About the RAD Collaboratory
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The Rutgers Artificial Intelligence and Data Science (RAD) Collaboratory
An AI and Data Science Hub
The RAD Collaboratory is a New Brunswick Chancellor Signature Initiative (CSI) that aligns to the Academic Master Plan. This CSI 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.
The RAD Collaboratory will be comprised of different research areas, each led by a faculty area lead.
The vision of the RAD Collaboratory is Deep Learning, Deep Connections.
Protein Data Bank / Institute of Quantitative Biomedicine
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Artificial Intelligence for Society
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Artificial Intelligence Grand Challenge
More Information on how to submit an application to become a RAD Collaboratory Research Area that addresses an Artificial Intelligence Grand Challenge will be announced soon.
Two research areas will be selected.
The RAD Collaboratory is more than just a hub; it is a transformative ecosystem designed to break down academic silos and foster collaboration across schools, departments, centers, and institutes. The goal is to create an environment where faculty, students, and community members can come together to address societal grand challenges through responsible AI and data science applications. Some crosscutting Rutgers initiatives and resources include:
- Center for Computational Biomedicine Imaging and Modeling (CBIM)
- Human Genetics Institute of New Jersey
- Institute for Quantitative Biomedicine (IQB)
- Institute for Teaching, Innovation, & Inclusive Pedagogy
- Rutgers DIMACS
- Rutgers Health Center for Biomedical Informatics & Health Artificial Intelligence (BMIHAI)
- Rutgers Newark Institute for Data, Research and Innovation Science (IDRIS)
- New Jersey Big Data Alliance
- WINLAB
- Data Resources:
- Cyberinfrastructure and Computing