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X-WR-CALNAME:The Rutgers Artificial Intelligence and Data Science (RAD) Collaboratory
X-ORIGINAL-URL:https://radcollaboratory.rutgers.edu
X-WR-CALDESC:Events for The Rutgers Artificial Intelligence and Data Science (RAD) Collaboratory
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TZID:UTC
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TZOFFSETFROM:+0000
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TZNAME:UTC
DTSTART:20260101T000000
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BEGIN:VEVENT
DTSTART;TZID=UTC:20260430T130000
DTEND;TZID=UTC:20260430T170000
DTSTAMP:20260801T025316
CREATED:20260309T141158Z
LAST-MODIFIED:20260316T191924Z
UID:2957-1777554000-1777568400@radcollaboratory.rutgers.edu
SUMMARY:CodeBMB Webinar for Beginners
DESCRIPTION:This four-hour virtual crash course is designed to introduce novices (with little or no coding experience) to a pedagogical foundation for coding\, the Google Colab environment\, GitHub\, and the fundamentals of Python scripting. \nCoding exercises will begin with variables\, loops\, and logic and will proceed to plotting and calculations based on linear and nonlinear regression curve fitting. You will leave the workshop with a linear regression exercise and you will know how to adapt to your class or lab settings. \nTo participate\, you will need a Gmail account in order to save Colab notebooks (emailed prior to webinar) to your Google drive and to create your own Colab notebooks. \nMeet the Instructors\nThe CodeBMB team consists of four faculty members with a variety of coding and instructional skills\, growing expertise in educational research and a deep commitment to making coding accessible to everyone in the life sciences. \n\nChris Berndsen\, James Madison University\nWally Novak\, Wabash College\nMike Foster\, Penn State\nPaul Craig\, RIT\n\nSkills Learned\nAfter the webinar\, users will be able to: \n\nUnderstand how coding can contribute to student learning\nRecognize and write basic Python scripts\nOpen and modify existing Colab notebooks to use in their courses.\n\nThe webinar is intended for: \n\nProfessional scientists in the biosciences from academia and industry starting to code\nPost-docs and graduate students who want to bring coding into their learning environments\nInstructors involved in Biochemistry and Molecular Biology Education\n\nEvent Details\nCodeBMB: Computational Literacy for Biochemistry and Molecular Biology Education will take place \nThursday April 30\, 2026\n1pm – 5pm Eastern | 10am – 11am Pacific \nPlease register here for this free event. An institutional email address for registration is preferred.\nYou will receive confirmation and a Zoom link by email before the event. \nParticipants may also be interested in recordings of past training events\, including Python Scripting for Biochemistry & Molecular Biology Part 1 and Part 2\, and the 2024 course\, Python Scripting for Molecular Docking.
URL:https://radcollaboratory.rutgers.edu/event/codebmb/
CATEGORIES:Rutgers Events
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BEGIN:VEVENT
DTSTART;TZID=UTC:20260506T110000
DTEND;TZID=UTC:20260506T120000
DTSTAMP:20260801T025316
CREATED:20260501T154957Z
LAST-MODIFIED:20260501T154957Z
UID:3021-1778065200-1778068800@radcollaboratory.rutgers.edu
SUMMARY:SOCRATES Seminar: Computational Imaging and Future Cameras
DESCRIPTION:Wednesday\, May 6\,2026 at 11:00 am \nLocation: Busch Campus\, Richard Weeks Hall\, Room 102 \n500 Bartholomew Rd\, Piscataway\, NJ 08854 \nTitle: Computational Imaging and Future Cameras \nGuest speaker: Shree K. Nayar\, PhD T.C Chang Professor\, Computer Science\, Columbia University \nContact: jm1971@soe.rutgers.edu
URL:https://radcollaboratory.rutgers.edu/event/socrates-seminar-computational-imaging-and-future-cameras/
LOCATION:Richard Weeks Hall\, 500 Bartholomew Rd\, Piscataway\, NJ\, 08854\, United States
CATEGORIES:Rutgers Events
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BEGIN:VEVENT
DTSTART;TZID=UTC:20260520T083000
DTEND;TZID=UTC:20260520T153000
DTSTAMP:20260801T025316
CREATED:20260206T214252Z
LAST-MODIFIED:20260206T214252Z
UID:2903-1779265800-1779291000@radcollaboratory.rutgers.edu
SUMMARY:13th Annual New Jersey Big Data Alliance Symposium
DESCRIPTION:Register now for the 13th Annual New Jersey Big Data Alliance Symposium which will be held Wednesday\, May 20\, 2026\, at Rowan University in Glassboro\, NJ. This year’s theme is: “Building Accessible & Sustainable AI Ecosystems: People\, Data\, Ethics\, & Infrastructure“. We are honored to feature keynote speakers Dr. Khalifeh Al Jadda (Director of Data Science\, Google) andDr. Jeannette Wing (Executive VP Research\, Columbia University). The agenda includes informative research sessions\, outstanding academic and industry panels\, a student poster competition\, and networking opportunities. The NJBDA Annual Symposium is New Jersey’s premier Big Data and AI conference\, consistently attracting 250+ attendees from industry\, government\, and academia. \nFor the agenda\, registration and other information\, click here for the event page: https://njbda.org/2026-symposium/
URL:https://radcollaboratory.rutgers.edu/event/njbdamay20/
LOCATION:Rowan University\, 201 Mullica Hill Rd\, Glassboro\, New Jersey\, 08028\, United States
CATEGORIES:Regional/National Events
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BEGIN:VEVENT
DTSTART;TZID=UTC:20260925T093000
DTEND;TZID=UTC:20260925T154500
DTSTAMP:20260801T025316
CREATED:20260629T164557Z
LAST-MODIFIED:20260629T164557Z
UID:3218-1790328600-1790351100@radcollaboratory.rutgers.edu
SUMMARY:2026 Postdoctoral Research Symposium
DESCRIPTION:Please use this link to submit abstracts and/or to register. \nThe Rutgers Postdoctoral Association invites the Rutgers community to attend the 2026 Rutgers University Postdoctoral Research Symposium.  \nFriday September 25 from 9:30am-3:45pm in Kessler Teaching Wing of RWJMS Research Tower (675 Hoes Lane West\, Piscataway\, NJ). \nThe event will feature interdisciplinary research presentations\, networking opportunities with Rutgers postdoctoral researchers\, and a keynote address by Dr. Julia Stoyanovich\, Associate Professor of Data Science and Director of Center for Responsible AI\, NYU Tandon School of Engineering. \nDesigned to showcase innovative research\, the symposium aims to promote connections among postdocs\, encourage new collaborations\, and provide a platform for sharing research with a diverse scientific audience. Additional details are available in the flyer below\, and participants are encouraged to register and submit an abstract. \nRegistration is free\, and abstract submissions will be accepted through July 31\, 2026.  \nFaculty members are encouraged to support and motivate their postdoctoral fellows to present their work. The symposium board is also seeking faculty to serve as judges for oral and poster presentations. \nFor questions\, please reach out to the Postdoctoral Association at rutgerspda@gmail.com. We look forward to spending a day celebrating the amazing work that Rutgers postdocs are doing!
URL:https://radcollaboratory.rutgers.edu/event/2026-postdoctoral-research-symposium/
LOCATION:RWJMS Research Tower\, 675 Hoes Lane W\, Piscataway\, NEW JERSEY\, 08854\, United States
CATEGORIES:Rutgers Events
ORGANIZER;CN="Rutgers Postdoctoral Association":MAILTO:rutgerspda@gmail.com
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BEGIN:VEVENT
DTSTART;TZID=UTC:20270409T080000
DTEND;TZID=UTC:20270409T140000
DTSTAMP:20260801T025316
CREATED:20260518T080000Z
LAST-MODIFIED:20260518T203052Z
UID:3054-1807257600-1807279200@radcollaboratory.rutgers.edu
SUMMARY:RAD Collaboratory Research Symposium
DESCRIPTION:The Rutgers Artificial Intelligence and Data Science (RAD) Collaboratory is pleased to announce that its second annual Research Symposium will be held on Friday\, April 9\, 2027 at the Busch Student Center. \nThis in-person symposium brings together Rutgers faculty\, research staff\, postdoctoral fellows\, students\, and partners from industry to showcase data science and artificial intelligence research through keynote lectures\, and Rutgers faculty and industry panel discussions\, followed by a trainee poster session.   \nThe event aligns with the RAD Collaboratory\, a New Brunswick Chancellor Signature Initiative overseen by The Rutgers–New Brunswick Office for Research that advances collaborative data science and AI/ML research\, student programming\, and community engagement across Rutgers.  \nFor more information and to register: go.rutgers.edu/rad_symposium \nThis symposium is made possible with funding and support provided by the Rutgers-New Brunswick Office of the Chancellor\, the Rutgers-New Brunswick Office for Research\, and the Rutgers University Office of the Executive Vice President for Academic Affairs.
URL:https://radcollaboratory.rutgers.edu/event/research-symposium-2027/
CATEGORIES:RAD Collaboratory Events,Rutgers Events
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