BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//The Rutgers Artificial Intelligence and Data Science (RAD) Collaboratory - ECPv6.11.2//NONSGML v1.0//EN
CALSCALE:GREGORIAN
METHOD:PUBLISH
X-ORIGINAL-URL:https://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:20270101T000000
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTART;TZID=UTC:20270127T153000
DTEND;TZID=UTC:20270127T170000
DTSTAMP:20260918T083410
CREATED:20260915T170345Z
LAST-MODIFIED:20260915T170345Z
UID:3338-1801063800-1801069200@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:Wednesday\, January 27\, 2027 \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/17563465
URL:https://live-rutgers-data-science-and-ai-collaboratory.pantheonsite.io/event/data-analysis-2-4/
CATEGORIES:Rutgers Events
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20270203T153000
DTEND;TZID=UTC:20270203T170000
DTSTAMP:20260918T083410
CREATED:20260915T173247Z
LAST-MODIFIED:20260915T173247Z
UID:3340-1801668600-1801674000@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\, February 3\, 2027 \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/17563484
URL:https://live-rutgers-data-science-and-ai-collaboratory.pantheonsite.io/event/data-visualization-1-3/
CATEGORIES:Rutgers Events
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20270210T153000
DTEND;TZID=UTC:20270210T170000
DTSTAMP:20260918T083410
CREATED:20260915T174525Z
LAST-MODIFIED:20260915T174525Z
UID:3343-1802273400-1802278800@live-rutgers-data-science-and-ai-collaboratory.pantheonsite.io
SUMMARY:Data Visualization 2
DESCRIPTION:This 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\, February 10\, 2027 \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.  Click here to register: https://libcal.rutgers.edu/event/17563489
URL:https://live-rutgers-data-science-and-ai-collaboratory.pantheonsite.io/event/data-visualization-2-4/
CATEGORIES:Rutgers Events
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20270217T153000
DTEND;TZID=UTC:20270217T170000
DTSTAMP:20260918T083410
CREATED:20260915T174717Z
LAST-MODIFIED:20260915T180032Z
UID:3346-1802878200-1802883600@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\, February 17\, 2027 \nTime:3:30pm – 5:00pm \nTime Zone:Eastern Time – US & Canada (change) \nDivision:New BrunswickE \nvent 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/17563519
URL:https://live-rutgers-data-science-and-ai-collaboratory.pantheonsite.io/event/data-sources-1-3/
CATEGORIES:Rutgers Events
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20270303T153000
DTEND;TZID=UTC:20270303T170000
DTSTAMP:20260918T083410
CREATED:20260915T174852Z
LAST-MODIFIED:20260915T174904Z
UID:3348-1804087800-1804093200@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  \n\nRelated LibGuide:  Data Topics by Ryan Womack \nDate:Wednesday\, March 3\, 2027 \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/17563533
URL:https://live-rutgers-data-science-and-ai-collaboratory.pantheonsite.io/event/3348/
CATEGORIES:Rutgers Events
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20270310T153000
DTEND;TZID=UTC:20270310T170000
DTSTAMP:20260918T083410
CREATED:20260915T175040Z
LAST-MODIFIED:20260915T175040Z
UID:3351-1804692600-1804698000@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\, March 10\, 2027 \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/17563545
URL:https://live-rutgers-data-science-and-ai-collaboratory.pantheonsite.io/event/data-publication-2-3/
CATEGORIES:Rutgers Events
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20270409T080000
DTEND;TZID=UTC:20270409T140000
DTSTAMP:20260918T083410
CREATED:20260518T080000Z
LAST-MODIFIED:20260818T205001Z
UID:3054-1807257600-1807279200@live-rutgers-data-science-and-ai-collaboratory.pantheonsite.io
SUMMARY:RAD Collaboratory Research Symposium
DESCRIPTION:The Rutgers Artificial Intelligence and Data Science (RAD) Collaboratory is pleased to announce that its second annual Research Symposium will be held on Friday\, April 9\, 2027 at the Busch Student Center. \nThis in-person symposium brings together Rutgers faculty\, research staff\, postdoctoral fellows\, students\, and partners from industry to showcase data science and artificial intelligence research through keynote lectures\, and Rutgers faculty and industry panel discussions\, followed by a trainee poster session.   \nThe event aligns with the RAD Collaboratory\, a New Brunswick Chancellor Signature Initiative overseen by The Rutgers–New Brunswick Office for Research that advances collaborative data science and AI/ML research\, student programming\, and community engagement across Rutgers.  \nFor more information and to register: go.rutgers.edu/rad_symposium \nThis symposium is made possible with funding and support provided by the Rutgers-New Brunswick Office of the Chancellor\, the Rutgers-New Brunswick Office for Research\, and the Rutgers University Office of the Executive Vice President for Academic Affairs.
URL:https://live-rutgers-data-science-and-ai-collaboratory.pantheonsite.io/event/research-symposium-2027/
CATEGORIES:RAD Collaboratory Events,Rutgers Events
END:VEVENT
END:VCALENDAR