Friday May 17, 2024

11th Annual NJBDA Symposium

Theme: Artificial Intelligence Impacts on Society & Higher Education

Host: Edward J. Bloustein School of Planning and Public Policy, Rutgers University

The theme for the 2024 NJBDA symposium is ‘AI Impacts on Society & Higher Education’. The symposium will be a collaborative forum for information sharing, networking, research and discovery of opportunities and challenges of AI in society and higher education i.e. how will AI transform higher ed teaching and learning, how can university leaders effectively leverage and manage AI, AI misuse, the expanding digital divide, data bias and ethical implications.

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 Rutgers, The State University of New Jersey.

The venue is the Douglass Student Center, located at 100 George Street, New Brunswick, New Jersey. (Google Maps)

Research Presentations

Thank you to everyone who submitted research presentation abstracts for the symposium.

Student Poster Submissions

Please submit abstracts for the student poster sessions by April 21, 2024 May 1, 2024. Digital poster submissions are due by Tuesday, May 14, 2024. Learn more at the Student Poster Submission page. 

Sponsorships

For sponsorship information, please contact Margaret Brennan-Tonetta or Jim Samuel.

Keynote Speakers

Headshot of Sherry Marcus

Sherry Marcus

Director of Applied Science, Generative AI Leadership, Amazon Web Services

Headshot of Shiren Vijiasingam

Shiren Vijiasingam

Chief Product Officer, Instructure

Program

8:30 – 9:00

Registration

9:00 – 10:00

Welcome

  • Matthew Hale, President, NJBDA; Professor, Seton Hall University
  • Jim Samuel, NJBDA Symposium Chair; Professor, Rutgers Bloustein School
  • Stuart Shapiro, Dean, Rutgers Edward J. Bloustein School of Planning and Public Policy
  • Francine Conway, Chancellor, Rutgers University – New Brunswick
  • Brian Bridges, Secretary of Higher Education, State of New Jersey

10:00 – 10:30

Keynote Address: AI Impacts on Society

Sherry Marcus, Director of Applied Science, Generative AI Leadership, Amazon Web Services  

10:30 – 10:45

Break & Networking

10:45 – 12:00

Research Workshops

Concurrent Workshop: NLP, LLMs & Generative AI

  • Meng Ye, SRI International
  • Jim Samuel, Professor, Rutgers University

Concurrent Presentation on AI: Design Justice AI

  • Lauren Goodlad, Rutgers University
  • Matthew Stone, Rutgers University

12:00 – 1:00

Lunch, Networking, Exhibits

1:00 – 1:45

Keynote Address – AI Impacts on Higher Education

Shiren Vijiasingam, Chief Product Officer, Instructure

1:45 – 2:30

Panel Discussion: AI Skills for a Transforming Workforce

  • Justin Trugman, Co-Founder and Head of Technology, TechUnited:NJ Better Future Labs
  • Melanie Murphy, former Chief Analytics Officer, Fluent
  • Doug Vargo, Vice President, Consulting Services, CGI
  • Sriram Sridhar, Director, Translational Data Science, Genmab

2:30 – 2:45

Break and Networking

2:45 – 3:30

Panel Discussion: AI Impacts on Teaching and Research

  • Wade Trappe, Associate Dean of Research, Rutgers School of Engineering
  • Vishal Misra, Vice Dean & Professor of Computer Science and AI, Columbia University
  • Sonia Yaco, Digital Initiatives Librarian, Rutgers University
  • Juan Rios, Professor, Social Work Program, Seton Hall University

3:30

Closing Remarks

JBDAI – NJBDA Journal Awards | Student Poster Awards | Journal Announcements

  • Jim Samuel, Professor, Rutgers Bloustein School; Editor, Journal of Big Data and Artificial Intelligence
  • Peggy Brennan-Tonetta, Past President, NJBDA; Sr. Associate Director, New Jersey Agricultural Experiment Station, Rutgers University
  • Matthew Hale, President, NJBDA; Professor, Seton Hall University

Sponsors

NJBDA thanks our sponsors:

VMWare by Broadcom, Carahsoft

About the NJBDA

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.