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June 24, 2026
AI innovation and initiatives
AI innovation and initiatives
In 1968 Saul Amarel, an early leader in computer science at Rutgers, wrote a paper about artificial intelligence that put him at the forefront of the AI movement. And today, Rutgers is still breaking ground in the AI field. Rutgers centers, institutes, and other initiatives are dedicated to innovation in artificial intelligence in fields from climate science to drug development—and beyond.
Key AI initiatives
These efforts are leading the way in AI, forging partnerships and collaboration across Rutgers.
Center for Biomedical Informatics and Health Artificial Intelligence (BMIHAI)
The Center for Biomedical Informatics and Health Artificial Intelligence (BMIHAI) is a transformative initiative at Rutgers Health designed to position Rutgers as a national leader in computational medicine and health AI. The initiative aims to bring together existing, but currently siloed, strengths in the broad area of biomedical informatics.
Institute for Data, Research and Innovation Science
The Institute for Data, Research and Innovation Science (IDRIS) at Rutgers–Newark serves as a hub for applied and ethical research in data science and emerging technologies. Its work focuses on addressing complex urban challenges through community-engaged approaches to artificial intelligence, data literacy, and responsible technology use.
Rutgers–Camden AI Campus
The Rutgers–Camden AI Campus (RuCAIC) is a new collaborative, project-based learning hub designed to make artificial intelligence accessible, ethical, and impactful. It prepares students, faculty, and the community to lead in an AI-driven world through hands-on projects, interdisciplinary teamwork, and AI literacy.
Rutgers Artificial Intelligence and Data Science (RAD) Collaboratory
The Rutgers Artificial Intelligence and Data Science (RAD) Collaboratory at Rutgers–New Brunswick serves as a hub for data science, artificial intelligence, student programming, and community engagement. The RAD Collaboratory partners with AI and data science initiatives across the university.
Breaking ground in AI across the university
At Rutgers, research into AI crosses disciplines and locations.
AI Ethics Lab
The AI Ethics Lab at Rutgers–Camden is an international research initiative dedicated to examining the ethical and legal implications of artificial intelligence and analyzing its impact throughout the AI lifecycle. Researchers are working to identify moral challenges and develop policy strategies to foster responsible technologies that benefit humanity and the environment.
Art and Artificial Intelligence Laboratory
The Art and Artificial Intelligence (AAI) Laboratory at Rutgers–New Brunswick is conducting research on the intersection between the two disciplines. The lab’s goal is to push the envelope of computer vision and AI by investigating perceptual and cognitive tasks related to human creativity. Its focus is on developing AI and computer vision algorithms in the domain of art.
Artificial Intelligence Center of Excellence
The Artificial Intelligence Center of Excellence is a RWJBarnabas Health and Rutgers Health initiative dedicated to the responsible development and integration of artificial intelligence in healthcare. The center serves as a laboratory where innovation is advanced mindfully—ensuring AI tools are safe, effective, and aligned with real-world needs.
Center for Advanced Infrastructure and Transportation
The Center for Advanced Infrastructure and Transportation (CAIT) has received funding from the U.S. Department of Transportation for a project to enhance bridge safety using AI technology. CAIT’s broader research goals focus on preserving, rehabilitating, and improving infrastructure; boosting network resilience; reducing life-cycle costs; and increasing mobility and safety.
Center for Computational Biomedicine Imaging and Modeling
The Center for Computational Biomedicine Imaging and Modeling (CBIM) at Rutgers–New Brunswick conducts interdisciplinary research in artificial intelligence, computer vision, and computational biomedicine, developing methods for image analysis, modeling, and medical applications.
Critical AI
Critical AI is an interdisciplinary initiative that focuses on teaching critical AI literacies in the current landscape. It is organized and led through a steering committee with support from the Center for Cultural Analysis, the Rutgers Center for Cognitive Science, and the RAD Collaboratory.
Cyberinfrastructure and AI for Science and Society
Cyberinfrastructure and AI for Science and Society (CASS) is an interdisciplinary initiative at Rutgers–New Brunswick that advances research in artificial intelligence and cyberinfrastructure, supporting collaborative projects, training, and innovation to address complex societal and global challenges.
Institute for Health, Health Care Policy and Aging Research
The Rutgers Institute for Health, Health Care Policy and Aging Research is using artificial intelligence and machine learning to develop software that helps predict diseases in individuals. This is just one of the many current efforts within the institute, which serves as a hub for multidisciplinary and translational research focused on improving population health.
Institute for Quantitative Biomedicine
The Institute for Quantitative Biomedicine (IQB) at Rutgers–New Brunswick fosters interdisciplinary research and training that applies computational and data-driven approaches to biological and medical challenges, advancing quantitative methods in biomedicine.
Institute for Teaching, Innovation, and Inclusive Pedagogy
The Institute for Teaching, Innovation, and Inclusive Pedagogy (TIIP) at Rutgers–New Brunswick serves as a hub for advancing innovative, student-centered instruction. Through programs like the Teaching and Generative AI Pathways and the Generative AI Community of Practice, TIIP supports instructors in integrating generative AI into their teaching.
Intelligent Visual Interfaces Lab
The research conducted at the Intelligent Visual Interfaces (IVI) Lab at Rutgers–New Brunswick lies at the intersection of artificial intelligence, visual computing, and human-computer interaction. The mission of the lab is to develop intelligent visual interfaces for human-guided content creation.
Rutgers Institute for Information Policy and Law
The Rutgers Institute for Information Policy and Law (RIIPL) is an interdisciplinary venture at Rutgers Law School that focuses on artificial intelligence, information policy, algorithmic systems, media, platforms, data, privacy, and information justice. RIIPL faculty, fellows, visiting scholars, and students engage in research, learning, and teaching on the legal and governance structures around information.
Sequence Analysis and Modeling Lab
The Sequence Analysis and Modeling (SEQAM) Lab at Rutgers–New Brunswick develops computational methods for analyzing complex sequential and multimodal data, with applications in areas such as time-series analysis and biomedical data modeling.
Wireless Information Network Laboratory
Wireless Information Network Laboratory (WINLAB) has a research portfolio spanning a number of disciplines, with several projects focusing on machine learning and AI. WINLAB’s research mission is to make fundamental contributions to the theory and practice of emerging wireless technologies and networks, working in close collaboration with industry and government.
