BEGIN:VCALENDAR
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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://live-rutgers-data-science-and-ai-collaboratory.pantheonsite.io
X-WR-CALDESC:Events for The Rutgers Artificial Intelligence and Data Science (RAD) Collaboratory
REFRESH-INTERVAL;VALUE=DURATION:PT1H
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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:20261103T140000
DTEND;TZID=UTC:20261103T153000
DTSTAMP:20260917T235728
CREATED:20260915T161519Z
LAST-MODIFIED:20260915T161519Z
UID:3308-1793714400-1793719800@live-rutgers-data-science-and-ai-collaboratory.pantheonsite.io
SUMMARY:Data Sources 1
DESCRIPTION:This session presents an overview of major data resources and methods of locating data with a focus on diversity and data for minorities 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\nRelated LibGuide:  Data Topics by Ryan Womack \nDate:Tuesday\, November 3\, 2026 \nTime:2:00pm – 3:30pm \nTime Zone:Eastern Time – US & Canada (change) \nDivision:New Brunswick \nEvent Type:   Workshop   Topics:   Data  \nOnline:This is an online event. Event URL will be sent via registration email.  Register here: https://libcal.rutgers.edu/event/17302100
URL:https://live-rutgers-data-science-and-ai-collaboratory.pantheonsite.io/event/data-sources-1-2/
CATEGORIES:Rutgers Events
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20261103T160000
DTEND;TZID=UTC:20261103T180000
DTSTAMP:20260917T235728
CREATED:20260915T161818Z
LAST-MODIFIED:20260915T161818Z
UID:3310-1793721600-1793728800@live-rutgers-data-science-and-ai-collaboratory.pantheonsite.io
SUMMARY:Spatial Analysis and Spatial Joins
DESCRIPTION:Learn how to integrate spatial data with ML through these key topics: \n\nSpatial feature engineering\nBasic clustering or classification\nInterpreting spatial ML outputs\n\nAttendees will develop a simple spatial model and map-based prediction. \n(GIS & Spatial Analytics\, Workshop 4) \nInstructor: Terri-Ann Grant \n\nRelated LibGuide:  Data Science – Graduate Specialists by Ryan Womack \nDate:Tuesday\, November 3\, 2026 \nTime:4:00pm – 6:00pm \nTime Zone:Eastern Time – US & Canada (change) \nEvent Type:   Workshop   Topics:   Data  \nOnline:This is an online event. Event URL will be sent via registration email.  Register here: https://libcal.rutgers.edu/event/17543059
URL:https://live-rutgers-data-science-and-ai-collaboratory.pantheonsite.io/event/spatial-analysis-and-spatial-joins/
CATEGORIES:Rutgers Events
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20261105T110000
DTEND;TZID=UTC:20261105T120000
DTSTAMP:20260917T235728
CREATED:20260915T162013Z
LAST-MODIFIED:20260915T162013Z
UID:3312-1793876400-1793880000@live-rutgers-data-science-and-ai-collaboratory.pantheonsite.io
SUMMARY:Fundamentals of SAS: Statistical Analysis Software
DESCRIPTION:This 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 welcome! \nInstructor: Jonathan Torres (Business Librarian) \nDate:Thursday\, November 5\, 2026 \nTime:11:00am – 12:00pm \nTime Zone:Eastern Time – US & Canada (change) \nDivision:Newark \nEvent Type:   Workshop   Topics:   Data  \nOnline:This is an online event. Event URL will be sent via registration email.  Register here: https://libcal.rutgers.edu/event/17379713
URL:https://live-rutgers-data-science-and-ai-collaboratory.pantheonsite.io/event/fundamentals-of-sas-statistical-analysis-software/
CATEGORIES:Rutgers Events
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20261106T130000
DTEND;TZID=UTC:20261106T134000
DTSTAMP:20260917T235728
CREATED:20260915T162336Z
LAST-MODIFIED:20260915T162336Z
UID:3314-1793970000-1793972400@live-rutgers-data-science-and-ai-collaboratory.pantheonsite.io
SUMMARY:Queries in NVivo
DESCRIPTION:NVivo queries let participants search\, analyze\, and visualize coded data to find patterns across files. This session covers the three main query types and their visualization NVivo offers\, moving from simplest to more complex. This session assumes participants already know how to code files in NVivo. \n\nWord frequency query (word cloud)\nText search query (word tree)\nCross-tabulation query\n\nThis workshop is presented by Xu Guo\, Qualitative Research Graduate Specialist\, New Brunswick Libraries. \n\nRelated LibGuide:  Qualitative Methods – Graduate Specialists by Francesca Giannetti \nDate:Friday\, November 6\, 2026 \nTime:1:00pm – 1:40pm \nTime Zone:Eastern Time – US & Canada (change) \nDivision:New Brunswick \nEvent Type:   Workshop   Topics:   Data  \nOnline:This is an online event. Event URL will be sent via registration email.  Register here: https://libcal.rutgers.edu/event/17526927
URL:https://live-rutgers-data-science-and-ai-collaboratory.pantheonsite.io/event/queries-in-nvivo-2/
CATEGORIES:Rutgers Events
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20261106T150000
DTEND;TZID=UTC:20261106T160000
DTSTAMP:20260917T235728
CREATED:20260915T162504Z
LAST-MODIFIED:20260915T162504Z
UID:3316-1793977200-1793980800@live-rutgers-data-science-and-ai-collaboratory.pantheonsite.io
SUMMARY:Using SAS and WRDS
DESCRIPTION:Students will learn how to use\, retrieve\, export\, and parse datasets with Wharton Research Data Services (WRDS). WRDS is a web-based business data management system that allows researchers to retrieve information from financial\, economic\, and marketing data sources. This workshop is limited to RBS Ph.D. students only. \nInstructor: Jonathan Torres (Business Librarian) \nDate:Friday\, November 6\, 2026 \nTime:3:00pm – 4:00pm \nTime Zone:Eastern Time – US & Canada (change) \nEvent Type:   Workshop   Topics:   Data  \nOnline:This is an online event. Event URL will be sent via registration email.  Register here: https://libcal.rutgers.edu/event/17379921
URL:https://live-rutgers-data-science-and-ai-collaboratory.pantheonsite.io/event/using-sas-and-wrds/
CATEGORIES:Rutgers Events
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20261110T160000
DTEND;TZID=UTC:20261110T180000
DTSTAMP:20260917T235728
CREATED:20260915T162803Z
LAST-MODIFIED:20260915T162803Z
UID:3318-1794326400-1794333600@live-rutgers-data-science-and-ai-collaboratory.pantheonsite.io
SUMMARY:APIs\, Data Quality and Public Data
DESCRIPTION:Learn how to address real-world data challenges with the goals of dataset retrieval via API and a cleaned dataset ready for analysis through these key topics: \n\nAccessing APIs (e.g.\, World Bank\, WHO)\nData cleaning and transformation\nHandling missing/inconsistent data\n\nAttendees will develop a cleaned dataset ready for analysis from a dataset retrieved by API. \n(Applied Data Science\, Workshop 5) \nInstructor: Terri-Ann Grant \n\nRelated LibGuide:  Data Science – Graduate Specialists by Ryan Womack \nDate:Tuesday\, November 10\, 2026 \nTime:4:00pm – 6:00pm \nTime Zone:Eastern Time – US & Canada (change) \nEvent Type:   Workshop   Topics:   Data  \nOnline:This is an online event. Event URL will be sent via registration email. Register here: https://libcal.rutgers.edu/event/17541074
URL:https://live-rutgers-data-science-and-ai-collaboratory.pantheonsite.io/event/apis-data-quality-and-public-data/
CATEGORIES:Rutgers Events
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20261113T150000
DTEND;TZID=UTC:20261113T160000
DTSTAMP:20260917T235728
CREATED:20260915T162934Z
LAST-MODIFIED:20260915T162934Z
UID:3320-1794582000-1794585600@live-rutgers-data-science-and-ai-collaboratory.pantheonsite.io
SUMMARY:Fundamentals of Tableau
DESCRIPTION:Students will learn how to use Tableau for creating data visualization formats and real-time data analytics features using business datasets. Learn how to prepare\, analyze\, and share your data. \nInstructor: Jonathan Torres (Business Librarian) \nDate:Friday\, November 13\, 2026 \nTime:3:00pm – 4:00pm \nTime Zone:Eastern Time – US & Canada (change) \nDivision:Newark \nEvent Type:   Workshop   Topics:   Data  \nOnline:This is an online event. Event URL will be sent via registration email.  Register here: https://libcal.rutgers.edu/event/17378927
URL:https://live-rutgers-data-science-and-ai-collaboratory.pantheonsite.io/event/fundamentals-of-tableau/
CATEGORIES:Rutgers Events
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20261117T140000
DTEND;TZID=UTC:20261117T153000
DTSTAMP:20260917T235728
CREATED:20260915T163124Z
LAST-MODIFIED:20260915T163124Z
UID:3322-1794924000-1794929400@live-rutgers-data-science-and-ai-collaboratory.pantheonsite.io
SUMMARY:Data Publication 1
DESCRIPTION:This session covers how to create reproducible research and literate programming documents using knitr\, Sweave\, Quarto\, blogdown\, and bookdown. \nThe RStudio environment enables the easy creation of documents in various formats (HTML\, DOC\, PDF) using Rmarkdown\, while knitr allows the incorporation of executable R code to produce the tables and figures in those documents. Sweave provides more advanced LaTeX typesetting\, and Quarto provides even more flexibility and functionality. The blogdown and bookdown packages allow the easy creation of formatted documents in both web-compatible and print formats. This session introduces these concepts and other packages and practices supporting reproducibility with the R environment. \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 \nDate:Tuesday\, November 17\, 2026 \nTime:2:00pm – 3:30pm \nTime Zone:Eastern Time – US & Canada (change) \nDivision:New Brunswick \nEvent Type:   Workshop   Topics:   Data  \nOnline:This is an online event. Event URL will be sent via registration email.  Register here: https://libcal.rutgers.edu/event/17302106
URL:https://live-rutgers-data-science-and-ai-collaboratory.pantheonsite.io/event/data-publication-1-3/
CATEGORIES:Rutgers Events
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20261117T160000
DTEND;TZID=UTC:20261117T180000
DTSTAMP:20260917T235728
CREATED:20260915T163301Z
LAST-MODIFIED:20260915T163339Z
UID:3324-1794931200-1794938400@live-rutgers-data-science-and-ai-collaboratory.pantheonsite.io
SUMMARY:Accessibility and Network Analysis
DESCRIPTION:Learn analytical GIS techniques through these key topics: \n\nBuffer analysis\nProximity and accessibility\nService coverage analysis\n\nAttendees will develop a spatial analysis result with decision-based insight. \n(GIS & Spatial Analytics\, Workshop 5) \nInstructor: Terri-Ann Grant \n\nRelated LibGuide:  Data Science – Graduate Specialists by Ryan Womack \nDate:Tuesday\, November 17\, 2026 \nTime:4:00pm – 6:00pm \nTime Zone:Eastern Time – US & Canada (change) \nEvent Type:   Workshop  \nTopics:   Data   Online:This is an online event. \nEvent URL will be sent via registration email.  Register here: https://libcal.rutgers.edu/event/17543023
URL:https://live-rutgers-data-science-and-ai-collaboratory.pantheonsite.io/event/accessibility-and-network-analysis/
CATEGORIES:Rutgers Events
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20261118T130000
DTEND;TZID=UTC:20261118T150000
DTSTAMP:20260917T235728
CREATED:20260915T163733Z
LAST-MODIFIED:20260915T163733Z
UID:3327-1795006800-1795014000@live-rutgers-data-science-and-ai-collaboratory.pantheonsite.io
SUMMARY:Capstone Lab and Portfolio Project (Applied Data Science)
DESCRIPTION:The capstone session will be structured as a guided lab where participants transform workshop outputs into a cohesive\, portfolio-ready project using pre-configured datasets and notebooks to ensure completion within a two-hour session. Key topics during the workshop include: \n\nStructuring a data project\nPresenting results clearly\nPreparing work for GitHub or academic submission\n\nAttendees who complete this concluding session with be able to walk away with a structured project and portfolio-ready outline. \n(Applied Data Science\, Workshop 6) \nInstructor: Terri-Ann Grant \n\nRelated LibGuide:  Data Science – Graduate Specialists by Ryan Womack \nDate:Wednesday\, November 18\, 2026 \nTime:1:00pm – 3:00pm \nTime Zone:Eastern Time – US & Canada (change) \nEvent Type:   Workshop   Topics:   Data  \nOnline:This is an online event. Event URL will be sent via registration email.  Register here: https://libcal.rutgers.edu/event/17541096
URL:https://live-rutgers-data-science-and-ai-collaboratory.pantheonsite.io/event/capstone-lab-and-portfolio-project-applied-data-science/
CATEGORIES:Rutgers Events
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20261119T130000
DTEND;TZID=UTC:20261119T143000
DTSTAMP:20260917T235728
CREATED:20260915T175741Z
LAST-MODIFIED:20260915T175901Z
UID:3355-1795093200-1795098600@live-rutgers-data-science-and-ai-collaboratory.pantheonsite.io
SUMMARY:Intro to Amarel HPC Cluster
DESCRIPTION:This short course helps everyone make those first few steps toward productively using a Linux cluster for research — all members of the Rutgers community have free access to the Amarel Cluster. The workshop covers the basics of HPC Cluster\, Web access to the cluster\, SLURM\, File System and Storage\, and Setting up environment for the Software Stacks. \nLimited to 20 participants. \nMore information and registration details can be found here: https://it.rutgers.edu/research-computing/event/intro-to-amarel-hpc-cluster-2/  \nDate:Thursday\, November 19\, 2026 \nTime:1:00pm – 2:30pm \nTime Zone:Eastern Time – US & Canada (change) \nDivision:New Brunswick \nEvent Type:   Workshop   Topics:   Data       Research Methods  \nThis is an online event. Register here: https://it.rutgers.edu/research-computing/event/intro-to-amarel-hpc-cluster-2/
URL:https://live-rutgers-data-science-and-ai-collaboratory.pantheonsite.io/event/intro-to-amarel-hpc-cluster-2/
CATEGORIES:Rutgers Events
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20261120T080000
DTEND;TZID=UTC:20261120T170000
DTSTAMP:20260917T235728
CREATED:20260817T192936Z
LAST-MODIFIED:20260818T204747Z
UID:3239-1795161600-1795194000@live-rutgers-data-science-and-ai-collaboratory.pantheonsite.io
SUMMARY:2026 NJBDA Research Collaboration Forum
DESCRIPTION:Save the date!  Additional details to follow. \nThe forum is co-sponsored by the RAD Collaboratory
URL:https://live-rutgers-data-science-and-ai-collaboratory.pantheonsite.io/event/2026-njbda-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:20261124T140000
DTEND;TZID=UTC:20261124T153000
DTSTAMP:20260917T235728
CREATED:20260915T163935Z
LAST-MODIFIED:20260915T163935Z
UID:3329-1795528800-1795534200@live-rutgers-data-science-and-ai-collaboratory.pantheonsite.io
SUMMARY:Data Publication 2
DESCRIPTION:Sharing 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 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 \nDate:Tuesday\, November 24\, 2026 \nTime:2:00pm – 3:30pm \nTime Zone:Eastern Time – US & Canada (change) \nDivision:New Brunswick \nEvent Type:   Workshop   Topics:   Data  \nOnline:This is an online event. Event URL will be sent via registration email.  Register here: https://libcal.rutgers.edu/event/17302103
URL:https://live-rutgers-data-science-and-ai-collaboratory.pantheonsite.io/event/data-publication-2-2/
CATEGORIES:Rutgers Events
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20261124T160000
DTEND;TZID=UTC:20261124T180000
DTSTAMP:20260917T235728
CREATED:20260915T164917Z
LAST-MODIFIED:20260915T164917Z
UID:3331-1795536000-1795543200@live-rutgers-data-science-and-ai-collaboratory.pantheonsite.io
SUMMARY:Digital Equity Mapping Capstone
DESCRIPTION:This capstone workshop focuses on developing a complete GIS portfolio project with key topics including: \n\nStructuring GIS projects\nCombining maps with analysis\nPresenting results\n\nAttendees who complete the series with this session will have a GIS project that is portfolio-ready. \n(GIS & Spatial Analytics\, Workshop 6) \nInstructor: Terri-Ann Grant \n\nRelated LibGuide:  Data Science – Graduate Specialists by Ryan Womack \nDate:Tuesday\, November 24\, 2026 \nTime:4:00pm – 6:00pm \nTime Zone:Eastern Time – US & Canada (change) \nEvent Type:   Workshop   Topics:   Data  \nOnline:This is an online event. Event URL will be sent via registration email.  Register here: https://libcal.rutgers.edu/event/17542997
URL:https://live-rutgers-data-science-and-ai-collaboratory.pantheonsite.io/event/digital-equity-mapping-capstone/
CATEGORIES:Rutgers Events
END:VEVENT
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