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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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TZOFFSETTO:+0000
TZNAME:UTC
DTSTART:20250101T000000
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BEGIN:VEVENT
DTSTART;TZID=UTC:20260410T130000
DTEND;TZID=UTC:20260410T143000
DTSTAMP:20260416T074004
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
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20260401T120000
DTEND;TZID=UTC:20260401T130000
DTSTAMP:20260416T074004
CREATED:20260312T141154Z
LAST-MODIFIED:20260312T141154Z
UID:2966-1775044800-1775048400@radcollaboratory.rutgers.edu
SUMMARY:Mastering Data Transfers on HPC Systems
DESCRIPTION:This is a virtual workshop: click here to register \nEfficient data movement is key to effective HPC usage. This workshop provides a hands-on introduction to transferring data within HPC systems. Gain insights into tools\, techniques\, and troubleshooting tips to handle large datasets with confidence. Target Audiences: Graduate/ undergraduate students\, postdocs\, research computing staff\, faculty \nPre-requisite: Basic Linux system commands. \nPlease contact Forough Ghahramani forough.ghahramani@njedge.net for additional information.
URL:https://radcollaboratory.rutgers.edu/event/hpcsystems/
CATEGORIES:Rutgers Events
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20260327T130000
DTEND;TZID=UTC:20260327T143000
DTSTAMP:20260416T074004
CREATED:20260313T172609Z
LAST-MODIFIED:20260313T172609Z
UID:2983-1774616400-1774621800@radcollaboratory.rutgers.edu
SUMMARY:AI and sustainability event
DESCRIPTION:“What are the Sustainability Impacts of Artificial Intelligence?  And what does this mean for AI governance for sustainability at Rutgers and Beyond?  –  An Expert Panel and Rutgers Community Discussion” \nThis is co-sponsored by Department of Human Ecology\, Center for Sustainability Governance\, Rutgers Office of Climate Action\, and Students for Environmental Action.  We will be having experts from a wide range of fields answer the questions What does your research tell us about AI’s implications for sustainability?  And how do we govern AI sustainably? \nThere are three panelists who will each speak for 15 minutes answering these questions and then will turn to a discussion: \nAbhilash Mishra\, Director\, Kevin Xu Initiative on Science\, Technology and Global Development\, Harris School of Public Policy\, University of Chicago https://harris.uchicago.edu/directory/abhilash-mishra \nKetan Joshi\, a freelance writer and Senior Researcher at Australia Institute who recently published a report on greenwashing AI who will be joining via zoom. \nWilliam Russell\, Project Leader\, AI for Good Initiative\, Rutgers Institute for Corporate Social Innovation \nThe event is scheduled in the Alampi Room in the Marine and Coastal Sciences Building (71 Dudley Rd.\, New Brunswick) on March 27th at (1:00 pm until 2:30.) \nTo join virtually:  go.rutgers.edu/k71l626f
URL:https://radcollaboratory.rutgers.edu/event/march27/
LOCATION:Marine and Coastal Sciences Building\, 71 Dudley Rd\, New Brunswick\, 08901\, United States
CATEGORIES:Rutgers Events
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20260327T130000
DTEND;TZID=UTC:20260327T143000
DTSTAMP:20260416T074004
CREATED:20260129T165158Z
LAST-MODIFIED:20260129T165227Z
UID:2771-1774616400-1774621800@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. \n\nThis is an online event. Event URL will be sent via registration email. \nRegister here: https://libcal.rutgers.edu/event/16253409
URL:https://radcollaboratory.rutgers.edu/event/2771/
CATEGORIES:Rutgers Events
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20260326T083000
DTEND;TZID=UTC:20260326T150000
DTSTAMP:20260416T074004
CREATED:20260312T144745Z
LAST-MODIFIED:20260312T144745Z
UID:2975-1774513800-1774537200@radcollaboratory.rutgers.edu
SUMMARY:Roadmaps AI Week 2026
DESCRIPTION:Register Here! \nROADMAPS AI Week 2026 brings together Rutgers–Newark faculty\, industry leaders\, and AI innovators for a full day of presentations\, discussions\, and hands-on engagement focused on the future of artificial intelligence. Attendees will hear from Rutgers–Newark faculty\, AWS\, OpenMined and gain strategic perspectives from university leadership\, and participate in interactive demonstrations designed to showcase practical AI applications. This event provides a valuable opportunity to learn\, connect\, and explore how AI is shaping research\, education\, and industry. Breakfast and lunch will be provided. A door prize giveaway will occur! To qualify for a chance to win\, attendees must register in advance by March 21st and must also be in attendance on March 26th.
URL:https://radcollaboratory.rutgers.edu/event/roadmaps-ai-week-2026/
LOCATION:Express Newark\, 54 Halsey St\, Newark\, NJ\, 07102\, United States
CATEGORIES:Rutgers Events
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20260324T100000
DTEND;TZID=UTC:20260324T160000
DTSTAMP:20260416T074004
CREATED:20260129T080004Z
LAST-MODIFIED:20260202T220421Z
UID:2778-1774346400-1774368000@radcollaboratory.rutgers.edu
SUMMARY:RAD Collaboratory Research Symposium
DESCRIPTION:The Rutgers Artificial Intelligence and Data Science (RAD) Collaboratory is pleased to announce its inaugural Research Symposium to be held on Tuesday\, March 24\, 2026 at the Douglass 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\, Rutgers faculty and industry panel discussions\, and a trainee poster session\, followed by a community engagement reception.   \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/
LOCATION:Douglas Student Center\, 100 George Street\, New Brunswick\, NJ\, 08901\, United States
CATEGORIES:RAD Collaboratory Events,Rutgers Events
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20260323T130000
DTEND;TZID=UTC:20260323T140000
DTSTAMP:20260416T074004
CREATED:20260312T140242Z
LAST-MODIFIED:20260312T140242Z
UID:2965-1774270800-1774274400@radcollaboratory.rutgers.edu
SUMMARY:Supercharge Your Research: Harnessing HPC Resources
DESCRIPTION:March 23\, 2026 • 1 – 2 PM ET \nThis is a virtual workshop: click here to register \nDiscover how to leverage the power of HPC to advance your research. This session explores practical examples\, workflows\, and strategies for using HPC to solve complex problems\, process large datasets\, and achieve groundbreaking results. Target Audience: Graduate students\, postdocs\, research computing staff\, principal investigators\, faculty Pre-requisite: Basic Linux systems commands\, familiarity HPC scheduling commands. \nAll Workshops Have a Hands-on Component: To fully participate\, attendees are required to:\n1. Have a laptop with a stable internet connection.\n2. Have a basic understanding of using a command-line interface (terminal/shell).\n3. Have a working SSH client installed on their laptop. (e.g.\, PuTTY for Windows\, Terminal for macOS/Linux) \nPlease contact Forough Ghahramani forough.ghahramani@njedge.net for additional information.
URL:https://radcollaboratory.rutgers.edu/event/hpc-resources/
CATEGORIES:Rutgers Events
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20260323T083000
DTEND;TZID=UTC:20260323T180000
DTSTAMP:20260416T074004
CREATED:20260312T144001Z
LAST-MODIFIED:20260312T144001Z
UID:2976-1774254600-1774288800@radcollaboratory.rutgers.edu
SUMMARY:Rutgers Center for Biomedical Informatics & Health AI 2026 Symposium
DESCRIPTION:“Advancing Rutgers Health AI through Research\, Discovery\, and Collaboration”\nRegistration is required: Click here to register \n2026 Symposium\nEvent: Monday\, March 23\, 2026 8:30am – 6:00pm \n\nCollege Avenue Student Center\n\n\n126 College Avenue\nNew Brunswick\, NJ 08901 \n\n\nDon’t miss the opportunity to connect with Rutgers Health biomedical and health AI researchers\, learn about state-of-the-art advances in health AI from academic and industry experts\, explore careers in AI\, and lead the charge in establishing Rutgers as a national and international hub for biomedical informatics and health AI! \n\nKeynote and state-of-the-art biomedical and health AI presentations\nOpportunity to build industry partnerships\nIndustry panel on the challenges of applied general intelligence\nAcademic panel on building partnerships in the era of AI\nBuilding multi-disciplinary trainee community of practice\nPoster session with reception
URL:https://radcollaboratory.rutgers.edu/event/rutgers-center-for-biomedical-informatics-health-ai-2026-symposium/
LOCATION:College Avenue Student Center\, 126 College Avenue\, New Brunswick\, 08901\, United States
CATEGORIES:Rutgers Events
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20260310
DTEND;VALUE=DATE:20260311
DTSTAMP:20260416T074004
CREATED:20260224T165055Z
LAST-MODIFIED:20260224T165055Z
UID:2952-1773100800-1773187199@radcollaboratory.rutgers.edu
SUMMARY:Symposium on AI in Research
DESCRIPTION:Join us for the second event in the inaugural University Librarian’s Symposium Series. The series is designed to engage the entire Rutgers community on timely topics in higher education\, focusing on a different theme for each series. The current theme is Artificial Intelligence in Higher Education. \nThe rapid expansion of artificial intelligence (AI) within higher education has sparked important questions about appropriate use\, environmental footprint\, and potential influence on problem‑solving and creativity. However\, AI is neither new nor a passing trend and has a long history of being used in various programs and applications. What has become an enduring part of the academic landscape requires a proactive and thoughtful exploration of its benefits\, balanced with strategies to minimize potential disruptions. \nThis hybrid event will take place on March 10 from 8:30 a.m. to 3 p.m. in the Teleconference Lecture Hall on the fourth floor of Alexander Library. A light breakfast and lunch will be provided. Remote participation is also available\, and due to space constraints\, participants who are unable to attend for the entire day are encouraged to register for remote attendance. \nRegistration is required.  Click here to register: https://libcal.rutgers.edu/event/16450179
URL:https://radcollaboratory.rutgers.edu/event/symposium-on-ai-in-research/
CATEGORIES:Rutgers Events
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20260306T130000
DTEND;TZID=UTC:20260306T143000
DTSTAMP:20260416T074004
CREATED:20260129T165034Z
LAST-MODIFIED:20260129T183116Z
UID:2769-1772802000-1772807400@radcollaboratory.rutgers.edu
SUMMARY:Introduction to NVivo
DESCRIPTION:NVivo is a qualitative data analysis software that helps researchers manage\, code\, and markup data for both mixed methods and qualitative studies. This workshop introduces the NVivo workspace and basic features\, including organizing data\, making mind maps\, and getting acquainted with data coding. It also provides an overview of qualitative methods commonly used in the humanities and social sciences. \nThis workshop is presented by Xu Guo\, Qualitative methods graduate specialist at the New Brunswick Libraries. \n\nThis is an online event. Event URL will be sent via registration email. \nRegister here: https://libcal.rutgers.edu/event/16253404
URL:https://radcollaboratory.rutgers.edu/event/nvivo2/
CATEGORIES:Rutgers Events
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20260220T130000
DTEND;TZID=UTC:20260220T143000
DTSTAMP:20260416T074004
CREATED:20260129T164901Z
LAST-MODIFIED:20260129T164901Z
UID:2767-1771592400-1771597800@radcollaboratory.rutgers.edu
SUMMARY:Introduction to NVivo
DESCRIPTION:NVivo is a qualitative data analysis software that helps researchers manage\, code\, and markup data for both mixed methods and qualitative studies. This workshop introduces the NVivo workspace and basic features\, including organizing data\, making mind maps\, and getting acquainted with data coding. It also provides an overview of qualitative methods commonly used in the humanities and social sciences. \nThis workshop is presented by Xu Guo\, Qualitative methods 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/16253403
URL:https://radcollaboratory.rutgers.edu/event/nvivo1/
CATEGORIES:Rutgers Events
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20260218T153000
DTEND;TZID=UTC:20260218T170000
DTSTAMP:20260416T074004
CREATED:20260121T181503Z
LAST-MODIFIED:20260121T181503Z
UID:2758-1771428600-1771434000@radcollaboratory.rutgers.edu
SUMMARY:Data Visualization 2 (interactive visualizations with Shiny\, including hosting a Shiny server)
DESCRIPTION:Creating interactive visualizations with Shiny in RStudio\, and delivering Shiny visualizations on the web and hosting a Shiny server. \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 \nThis is an online event. Event URL will be sent via registration email. \nClick here to register: https://libcal.rutgers.edu/event/15505670 \n  \n 
URL:https://radcollaboratory.rutgers.edu/event/data-visualization-2/
CATEGORIES:Rutgers Events
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20260216T120000
DTEND;TZID=UTC:20260216T130000
DTSTAMP:20260416T074004
CREATED:20260121T181101Z
LAST-MODIFIED:20260121T181256Z
UID:2756-1771243200-1771246800@radcollaboratory.rutgers.edu
SUMMARY:Data Science Basics: Introduction to Data Science
DESCRIPTION:Data science is at the heart of modern decision-making\, powering everything from business insights to everyday recommendations online. This workshop offers a beginner-friendly introduction to the core concepts\, tools\, and workflows that define the field. No prior experience is required. The session focuses on building intuition and understanding rather than coding. By the end of the workshop\, attendees will have a solid foundation in how data science works and how it can be applied to real-world problems. Join us to explore the world of data and discover how it shapes the technologies and decisions around us. \n\nRelated LibGuide:  Data Science – Graduate Specialists by Ryan Womack \nThis is an online event. Event URL will be sent via registration email. \nRegister here: https://libcal.rutgers.edu/event/16143993
URL:https://radcollaboratory.rutgers.edu/event/2756/
CATEGORIES:Rutgers Events
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20260213T120000
DTEND;TZID=UTC:20260213T150000
DTSTAMP:20260416T074004
CREATED:20260121T165903Z
LAST-MODIFIED:20260121T165912Z
UID:2754-1770984000-1770994800@radcollaboratory.rutgers.edu
SUMMARY:Love Data Week! Frederick Douglass Day Transcribe-a-Thon
DESCRIPTION:We will gather during this hybrid event to transcribe primary source materials related to Black history. Previous events have focused on the papers of significant figures like Anna Julia Cooper\, Mary Church Terrell\, and Mary Ann Shadd Cary. Training on the transcription of primary source materials will be provided. Bring a laptop! Participants may come or leave at any time during the event. Learn more about Douglass Day at douglassday.org. \nRefreshments will be available to in-person participants. \nFacilitators: Francesca Giannetti\, Digital Humanities Librarian\, and Tajah Ebram\, Black Studies Librarian \nThis is an online event. Event URL will be sent via registration email. \n\nRegister here: https://libcal.rutgers.edu/event/16187674
URL:https://radcollaboratory.rutgers.edu/event/2754/
CATEGORIES:Rutgers Events
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20260212T130000
DTEND;TZID=UTC:20260212T140000
DTSTAMP:20260416T074004
CREATED:20260121T154139Z
LAST-MODIFIED:20260121T154430Z
UID:2752-1770901200-1770904800@radcollaboratory.rutgers.edu
SUMMARY:Love Data Week! Finding and Creating Textual Data for Analysis
DESCRIPTION:This introductory workshop provides a brief tour through the rights and technical issues associated with the creation of textual data for computational text analysis in the humanities and interpretive social sciences. We will examine some commonly used sources of historic and contemporary textual data\, including primary source collections\, web APIs\, open data collections\, and library resources like ProQuest’s TDM Studio and the Gale Digital Scholar Lab. \nInstructor: Francesca Giannetti\, Digital Humanities Librarian \nThis is an online event. Event URL will be sent via registration email. \n\nRegister here: https://libcal.rutgers.edu/event/16187350
URL:https://radcollaboratory.rutgers.edu/event/love-data-week-feb12/
CATEGORIES:Rutgers Events
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20260211T153000
DTEND;TZID=UTC:20260211T170000
DTSTAMP:20260416T074004
CREATED:20260121T153906Z
LAST-MODIFIED:20260121T153934Z
UID:2750-1770823800-1770829200@radcollaboratory.rutgers.edu
SUMMARY:Love Data Week! R Graphics with ggplot2
DESCRIPTION:The ggplot2 package from the tidyverse provides extensive and flexible graphical capabilities within a consistent framework.  This session introduces the main features of ggplot2. Some prior familiarity with R is assumed (packages\, structure\, syntax)\, but the presentation can be followed without this background. \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_R \nInstructor: Ryan Womack \n\n\nRelated LibGuide:  Data Science – Graduate Specialists by Ryan Womack \nThis is an online event. Event URL will be sent via registration email. \nRegister here: https://libcal.rutgers.edu/event/15446782
URL:https://radcollaboratory.rutgers.edu/event/ggplot2/
CATEGORIES:Rutgers Events
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20260210T120000
DTEND;TZID=UTC:20260210T130000
DTSTAMP:20260416T074004
CREATED:20260121T153214Z
LAST-MODIFIED:20260121T153522Z
UID:2748-1770724800-1770728400@radcollaboratory.rutgers.edu
SUMMARY:Love Data Week! DMPTool for NIH and NSF Data Management Plans
DESCRIPTION:Create data management and sharing plans that meet funder requirements using DMPTool. Features of this plan writing tool will be demonstrated\, with tips for writing plans for NIH and NSF. Information about selecting data repositories will also be presented. There will be time at the end for Q&A – please bring your data management questions! \n\nRelated LibGuide:  Research Data Management by Laura Palumbo \nThis is an online event. Event URL will be sent via registration email. \nRegister here: https://libcal.rutgers.edu/event/16169553
URL:https://radcollaboratory.rutgers.edu/event/dmptool/
CATEGORIES:Rutgers Events
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20260209T120000
DTEND;TZID=UTC:20260209T130000
DTSTAMP:20260416T074004
CREATED:20260121T150130Z
LAST-MODIFIED:20260121T150230Z
UID:2746-1770638400-1770642000@radcollaboratory.rutgers.edu
SUMMARY:Love Data Week! Data Science Basics: Keeping Your Data Safe
DESCRIPTION:In an increasingly digital world\, protecting your personal information is more important than ever. This workshop provides a clear\, practical introduction to data privacy and security\, helping you understand the risks you face online and the steps you can take to safeguard your data. This session focuses on simple\, actionable tips you can start using immediately. By the end of the workshop\, you’ll be better equipped to recognize security risks and make informed decisions to keep your data safe. Join us to build essential digital safety skills and take control of your online privacy. \n\nRelated LibGuide:  Data Science – Graduate Specialists by Ryan Womack \nThis is an online event. Event URL will be sent via registration email. \nRegister here: https://libcal.rutgers.edu/event/16143365
URL:https://radcollaboratory.rutgers.edu/event/love-data-week/
CATEGORIES:Rutgers Events
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20260206T130000
DTEND;TZID=UTC:20260206T143000
DTSTAMP:20260416T074004
CREATED:20260129T164223Z
LAST-MODIFIED:20260129T164735Z
UID:2765-1770382800-1770388200@radcollaboratory.rutgers.edu
SUMMARY:Introduction to NVivo
DESCRIPTION:NVivo is a qualitative data analysis software that helps researchers manage\, code\, and markup data for both mixed methods and qualitative studies. This workshop introduces the NVivo workspace and basic features\, including organizing data\, making mind maps\, and getting acquainted with data coding. It also provides an overview of qualitative methods commonly used in the humanities and social sciences. \nThis workshop is presented by Xu Guo\, Qualitative methods graduate specialist at the New Brunswick Libraries. \n\nThis is an online event. Event URL will be sent via registration email. \nRegister here: https://libcal.rutgers.edu/event/16253402
URL:https://radcollaboratory.rutgers.edu/event/nvivo/
CATEGORIES:Rutgers Events
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20260204T153000
DTEND;TZID=UTC:20260204T170000
DTSTAMP:20260416T074004
CREATED:20260121T145655Z
LAST-MODIFIED:20260121T145718Z
UID:2744-1770219000-1770224400@radcollaboratory.rutgers.edu
SUMMARY:Data Analysis 2 (statistical tests\, regression\, sampling\, bootstrap\, and more + comparison with Python)
DESCRIPTION:This workshop reviews statistical tests\, regression\, sampling and bootstrap methods\, and more. The focus here is on implementing statistics using R\, with a comparison to Python techniques for accomplishing similar tasks. \nPart of the Data Topics series of workshops. \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 \nThis is an online event. Event URL will be sent via registration email. \nRegister here: https://libcal.rutgers.edu/event/15446799
URL:https://radcollaboratory.rutgers.edu/event/data-analysis-2/
CATEGORIES:Rutgers Events
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20260202T160000
DTEND;TZID=UTC:20260202T170000
DTSTAMP:20260416T074004
CREATED:20260121T145500Z
LAST-MODIFIED:20260123T172439Z
UID:2742-1770048000-1770051600@radcollaboratory.rutgers.edu
SUMMARY:Advanced Zotero
DESCRIPTION:Attention\, graduate students! If you are already a Zotero user and are looking to take your citation and literature review game to the next level\, this workshop is for you. We will learn how to route PDF attachments to a cloud storage folder and retrieve and organize our PDF annotations using the third-party plugin ZotMoov. ZotMoov allows users to continue using Zotero without paying for storage for PDF attachments (assuming Rutgers-provided cloud storage like Box or ScarletApps). In case a refresher is needed\, our “Introduction to Zotero” materials are available at https://libguides.rutgers.edu/zotero/tutorials. \nInstructor: Francesca Giannetti\, Digital Humanities Librarian \n\nRelated LibGuide:  Zotero by Mei Ling Lo \nThis is an online event. Event URL will be sent via registration email. \nRegister here: https://libcal.rutgers.edu/event/16247204
URL:https://radcollaboratory.rutgers.edu/event/advanced-zotero/
CATEGORIES:Rutgers Events
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20260128T153000
DTEND;TZID=UTC:20260128T170000
DTSTAMP:20260416T074004
CREATED:20260121T141815Z
LAST-MODIFIED:20260121T141815Z
UID:2740-1769614200-1769619600@radcollaboratory.rutgers.edu
SUMMARY:Data Analysis 1 (overview\, data methods\, and data wrangling with R + comparison with Python)
DESCRIPTION:This session introduces basic descriptive data analysis and data wrangling in the context of the R statistical software environment\, along with some comparisons to Python methods. \nWorkshop conducted via Zoom.  Register to receive the Zoom link with instructions on how to connect. \nSupplemental materials are available at libguides.rutgers.edu/data_topics \nInstructor: Ryan Womack \n\n\nRelated LibGuide:  Data Topics by Ryan Womack \nThis is an online event. Event URL will be sent via registration email. \nRegister here: https://libcal.rutgers.edu/event/15365712
URL:https://radcollaboratory.rutgers.edu/event/data-analysis-1/
CATEGORIES:Rutgers Events
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20260128T123000
DTEND;TZID=UTC:20260128T133000
DTSTAMP:20260416T074004
CREATED:20260121T141325Z
LAST-MODIFIED:20260121T141325Z
UID:2738-1769603400-1769607000@radcollaboratory.rutgers.edu
SUMMARY:Introduction to EndNote
DESCRIPTION:Learn how to use EndNote 2025\, a citation management software to help you organize your citations and generate a bibliography in a snap. In this workshop\, you will learn how to download EndNote 2025\, capture references from databases such as PubMed and Google Scholar\, create a library\, and more importantly\, use EndNote 2025 to help you cite references while you are writing a paper in Microsoft Word. \nPresenter: Mei Ling Lo (Science Research Librarian) \n\nRelated LibGuide:  EndNote Tutorials by Yingting Zhang \nThis is an online event. Event URL will be sent via registration email.
URL:https://radcollaboratory.rutgers.edu/event/endnote-2/
CATEGORIES:Rutgers Events
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20260126T160000
DTEND;TZID=UTC:20260126T170000
DTSTAMP:20260416T074004
CREATED:20260121T134549Z
LAST-MODIFIED:20260121T134549Z
UID:2736-1769443200-1769446800@radcollaboratory.rutgers.edu
SUMMARY:Introduction to Zotero
DESCRIPTION:Zotero is a free application that collects\, manages\, and formats citations and bibliographies. In this introductory\, hands-on workshop\, we’ll learn how to create collections for different projects\, attach PDFs and notes to references\, tag references for easy searching\, and generate citations and bibliographies. Please download Zotero 7.0 for your OS and the connector for your favorite browser. \nInstructor: Francesca Giannetti\, Digital Humanities Librarian \n\nRelated LibGuide:  Zotero by Mei Ling Lo \nThis is an online event. Event URL will be sent via registration email.
URL:https://radcollaboratory.rutgers.edu/event/introduction-to-zotero/
CATEGORIES:Rutgers Events
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20260121T123000
DTEND;TZID=UTC:20260121T133000
DTSTAMP:20260416T074004
CREATED:20260121T133808Z
LAST-MODIFIED:20260121T133808Z
UID:2734-1768998600-1769002200@radcollaboratory.rutgers.edu
SUMMARY:Introduction to EndNote
DESCRIPTION:Learn how to use EndNote 2025\, a citation management software to help you organize your citations and generate a bibliography in a snap. In this workshop\, you will learn how to download EndNote 2025\, capture references from databases such as PubMed and Google Scholar\, create a library\, and more importantly\, use EndNote 2025 to help you cite references while you are writing a paper in Microsoft Word. \nPresenter: Mei Ling Lo (Science Research Librarian) \nRelated LibGuide:  EndNote Tutorials by Yingting Zhang \nThis is an online event. Event URL will be sent via registration email.
URL:https://radcollaboratory.rutgers.edu/event/introduction-to-endnote/
CATEGORIES:Rutgers Events
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20260114T100000
DTEND;TZID=UTC:20260114T163000
DTSTAMP:20260416T074004
CREATED:20251208T161207Z
LAST-MODIFIED:20251208T161207Z
UID:2698-1768384800-1768408200@radcollaboratory.rutgers.edu
SUMMARY:Empowering Secure Data-Driven Research: Leveraging Science DMZ\, Globus\, and National Cyber Infrastructure Resources
DESCRIPTION:This informative workshop provides a comprehensive\noverview of Science DMZ and Globus\, illustrating how\nthese technologies enable secure\, high-performance data\ntransfer and management to support modern\, datadriven\nresearch collaborations. \nParticipants will gain practical insights into:\n• Designing and operating Science DMZ environments\noptimized for data-intensive research.\n• Using Globus for seamless\, automated\, and secure\ndata sharing across institutions.\n• Leveraging national CI resources to enhance\nscalability\, collaboration\, and research impact.\n• Available resources and funding for researchers and\neducators \nAttendees will also engage with national leaders in\nSecuring Cyber infrastructure\, exploring real-world use\ncases and lessons learned.\nJoin us for this session designed to empower researchers\,\nfaculty\, research computing professionals\, and IT\nleaders with actionable knowledge to build secure\, high performance\ndata ecosystems that advance collaborative\nscience and education. \nLocation: Julius Romo Rubiniwitz building\, A17 lecture hall\, Princeton University Campus\, Princeton\, NJ\nRegister at bit.ly/49Y53M2 \nThis is an in-person event with no virtual option. \nEvent flyer available here!
URL:https://radcollaboratory.rutgers.edu/event/empowering-secure-data-driven-research-leveraging-science-dmz-globus-and-national-cyber-infrastructure-resources/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20251208T083000
DTEND;TZID=UTC:20251208T153000
DTSTAMP:20260416T074004
CREATED:20250822T080016Z
LAST-MODIFIED:20251125T215405Z
UID:2502-1765182600-1765207800@radcollaboratory.rutgers.edu
SUMMARY:Roadmaps AI Symposium
DESCRIPTION:To be held at Rutgers-Newark – Express Newark \nRegistration Open Until Monday December 1st! \nAgenda -New Horizons for AI and Data Science Symposium \n 
URL:https://radcollaboratory.rutgers.edu/event/roadmaps-ai-symposium/
CATEGORIES:RAD Collaboratory Events,Rutgers Events
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20251107T143000
DTEND;TZID=UTC:20251107T160000
DTSTAMP:20260416T074004
CREATED:20251013T152424Z
LAST-MODIFIED:20251013T155611Z
UID:2635-1762525800-1762531200@radcollaboratory.rutgers.edu
SUMMARY:Python for Visualization: matplotlib & seaborn
DESCRIPTION:Registration is required. There are 25 seats available. This is an online event. Event URL will be sent via registration email. \nRegister here: https://libcal.rutgers.edu/event/15505779 \nPython for Visualization: matplotlib & seaborn\n\nThis workshop introduces visualization techniques using matplotlib and seaborn. Participants will practice creating clear and informative plots to explore patterns and relationships in data. \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/datascience/python \nInstructor: Parsa Keihan \n  \n\nRelated LibGuide:  Data Science – Graduate Specialists by Ryan Womack
URL:https://radcollaboratory.rutgers.edu/event/python-for-visualization-matplotlib-seaborn/
CATEGORIES:Rutgers Events
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20251107T083000
DTEND;TZID=UTC:20251107T143000
DTSTAMP:20260416T074004
CREATED:20250919T170852Z
LAST-MODIFIED:20250929T172059Z
UID:2553-1762504200-1762525800@radcollaboratory.rutgers.edu
SUMMARY:New Jersey Big Data Alliance Research Collaboration Forum
DESCRIPTION:8:30 AM – 2:00 PM\, November 7\, 2025 \nVENUE: Room 120\, Institute for Quantitative. Biomedicine; Proteomics Building \nRutgers University\, Busch Campus\, 174 Frelinghuysen Road\, Piscataway\, NJ 08854 \nAdvancing ML and AI Research  \nSpotlight: Life Sciences\, Healthcare and Biotechnology \nClick here to register \nFlyer coming soon! \nQuestions?: Please contact selenny.m.fabre@njit.edu
URL:https://radcollaboratory.rutgers.edu/event/new-jersey-big-data-alliance-research-collaboration-forum/
LOCATION:Center for Integrative Proteomics Research\, 174 Frelinghuysen Road\, Piscataway\, NJ\, 08854\, United States
CATEGORIES:RAD Collaboratory Events,Regional/National Events,Rutgers Events
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20251104T140000
DTEND;TZID=UTC:20251104T153000
DTSTAMP:20260416T074004
CREATED:20251013T152107Z
LAST-MODIFIED:20251013T160011Z
UID:2610-1762264800-1762270200@radcollaboratory.rutgers.edu
SUMMARY:Data Sources 1 (major data resources\, locating data\, with focus on diversity and data for minoritized and underrepresented groups)
DESCRIPTION:Registration is required. There are 27 seats available. This is an online event. Event URL will be sent via registration email. \nRegister here: https://libcal.rutgers.edu/event/14867329 \n\n\nOverview of major data resources\, methods of locating data\, with focus on diversity and data for minoritized 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  \n\nRelated LibGuide:  Data Topics by Ryan Womack
URL:https://radcollaboratory.rutgers.edu/event/2610/
CATEGORIES:Rutgers Events
END:VEVENT
END:VCALENDAR