BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//The Rutgers Artificial Intelligence and Data Science (RAD) Collaboratory - ECPv6.11.2//NONSGML v1.0//EN
CALSCALE:GREGORIAN
METHOD:PUBLISH
X-ORIGINAL-URL:https://radcollaboratory.rutgers.edu
X-WR-CALDESC:Events for The Rutgers Artificial Intelligence and Data Science (RAD) Collaboratory
REFRESH-INTERVAL;VALUE=DURATION:PT1H
X-Robots-Tag:noindex
X-PUBLISHED-TTL:PT1H
BEGIN:VTIMEZONE
TZID:UTC
BEGIN:STANDARD
TZOFFSETFROM:+0000
TZOFFSETTO:+0000
TZNAME:UTC
DTSTART:20260101T000000
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTART;TZID=UTC:20260202T160000
DTEND;TZID=UTC:20260202T170000
DTSTAMP:20260421T135810
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:20260204T153000
DTEND;TZID=UTC:20260204T170000
DTSTAMP:20260421T135810
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:20260206T130000
DTEND;TZID=UTC:20260206T143000
DTSTAMP:20260421T135810
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:20260209T120000
DTEND;TZID=UTC:20260209T130000
DTSTAMP:20260421T135810
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:20260210T120000
DTEND;TZID=UTC:20260210T130000
DTSTAMP:20260421T135810
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:20260211T153000
DTEND;TZID=UTC:20260211T170000
DTSTAMP:20260421T135810
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:20260212T130000
DTEND;TZID=UTC:20260212T140000
DTSTAMP:20260421T135810
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:20260213T120000
DTEND;TZID=UTC:20260213T150000
DTSTAMP:20260421T135810
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:20260216T120000
DTEND;TZID=UTC:20260216T130000
DTSTAMP:20260421T135810
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:20260218T153000
DTEND;TZID=UTC:20260218T170000
DTSTAMP:20260421T135810
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:20260220T130000
DTEND;TZID=UTC:20260220T143000
DTSTAMP:20260421T135811
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
END:VCALENDAR