13:00 - 17:00: Workshop 2

- "Ethical and Regulatory Challenges in Fintech"

Day 3: Advanced Topics and Paper Presentations

9:00 - 12:00: Doctoral Lectures

- Lecture 2: "Advanced Machine Learning Techniques in Finance"

12:00 - 13:00: Networking Lunch

- A chance for attendees to engage in academic discussions.

13:00 - 17:00: PhD Paper Presentations

- Session 2: "Blockchain and Financial Technologies"

- Subtopics: Smart contracts, decentralized finance.

Day 4: Emerging Research and Panel Discussion

9:00 - 12:00: PhD Paper Presentations

- Session 3: "Quantum Computing in Finance"

12:00 - 13:00: Networking Lunch

- An opportunity for attendees to discuss emerging research topics.

13:00 - 17:00: Panel Discussion

- Topic: "The Future of AI and Fintech in Academic Research"

Day 5: Conclusion and Future Directions

9:00 - 12:00: Doctoral Lectures

- Lecture 3: "Future Directions in Fintech and AI Research"

12:00 - 13:00: Networking Lunch

- Final opportunity for networking and collaborations.

13:00 - 17:00: Closing Remarks and Certificate Distribution

- Summary of the training school, distribution of participation certificates, and discussion of future COST FinAI activities.