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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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DTSTART:20260101T000000
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BEGIN:VEVENT
DTSTART;TZID=UTC:20260410T130000
DTEND;TZID=UTC:20260410T143000
DTSTAMP:20260404T220538
CREATED:20260129T165346Z
LAST-MODIFIED:20260129T165404Z
UID:2774-1775826000-1775831400@radcollaboratory.rutgers.edu
SUMMARY:Coding and Queries in NVivo
DESCRIPTION:NVivo is a qualitative data analysis software that helps researchers manage\, code\, and mark up data for both mixed methods and qualitative studies. This workshop is aimed at NVivo users who have the need to code and analyze qualitative data. It will cover coding and uncoding data\, running queries\, and visualizing coded data. \nThis workshop is presented by Xu Guo\, Qualitative graduate specialist at the New Brunswick Libraries. \nThis is an online event. Event URL will be sent via registration email. \nRegister here: https://libcal.rutgers.edu/event/16253410
URL:https://radcollaboratory.rutgers.edu/event/nvivo3/
CATEGORIES:RAD Collaboratory Events
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BEGIN:VEVENT
DTSTART;TZID=UTC:20260424T130000
DTEND;TZID=UTC:20260424T143000
DTSTAMP:20260404T220538
CREATED:20260129T182844Z
LAST-MODIFIED:20260129T183442Z
UID:2776-1777035600-1777041000@radcollaboratory.rutgers.edu
SUMMARY:Coding and Queries in NVivo
DESCRIPTION:NVivo is a qualitative data analysis software that helps researchers manage\, code\, and mark up data for both mixed methods and qualitative studies. This workshop is aimed at NVivo users who have the need to code and analyze qualitative data. It will cover coding and uncoding data\, running queries\, and visualizing coded data. \nThis workshop is presented by Xu Guo\, Qualitative graduate specialist at the New Brunswick Libraries. \nThis is an online event. Event URL will be sent via registration email. \n\nRegister here: https://libcal.rutgers.edu/event/16253411
URL:https://radcollaboratory.rutgers.edu/event/nvivo4/
CATEGORIES:Rutgers Events
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BEGIN:VEVENT
DTSTART;TZID=UTC:20260429T120000
DTEND;TZID=UTC:20260429T130000
DTSTAMP:20260404T220538
CREATED:20260312T141436Z
LAST-MODIFIED:20260312T141436Z
UID:2967-1777464000-1777467600@radcollaboratory.rutgers.edu
SUMMARY:Data in Motion: Utilizing the Science DMZ and DTNs for Optimal Performance
DESCRIPTION:Learn how to efficiently manage and transfer large-scale datasets using a high-speed science DMZ and Data Transfer Nodes (DTNs). This workshop will cover best practices\, tools\, and strategies to streamline your data workflows while maximizing performance and security. \nTarget Audience: Graduate students\, postdocs\, research computing staff\, principal investigators\, faculty \nPre-requisite: Basic Linux Commands \nThis is a virtual workshop: click here to register \nPlease contact Forough Ghahramani forough.ghahramani@njedge.net for additional information.
URL:https://radcollaboratory.rutgers.edu/event/datainmotion/
CATEGORIES:Rutgers Events
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BEGIN:VEVENT
DTSTART;TZID=UTC:20260430T130000
DTEND;TZID=UTC:20260430T170000
DTSTAMP:20260404T220538
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:20260520T083000
DTEND;TZID=UTC:20260520T153000
DTSTAMP:20260404T220538
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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