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PRODID:-//The Rutgers Artificial Intelligence and Data Science (RAD) Collaboratory - ECPv6.11.2//NONSGML v1.0//EN
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X-WR-CALNAME:The Rutgers Artificial Intelligence and Data Science (RAD) Collaboratory
X-ORIGINAL-URL:https://live-rutgers-data-science-and-ai-collaboratory.pantheonsite.io
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
TZOFFSETTO:+0000
TZNAME:UTC
DTSTART:20240101T000000
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BEGIN:VEVENT
DTSTART;TZID=UTC:20250314T093000
DTEND;TZID=UTC:20250314T140000
DTSTAMP:20260918T214521
CREATED:20250227T080047Z
LAST-MODIFIED:20250227T194059Z
UID:1929-1741944600-1741960800@live-rutgers-data-science-and-ai-collaboratory.pantheonsite.io
SUMMARY:New Jersey Big Data Alliance Research Collaboration Forum
DESCRIPTION:Join the New Jersey Big Data Alliance for their Research Collaboration Forum focused on “AI Synergy Transforming Education\, Workforce\, and Industry-Academic Collaborations” on March 14\, 2025. \n\nRegistration: https://www.ticketleap.events/tickets/newjerseybda/researchforum2025 \nDescription: Agenda Details and Featured Speakers  \nThe New Jersey Big Data Alliance is convening NJBDA Research Forum for the R1s through the community colleges and is open to all research professionals\, faculty\, research computing professionals\, students\, and other campus partners interested in shaping the Big Data and AI research collaboration landscape. \nResearch Collaboration Forum Highlights: \n\n Big Data and AI Research Collaborations\n Communities and Resources for Advancing Collaborations\nFunding Opportunities\nEstablish Contacts with the New Jersey Big Data & AI Research Community\n\nTime & Location: \n\nDate:  Friday\, March 14\, 2025\nTime: 9:30 am – 2:00 pm\nLocation: Rider University\,  NJM Community Room  (Room 245)\, Bart Luedeke Center\, 2083 Lawrenceville Road\, Lawrenceville\, NJ 08648\n\n\n\nQuestions: Contact Forough Ghahramani at research@njedge.net
URL:https://live-rutgers-data-science-and-ai-collaboratory.pantheonsite.io/event/njbda-research-collab-forum/
CATEGORIES:Regional/National Events
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20250310T100000
DTEND;TZID=UTC:20250310T113000
DTSTAMP:20260918T214521
CREATED:20250306T080043Z
LAST-MODIFIED:20250306T183558Z
UID:2078-1741600800-1741606200@live-rutgers-data-science-and-ai-collaboratory.pantheonsite.io
SUMMARY:Training: Introduction to Github and Website Hosting
DESCRIPTION:Join Rutgers University Libraries for their “Data Science Basics: Introduction to Github and Website Hosting” training on Monday\, March 10\, 2025. \nCreate your own website for a personal project or portfolio using Github to host it. Participants will learn basic HTML and use of Git. No previous coding experience is needed. \nPlease download Notepad ++ https://notepad-plus-plus.org/ and create a Github account https://github.com/signup?source=form-home-signup before the workshop. \nTime & Location: \n\nDate:  Monday\, March 10\, 2025\nTime: 10:00am – 11:30 am\nLocation: This is an online event. Event URL will be sent via registration email.\n\n\n\nClick here for more information and to register.
URL:https://live-rutgers-data-science-and-ai-collaboratory.pantheonsite.io/event/rul-march10/
CATEGORIES:Rutgers Events
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20250307T130000
DTEND;TZID=UTC:20250307T143000
DTSTAMP:20260918T214521
CREATED:20250306T080004Z
LAST-MODIFIED:20250306T183454Z
UID:2076-1741352400-1741357800@live-rutgers-data-science-and-ai-collaboratory.pantheonsite.io
SUMMARY:Training: Coding and Queries in NVivo
DESCRIPTION:Join Rutgers University Libraries for their “Coding and Queries in NVivo” training on Friday\, March 7\, 2025. \nNVivo is a qualitative data analysis software that helps researchers manage\, code\, and markup 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 conducted by Xu Guo\, Graduate Specialist for Qualitative Research Methods at New Brunswick Libraries (NBL). \nTime & Location: \n\nDate:  Friday\, March 7\, 2025\nTime: 1:00pm – 2:30 pm\nLocation: This is an online event. Event URL will be sent via registration email.\n\n\n\nClick here for more information and to register.
URL:https://live-rutgers-data-science-and-ai-collaboratory.pantheonsite.io/event/nbl-march7/
CATEGORIES:Rutgers Events
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20250307T080000
DTEND;TZID=UTC:20250307T133000
DTSTAMP:20260918T214521
CREATED:20250210T080033Z
LAST-MODIFIED:20250227T194454Z
UID:1844-1741334400-1741354200@live-rutgers-data-science-and-ai-collaboratory.pantheonsite.io
SUMMARY:AI Tools for Agriculture\, A Farm to Roundtable Conference
DESCRIPTION:Join Rutgers University\, Rowan University\, and the NJ Big Data Alliance for the AI Tools for Agriculture\, A Farm to Roundtable Conference on Friday\, March 7\, 2025. \n\nTo register\, click here – use code INVITE. Contact Hieu Nguyen\, Professor of Mathematics at Rowan University\, if you have any questions: nguyen@rowan.edu \nFor more information\, visit: https://njbda.org/event/ai-tools-for-agriculture/
URL:https://live-rutgers-data-science-and-ai-collaboratory.pantheonsite.io/event/ai-tools-for-agriculture/
CATEGORIES:Regional/National Events,Rutgers Events
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20250305T130000
DTEND;TZID=UTC:20250305T150000
DTSTAMP:20260918T214521
CREATED:20250207T080056Z
LAST-MODIFIED:20250303T173733Z
UID:1806-1741179600-1741186800@live-rutgers-data-science-and-ai-collaboratory.pantheonsite.io
SUMMARY:Data Science Networking Event
DESCRIPTION:Join the RAD Collaboratory for a Networking Event focused on Data Science on Wednesday\, March 5\, 2025. \nClick here to register – please register by Friday\, February 28 at 5:00pm EST \n\nAgenda: Click here for a PDF of the meeting agenda. \n\nLightning talks from Rutgers researchers assembling and managing large data sets.\nBriefings on best practices\, cyberinfrastructure resources\, and training opportunities.\nBrainstorming on federal\, state\, and private funding mechanisms for RAD partnerships.\n\nRequest for Lightning Talks: For those who manage Rutgers data assets\, you are invited to submit a presentation title and summary to present a 5-minute Lightning Talk at the March 5 event when you register. Please apply by Monday\, February 24. Applicants will be notified by Friday\, February 28.  \nTime & Location: \n\nDate:  Wednesday\, March 5\, 2025\nTime: 1:00 pm – 3:00 pm (Light reception to follow)\nLocation: Room 120\, Institute for Quantitative Biomedicine (building labeled Proteomics).\n\n\n\nParking: \n\n\nRutgers Students\, Staff\, and Faculty:  Please adhere to parking permit restrictions. Faculty and staff with valid permits may park in the Faculty and Staff lots across campus.\n\nLot 58: 165 Bevier Rd\, Piscataway\, NJ 08854\nLots A\, B\, and C: 679 Hoes Lane West\, Piscataway\, NJ 08854\n\n\n\n\nParticipants not affiliated with Rutgers: Please contact the IQB Building Manager\, Hank Wojciechowski\, at henry.wojciechowski@rutgers.edu with the following information: License State; License Number; Make; Model; Year; Color; and Registered Owner of Vehicle. Parking for participants not affiliated with Rutgers will be available in Lots A\, B\, and C (Address: 679 Hoes Lane West\, Piscataway\, NJ 08854). Important Reminder: Please adhere to parking lot signage\, as an ePermit does not override signage such as “guaranteed” or “reserved” parking.\n\n\n\n\nRutgers Bus System: If you’re using the Rutgers bus system\, the Alison Road Classroom (ARC) Building/Science Buildings bus stop is a short walk to IQB. The C\, REXB\, B\, A\, H\, and BL bus routes all stop at ARC. \nQuestions: Contact Michelle Sanghera at msanghera@iqb.rutgers.edu
URL:https://live-rutgers-data-science-and-ai-collaboratory.pantheonsite.io/event/ds-networking/
CATEGORIES:RAD Collaboratory Events,Rutgers Events
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20250218T093000
DTEND;TZID=UTC:20250218T110000
DTSTAMP:20260918T214521
CREATED:20250207T080029Z
LAST-MODIFIED:20250207T205632Z
UID:1813-1739871000-1739876400@live-rutgers-data-science-and-ai-collaboratory.pantheonsite.io
SUMMARY:AI/DL Tutorials: Introduction to Deep Learning
DESCRIPTION:The RAD Collaboratory is pleased to invite you to apply for a seat in four related Hands-on Artificial Intelligence/Deep Learning (AI/DL) Tutorials. \nInstructors: \n\nDr. Zhao Zhang\, Assistant Professor\, School of Engineering – ECE\nDr. Stephen K. Burley\, University Professor\, School of Arts and Sciences – C&CB\n\nDescription of Training Program:\nFour related in-person hands-on tutorials scheduled throughout Spring Semester 2025 will help prepare Rutgers masters students\, PhD students\, postdoctoral fellows\, and faculty for success in research utilizing Artificial Intelligence (AI) and Deep Learning (DL) tools. We will use the Frontera supercomputer for hands-on exercises that reinforce learnings from short informative lectures. \nTutorial Dates/Topics:\nI. February 18th – Introduction to Deep Learning\nII. March 18th – Introduction to PyTorch\nIII. April 15th – Distributed Neural Network Training\nIV. April 29th – Large Language Models and their Applications in Science and Engineering \nWe will be using TACC Frontera RTX 5000 GPUs for all four Tutorials. You must have a Frontera account to run the hands-on exercises. Applicants who do not already have a TACC account must request one at https://tacc.utexas.edu/portal/login?from=/portal/. Getting approval and setting up the multi-factor authentication may take a few days. \nTutorials will be limited to 50 participants. Apply at: https://go.rutgers.edu/4gxadebw. Applications are due by Wednesday\, February 12\, 2025 at 11:59pm EST.
URL:https://live-rutgers-data-science-and-ai-collaboratory.pantheonsite.io/event/ai-dl-deep-learning/
CATEGORIES:RAD Collaboratory Events,Rutgers Events
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20250210T154500
DTEND;TZID=UTC:20250210T170000
DTSTAMP:20260918T214521
CREATED:20250210T080042Z
LAST-MODIFIED:20250210T144652Z
UID:1825-1739202300-1739206800@live-rutgers-data-science-and-ai-collaboratory.pantheonsite.io
SUMMARY:Seminar: Data Science/AI for Extreme Events: Climate and Biodiversity
DESCRIPTION:Rutgers University-New Brunswick \n\n\n\n\nSchool of Environmental and Biological Sciences\, Department of Environmental Sciences  \nFaculty Candidate Seminar \nData Science/AI for Extreme Events: Climate and Biodiversity \nHybrid Seminar \n \nDr. Yanlei Feng \nMassachusetts Institute of Technology \nForests Under a Changing Climate: Increasing Extreme Storms Uproot More Trees and Impact Forest Carbon Dynamics \nMonday February 10\, 2025 at 3:45 p.m. \nRoom 101\, IFNH bldg. or Remote Live option \n\n\n\n\nHost: Anthony Broccoli
URL:https://live-rutgers-data-science-and-ai-collaboratory.pantheonsite.io/event/seminar-climate/
CATEGORIES:Rutgers Events
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20250205T150000
DTEND;TZID=UTC:20250205T170000
DTSTAMP:20260918T214521
CREATED:20250123T080023Z
LAST-MODIFIED:20250207T200807Z
UID:1750-1738767600-1738774800@live-rutgers-data-science-and-ai-collaboratory.pantheonsite.io
SUMMARY:Artificial Intelligence in Biomedical Research and Medicine: Implications for Neurological and Psychiatric Diseases
DESCRIPTION:Join the Rutgers NeuroTechnology Innovation Center for their NTICe Innovation Forum on Artificial Intelligence in Biomedical Research and Medicine on Wednesday\, February 5\, 2025. \nRegistration: Email Denise Fedele at denise.fedele@rutgers.edu \nDescription: Artificial Intelligence in Biomedical Research and Medicine: Implications for Neurological and Psychiatric Diseases. Featuring presentations by: \n\nW. Evan Johnson\, PhD\, Director\, Center for Data Science\, Center for Immunity & Inflammation\, Department of Medicine\, NJMS\, Rutgers Health\nAmy Rockman\, Manager\, Data Analytics\, Office of Clinical and Health Affairs\, Director\, Artificial Intelligence\, Center of Excellence\, RWJBarnabas\, Rutgers Health\nJudah Goldschmiedt\, MD\, Director\, Radiology Informatics\, Department of Radiology\, NJMS\, Rutgers Health\nDaniel Donoho\, MD\, Assistant Professor of Neurological Surgery\, George Washington University School of Medicine and Health Sciences\n\nA panel discussion will follow. Light refreshments to be provided.This event aims to provide the opportunity for discussion with AI experts at Rutgers to foster collaborations that can advance the understanding and use of AI in medicine\, translational research\, and neurotechnology development. \nTime & Location: \n\nDate:  Wednesday\, February 5\, 2025\nTime: 3:00 pm – 5:00 pm\nLocation: Clinical Academic Building\, room 3405\, 125 Paterson Street\, New Brunswick\, NJ 08901.  Public parking is available at the Paterson parking deck across the street. Attendees with Rutgers parking permits can contact Denise Fedele at denise.fedele@rutgers.edu to arrange validated parking.\n\n\n\nQuestions: Contact Denise Fedele at denise.fedele@rutgers.edu \n 
URL:https://live-rutgers-data-science-and-ai-collaboratory.pantheonsite.io/event/ai-biomedical-research-medicine/
CATEGORIES:Rutgers Events
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20250124T120000
DTEND;TZID=UTC:20250124T130000
DTSTAMP:20260918T214521
CREATED:20250123T080000Z
LAST-MODIFIED:20250123T220054Z
UID:1739-1737720000-1737723600@live-rutgers-data-science-and-ai-collaboratory.pantheonsite.io
SUMMARY:Webinar: Open Science Grid (OSG) and Partnership to Advance Throughput Computing (PATh)
DESCRIPTION:Join Edge for the Open Science Grid and Partnership to Advance Throughput Computing webinar on Friday\, January 24\, 2025. \nRegistration: Click here to register. \nDescription: OSG (Open Science Grid) and PATh (Partnership to Advance Throughput Computing). PATh is a partnership launched by the NSF in 2020 between UW-Madison Center for High Throughput Computing (CHTC) and the OSG Consortium to advance Throughput Computing. Established in 2005\, the OSG Consortium operates a fabric of distributed High Throughput Computing (dHTC) services in support of the National Science & Engineering community. The research collaborations\, campuses\, national laboratories\, and software providers that form the consortium are unified in their commitment to advance open science via these services. \n\nSpeaker: Miron Levny\, John P. Morgridge Professor of Computer Science\, UW Center for High Throughput Computing\, Technical Director of the OSG Morgridge Institute for Research\, University of Wisconsin \nThis webinar is made possible with support from the National Science Foundation – CC* Regional Networking: Connectivity through Regional Infrastructure for Scientific Partnerships\, Innovation\, and Education (CRISPIE) project (NSF OAC- NSF0311528).  \nEdge serves as a member-owned\, nonprofit provider of high performance optical fiber networking and internetworking\, Internet2\, and a vast array of best-in-class technology solutions for cybersecurity\, educational technologies\, cloud computing\, and professional managed services. Edge provides these solutions to colleges and universities\, K-12 school districts\, government entities\, hospital networks and nonprofit business entities as part of a membership-based consortium.  Edge’s common good mission ensures success by empowering members for digital transformation with affordable\, reliable and thought-leading purpose-built\, advanced connectivity\, technologies and services. \nQuestions: Contact Forough Ghahramani at forough.ghahramani@njedge.net
URL:https://live-rutgers-data-science-and-ai-collaboratory.pantheonsite.io/event/osg-and-path/
CATEGORIES:Regional/National Events
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20250122T130000
DTEND;TZID=UTC:20250122T150000
DTSTAMP:20260918T214521
CREATED:20250121T080003Z
LAST-MODIFIED:20250123T220106Z
UID:1730-1737550800-1737558000@live-rutgers-data-science-and-ai-collaboratory.pantheonsite.io
SUMMARY:RAD Collaboratory Inaugural Networking Event
DESCRIPTION:Please join us for the Inaugural Networking Event of the Rutgers Artificial Intelligence and Data Science (RAD) Collaboratory on Wednesday\, January 22\, 2025. \nRegistration: Click here to register. \nDiscussion Topics: \n\nVision\, Mission\, and Structure of the RAD Collaboratory.\n\nSupport for development of multi-Principal Investigator AI/ML and Data Science research projects and federal grant applications. \n\n\nCall for applications for Postdoctoral Fellowships in AI/ML and Data Science. \n\n\nHands-On AI/ML Training Sessions: Scheduled for Feb 18th\, Mar 18th\, and Apr 8th. \n\n\nSupport for undergraduate researchers in AI/ML and Data Science. \n\n\nEvent programming for Spring Semester 2025. \n\n\nTime & Location: \n\nDate:  Wednesday\, January 22\nTime: 1:00 pm – 3:00 pm (Light reception to follow)\nLocation: Room 120\, Institute for Quantitative Biomedicine (Building labeled Proteomics)\n\nWe encourage all attendees to bring their laptops for the first portion of the event. \n\nParking Information: \n\n\nRutgers Students\, Staff\, and Faculty:  Please adhere to parking permit restrictions. Faculty and staff with valid permits may park in the Faculty and Staff lots across campus. Please adhere to parking permit restrictions. Faculty and staff with valid permits may park in the Faculty & Staff lots across all campuses.\n\n\n\n\nLot 58: 165 Bevier Rd\, Piscataway\, NJ 08854\nLots A\, B\, and C: 679 Hoes Lane West\, Piscataway\, NJ 08854\n\n\n\n\nParticipants not affiliated with Rutgers: Please contact the IQB Building Manager\, Hank Wojciechowski\, at henry.wojciechowski@rutgers.edu with the following information: License State; License Number; Make; Model; Year; Color; and Registered Owner of Vehicle. Parking for participants not affiliated with Rutgers will be available in Lots A\, B\, and C (Address: 679 Hoes Lane West\, Piscataway\, NJ 08854). Important Reminder: Please adhere to parking lot signage\, as an ePermit does not override signage such as “guaranteed” or “reserved” parking.\n\n\n\n\nQuestions: Contact Michelle Sanghera at msanghera@iqb.rutgers.edu
URL:https://live-rutgers-data-science-and-ai-collaboratory.pantheonsite.io/event/inaugural-networking-event/
CATEGORIES:RAD Collaboratory Events,Rutgers Events
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20241016
DTEND;VALUE=DATE:20241017
DTSTAMP:20260918T214521
CREATED:20241001T210803Z
LAST-MODIFIED:20241004T141640Z
UID:1118-1729036800-1729123199@live-rutgers-data-science-and-ai-collaboratory.pantheonsite.io
SUMMARY:The RAD Collaboratory Launches!
DESCRIPTION:The Launch of the RAD Collaboratory
URL:https://live-rutgers-data-science-and-ai-collaboratory.pantheonsite.io/event/the-rad-collaboratory-launches/
END:VEVENT
END:VCALENDAR