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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
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TZID:UTC
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TZOFFSETFROM:+0000
TZOFFSETTO:+0000
TZNAME:UTC
DTSTART:20260101T000000
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BEGIN:VEVENT
DTSTART;TZID=UTC:20260915T160000
DTEND;TZID=UTC:20260915T180000
DTSTAMP:20260918T172536
CREATED:20260915T135304Z
LAST-MODIFIED:20260915T135304Z
UID:3252-1789488000-1789495200@live-rutgers-data-science-and-ai-collaboratory.pantheonsite.io
SUMMARY:From Raw Data to Insight with Python
DESCRIPTION:Learn how to apply a complete data analysis pipeline focusing on the key topics: \n\nData loading and cleaning (Pandas)\nExploratory data analysis (EDA)\nIdentifying patterns and insights\n\nAttendees will develop a clean dataset\, EDA notebook\, and key insight summary. \n(Applied Data Science\, Workshop 1) \nInstructor: Terri-Ann Grant \n\nRelated LibGuide:  Data Science – Graduate Specialists by Ryan Womack \nDate:Tuesday\, September 15\, 2026 \nTime:4:00pm – 6:00pm \nTime Zone:Eastern Time – US & Canada \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/17541024
URL:https://live-rutgers-data-science-and-ai-collaboratory.pantheonsite.io/event/from-raw-data-to-insight-with-python/
CATEGORIES:Rutgers Events
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20260916T100000
DTEND;TZID=UTC:20260916T110000
DTSTAMP:20260918T172536
CREATED:20260918T155757Z
LAST-MODIFIED:20260918T164808Z
UID:3358-1789552800-1789556400@live-rutgers-data-science-and-ai-collaboratory.pantheonsite.io
SUMMARY:DIMACS AI and Mathematics Seminar Series
DESCRIPTION:The seminar explores the fast-growing interface between mathematical reasoning\, formal methods\, and modern AI systems. It is co-organized by DIMACS and the Mathematics Department at Rutgers University\, New Brunswick. Here is the YouTube channel for the talks in this seminar. \nDate: Sep 16\, 2026 \nSpeaker: Steven Creech (Rutgers) \nTitle/Materials: Euclidean Geometry\, AI\, and Teaching \nTime: 10:00–11:00 AM \nLocation: Hill 705 \nContact: steven.creech@.rutgers.edu \nWebsite: https://ai-math-seminar.github.io/seminar/
URL:https://live-rutgers-data-science-and-ai-collaboratory.pantheonsite.io/event/dimacs-ai-and-mathematics-seminar-series/
CATEGORIES:Rutgers Events
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20260916T153000
DTEND;TZID=UTC:20260916T170000
DTSTAMP:20260918T172536
CREATED:20260915T135526Z
LAST-MODIFIED:20260915T135526Z
UID:3254-1789572600-1789578000@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\, September 16\, 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/17302044
URL:https://live-rutgers-data-science-and-ai-collaboratory.pantheonsite.io/event/data-analysis-2-2/
CATEGORIES:Rutgers Events
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20260917T130000
DTEND;TZID=UTC:20260917T140000
DTSTAMP:20260918T172536
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:20260918T172536
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:20260918T172536
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:20260918T172536
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:20260918T172536
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:20260923T100000
DTEND;TZID=UTC:20260923T110000
DTSTAMP:20260918T172536
CREATED:20260918T160000Z
LAST-MODIFIED:20260918T164853Z
UID:3361-1790157600-1790161200@live-rutgers-data-science-and-ai-collaboratory.pantheonsite.io
SUMMARY:DIMACS AI and Mathematics Seminar Series
DESCRIPTION:Schedule subject to change; check https://ai-math-seminar.github.io/seminar/ for speakers\, abstracts\, and slides. \nThe seminar explores the fast-growing interface between mathematical reasoning\, formal methods\, and modern AI systems. It is co-organized by DIMACS and the Mathematics Department at Rutgers University\, New Brunswick. Here is the YouTube channel for the talks in this seminar. \nDate: Sep 23\, 2026 \nSpeaker: Qihao Ye (Columbia) \nTitle/Materials: Toward Reliable AI-Assisted Mathematics \nTime: 10:00–11:00 AM \nLocation: Hill 705 \nContact: steven.creech@.rutgers.edu \nWebsite: https://ai-math-seminar.github.io/seminar/
URL:https://live-rutgers-data-science-and-ai-collaboratory.pantheonsite.io/event/dimacs-ai-and-mathematics-seminar-series-2/
CATEGORIES:Rutgers Events
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20260923T153000
DTEND;TZID=UTC:20260923T170000
DTSTAMP:20260918T172537
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:20260918T172537
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:20260918T172537
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:20260918T172537
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:20260918T172537
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:20260930T100000
DTEND;TZID=UTC:20260930T110000
DTSTAMP:20260918T172537
CREATED:20260918T160301Z
LAST-MODIFIED:20260918T164848Z
UID:3363-1790762400-1790766000@live-rutgers-data-science-and-ai-collaboratory.pantheonsite.io
SUMMARY:DIMACS AI and Mathematics Seminar Series
DESCRIPTION:Schedule subject to change; check https://ai-math-seminar.github.io/seminar/ for speakers\, abstracts\, and slides. \nThe seminar explores the fast-growing interface between mathematical reasoning\, formal methods\, and modern AI systems. It is co-organized by DIMACS and the Mathematics Department at Rutgers University\, New Brunswick. Here is the YouTube channel for the talks in this seminar. \nDate: Sep 30\, 2026 \nSpeaker: Peter Zenz (Brown) \nTitle/Materials: TBA \nTime: 10:00–11:00 AM \nLocation: Hill 705 \nContact: steven.creech@.rutgers.edu \nWebsite: https://ai-math-seminar.github.io/seminar/
URL:https://live-rutgers-data-science-and-ai-collaboratory.pantheonsite.io/event/dimacs-ai-and-mathematics-seminar-series-3/
CATEGORIES:Rutgers Events
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20260930T153000
DTEND;TZID=UTC:20260930T170000
DTSTAMP:20260918T172537
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:20260918T172537
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:20260918T172537
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:20260918T172537
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:20261007T100000
DTEND;TZID=UTC:20261007T110000
DTSTAMP:20260918T172537
CREATED:20260918T161547Z
LAST-MODIFIED:20260918T164844Z
UID:3370-1791367200-1791370800@live-rutgers-data-science-and-ai-collaboratory.pantheonsite.io
SUMMARY:DIMACS AI and Mathematics Seminar Series
DESCRIPTION:Schedule subject to change; check https://ai-math-seminar.github.io/seminar/ for speakers\, abstracts\, and slides. \nThe seminar explores the fast-growing interface between mathematical reasoning\, formal methods\, and modern AI systems. It is co-organized by DIMACS and the Mathematics Department at Rutgers University\, New Brunswick. Here is the YouTube channel for the talks in this seminar. \nDate: Oct 7\, 2026 \nSpeaker:Christopher Birkbeck (University of East Anglia) \nTitle/Materials: TBA \nTime: 10:00–11:00 AM \nLocation: Hill 705 \nContact: steven.creech@.rutgers.edu \nWebsite: https://ai-math-seminar.github.io/seminar/
URL:https://live-rutgers-data-science-and-ai-collaboratory.pantheonsite.io/event/dimacs-ai-and-mathematics-seminar-series-4/
CATEGORIES:Rutgers Events
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20261007T153000
DTEND;TZID=UTC:20261007T170000
DTSTAMP:20260918T172537
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:20260918T172537
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:20260918T172537
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:20260918T172537
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:20261014T100000
DTEND;TZID=UTC:20261014T110000
DTSTAMP:20260918T172537
CREATED:20260918T161639Z
LAST-MODIFIED:20260918T164840Z
UID:3371-1791972000-1791975600@live-rutgers-data-science-and-ai-collaboratory.pantheonsite.io
SUMMARY:DIMACS AI and Mathematics Seminar Series
DESCRIPTION:Schedule subject to change; check https://ai-math-seminar.github.io/seminar/ for speakers\, abstracts\, and slides. \nThe seminar explores the fast-growing interface between mathematical reasoning\, formal methods\, and modern AI systems. It is co-organized by DIMACS and the Mathematics Department at Rutgers University\, New Brunswick. Here is the YouTube channel for the talks in this seminar. \nDate: Oct 14\, 2026 \nSpeaker: Wesley Pegden (CMU) \nTitle/Materials: TBA \nTime: 10:00–11:00 AM \nLocation: Hill 705 \nContact: steven.creech@.rutgers.edu \nWebsite: https://ai-math-seminar.github.io/seminar/
URL:https://live-rutgers-data-science-and-ai-collaboratory.pantheonsite.io/event/dimacs-ai-and-mathematics-seminar-series-5/
CATEGORIES:Rutgers Events
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20261015T150000
DTEND;TZID=UTC:20261015T163000
DTSTAMP:20260918T172537
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:20260918T172537
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:20260918T172537
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:20260918T172537
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:20261021T100000
DTEND;TZID=UTC:20261021T110000
DTSTAMP:20260918T172537
CREATED:20260918T161735Z
LAST-MODIFIED:20260918T164835Z
UID:3372-1792576800-1792580400@live-rutgers-data-science-and-ai-collaboratory.pantheonsite.io
SUMMARY:DIMACS AI and Mathematics Seminar Series
DESCRIPTION:Schedule subject to change; check https://ai-math-seminar.github.io/seminar/ for speakers\, abstracts\, and slides. \nThe seminar explores the fast-growing interface between mathematical reasoning\, formal methods\, and modern AI systems. It is co-organized by DIMACS and the Mathematics Department at Rutgers University\, New Brunswick. Here is the YouTube channel for the talks in this seminar. \nDate: Oct 21\, 2026 \nSpeaker: TBD \nTitle/Materials: TBA \nTime: 10:00–11:00 AM \nLocation: Hill 705 \nContact: steven.creech@.rutgers.edu \nWebsite: https://ai-math-seminar.github.io/seminar/
URL:https://live-rutgers-data-science-and-ai-collaboratory.pantheonsite.io/event/dimacs-ai-and-mathematics-seminar-series-6/
CATEGORIES:Rutgers Events
END:VEVENT
END:VCALENDAR