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METHOD:PUBLISH
X-WR-CALNAME:The Rutgers Artificial Intelligence and Data Science (RAD) Collaboratory
X-ORIGINAL-URL:https://live-rutgers-data-science-and-ai-collaboratory.pantheonsite.io
X-WR-CALDESC:Events for The Rutgers Artificial Intelligence and Data Science (RAD) Collaboratory
REFRESH-INTERVAL;VALUE=DURATION:PT1H
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BEGIN:VTIMEZONE
TZID:UTC
BEGIN:STANDARD
TZOFFSETFROM:+0000
TZOFFSETTO:+0000
TZNAME:UTC
DTSTART:20260101T000000
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTART;TZID=UTC:20261006T140000
DTEND;TZID=UTC:20261006T153000
DTSTAMP:20260917T211651
CREATED:20260915T143805Z
LAST-MODIFIED:20260915T143805Z
UID:3276-1791295200-1791300600@live-rutgers-data-science-and-ai-collaboratory.pantheonsite.io
SUMMARY:Data Analysis 1
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 \nDate:Tuesday\, October 6\, 2026 \nTime:2:00pm – 3:30pm \nTime Zone:Eastern Time – US & Canada (change) \nDivision:New Brunswick \nEvent Type:   Workshop  \nTopics:   Data  \nOnline:This is an online event. Event URL will be sent via registration email.  Register here: https://libcal.rutgers.edu/event/17302058
URL:https://live-rutgers-data-science-and-ai-collaboratory.pantheonsite.io/event/data-analysis-1-2/
CATEGORIES:Rutgers Events
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20261006T160000
DTEND;TZID=UTC:20261006T180000
DTSTAMP:20260917T211651
CREATED:20260915T144208Z
LAST-MODIFIED:20260915T144208Z
UID:3278-1791302400-1791309600@live-rutgers-data-science-and-ai-collaboratory.pantheonsite.io
SUMMARY:Working with Spatial Data in GeoPandas
DESCRIPTION:Learn applied spatial analysis through these key topics: \n\nUsing GeoPandas\nSpatial joins\n\nAttendees will develop a mapping datasets using GeoPandas. \n(GIS & Spatial Analytics\, Workshop 2) \nInstructor: Terri-Ann Grant \n\nRelated LibGuide:  Data Science – Graduate Specialists by Ryan Womack \nDate:Tuesday\, October 6\, 2026 \nTime:4:00pm – 6:00pm \nTime Zone:Eastern Time – US & Canada (change) \nEvent Type:   Workshop  \nTopics:   Data  \nOnline:This is an online event. Event URL will be sent via registration email.  Register here: https://libcal.rutgers.edu/event/17543129
URL:https://live-rutgers-data-science-and-ai-collaboratory.pantheonsite.io/event/working-with-spatial-data-in-geopandas/
CATEGORIES:Rutgers Events
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20261007T153000
DTEND;TZID=UTC:20261007T170000
DTSTAMP:20260917T211651
CREATED:20260915T144702Z
LAST-MODIFIED:20260915T144702Z
UID:3280-1791387000-1791392400@live-rutgers-data-science-and-ai-collaboratory.pantheonsite.io
SUMMARY:Data Sources 1
DESCRIPTION:This workshop 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:Wednesday\, October 7\, 2026 \nTime:3:30pm – 5:00pm \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/17302054
URL:https://live-rutgers-data-science-and-ai-collaboratory.pantheonsite.io/event/data-sources-1/
CATEGORIES:Rutgers Events
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20261009T130000
DTEND;TZID=UTC:20261009T134000
DTSTAMP:20260917T211651
CREATED:20260915T145159Z
LAST-MODIFIED:20260915T145159Z
UID:3282-1791550800-1791553200@live-rutgers-data-science-and-ai-collaboratory.pantheonsite.io
SUMMARY:Coding in NVivo
DESCRIPTION:Coding in NVivo allows participants to tag and organize data by theme so patterns can be identified across files. This session covers file classification and attributes as a way to organize files\, autocoding as an entry point to qualitative coding\, and manual coding. It assumes participants already know how to create a project and bring in files in NVivo. \n\nFile classification & attributes\nAutocoding (by speakers & paragraph styles)\nManual coding (inductive vs. deductive)\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\, October 9\, 2026 \nTime:1:00pm – 1:40pm \nTime Zone:Eastern Time – US & Canada (change) \nDivision:New Brunswick \nEvent Type:   Workshop  \nTopics:   Data  \nOnline:This is an online event. Event URL will be sent via registration email.  Register here: https://libcal.rutgers.edu/event/17526997
URL:https://live-rutgers-data-science-and-ai-collaboratory.pantheonsite.io/event/coding-in-nvivo/
CATEGORIES:Rutgers Events
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20261013T140000
DTEND;TZID=UTC:20261013T153000
DTSTAMP:20260917T211651
CREATED:20260915T145645Z
LAST-MODIFIED:20260915T145645Z
UID:3284-1791900000-1791905400@live-rutgers-data-science-and-ai-collaboratory.pantheonsite.io
SUMMARY:Data Analysis 2
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 \nDate:Tuesday\, October 13\, 2026 \nTime:2:00pm – 3:30pm \nTime Zone:Eastern Time – US & Canada (change) \nDivision:New Brunswick \nEvent Type:   Workshop  \nTopics:   Data  \nOnline:This is an online event. Event URL will be sent via registration email.  Register here: https://libcal.rutgers.edu/event/17302065
URL:https://live-rutgers-data-science-and-ai-collaboratory.pantheonsite.io/event/data-analysis-2-3/
CATEGORIES:Rutgers Events
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20261013T160000
DTEND;TZID=UTC:20261013T180000
DTSTAMP:20260917T211651
CREATED:20260915T150155Z
LAST-MODIFIED:20260915T150155Z
UID:3286-1791907200-1791914400@live-rutgers-data-science-and-ai-collaboratory.pantheonsite.io
SUMMARY:Data Visualization for Decision Makers
DESCRIPTION:Learn how to communicate insights effectively\, with the goal of outputting polished visualizations and an annotated chart\, through these key topics: \n\nPrinciples of effective visualization\nImproving poor charts\nAdding narrative and context\n\nAttendees will develop polished visualizations and an annotated chart with insights. \n(Applied Data Science\, Workshop 3) \nInstructor: Terri-Ann Grant \n\nRelated LibGuide:  Data Science – Graduate Specialists by Ryan Womack \nDate:Tuesday\, October 13\, 2026 \nTime:4:00pm – 6:00pm \nTime Zone:Eastern Time – US & Canada (change) \nEvent Type:   Workshop  \nTopics:   Data  \nOnline:This is an online event. Event URL will be sent via registration email.  Register here: https://libcal.rutgers.edu/event/17541069
URL:https://live-rutgers-data-science-and-ai-collaboratory.pantheonsite.io/event/data-visualization-for-decision-makers/
CATEGORIES:Rutgers Events
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20261015T150000
DTEND;TZID=UTC:20261015T163000
DTSTAMP:20260917T211651
CREATED:20260915T151010Z
LAST-MODIFIED:20260915T151010Z
UID:3288-1792076400-1792081800@live-rutgers-data-science-and-ai-collaboratory.pantheonsite.io
SUMMARY:Data Visualization with Embroidery
DESCRIPTION:What do wartime\, espionnage\, and steganography have in common? Embroidery! Come for a brief history of data visualization in textiles and a hands-on activity in which we will learn to assemble and translate data into stitches. All levels of experience are welcome\, including no experience at all. This is a hybrid workshop; materials will be provided to in person participants. \nRegister for this workshop. \nFacilitator: Francesca Giannetti\, Digital Humanities Librarian \nDate:Thursday\, October 15\, 2026 \nTime:3:00pm – 4:30pm \nTime Zone:Eastern Time – US & Canada (change) \nLocation:Alexander Library Digital Humanities Lab\, Rm. 406-407 \nDivision:New Brunswick \nEvent Type:   Workshop  \nTopics:   Data  Digital Humanities  \nRegister here: https://libcal.rutgers.edu/event/17621114
URL:https://live-rutgers-data-science-and-ai-collaboratory.pantheonsite.io/event/data-visualization-with-embroidery/
CATEGORIES:Rutgers Events
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20261016T130000
DTEND;TZID=UTC:20261016T134000
DTSTAMP:20260917T211651
CREATED:20260915T151157Z
LAST-MODIFIED:20260915T151157Z
UID:3290-1792155600-1792158000@live-rutgers-data-science-and-ai-collaboratory.pantheonsite.io
SUMMARY:Coding in NVivo
DESCRIPTION:Coding in NVivo allows participants to tag and organize data by theme so patterns can be identified across files. This session covers file classification and attributes as a way to organize files\, autocoding as an entry point to qualitative coding\, and manual coding. It assumes participants already know how to create a project and bring in files in NVivo. This workshop is presented by Xu Guo\, Qualitative Research Graduate Specialist\, New Brunswick Libraries. \n\nFile classification & attributes\nAutocoding (by speakers & paragraph styles)\nManual coding (inductive vs. deductive)\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\, October 16\, 2026 \nTime:1:00pm – 1:40pm \nTime Zone:Eastern Time – US & Canada (change) \nDivision:New Brunswick \nEvent Type:   Workshop  \nTopics:   Data  \nOnline:This is an online event. Event URL will be sent via registration email.  Register here: https://libcal.rutgers.edu/event/17526993
URL:https://live-rutgers-data-science-and-ai-collaboratory.pantheonsite.io/event/coding-in-nvivo-2/
CATEGORIES:Rutgers Events
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20261020T140000
DTEND;TZID=UTC:20261020T153000
DTSTAMP:20260917T211651
CREATED:20260915T151349Z
LAST-MODIFIED:20260915T151349Z
UID:3292-1792504800-1792510200@live-rutgers-data-science-and-ai-collaboratory.pantheonsite.io
SUMMARY:Data Visualization 1
DESCRIPTION:This workshop covers basic data visualization in R\, with emphasis on ggplot2 and associated packages. The focus here is on R techniques\, with a brief comparison to Python techniques for accomplishing similar tasks\, such as seaborn and matplotlib. \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\, October 20\, 2026 \nTime:2:00pm – 3:30pm \nTime Zone:Eastern Time – US & Canada (change) \nDivision:New Brunswick \nEvent Type:   Workshop  \nTopics:   Data  \nOnline:This is an online event. Event URL will be sent via registration email.  Register here: https://libcal.rutgers.edu/event/17302081
URL:https://live-rutgers-data-science-and-ai-collaboratory.pantheonsite.io/event/data-visualization-1-2/
CATEGORIES:Rutgers Events
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20261020T160000
DTEND;TZID=UTC:20261020T180000
DTSTAMP:20260917T211651
CREATED:20260915T152402Z
LAST-MODIFIED:20260915T152402Z
UID:3294-1792512000-1792519200@live-rutgers-data-science-and-ai-collaboratory.pantheonsite.io
SUMMARY:Cartography and Effective Map Design
DESCRIPTION:Learn cartographic principles through these key topics: \n\nDesign principles in GIS\nProximity and accessibility\nService coverage analysis\n\nAttendees will practice mapping and develop decision-based insights. \n(GIS & Spatial Analytics\, Workshop 3) \nInstructor: Terri-Ann Grant \n\nRelated LibGuide:  Data Science – Graduate Specialists by Ryan Womack \nDate:Tuesday\, October 20\, 2026 \nTime:4:00pm – 6:00pm \nTime Zone:Eastern Time – US & Canada (change) \nEvent Type:   Workshop  \nTopics:   Data  \nOnline:This is an online event. Event URL will be sent via registration email.  Register here: https://libcal.rutgers.edu/event/17543063
URL:https://live-rutgers-data-science-and-ai-collaboratory.pantheonsite.io/event/cartography-and-effective-map-design/
CATEGORIES:Rutgers Events
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20261021T153000
DTEND;TZID=UTC:20261021T170000
DTSTAMP:20260917T211651
CREATED:20260915T152834Z
LAST-MODIFIED:20260915T152834Z
UID:3296-1792596600-1792602000@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:Wednesday\, October 21\, 2026 \nTime:3:30pm – 5:00pm \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/17302084
URL:https://live-rutgers-data-science-and-ai-collaboratory.pantheonsite.io/event/data-publication-1-2/
CATEGORIES:Rutgers Events
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20261023T113000
DTEND;TZID=UTC:20261023T123000
DTSTAMP:20260917T211651
CREATED:20260915T155241Z
LAST-MODIFIED:20260915T155241Z
UID:3298-1792755000-1792758600@live-rutgers-data-science-and-ai-collaboratory.pantheonsite.io
SUMMARY:Policy Map: Accessing and Mapping Data Indicators
DESCRIPTION:Join us for an introduction to the online data and mapping application\, PolicyMap\, which provides access to indicators related to U.S. housing\, crime\, mortgages\, health\, jobs\, demographics\, and education. \nRegistration link: https://go.rutgers.edu/PolicyMap \nDate:Friday\, October 23\, 2026 \nTime:11:30am – 12:30pm \nTime Zone:Eastern Time – US & Canada (change) \nDivision:Camden \nEvent Type:   Workshop   Topics:   Data       Library Resources  \nOnline:This is an online event.  Register here: https://rutgers.zoom.us/meeting/register/ZytPQ3V1SVu8v29FD-qWkA#/registration \nEvent URL: https://go.rutgers.edu/PolicyMap
URL:https://live-rutgers-data-science-and-ai-collaboratory.pantheonsite.io/event/policy-map-accessing-and-mapping-data-indicators/
CATEGORIES:Rutgers Events
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20261027T140000
DTEND;TZID=UTC:20261027T153000
DTSTAMP:20260917T211651
CREATED:20260915T155804Z
LAST-MODIFIED:20260915T155804Z
UID:3300-1793109600-1793115000@live-rutgers-data-science-and-ai-collaboratory.pantheonsite.io
SUMMARY:Data Visualization 2
DESCRIPTION:This session covers creating interactive visualizations with Shiny in RStudio\, 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 \nDate:Tuesday\, October 27\, 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/17302091
URL:https://live-rutgers-data-science-and-ai-collaboratory.pantheonsite.io/event/data-visualization-2-3/
CATEGORIES:Rutgers Events
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20261027T160000
DTEND;TZID=UTC:20261027T180000
DTSTAMP:20260917T211651
CREATED:20260915T160709Z
LAST-MODIFIED:20260915T160709Z
UID:3302-1793116800-1793124000@live-rutgers-data-science-and-ai-collaboratory.pantheonsite.io
SUMMARY:Applied Machine Learning with SHAP
DESCRIPTION:Learn practical ML application to achieve a simple predictive model and performance interpretation through these key topics: \n\nWhen to use machine learning\nBasic model building\nModel evaluation and limitations\n\nAttendees will develop a simple predictive model with associated performance interpretation. \n(Applied Data Science\, Workshop 4) \nInstructor: Terri-Ann Grant \n\nRelated LibGuide:  Data Science – Graduate Specialists by Ryan Womack \nDate:Tuesday\, October 27\, 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/17541072
URL:https://live-rutgers-data-science-and-ai-collaboratory.pantheonsite.io/event/applied-machine-learning-with-shap/
CATEGORIES:Rutgers Events
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20261028T153000
DTEND;TZID=UTC:20261028T170000
DTSTAMP:20260917T211651
CREATED:20260915T160953Z
LAST-MODIFIED:20260915T160953Z
UID:3304-1793201400-1793206800@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 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:Wednesday\, October 28\, 2026 \nTime:3:30pm – 5:00pm \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/17302095
URL:https://live-rutgers-data-science-and-ai-collaboratory.pantheonsite.io/event/data-publication-2/
CATEGORIES:Rutgers Events
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20261030T130000
DTEND;TZID=UTC:20261030T134000
DTSTAMP:20260917T211651
CREATED:20260915T161206Z
LAST-MODIFIED:20260915T161206Z
UID:3306-1793365200-1793367600@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\, October 30\, 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/17526972
URL:https://live-rutgers-data-science-and-ai-collaboratory.pantheonsite.io/event/queries-in-nvivo/
CATEGORIES:Rutgers Events
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20261103T140000
DTEND;TZID=UTC:20261103T153000
DTSTAMP:20260917T211651
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:20260917T211651
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:20260917T211651
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:20260917T211651
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:20260917T211651
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:20260917T211651
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:20260917T211651
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:20260917T211651
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:20260917T211651
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:20260917T211651
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:20260917T211651
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:20260917T211651
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:20260917T211651
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:20260917T211651
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
END:VCALENDAR