top of page
AI & BIG DATA IN FINANCE
RESEARCH FORUM
The Artificial Intelligence and Big Data in Finance Research (ABFR) Forum is comprised of an interdisciplinary community of scholars with an interest in the methodology, applications, and socioeconomic implications of AI and big data. The forum aims to foster research communication and thought leadership at the intersection of finance and data science.
​
ORGANIZERS
PIETRO BINI
Boston University
Co-Organizer
2025-
London Business School
Co-Founder and Co-Organizer
2021-
Cornell University
Co-Founder and Co-Organizer
2021- (Lead 2021-2022)
MIT
Co-Founder and Co-Organizer
2021-
University of Maryland
Co-Organizer
2022-
Stanford University
Co-Founder and Co-Organizer
2021- (Lead since 2023)
Purdue University
Co-Organizer
2023-
University of Washington, Seattle
Co-Organizer
2022-
PROGRAM ASSISTANTS
ENRICA ARCHETTI
PIETRO BINI
Stanford University
2024-
Cornell University
2023-2025
GREG ZANOTTI
Stanford University
2021-2024
​
WEBINAR SERIES:
​
The Forum’s Webinar Series showcases innovative research at the forefront of AI, big data, and finance. Taking place on the last Thursday of each month at 12 PM EST, these one-hour sessions feature leading scholars presenting their work, followed by a discussion and audience Q&A. The webinars are currently organized and hosted by Andreas Neuhierl, Markus Pelger, Serhiy Kozak, and Svetlana Bryzgalova.
Webinars are recorded and shared publicly to broaden access and visibility. After the recording concludes, attendees are welcome to stay for an additional 15 minutes of unrecorded, informal conversation with the presenter, discussant, and fellow participants. This format provides both a platform for presenting research and an opportunity for deeper, candid scholarly exchange. By combining formal presentation with open dialogue, the Webinar Series fosters knowledge-sharing across disciplines, connecting researchers, practitioners, and students interested in the transformative role of AI and big data in finance.
To stay up to date and receive our announcements, please join our mailing list.
​
SYMPOSIUMS:
​
We invite you to join our new Virtual Symposium series—an initiative designed to spotlight the work of emerging scholars. Each symposium features 2–3 junior researcher presentations centered on a common theme, followed by an expert-led panel discussion to amplify their insights and foster meaningful dialogue. The symposiums are organized and hosted by Lea Stern, Maryam Farboodi, Pietro Bini, and Will Cong.
These virtual gatherings offer early-career researchers a prominent platform to present their cutting-edge work, engage with peers, and receive valuable feedback from fellow scholars. Scheduled several times a year typically on the last Thursday of the month, each symposium runs for 75 minutes. Each symposium is organized around a thematic focus—such as AI alignment, causal machine learning, behavior and limits of LLMs, or sparsity versus complexity. Presentation slots last 20-30 minutes each. After the presentations, typically a distinguished senior scholar leads a panel session with all presenters for another 15 minutes, which includes comments and Q&A, creating a rich, collaborative learning environment. The series is recorded and posted online and is open to all researchers, practitioners, and stakeholders in AI, big data, and finance.
To stay up to date and receive our announcements, please join our mailing list.
bottom of page