AI in Digital Finance — Online seminars
Details
AI in Digital Finance — Online seminars
We are delighted to announce a collaborative initiative between IDA, the Digital Assets Institute, AI4EFIN, COST FIN-AI, MSCA DIGITAL FINANCE and Institute for Economic Forecasting, Romanian Academy: a regular seminar dedicated to exploring the intersections of Artificial Intelligence (AI) and Digital Finance. This seminar series promises to be an enriching platform for learning, discussion, and networking within the area of FinTech and AI innovations.
When? Every month, we host a session that brings together leading minds and passionate professionals from the fields of AI and digital finance. These gatherings are designed to offer insights into the latest research, technological advancements, and trends that are shaping the financial landscape of tomorrow.
Who? This series is tailored for researchers and professionals who see the need of navigating between complexities and opportunities in a fast convergence of finance and technology. Whether you are a professional in the industry, an academic researcher, or a student eager to expand your knowledge, these sessions will provide valuable perspectives and networking opportunities.
Details
- Frequency: Monthly
- Format: Hybrid, accommodating both in-person and online participants
- Venue: Details will be provided for each session
- Transparency: Slides on quantinar.com; Codes on quantlet.com; Data on blockchain-research-center.com
- Virtual Participation: Zoom link: https://ase.zoom.us/j/84350805723?pwd=qoaiNnbVKQEF8T1jCLDme8BmbGXplw.1
- Announcement: Via Meetup and Linkedin pages of IDA and AI4EFin
We invite you to join us and to be part of a community at the forefront of FinTech innovation.
Keep an eye out for updates and further information on how you can be a part of these exciting discussions.
AI in Digital Finance —20 February 2026
Link: https://ase.zoom.us/j/84350805723?pwd=qoaiNnbVKQEF8T1jCLDme8BmbGXplw.1
Title: The geographic origins of blockchain transactions
Speaker: Simon Trimborn ( Amsterdam School of Economics, University of Amsterdam)
Date and time: February 20 2026 (Friday), 17:00 PM (EEST) / 16:00 PM (CET)
Abstract: We investigate the transaction patterns of Bitcoin users by their geographical origin and design Random Forest architectures to obtain indices for the share of transactions per region. We show that North American and European users transaction flows have a stronger market relationship than global flows. Using the indices, trained on a unique dataset spanning 5 years of blockchain transactions and their associated geographical origin, we construct region-specific blockchain metrics which we show improve market modelling and forecasting as compared to the global metrics. We further show with the indices regional differences in users willingness to pay transaction fees.