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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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DTSTART:20250101T000000
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BEGIN:VEVENT
DTSTART;TZID=UTC:20250124T120000
DTEND;TZID=UTC:20250124T130000
DTSTAMP:20260424T134616
CREATED:20250123T080000Z
LAST-MODIFIED:20250123T220054Z
UID:1739-1737720000-1737723600@radcollaboratory.rutgers.edu
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://radcollaboratory.rutgers.edu/event/osg-and-path/
LOCATION:NJ
CATEGORIES:Regional/National Events
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20250205T150000
DTEND;TZID=UTC:20250205T170000
DTSTAMP:20260424T134616
CREATED:20250123T080023Z
LAST-MODIFIED:20250207T200807Z
UID:1750-1738767600-1738774800@radcollaboratory.rutgers.edu
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://radcollaboratory.rutgers.edu/event/ai-biomedical-research-medicine/
LOCATION:NJ
CATEGORIES:Rutgers Events
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20250210T154500
DTEND;TZID=UTC:20250210T170000
DTSTAMP:20260424T134616
CREATED:20250210T080042Z
LAST-MODIFIED:20250210T144652Z
UID:1825-1739202300-1739206800@radcollaboratory.rutgers.edu
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://radcollaboratory.rutgers.edu/event/seminar-climate/
LOCATION:NJ
CATEGORIES:Rutgers Events
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20250218T093000
DTEND;TZID=UTC:20250218T110000
DTSTAMP:20260424T134616
CREATED:20250207T080029Z
LAST-MODIFIED:20250207T205632Z
UID:1813-1739871000-1739876400@radcollaboratory.rutgers.edu
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://radcollaboratory.rutgers.edu/event/ai-dl-deep-learning/
LOCATION:NJ
CATEGORIES:RAD Collaboratory Events,Rutgers Events
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20250305T130000
DTEND;TZID=UTC:20250305T150000
DTSTAMP:20260424T134616
CREATED:20250207T080056Z
LAST-MODIFIED:20250303T173733Z
UID:1806-1741179600-1741186800@radcollaboratory.rutgers.edu
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://radcollaboratory.rutgers.edu/event/ds-networking/
LOCATION:NJ
CATEGORIES:RAD Collaboratory Events,Rutgers Events
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20250307T080000
DTEND;TZID=UTC:20250307T133000
DTSTAMP:20260424T134616
CREATED:20250210T080033Z
LAST-MODIFIED:20250227T194454Z
UID:1844-1741334400-1741354200@radcollaboratory.rutgers.edu
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://radcollaboratory.rutgers.edu/event/ai-tools-for-agriculture/
LOCATION:NJ
CATEGORIES:Regional/National Events,Rutgers Events
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20250307T130000
DTEND;TZID=UTC:20250307T143000
DTSTAMP:20260424T134616
CREATED:20250306T080004Z
LAST-MODIFIED:20250306T183454Z
UID:2076-1741352400-1741357800@radcollaboratory.rutgers.edu
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://radcollaboratory.rutgers.edu/event/nbl-march7/
LOCATION:NJ
CATEGORIES:Rutgers Events
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20250310T100000
DTEND;TZID=UTC:20250310T113000
DTSTAMP:20260424T134616
CREATED:20250306T080043Z
LAST-MODIFIED:20250306T183558Z
UID:2078-1741600800-1741606200@radcollaboratory.rutgers.edu
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://radcollaboratory.rutgers.edu/event/rul-march10/
LOCATION:NJ
CATEGORIES:Rutgers Events
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20250314T093000
DTEND;TZID=UTC:20250314T140000
DTSTAMP:20260424T134616
CREATED:20250227T080047Z
LAST-MODIFIED:20250227T194059Z
UID:1929-1741944600-1741960800@radcollaboratory.rutgers.edu
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://radcollaboratory.rutgers.edu/event/njbda-research-collab-forum/
LOCATION:NJ
CATEGORIES:Regional/National Events
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20250318T093000
DTEND;TZID=UTC:20250318T110000
DTSTAMP:20260424T134616
CREATED:20250207T080054Z
LAST-MODIFIED:20250207T205710Z
UID:1817-1742290200-1742295600@radcollaboratory.rutgers.edu
SUMMARY:AI/DL Tutorials: Introduction to PyTorch
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://radcollaboratory.rutgers.edu/event/ai-dl-pytorch/
LOCATION:NJ
CATEGORIES:RAD Collaboratory Events,Rutgers Events
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20250324T100000
DTEND;TZID=UTC:20250324T113000
DTSTAMP:20260424T134616
CREATED:20250320T080026Z
LAST-MODIFIED:20250320T193034Z
UID:2220-1742810400-1742815800@radcollaboratory.rutgers.edu
SUMMARY:Training: Data Science basics
DESCRIPTION:Join Rutgers University Libraries for their “Data Science Basics” training on Monday\, March 24\, 2025. \nBring your questions about coding to this open session! Questions about coding in Python\, R\, SQL\, and Git will be answered. Other questions related to coding or job searching as a student are also welcome. \nFeel free to submit your questions in advance to Burlyn Andall-Blake at bra43@scarletmail.rutgers.edu\, or just drop in with your questions. While this is an informal session\, we do ask that you register in advance to receive the Zoom link. \nTime & Location: \n\nDate: Monday\, March 24\, 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://radcollaboratory.rutgers.edu/event/rul-march24/
LOCATION:NJ
CATEGORIES:Rutgers Events
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20250324T140000
DTEND;TZID=UTC:20250324T153000
DTSTAMP:20260424T134616
CREATED:20250320T080058Z
LAST-MODIFIED:20250320T193726Z
UID:2223-1742824800-1742830200@radcollaboratory.rutgers.edu
SUMMARY:Training: Demystifying Generative AI
DESCRIPTION:Join Rutgers University Libraries for their “Demystifying Generative AI” training on Monday\, March 24\, 2025. \nThis workshop offers a beginner-friendly introduction to generative AI\, exploring its capabilities\, limitations\, and applications in personal and professional contexts. Participants will learn to separate facts from myths\, uncover best practices\, and discover how to use this transformative technology effectively and ethically. \nWorkshop conducted via Zoom. Register at https://libcal.rutgers.edu/event/14015494 to receive the Zoom link with instructions on how to connect. \nSupplemental materials are available at https://libguides.rutgers.edu/datascience/python \nInstructor: Tanya Khanna \nTime & Location: \n\nDate:  Monday\, March 24\, 2025\nTime: 2:00pm – 3:30 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://radcollaboratory.rutgers.edu/event/rul-march24-2/
LOCATION:NJ
CATEGORIES:Rutgers Events
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20250328T140000
DTEND;TZID=UTC:20250328T150000
DTSTAMP:20260424T134616
CREATED:20250320T080055Z
LAST-MODIFIED:20250320T194236Z
UID:2225-1743170400-1743174000@radcollaboratory.rutgers.edu
SUMMARY:Training: Which Citation Manager?
DESCRIPTION:Join Rutgers University Libraries for their “Which Citation Manager?” training on Friday\, March 28\, 2025. \nThis workshop will provide students with an overview of the main features of three of the most popular citation management software programs –RefWorks and Zotero. Learn which may be best for your research purposes. \nInstructors: Jonathan Torres (Business Librarian) \nTime & Location: \n\nDate:  Friday\, March 28\, 2025\nTime: 2:00pm – 3:00 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://radcollaboratory.rutgers.edu/event/rul-march28/
LOCATION:NJ
CATEGORIES:Rutgers Events
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20250331T140000
DTEND;TZID=UTC:20250331T153000
DTSTAMP:20260424T134616
CREATED:20250320T080050Z
LAST-MODIFIED:20250320T194218Z
UID:2227-1743429600-1743435000@radcollaboratory.rutgers.edu
SUMMARY:Training: Large Language Models
DESCRIPTION:Join Rutgers University Libraries for their “Large Language Models” training on Monday\, March 31\, 2025. \nThis workshop introduces the basics of Large Language Models (LLMs)\, covering their foundations\, capabilities\, and practical applications. Learn how to implement LLMs\, explore best practices\, and responsibly integrate them into real-world projects. \nWorkshop conducted via Zoom. Register at https://libcal.rutgers.edu/event/14015496 to receive the Zoom link with instructions on how to connect. \nSupplemental materials are available at https://libguides.rutgers.edu/datascience/python \nInstructor: Tanya Khanna \nTime & Location: \n\nDate:  Monday\, March 31\, 2025\nTime: 2:00pm – 3:30 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://radcollaboratory.rutgers.edu/event/rul-march31/
LOCATION:NJ
CATEGORIES:Rutgers Events
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20250401T124500
DTEND;TZID=UTC:20250401T134500
DTSTAMP:20260424T134616
CREATED:20250320T080050Z
LAST-MODIFIED:20250320T194447Z
UID:2229-1743511500-1743515100@radcollaboratory.rutgers.edu
SUMMARY:Training: Introduction to Citation Management
DESCRIPTION:Join Rutgers University Libraries for their “Introduction to Citation Management” training on Tuesday\, April 1\, 2025. \nStruggling with citations? Learn how Refworks and other citation management software can make the citation process painless. \nRegistration link: https://go.rutgers.edu/citation \nTime & Location: \n\nDate:  Tuesday\, April 1\, 2025\nTime: 12:45pm – 1:45 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://radcollaboratory.rutgers.edu/event/rul-april1/
LOCATION:NJ
CATEGORIES:Rutgers Events
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20250402T140000
DTEND;TZID=UTC:20250402T153000
DTSTAMP:20260424T134616
CREATED:20250320T080019Z
LAST-MODIFIED:20250320T194856Z
UID:2231-1743602400-1743607800@radcollaboratory.rutgers.edu
SUMMARY:Training: Data Publication 2
DESCRIPTION:Join Rutgers University Libraries for their “Data Publication 2” training on Wednesday\, April 2\, 2025. \nSharing your data and code is the essential step in maximizing the impact and usefulness of your research. \nThis workshop first reviews repositories for data publication such as Dataverse\, ICPSR\, OSF\, Zenodo\, and more. Then we turn to a detailed discussion of building R packages. \nR Packages are an excellent way to distribute collections of data and code. Following on the release of the 2nd edition of Hadley Wickham’s R Packages book\, this workshop reviews the package creation process\, covering prerequisites\, the steps involved in creating a complete package\, and following up on documentation and testing. \nPart of the Data Topics series of workshops. \nWorkshop conducted via Zoom. Register at https://libcal.rutgers.edu/event/13352179 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 \nTime & Location: \n\nDate:  Wednesday\, April 2\, 2025\nTime: 2:00pm – 3:30 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://radcollaboratory.rutgers.edu/event/rul-april2/
LOCATION:NJ
CATEGORIES:Rutgers Events
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20250402T150000
DTEND;TZID=UTC:20250402T160000
DTSTAMP:20260424T134616
CREATED:20250320T080023Z
LAST-MODIFIED:20250320T195113Z
UID:2233-1743606000-1743609600@radcollaboratory.rutgers.edu
SUMMARY:Training: Fundamentals of SAS
DESCRIPTION:Join Rutgers University Libraries for their “Fundamentals of SAS” training on Wednesday\, April 2\, 2025. \nThis workshop will teach students how to explore and access SAS data sets\, import and export non-SAS file formats\, and manipulate data with formulas and assignment statements. All skill levels are welcomed! \nInstructor: Jonathan Torres (Business Librarian) \nTime & Location: \n\nDate:  Wednesday\, April 2\, 2025\nTime: 3:00pm – 4:00 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://radcollaboratory.rutgers.edu/event/rul-april2-2/
LOCATION:NJ
CATEGORIES:Rutgers Events
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20250403T100000
DTEND;TZID=UTC:20250403T140000
DTSTAMP:20260424T134616
CREATED:20250212T080009Z
LAST-MODIFIED:20250311T132240Z
UID:1868-1743674400-1743688800@radcollaboratory.rutgers.edu
SUMMARY:Climate\, Energy and AI Convergence Café
DESCRIPTION:The Rutgers Climate and Energy Institute is hosting a Convergence Cafe on Thursday\, April 3 at 10 am to 2pm. \n\nThis Convergence Café aims to bring together RCEI affiliate scholars and other full-time Rutgers faculty and staff (or a representative from their lab) to mobilize interdisciplinary teams focused on the intersection of AI/ML and the RCEI Focus Areas.\n\n\nThis event is for you if you are: \n\nInterested in learning how other Rutgers scholars incorporate AI/ML into their work.\nSearching for a collaborator to team with for research funding.\nLooking to increase your chances of success within highly competitive programs.\nIn need of planning funds to get your project off the ground.\n\nThis Convergence Café will consist of plenary talks\, lightning talks associated with common methodology themes (data processing\, pattern recognition\, process optimization/automation\, object detection/classification\, projection/prediction models)\, and networking sessions centered on broad themes within the nexus of Climate\, Energy and AI. \nRegister here by March 30\, 2025. Please register again even if you previously signed up for the February event. \n\n\n\n\nFor more information\, visit https://rcei.rutgers.edu/about/convergence-cafes/  
URL:https://radcollaboratory.rutgers.edu/event/rcei-cafe/
LOCATION:NJ
CATEGORIES:Rutgers Events
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20250403T150000
DTEND;TZID=UTC:20250403T163000
DTSTAMP:20260424T134616
CREATED:20250320T080025Z
LAST-MODIFIED:20250320T195324Z
UID:2235-1743692400-1743697800@radcollaboratory.rutgers.edu
SUMMARY:Training: Data Visualization 2
DESCRIPTION:Join Rutgers University Libraries for their “Data Visualization 2” training on Thursday\, April 3\, 2025. \n\n\nCreating interactive visualizations with Shiny in RStudio\, and delivering Shiny visualizations on the web and hosting a Shiny server. \nWorkshop conducted via Zoom.  Register at https://libcal.rutgers.edu/event/13353226 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\nTime & Location: \n\nDate:  Thursday\, April 3\, 2025\nTime: 3:00pm – 4:30 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://radcollaboratory.rutgers.edu/event/rul-april3/
LOCATION:NJ
CATEGORIES:Rutgers Events
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20250407T140000
DTEND;TZID=UTC:20250407T153000
DTSTAMP:20260424T134616
CREATED:20250320T080037Z
LAST-MODIFIED:20250320T195528Z
UID:2237-1744034400-1744039800@radcollaboratory.rutgers.edu
SUMMARY:Training: Generative AI Applications with AI Agents
DESCRIPTION:Join Rutgers University Libraries for their “Generative AI Applications with AI Agents” training on Monday\, April 7\, 2025. \n\n\nThis workshop explores the integration of generative AI with autonomous agents to create innovative applications that can solve problems\, automate tasks\, and enhance creativity. Participants will learn how generative AI agents combine language models\, tools\, and APIs to perform complex tasks independently. \nWorkshop conducted via Zoom. Register at https://libcal.rutgers.edu/event/14015497 to receive the Zoom link with instructions on how to connect. \nSupplemental materials are available at https://libguides.rutgers.edu/datascience/python \nInstructor: Tanya Khanna \n\n\nTime & Location: \n\nDate:  Monday\, April 7\, 2025\nTime: 2:00pm – 3:30 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://radcollaboratory.rutgers.edu/event/rul-april7/
LOCATION:NJ
CATEGORIES:Rutgers Events
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20250408T130000
DTEND;TZID=UTC:20250408T133000
DTSTAMP:20260424T134616
CREATED:20250320T080037Z
LAST-MODIFIED:20250320T195729Z
UID:2239-1744117200-1744119000@radcollaboratory.rutgers.edu
SUMMARY:Training: Digitization Basics
DESCRIPTION:Join Rutgers University Libraries for their “Digitization  Basics” training on Tuesday\, April 8\, 2025. \n\n\nQuestions to ask\, and things to think about before starting a digital project. \nRegistration link: https://go.rutgers.edu/fg4btz2m \n\n\nTime & Location: \n\nDate:  Tuesday\, April 8\, 2025\nTime: 1:00pm – 1:30 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://radcollaboratory.rutgers.edu/event/training-digitization-basics/
LOCATION:NJ
CATEGORIES:Rutgers Events
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20250408T130000
DTEND;TZID=UTC:20250408T163000
DTSTAMP:20260424T134616
CREATED:20250207T080041Z
LAST-MODIFIED:20250408T131314Z
UID:1810-1744117200-1744129800@radcollaboratory.rutgers.edu
SUMMARY:Artificial Intelligence/Machine Learning Networking Event
DESCRIPTION:Join the RAD Collaboratory for a Networking Event focused on Artificial Intelligence/Machine Learning on Tuesday\, April 8\, 2025. \nRegistration: Click here to register – please register by Monday\, April 7. \n\nAgenda: Click here to download the agenda. \n\nLightning talks focused on the development and application of AI/ML tools\nBriefings on university\, regional\, and national cyberinfrastructure supporting AI/ML research and training opportunities\nSummary of federal\, state\, and private funding mechanisms for RAD partnerships\nLight networking reception\n\nRequest for Lightning Talks: For those who manage Rutgers AI/ML projects\, you are invited to submit a presentation title and summary to present a 5-minute Lightning Talk at the April 8 event when you register. Please indicate your interest by Sunday\, March 30 at 11:59pm EDT. You will be notified by Tuesday\, April 1 if you have been selected to present. \nTime & Location: \n\nDate:  Tuesday\, April 8\, 2025\nTime: 1:00 pm – 4:30 pm\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. Please adhere to parking permit restrictions. Faculty and staff with valid permits may park in the Faculty & Staff lots across all campuses.\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://radcollaboratory.rutgers.edu/event/ai-networking/
LOCATION:NJ
CATEGORIES:RAD Collaboratory Events,Rutgers Events
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20250411T133000
DTEND;TZID=UTC:20250411T143000
DTSTAMP:20260424T134616
CREATED:20250210T080040Z
LAST-MODIFIED:20250404T182323Z
UID:1851-1744378200-1744381800@radcollaboratory.rutgers.edu
SUMMARY:RAISE-25 Panel Discussion: "AI's Impact on Data Science & Informatics Careers"
DESCRIPTION:The Rutgers Edward J. Bloustein School of Planning and Public Policy’s Master of Public Informatics is hosting the RAISE-25 Competition on Friday\, April 11\, 2025. \nAll are invited for an exciting panel discussion exploring the impact of Artificial Intelligence on data science and how informatics careers and job search. Industry leaders and experts will share insights on how AI is reshaping job roles\, which skills are in demand\, and how professionals can stay ahead in this evolving landscape. \nPanelists: \n\n\nCorey Yemen\, Senior Research Fellow\, Center for Appraisal Research and Technology (CART)\, and Director of Data Science at Labcorp\nPoonam Soans\, Chief Data Officer and Director of Application Development\, State of New Jersey\nBalaji Dhamodharan\, Senior Principal Data Scientist\, NXP Semiconductors\, leading MLOps strategy and AI/ML solutions\nUdayan Bose\, Co-founder & CEO\, NetElixir\nKarun Thankachan\, Senior Data Scientist\, Walmart\nMadhumitha Karthikeyan\, Senior Software Engineer III\, Blackhawk Networks\nJim Samuel\, Associate Professor and Executive Director\, Public Informatics\, Rutgers\n\n\n\nLocation: Gov. Florio Forum\, Edward J. Bloustein School of Planning and Public Policy\, 33 Livingston Avenue\, New Brunswick\, NJ 08901 \nFor more information and to register\, visit go.rutgers.edu/RAISE-25-panel \n 
URL:https://radcollaboratory.rutgers.edu/event/raise-25-competition/
LOCATION:NJ
CATEGORIES:Rutgers Events
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20250414T140000
DTEND;TZID=UTC:20250414T153000
DTSTAMP:20260424T134616
CREATED:20250320T080036Z
LAST-MODIFIED:20250320T195945Z
UID:2241-1744639200-1744644600@radcollaboratory.rutgers.edu
SUMMARY:Training: Building Intelligent Recommendation Systems
DESCRIPTION:Join Rutgers University Libraries for their “Building Intelligent Recommendation Systems” training on Monday\, April 14\, 2025. \n\n\nDive into the fascinating world of recommender systems\, the backbone of personalized experiences in today’s digital age. In this workshop\, you’ll uncover how platforms like Netflix\, Amazon\, and Spotify predict what users want. Participants will gain insights into popular algorithms\, including collaborative and content-based filtering\, and apply these techniques to create intelligent recommendation solutions. \nWorkshop conducted via Zoom. Register at https://libcal.rutgers.edu/event/14015499 to receive the Zoom link with instructions on how to connect. \nSupplemental materials are available at https://libguides.rutgers.edu/datascience/python \nInstructor: Tanya Khanna \n\n\nTime & Location: \n\nDate:  Monday\, April 14\, 2025\nTime: 2:00pm – 3:30 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://radcollaboratory.rutgers.edu/event/rul-april14/
LOCATION:NJ
CATEGORIES:Rutgers Events
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20250415T093000
DTEND;TZID=UTC:20250415T143000
DTSTAMP:20260424T134616
CREATED:20250207T080039Z
LAST-MODIFIED:20250207T205935Z
UID:1821-1744709400-1744727400@radcollaboratory.rutgers.edu
SUMMARY:AI/DL Tutorials: Distributed Neural Network Training
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://radcollaboratory.rutgers.edu/event/ai-dl-distributed-neural-network/
LOCATION:NJ
CATEGORIES:RAD Collaboratory Events,Rutgers Events
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20250416T120000
DTEND;TZID=UTC:20250416T130000
DTSTAMP:20260424T134616
CREATED:20250414T080012Z
LAST-MODIFIED:20250416T144334Z
UID:2295-1744804800-1744808400@radcollaboratory.rutgers.edu
SUMMARY:Seminar: Diamond: Democratizing Large Foundation Model Training for Science
DESCRIPTION:The Rutgers University Institute for Quantitative Biomedicine in collaboration with the RAD Collaboratory and the Protein Data Bank invite you to the following seminar: \n  \nZhao Zhang\, Rutgers University \nDiamond: Democratizing Large Foundation Model Training for Science \nWednesday\, April 16 | 12:00 PM \nIn Person: Proteomics Building\, Room 120\nZoom: go.rutgers.edu/gvyyc2xu \nAbstract: \nDiamond is a service designed to facilitate large model training across GPU clusters for scientists. It exposes web user interface to build container images\, manage training jobs\, monitor job progress\, and manage data and provenance across clusters. Diamond relies on Globus Auth\, Globus Transfer/Search\, and Globus Compute for authentication\, data management\, and container/job management. So far\, Diamond has been tested on NCSA Delta\, TACC Frontera\, and Lonestar6. We aim to release the alpha version of Diamond in early April and to support all NAIRR Pilot GPU resources. In this talk\, I will show a demo of running OpenFold using Diamond and discuss various opportunities of applying modern deep learning techniques for structural biology.
URL:https://radcollaboratory.rutgers.edu/event/seminar-april16/
LOCATION:NJ
CATEGORIES:RAD Collaboratory Events,Rutgers Events
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20250417T100000
DTEND;TZID=UTC:20250417T110000
DTSTAMP:20260424T134616
CREATED:20250320T080052Z
LAST-MODIFIED:20250320T200228Z
UID:2243-1744884000-1744887600@radcollaboratory.rutgers.edu
SUMMARY:Training: Sensus Access/Reformatting your documents
DESCRIPTION:Join Rutgers University Libraries for their “Sensus Access/Reformatting your documents” training on Thursday\, April 17\, 2025. \n\n\nJoin us for a hands-on training session on making your documents more accessible! We’ll explore Sensus Access\, a powerful tool that converts PDFs into more accessible formats. We’ll also cover other ways to reformat your documents\, including using built-in features in popular software like Microsoft Office and Adobe Acrobat. By the end of this session\, you’ll have the skills and confidence to make your documents more readable and usable for everyone\, regardless of their abilities. \n\n\nTime & Location: \n\nDate:  Thursday\, April 17\, 2025\nTime: 10:00am – 11:00 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://radcollaboratory.rutgers.edu/event/rul-april17/
LOCATION:NJ
CATEGORIES:Rutgers Events
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20250417T150000
DTEND;TZID=UTC:20250417T163000
DTSTAMP:20260424T134616
CREATED:20250320T080045Z
LAST-MODIFIED:20250320T200415Z
UID:2245-1744902000-1744907400@radcollaboratory.rutgers.edu
SUMMARY:Training: R Data Wrangling
DESCRIPTION:Join Rutgers University Libraries for their “R Data Wrangling” training on Thursday\, April 17\, 2025. \n\n\nSome of the tidyverse’s most powerful features are its abilities to import\, filter\, and otherwise manipulate data.  This session reviews major packages within the tidyverse that relate to the essential data handling steps required before (and during) data analysis. \nWorkshop conducted via Zoom.  Register at https://libcal.rutgers.edu/event/13353261 to receive the Zoom link with instructions on how to connect. \nSupplemental materials are available at https://libguides.rutgers.edu/data_R \nInstructor: Ryan Womack \n\n\nTime & Location: \n\nDate:  Thursday\, April 17\, 2025\nTime: 3:00am – 4:30 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://radcollaboratory.rutgers.edu/event/rul-april17-2/
LOCATION:NJ
CATEGORIES:Rutgers Events
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20250426
DTEND;VALUE=DATE:20250427
DTSTAMP:20260424T134616
CREATED:20250210T080011Z
LAST-MODIFIED:20250210T184529Z
UID:1842-1745625600-1745711999@radcollaboratory.rutgers.edu
SUMMARY:Rutgers Day
DESCRIPTION:Visit the RAD Collaboratory table at Rutgers Day on Saturday\, April 26\, 2025! \nThe table will be located on the Busch campus.
URL:https://radcollaboratory.rutgers.edu/event/rutgers-day/
LOCATION:NJ
CATEGORIES:RAD Collaboratory Events,Rutgers Events
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20250429T093000
DTEND;TZID=UTC:20250429T143000
DTSTAMP:20260424T134616
CREATED:20250207T080050Z
LAST-MODIFIED:20250207T210128Z
UID:1823-1745919000-1745937000@radcollaboratory.rutgers.edu
SUMMARY:AI/DL Tutorials: Large Language Models and their Applications in Science and Engineering
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://radcollaboratory.rutgers.edu/event/ai-dl-llm/
LOCATION:NJ
CATEGORIES:RAD Collaboratory Events,Rutgers Events
END:VEVENT
END:VCALENDAR