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X-WR-CALNAME:The Rutgers Artificial Intelligence and Data Science (RAD) Collaboratory
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UID:3484-1793694600-1793718000@radcollaboratory.rutgers.edu
SUMMARY:AI in Higher Ed: Ethics & Law
DESCRIPTION:Registration is required. Link to register: https://libcal.rutgers.edu/event/17786601 \nDear Members of the Rutgers Community\, \nWe are excited to announce the next installment in our University Librarian’s Symposium Series on Artificial Intelligence in Higher Education. Rutgers faculty\, staff\, and students are invited to join us for AI in Higher Education: Ethical and Legal Considerations. Through presentations and dialogue\, this symposium aims to advance a shared understanding of how universities can harness the benefits of AI while upholding the ethical principles and legal obligations that are foundational to higher education. \nThe hybrid program will be held on Tuesday\, November 3\, from 8:30 a.m. to 3 p.m. in Alexander Library’s Teleconference Lecture Hall. There also will be an option to participate remotely. Because space for in-person attendance is limited\, we ask that you consider remote participation if you are unable to stay for the entire event. \nLaunched last year\, the University Librarian’s Symposium Series engages experts from across the university to explore timely and relevant topics. Last year’s events on AI in teaching and learning and on AI in research received overwhelming responses\, and in-person registrations quickly reached capacity. \nPlease visit the event page on our website to view the agenda and register. We hope you will be able to join us on November 3\, either in person or online\, to participate in this important and timely discussion.
URL:https://radcollaboratory.rutgers.edu/event/ai-in-higher-ed-ethics-law/
CATEGORIES:Rutgers Events
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DTEND;TZID=UTC:20261103T153000
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CREATED:20260915T201519Z
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UID:3308-1793714400-1793719800@radcollaboratory.rutgers.edu
SUMMARY:Data Sources 1
DESCRIPTION:This session presents an overview of major data resources and methods of locating data with a focus on diversity and data for minorities and underrepresented groups. \nWorkshop conducted via Zoom. Register to receive the Zoom link with instructions on how to connect. \nSupplemental materials are available at https://libguides.rutgers.edu/data_topics \nInstructor: Ryan Womack \n\n\nRelated LibGuide:  Data Topics by Ryan Womack \nDate:Tuesday\, November 3\, 2026 \nTime:2:00pm – 3:30pm \nTime Zone:Eastern Time – US & Canada (change) \nDivision:New Brunswick \nEvent Type:   Workshop   Topics:   Data  \nOnline:This is an online event. Event URL will be sent via registration email.  Register here: https://libcal.rutgers.edu/event/17302100
URL:https://radcollaboratory.rutgers.edu/event/data-sources-1-2/
CATEGORIES:Rutgers Events
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DTSTART;TZID=UTC:20261103T160000
DTEND;TZID=UTC:20261103T180000
DTSTAMP:20260915T201818Z
CREATED:20260915T201818Z
LAST-MODIFIED:20260915T201818Z
UID:3310-1793721600-1793728800@radcollaboratory.rutgers.edu
SUMMARY:Spatial Analysis and Spatial Joins
DESCRIPTION:Learn how to integrate spatial data with ML through these key topics: \n\nSpatial feature engineering\nBasic clustering or classification\nInterpreting spatial ML outputs\n\nAttendees will develop a simple spatial model and map-based prediction. \n(GIS & Spatial Analytics\, Workshop 4) \nInstructor: Terri-Ann Grant \n\nRelated LibGuide:  Data Science – Graduate Specialists by Ryan Womack \nDate:Tuesday\, November 3\, 2026 \nTime:4:00pm – 6:00pm \nTime Zone:Eastern Time – US & Canada (change) \nEvent Type:   Workshop   Topics:   Data  \nOnline:This is an online event. Event URL will be sent via registration email.  Register here: https://libcal.rutgers.edu/event/17543059
URL:https://radcollaboratory.rutgers.edu/event/spatial-analysis-and-spatial-joins/
CATEGORIES:Rutgers Events
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