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X-WR-CALNAME:The Rutgers Artificial Intelligence and Data Science (RAD) Collaboratory
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X-WR-CALDESC:Events for The Rutgers Artificial Intelligence and Data Science (RAD) Collaboratory
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DTSTART;TZID=UTC:20261027T160000
DTEND;TZID=UTC:20261027T180000
DTSTAMP:20260915T200709Z
CREATED:20260915T200709Z
LAST-MODIFIED:20260915T200709Z
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:20261028T100000
DTEND;TZID=UTC:20261028T110000
DTSTAMP:20260918T204828Z
CREATED:20260918T202223Z
LAST-MODIFIED:20260918T204828Z
UID:3376-1793181600-1793185200@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 28\, 2026 \nSpeaker: Michael Douglas (Harvard) \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-7/
CATEGORIES:Rutgers Events
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20261028T153000
DTEND;TZID=UTC:20261028T170000
DTSTAMP:20260915T200953Z
CREATED:20260915T200953Z
LAST-MODIFIED:20260915T200953Z
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:20260915T201206Z
CREATED:20260915T201206Z
LAST-MODIFIED:20260915T201206Z
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=America/New_York:20261103T083000
DTEND;TZID=America/New_York:20261103T150000
DTSTAMP:20261023T205033Z
CREATED:20261023T205033Z
LAST-MODIFIED:20261023T205033Z
UID:3484-1793694600-1793718000@live-rutgers-data-science-and-ai-collaboratory.pantheonsite.io
SUMMARY:AI in Higher Ed: Ethics & Law
DESCRIPTION:Registration is required. Link to register: https://libcal.rutgers.edu/event/17786601 \nDear Members of the Rutgers Community\, \nWe are excited to announce the next installment in our University Librarian’s Symposium Series on Artificial Intelligence in Higher Education. Rutgers faculty\, staff\, and students are invited to join us for AI in Higher Education: Ethical and Legal Considerations. Through presentations and dialogue\, this symposium aims to advance a shared understanding of how universities can harness the benefits of AI while upholding the ethical principles and legal obligations that are foundational to higher education. \nThe hybrid program will be held on Tuesday\, November 3\, from 8:30 a.m. to 3 p.m. in Alexander Library’s Teleconference Lecture Hall. There also will be an option to participate remotely. Because space for in-person attendance is limited\, we ask that you consider remote participation if you are unable to stay for the entire event. \nLaunched last year\, the University Librarian’s Symposium Series engages experts from across the university to explore timely and relevant topics. Last year’s events on AI in teaching and learning and on AI in research received overwhelming responses\, and in-person registrations quickly reached capacity. \nPlease visit the event page on our website to view the agenda and register. We hope you will be able to join us on November 3\, either in person or online\, to participate in this important and timely discussion.
URL:https://live-rutgers-data-science-and-ai-collaboratory.pantheonsite.io/event/ai-in-higher-ed-ethics-law/
CATEGORIES:Rutgers Events
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20261103T140000
DTEND;TZID=UTC:20261103T153000
DTSTAMP:20260915T201519Z
CREATED:20260915T201519Z
LAST-MODIFIED:20260915T201519Z
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:20260915T201818Z
CREATED:20260915T201818Z
LAST-MODIFIED:20260915T201818Z
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:20261104T100000
DTEND;TZID=UTC:20261104T110000
DTSTAMP:20260918T204825Z
CREATED:20260918T202644Z
LAST-MODIFIED:20260918T204825Z
UID:3377-1793786400-1793790000@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: Nov 4\, 2026 \nSpeaker: TBA \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-8/
CATEGORIES:Rutgers Events
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20261105T110000
DTEND;TZID=UTC:20261105T120000
DTSTAMP:20260915T202013Z
CREATED:20260915T202013Z
LAST-MODIFIED:20260915T202013Z
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:20260915T202336Z
CREATED:20260915T202336Z
LAST-MODIFIED:20260915T202336Z
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:20260915T202504Z
CREATED:20260915T202504Z
LAST-MODIFIED:20260915T202504Z
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:20260915T202803Z
CREATED:20260915T202803Z
LAST-MODIFIED:20260915T202803Z
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:20261111T100000
DTEND;TZID=UTC:20261111T110000
DTSTAMP:20260918T204821Z
CREATED:20260918T202831Z
LAST-MODIFIED:20260918T204821Z
UID:3378-1794391200-1794394800@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: Nov 11\, 2026 \nSpeaker: TBA \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-9/
CATEGORIES:Rutgers Events
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20261113T150000
DTEND;TZID=UTC:20261113T160000
DTSTAMP:20260915T202934Z
CREATED:20260915T202934Z
LAST-MODIFIED:20260915T202934Z
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:20260915T203124Z
CREATED:20260915T203124Z
LAST-MODIFIED:20260915T203124Z
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:20260915T203339Z
CREATED:20260915T203301Z
LAST-MODIFIED:20260915T203339Z
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:20261118T100000
DTEND;TZID=UTC:20261118T110000
DTSTAMP:20260918T204818Z
CREATED:20260918T202938Z
LAST-MODIFIED:20260918T204818Z
UID:3379-1794996000-1794999600@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: Nov 18\, 2026 \nSpeaker: TBA \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-10/
CATEGORIES:Rutgers Events
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20261118T130000
DTEND;TZID=UTC:20261118T150000
DTSTAMP:20260915T203733Z
CREATED:20260915T203733Z
LAST-MODIFIED:20260915T203733Z
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:20260915T215901Z
CREATED:20260915T215741Z
LAST-MODIFIED:20260915T215901Z
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:20261120T083000
DTEND;TZID=UTC:20261120T143000
DTSTAMP:20261113T172311Z
CREATED:20260817T232936Z
LAST-MODIFIED:20261113T172311Z
UID:3239-1795163400-1795185000@live-rutgers-data-science-and-ai-collaboratory.pantheonsite.io
SUMMARY:2026 NJBDA Research Collaboration Forum
DESCRIPTION:The forum is co-sponsored by the RAD Collaboratory \nRegister here: https://go.rutgers.edu/njbda_research_forum \nArtificial Intelligence – Policy\, Law and Innovation \nExploring the path ahead for strategic research in the context of emerging AI regulations \nThe NJBDA Research Collaboration Forum 2026 brings together researchers\, faculty\, practitioners\, and institutional partners to explore the rapidly evolving intersection of artificial intelligence\, public policy\, regulation\, employment\, strategy\, and technological innovation. \nAs artificial intelligence becomes increasingly embedded in research\, business\, government\, and society\, emerging policies and regulatory frameworks are creating both new challenges and new opportunities. This forum will provide a collaborative environment for discussing how researchers and institutions can navigate these changes while identifying opportunities for interdisciplinary research\, innovation\, and strategic engagement. \nEvent Information \n\nDate: Friday\, November 20\, 2026\nTime: 8:30 am – 2:30 pm\nLocation: Room 120\, Proteomics Building\nCampus: Rutgers University – Busch Campus\nAddress: 174 Frelinghuysen Road\, Piscataway\, NJ 08854\n\nTheme \nArtificial Intelligence – Policy\, Law and Innovation \nThe 2026 Research Collaboration Forum focuses on the evolving policy and regulatory landscape surrounding artificial intelligence and its implications for research\, organizations\, employment\, innovation\, and strategic decision-making. \nThe forum will explore how emerging AI regulations may influence the direction of research and innovation while creating opportunities for collaboration across disciplines and institutions. \nFocus Areas \n\n   AI Policy – Emerging policy frameworks shaping the development and use of artificial intelligence\n   AI Regulations – Legal and regulatory considerations surrounding AI systems and applications\n   Employment – The evolving impact of artificial intelligence on jobs\, organizations\, and the future of work\n   Strategy – Institutional and research strategies for navigating an increasingly AI-driven environment\n   Innovation – Emerging technologies\, applications\, and interdisciplinary research opportunities\n\nResearch Collaboration \nA central objective of the forum is to create opportunities for researchers to connect across disciplines\, identify complementary expertise\, and develop new research collaborations around artificial intelligence\, policy\, regulation\, data science\, and innovation. \nLightning talks and research roundtables will provide participants with opportunities to introduce their work\, discover related research activities\, and explore potential areas for future collaboration. \nGet Involved: Publish your research with JBDAI Journal: https://jbdai.org/ \nAgenda\n8:30 am             Registration & Refreshments \n9:30 am             Opening Remarks \n9:35 am             Welcome Address \n9:45 am             Morning Keynote Address \n10:15 am          Motivational Keynote / Research Opportunities \n10:30 am          Presentation – Journal of Big Data and Artificial Intelligence (JBDAI) \n10:45 am          Coffee Break with Refreshments \n11:00 am          5-minute Lightning Talks on Research Engagement \n12:30 pm          Research Collaboration Lunch \nRoundtable discussions by broad areas of research \n1:55 pm             Afternoon Keynote Address \n2:25 pm             Closing Remarks and Vote of Thanks \n2:30 pm             Adjourn and Informal Networking + Coffee \nJoin the NJBDA Research Collaboration Forum \nResearchers\, faculty\, students\, practitioners\, and collaborators interested in AI policy\, regulation\, data science\, and innovation are encouraged to participate. \nHosts \nProfessor Stephen K. Burley\nPresident @ NJBDA; Director\, Rutgers Artificial Intelligence and Data Science (RAD) Collaboratory \nProfessor Jim Samuel\nVice-President Research @ NJBDA; Director\, Master of Public Informatics\, Bloustein School\, Rutgers University \n  \nYou must register your vehicle for parking (non Rutgers employees only) \nLink to register: https://parkingbase.com/c/rutgers/d/3676664?eventId=c7614ffe-e920-4338-93c2-b07ee0de2d6e \nLocation:\nProteomics building\, Room 120\n174 Frelinghuysen Road\nPiscataway\, NJ 08854 (Busch Campus) \nParking is available in Lot 58 and Lots A\, B\, and C. Please be sure to adhere to all parking permit restrictions. The Alison Road Classroom (ARC) Rutgers bus stop is also just a short walk from the venue. \nFor your convenience\, please refer to the Rutgers University Map for directions and campus navigation. \nVisitors may park in lots A\, B & C. \nUsing the link\, attendees will click “Visitor” then enter their email and vehicle information to complete registration. Once completed they will receive an email and or text confirmation. \nRutgers affiliated Faculty\, Staff and Students must have a Rutgers parking permit (Semester\, Daily\, or Event) and park accordingly. Faculty\, Staff\, and Students parking without a parking permit or outside their parking permit assignment will be subjected to ticketing and/or towing.
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:20260915T203935Z
CREATED:20260915T203935Z
LAST-MODIFIED:20260915T203935Z
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:20260915T204917Z
CREATED:20260915T204917Z
LAST-MODIFIED:20260915T204917Z
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:20261202T100000
DTEND;TZID=UTC:20261202T110000
DTSTAMP:20260918T204812Z
CREATED:20260918T203033Z
LAST-MODIFIED:20260918T204812Z
UID:3380-1796205600-1796209200@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: Dec 2\, 2026 \nSpeaker: TBA \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-11/
CATEGORIES:Rutgers Events
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20261209T100000
DTEND;TZID=UTC:20261209T110000
DTSTAMP:20260918T204803Z
CREATED:20260918T203052Z
LAST-MODIFIED:20260918T204803Z
UID:3381-1796810400-1796814000@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: Dec 9\, 2026 \nSpeaker: TBA \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-12/
CATEGORIES:Rutgers Events
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20261211T150000
DTEND;TZID=UTC:20261211T160000
DTSTAMP:20260915T205630Z
CREATED:20260915T205630Z
LAST-MODIFIED:20260915T205630Z
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:20260915T210013Z
CREATED:20260915T210013Z
LAST-MODIFIED:20260915T210013Z
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:20260915T210345Z
CREATED:20260915T210345Z
LAST-MODIFIED:20260915T210345Z
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:20260915T213247Z
CREATED:20260915T213247Z
LAST-MODIFIED:20260915T213247Z
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:20260915T214525Z
CREATED:20260915T214525Z
LAST-MODIFIED:20260915T214525Z
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:20260915T220032Z
CREATED:20260915T214717Z
LAST-MODIFIED:20260915T220032Z
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
END:VCALENDAR