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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:20261106T150000
DTEND;TZID=UTC:20261106T160000
DTSTAMP:20260917T234459
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:20260917T234459
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:20260917T234459
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:20260917T234459
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:20260917T234459
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:20260917T234459
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:20260917T234459
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:20260917T234459
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:20260917T234459
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:20260917T234459
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
BEGIN:VEVENT
DTSTART;TZID=UTC:20261211T150000
DTEND;TZID=UTC:20261211T160000
DTSTAMP:20260917T234459
CREATED:20260915T165630Z
LAST-MODIFIED:20260915T165630Z
UID:3333-1797001200-1797004800@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\, December 11\, 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/17379171
URL:https://live-rutgers-data-science-and-ai-collaboratory.pantheonsite.io/event/fundamentals-of-tableau-2/
CATEGORIES:Rutgers Events
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20270120T153000
DTEND;TZID=UTC:20270120T170000
DTSTAMP:20260917T234459
CREATED:20260915T170013Z
LAST-MODIFIED:20260915T170013Z
UID:3336-1800459000-1800464400@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:Wednesday\, January 20\, 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/17563458
URL:https://live-rutgers-data-science-and-ai-collaboratory.pantheonsite.io/event/data-analysis-1-3/
CATEGORIES:Rutgers Events
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20270127T153000
DTEND;TZID=UTC:20270127T170000
DTSTAMP:20260917T234459
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:20260917T234459
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:20260917T234459
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:20260917T234459
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:20260917T234459
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:20260917T234459
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:20260917T234459
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
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