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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
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:20260922T160000
DTEND;TZID=UTC:20260922T180000
DTSTAMP:20260917T235124
CREATED:20260915T141616Z
LAST-MODIFIED:20260915T141616Z
UID:3262-1790092800-1790100000@live-rutgers-data-science-and-ai-collaboratory.pantheonsite.io
SUMMARY:Introduction to Spatial Data and GIS Concepts
DESCRIPTION:Learn the foundations of spatial data through these key topics: \n\nSpatial data types (points\, lines\, polygons)\nBasic mapping\n\nAttendees will develop a simple spatial dataset and map visualization. \n(GIS & Spatial Analytics\, Workshop 1) \nInstructor: Terri-Ann Grant \n\nRelated LibGuide:  Data Science – Graduate Specialists by Ryan Womack \nDate:Tuesday\, September 22\, 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/17543140
URL:https://live-rutgers-data-science-and-ai-collaboratory.pantheonsite.io/event/introduction-to-spatial-data-and-gis-concepts/
CATEGORIES:Rutgers Events
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20260923T153000
DTEND;TZID=UTC:20260923T170000
DTSTAMP:20260917T235124
CREATED:20260915T141926Z
LAST-MODIFIED:20260915T141926Z
UID:3264-1790177400-1790182800@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:Wednesday\, September 23\, 2026 \nTime:3:30pm – 5:00pm \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/17302046
URL:https://live-rutgers-data-science-and-ai-collaboratory.pantheonsite.io/event/data-visualization-1/
CATEGORIES:Rutgers Events
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20260925T093000
DTEND;TZID=UTC:20260925T154500
DTSTAMP:20260917T235124
CREATED:20260629T164557Z
LAST-MODIFIED:20260629T164557Z
UID:3218-1790328600-1790351100@live-rutgers-data-science-and-ai-collaboratory.pantheonsite.io
SUMMARY:2026 Postdoctoral Research Symposium
DESCRIPTION:Please use this link to submit abstracts and/or to register. \nThe Rutgers Postdoctoral Association invites the Rutgers community to attend the 2026 Rutgers University Postdoctoral Research Symposium.  \nFriday September 25 from 9:30am-3:45pm in Kessler Teaching Wing of RWJMS Research Tower (675 Hoes Lane West\, Piscataway\, NJ). \nThe event will feature interdisciplinary research presentations\, networking opportunities with Rutgers postdoctoral researchers\, and a keynote address by Dr. Julia Stoyanovich\, Associate Professor of Data Science and Director of Center for Responsible AI\, NYU Tandon School of Engineering. \nDesigned to showcase innovative research\, the symposium aims to promote connections among postdocs\, encourage new collaborations\, and provide a platform for sharing research with a diverse scientific audience. Additional details are available in the flyer below\, and participants are encouraged to register and submit an abstract. \nRegistration is free\, and abstract submissions will be accepted through July 31\, 2026.  \nFaculty members are encouraged to support and motivate their postdoctoral fellows to present their work. The symposium board is also seeking faculty to serve as judges for oral and poster presentations. \nFor questions\, please reach out to the Postdoctoral Association at rutgerspda@gmail.com. We look forward to spending a day celebrating the amazing work that Rutgers postdocs are doing!
URL:https://live-rutgers-data-science-and-ai-collaboratory.pantheonsite.io/event/2026-postdoctoral-research-symposium/
LOCATION:RWJMS Research Tower\, 675 Hoes Lane W\, Piscataway\, NEW JERSEY\, 08854\, United States
CATEGORIES:Rutgers Events
ORGANIZER;CN="Rutgers Postdoctoral Association":MAILTO:rutgerspda@gmail.com
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20260925T130000
DTEND;TZID=UTC:20260925T134000
DTSTAMP:20260917T235124
CREATED:20260915T142311Z
LAST-MODIFIED:20260915T142311Z
UID:3266-1790341200-1790343600@live-rutgers-data-science-and-ai-collaboratory.pantheonsite.io
SUMMARY:Overview: Qualitative Methods and NVivo
DESCRIPTION:NVivo is a qualitative data analysis software that helps researchers manage\, code\, and markup data for qualitative studies. In this session\, participants will get the conceptual background before touching the software\, then bring data into NVivo and prepare it for analysis. Memos and mind maps give participants a low-pressure way to start thinking about their data before formal coding. \n\nOverview of qualitative methods\nCreating a project in NVivo and adding files\nExternals\, memos\, and mind maps\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\, September 25\, 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/17527037
URL:https://live-rutgers-data-science-and-ai-collaboratory.pantheonsite.io/event/overview-qualitative-methods-and-nvivo-2/
CATEGORIES:Rutgers Events
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20260928T120000
DTEND;TZID=UTC:20260928T133000
DTSTAMP:20260917T235124
CREATED:20260915T142658Z
LAST-MODIFIED:20260915T142658Z
UID:3268-1790596800-1790602200@live-rutgers-data-science-and-ai-collaboratory.pantheonsite.io
SUMMARY:Data Science Basics: Python Part 2 - From Basics to Data
DESCRIPTION:Once you’ve taken your first steps with Python\, it’s time to do more. In this workshop\, we’ll go further into how Python can help you work with information. You’ll learn how to handle collections of data\, write simple reusable code\, and explore how to pull meaning out of datasets. By working hands-on with examples\, you’ll see how coding can become a useful everyday tool\, not just something for computer scientists. No previous experience with Python is necessary for this workshop. \nAudience Tools: Google Colab (free on web\, no installation required) \nRelated LibGuide:  Data Science – Graduate Specialists by Ryan Womack \nDate:Monday\, September 28\, 2026 \nTime:12:00pm – 1:30pm \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/17534404
URL:https://live-rutgers-data-science-and-ai-collaboratory.pantheonsite.io/event/data-science-basics-python-part-2-from-basics-to-data-2/
CATEGORIES:Rutgers Events
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20260929T160000
DTEND;TZID=UTC:20260929T180000
DTSTAMP:20260917T235124
CREATED:20260915T142912Z
LAST-MODIFIED:20260915T142912Z
UID:3270-1790697600-1790704800@live-rutgers-data-science-and-ai-collaboratory.pantheonsite.io
SUMMARY:Regression for Real-World Decision Making
DESCRIPTION:Learn to interpret models for decision making through these key topics: \n\nLinear and logistic regression\nModel interpretation (coefficients\, significance)\nTranslating results into real-world meaning\n\nAttendees will develop a regression model with associated plain-language interpretation. \n(Applied Data Science\, Workshop 2) \nInstructor: Terri-Ann Grant \n\nRelated LibGuide:  Data Science – Graduate Specialists by Ryan Womack \nDate:Tuesday\, September 29\, 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/17541045
URL:https://live-rutgers-data-science-and-ai-collaboratory.pantheonsite.io/event/regression-for-real-world-decision-making/
CATEGORIES:Rutgers Events
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20260930T153000
DTEND;TZID=UTC:20260930T170000
DTSTAMP:20260917T235124
CREATED:20260915T143118Z
LAST-MODIFIED:20260915T143118Z
UID:3272-1790782200-1790787600@live-rutgers-data-science-and-ai-collaboratory.pantheonsite.io
SUMMARY:Data Visualization 2
DESCRIPTION:Data Visualization 2\n\n\n\nThis workshop will cover creating interactive visualizations with Shiny in RStudio\, as well as 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:Wednesday\, September 30\, 2026 \nTime:3:30pm – 5:00pm \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/17302051
URL:https://live-rutgers-data-science-and-ai-collaboratory.pantheonsite.io/event/data-visualization-2-2/
CATEGORIES:Rutgers Events
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20261005T120000
DTEND;TZID=UTC:20261005T130000
DTSTAMP:20260917T235124
CREATED:20260915T143416Z
LAST-MODIFIED:20260915T143416Z
UID:3274-1791201600-1791205200@live-rutgers-data-science-and-ai-collaboratory.pantheonsite.io
SUMMARY: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. \nJoin us to build essential digital safety skills and take control of your online privacy. \n\nRelated LibGuide:  Data Science – Graduate Specialists by Ryan Womack \nDate:Monday\, October 5\, 2026 \nTime:12:00pm – 1:00pm \nTime Zone:Eastern Time – US & Canada (change) \nDivision:New Brunswick \nEvent Type:   Workshop  \nTopics:   Data       Digital Privacy  \nOnline:This is an online event. Event URL will be sent via registration email.  Register here: https://libcal.rutgers.edu/event/17513390
URL:https://live-rutgers-data-science-and-ai-collaboratory.pantheonsite.io/event/data-science-basics-keeping-your-data-safe/
CATEGORIES:Rutgers Events
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20261006T140000
DTEND;TZID=UTC:20261006T153000
DTSTAMP:20260917T235124
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:20260917T235124
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:20260917T235124
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:20260917T235124
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:20260917T235124
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:20260917T235124
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:20260917T235124
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:20260917T235124
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:20260917T235124
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:20260917T235124
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:20260917T235124
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:20260917T235124
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:20260917T235124
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:20260917T235124
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:20260917T235124
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:20260917T235124
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:20260917T235124
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:20260917T235124
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:20260917T235124
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:20260917T235124
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:20260917T235124
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:20260917T235124
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
END:VCALENDAR