BEGIN:VCALENDAR
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PRODID:-//The Rutgers Artificial Intelligence and Data Science (RAD) Collaboratory - ECPv6.11.2//NONSGML v1.0//EN
CALSCALE:GREGORIAN
METHOD:PUBLISH
X-ORIGINAL-URL:https://live-rutgers-data-science-and-ai-collaboratory.pantheonsite.io
X-WR-CALDESC:Events for The Rutgers Artificial Intelligence and Data Science (RAD) Collaboratory
REFRESH-INTERVAL;VALUE=DURATION:PT1H
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X-PUBLISHED-TTL:PT1H
BEGIN:VTIMEZONE
TZID:UTC
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TZOFFSETFROM:+0000
TZOFFSETTO:+0000
TZNAME:UTC
DTSTART:20260101T000000
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTART;TZID=UTC:20260917T130000
DTEND;TZID=UTC:20260917T140000
DTSTAMP:20260917T231335
CREATED:20260915T140307Z
LAST-MODIFIED:20260915T140307Z
UID:3256-1789650000-1789653600@live-rutgers-data-science-and-ai-collaboratory.pantheonsite.io
SUMMARY:Citation Management with Zotero
DESCRIPTION:Get started early with keeping track of what you read! Zotero is a free application that collects\, manages\, and formats citations and bibliographies. In this introductory\, hands-on workshop\, we’ll learn how to organize sources\, attach PDFs and notes\, create tags for easy searching\, and generate bibliographies. Bring your personal laptop\, download Zotero 9.0 10 for your OS\, and the Zotero Connector for your favorite browser. \nRegister for this hybrid workshop. \nInstructor: Francesca Giannetti\, Digital Humanities Librarian \n\nRelated LibGuide:  Zotero by Mei Ling Lo \nDate: Thursday\, September 17\, 2026 \nTime:1:00pm – 2:00pm \nTime Zone:Eastern Time – US & Canada (change) \nLocation:Alexander Library Digital Humanities Lab\, Rm. 406-407 \nDivision:New Brunswick \nEvent Type:   Workshop  \nTopics:   Citation Management       Data
URL:https://live-rutgers-data-science-and-ai-collaboratory.pantheonsite.io/event/citation-management-with-zotero/
CATEGORIES:Rutgers Events
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20260917T130000
DTEND;TZID=UTC:20260917T143000
DTSTAMP:20260917T231335
CREATED:20260915T175313Z
LAST-MODIFIED:20260915T175313Z
UID:3353-1789650000-1789655400@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/ \nDate:Thursday\, September 17\, 2026 \nTime:1:00pm – 2:30pm \nTime Zone:Eastern Time – US & Canada (change) \nDivision:New Brunswick \nEvent Type:   Workshop   Topics:   Data       Research Methods  \nOnline:This is an online event. Event URL: https://it.rutgers.edu/research-computing/event/intro-to-amarel-hpc-cluster/
URL:https://live-rutgers-data-science-and-ai-collaboratory.pantheonsite.io/event/intro-to-amarel-hpc-cluster/
CATEGORIES:Rutgers Events
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20260918T130000
DTEND;TZID=UTC:20260918T134000
DTSTAMP:20260917T231335
CREATED:20260915T140645Z
LAST-MODIFIED:20260915T140645Z
UID:3258-1789736400-1789738800@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 18\, 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/17527061
URL:https://live-rutgers-data-science-and-ai-collaboratory.pantheonsite.io/event/overview-qualitative-methods-and-nvivo/
CATEGORIES:Rutgers Events
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20260921T120000
DTEND;TZID=UTC:20260921T133000
DTSTAMP:20260917T231335
CREATED:20260915T140955Z
LAST-MODIFIED:20260915T140955Z
UID:3260-1789992000-1789997400@live-rutgers-data-science-and-ai-collaboratory.pantheonsite.io
SUMMARY:Data Science Basics: Intro to Python (Without the Scary)
DESCRIPTION:Coding doesn’t have to be intimidating. Python is one of the easiest programming languages to learn\, and it’s used everywhere\, from apps to automation to data analysis. In this workshop\, we’ll start with the basics\, step by step\, and show you how Python can be applied to everyday problems in a way that’s simple and practical. By the end\, you’ll not only run your first Python code but also understand how learning this language can open new opportunities in study\, work\, and beyond. \nAudience Tools: Google Colab (free on web\, no installation required) \nRelated LibGuide:  Data Science – Graduate Specialists by Ryan Womack \nDate:Monday\, September 21\, 2026 \nTime:12:00pm – 1:30pm \nTime Zone:Eastern Time – US & Canada (change) \nDivision:New BrunswickEvent \nType:   Workshop  \nTopics:   Data   Online: \nThis is an online event. Event URL will be sent via registration email. Register here: https://libcal.rutgers.edu/event/17530844
URL:https://live-rutgers-data-science-and-ai-collaboratory.pantheonsite.io/event/data-science-basics-intro-to-python-without-the-scary/
CATEGORIES:Rutgers Events
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20260922T160000
DTEND;TZID=UTC:20260922T180000
DTSTAMP:20260917T231335
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:20260917T231335
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:20260917T231335
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:20260917T231335
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:20260917T231335
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:20260917T231335
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:20260917T231335
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
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