11th Annual New Jersey Big Data Alliance Symposium
Theme: “Artificial Intelligence Impacts on Society and Higher Education”
May 17, 2024
Hosted by Rutgers University, New Brunswick
CALL FOR ABSTRACTS – DUE BY MARCH 22, 2024
The 2024 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: Learning and Generative AI, Ethical Implications of AI, AI and Workforce Readiness, AI for Educational Equity, AI and Societal Inequity, AI and Algorithmic Bias, AI and Student Success, AI and Academic Research.
Abstracts should be a maximum of 650 words and submitted by March 22, 2024. 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 to: https://easychair.org/my/conference?conf=2024njbdaannualsympo
Notification of acceptance by April 17, 2024. We look forward to your submissions!
Selected presentations will be invited to submit papers to The Journal of Big Data and Artificial Intelligence (JBDAI).
Contact Forough Ghahramani Vice President Research, NJBDA at research@njedge.net for questions or additional information.
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About this year’s symposium:
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 for 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.