2026 NJBDA Annual Symposium
The 13th Annual NJBDA Symposium will be held at Rowan University on May 20, 2026. The theme is Building Accessible & Sustainable AI Ecosystems: People, Data, Ethics, & Infrastructure.
Keynote Speakers Announced
NJBDA Highlights
Research Submissions Now Open for 13th Annual Symposium
Submit Your Proposal for the NJBDA Research Track We are pleased to announce that RESEARCH SUBMISSIONS ARE INVITED for the Research Track for the 13th Annual NJBDA Symposium, which will take place on Wednesday, May 20, 2026, at Rowan University. We invite researchers from academia, [...]
NJBDA Announces NJ-RISE 2026
NJ Research in Industry Student Experiences NJBDA Industry Summer Undergraduate Research Program Need academic expertise to solve your company’s research projects? Lack resources to solve your organization’s technical challenges? An exciting new summer undergraduate research program developed by the New Jersey Big Data Alliance (NJBDA) [...]
NJBDA Sponsors, Edge Hosts Secure Data-Driven Research Workshop at Princeton
Faculty researchers, IT professionals, and higher education leaders gathered at Princeton University on January 14, 2026 for a workshop entitled "Empowering Secure Data-Driven Research: Leveraging Science DMZ, Globus, and National Cyberinfrastructure Resources". Featuring esteemed presenters from Globus, ESnet, Internet2, the American Museum of Natural History, [...]
Recent EdgeCon Attended by NJBDA Members
A special thank you to Stephen Betts of William Paterson University for representing the NJBDA at the conference. NJBDA industry members in attendance were: Velocity Tech Solutions, ePlus, SHI, Ricoh, TEKsystems, PKA Tech, Carahsoft, Swiss Vault, and CGI. Pictured, Logan Sheruda of Velocity Tech Solutions [...]
NJBDA Welcomes New Industry Members
For immediate release — NJBDA formally completes its new industry member review process and unanimously approves the addition of three new organizations to its membership. NJBDA welcomes new industry members ePlus, TEKsystems, and Velocity Tech Solutions to the alliance. ePlus is a customer-centric, services-led provider of [...]
Upcoming Events
Machine Learning and Big Data Workshop
February 11 @ 11:00 am - 5:00 pm
The Pittsburgh Supercomputing Center is pleased to present a Machine Learning and Big Data workshop. This workshop will focus on topics including big data analytics and machine learning with Spark, as well as deep learning. NJBDA, Edge, and Princeton University invite students and faculty to attend the workshop. Register to Attend This will be an IN PERSON event hosted [...]
AI Tools for Agriculture Conference
February 20 @ 9:00 am - 3:30 pm
Inviting farmers, researchers, and agriculture stakeholders to AI Tools for Agriculture, AI and Farm Viability in NJ Conference. In support of New Jersey’s commitment to become a national leader in AI and establish an AI hub for agriculture, the New Jersey Big Data Alliance (NJBDA), Rutgers University, Rowan University and Camden County College are proud to host the 2nd annual [...]
RAISE-26 Artificial Intelligence Informatics Data Science AI Competition
April 17 @ 8:30 am - 12:30 pm
Mirror, Mirror on the Wall, Is AI Transforming Us All? Exploring AI’s Impact on Human Behavior. RAISE-26, the world’s strongest AI-NLP informatics competition, invites undergraduate and graduate students from all disciplines to explore one of the most urgent questions of our time: Is artificial intelligence (AI) transforming us? This cutting-edge Artificial Intelligence, Informatics, & Data Science Competition from the MPI program, [...]
2026 NJBDA Annual Symposium
May 20 @ 8:30 am - 3:30 pm
The New Jersey Big Data Alliance Symposium is a collaborative forum for information sharing, networking, research, and discovery of the importance of a sustainable AI ecosystem. This dynamic event will delve into strategies and considerations for creating a long-term, balanced AI environment that aligns human, technological, and ethical dimensions. Achieving this goal requires collaboration among academia, government, and industry to [...]





















































