Save the date: Tuesday May 9, 2023

10th Annual NJBDA Symposium

Big Data in FinTech

Host: Seton Hall University

The New Jersey Big Data Alliance (NJBDA) is an alliance of 18 higher education institutions, as well as industry and government members, that catalyzes collaboration in advanced computing and data analytics research, education and technology.

The NJBDA’s annual symposium is New Jersey’s premier conference for big data & advanced computing, consistently attracting 200+attendees from industry, government, and academia.

This year’s symposium will be held in person at Seton Hall University.

For questions, please contact Manfred Minimair, Ph.D., Seton Hall. For sponsorship inquiries, please contact Kaerielle Larsen, Seton Hall, at kaerielle.larsen@shu.edu.

Call for Abstracts

We invite academic and industry researchers to submit abstracts of their research for presentation at the symposium.

The 2023 Symposium will include academic research sessions with presentations on current applied research in Big Data, AI, and Machine Learning.

Other topics of particular interest related to the focus of the symposium are welcome, including, but not limited to: AI and Finance, Blockchain, Crypto & Digital Currencies, NFTs, Big Data Business Intelligence.

Abstracts should be a maximum of 650 words and submitted by March 25, 2023. Indicate your name, email, department, university affiliation, title of presentation and track, at the top of the abstract. This information does not count towards the 650-word limit.

Submit abstract via EasyChair.org

Notification of acceptance by April 14, 2023

We look forward to your submissions!

Selected presentations will be invited to submit papers to The Journal of Big Data Theory and Practice (JBDTP).

Contact Forough Ghahramani, Vice President Research, NJBDA at research@njedge.net for questions or additional information.

Download PDF: NJBDA call for abstracts 2023

Keynotes

George Calhoun headshot

George Calhoun

Professor and Founding Director of the Quantitative Finance Program, Stevens Institute of Technology

Kjersten Moody headshot

Kjersten Margaret Moody

Chief Data Officer, Prudential Financial