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X-WR-CALNAME:The Rutgers Artificial Intelligence and Data Science (RAD) Collaboratory
X-ORIGINAL-URL:https://radcollaboratory.rutgers.edu
X-WR-CALDESC:Events for The Rutgers Artificial Intelligence and Data Science (RAD) Collaboratory
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DTSTART;TZID=America/New_York:20261023T090000
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UID:3477-1792746000-1792769400@radcollaboratory.rutgers.edu
SUMMARY:Rutgers Robotics Workshop
DESCRIPTION:We are pleased to invite you to the 6th Annual Rutgers Robotics Workshop. \nEvent Details \nDate: Friday\, October 23\, 2026\nTime: 9:00 AM – 3:30 PM\nLocation: Civic Square Building\, 33 Livingston Avenue\, New Brunswick\, NJ\nRegistration: https://forms.gle/YA4JBMj9zvN9xe9a7 \nThe annual Rutgers Robotics Workshop series was initiated as part of the SOCRATES NSF Research Traineeship (NRT) Program and is now co-organized with the Rutgers AI and Data Science (RAD) Collaboratory and Rutgers DIMACS. \nThe goal of the 2026 Rutgers Robotics Workshop is to bring together faculty\, researchers\, and students working in robotics from across the university to identify synergies\, brainstorm new collaborations\, and build teams for upcoming proposal submissions. We will also discuss ways to strengthen the Robotics@Rutgers identity and increase the visibility and coordination of robotics research across Rutgers. \nThe workshop will include a dedicated session to discuss upcoming proposal and funding opportunities. \nFaculty working in robotics are encouraged to sign up to give a 10-minute research talk. These talks should provide a brief overview of your research area\, with particular emphasis on opportunities for collaboration with other Rutgers researchers. Faculty members should indicate on the registration form if they would like to give a talk. \nGraduate students: Please indicate on the registration form if you plan to present a poster. \nRegister here: https://forms.gle/YA4JBMj9zvN9xe9a7 \nThe afternoon will feature student posters and robot demonstrations\, followed by a brief closing discussion. \nWorkshop Agenda \n9:00–9:10 AM — Welcome and Robotics@Rutgers Introduction \n9:10–10:20 AM — Faculty Research Talks \n10:20–10:35 AM — Coffee Break and Networking \n10:35–11:15 AM — Faculty Research Talks (continued) \n11:15–11:45 AM — Robotics@Rutgers Discussion \n11:45 AM–12:30 PM — Lunch and Networking \n12:30–12:45 PM — Roadmap of Funding Opportunities \n12:45–1:45 PM — Collaboration and Team Building \n1:45–2:15 PM — Plenary Summary of Discussions \n2:15–3:15 PM — Student Poster Session \n3:15–3:30 PM — Closing Discussion \nParticipation is free\, but registration is required so that we can plan appropriately for lunch and afternoon activities. \nFor more information about the SOCRATES NRT and Rutgers robotics activities\, please visit robotics.rutgers.edu.
URL:https://radcollaboratory.rutgers.edu/event/rutgers-robotics-workshop/
LOCATION:Civic Square Building\, 33 Livingston Avenue\, New Brunswick\, NJ\, 08901\, United States
CATEGORIES:Rutgers Events
ORGANIZER;CN="Rutgers Robotics":MAILTO:kristin.dana@rutgers.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20261023T113000
DTEND;TZID=UTC:20261023T123000
DTSTAMP:20260915T195241Z
CREATED:20260915T195241Z
LAST-MODIFIED:20260915T195241Z
UID:3298-1792755000-1792758600@radcollaboratory.rutgers.edu
SUMMARY:Policy Map: Accessing and Mapping Data Indicators
DESCRIPTION:Join us for an introduction to the online data and mapping application\, PolicyMap\, which provides access to indicators related to U.S. housing\, crime\, mortgages\, health\, jobs\, demographics\, and education. \nRegistration link: https://go.rutgers.edu/PolicyMap \nDate:Friday\, October 23\, 2026 \nTime:11:30am – 12:30pm \nTime Zone:Eastern Time – US & Canada (change) \nDivision:Camden \nEvent Type:   Workshop   Topics:   Data       Library Resources  \nOnline:This is an online event.  Register here: https://rutgers.zoom.us/meeting/register/ZytPQ3V1SVu8v29FD-qWkA#/registration \nEvent URL: https://go.rutgers.edu/PolicyMap
URL:https://radcollaboratory.rutgers.edu/event/policy-map-accessing-and-mapping-data-indicators/
LOCATION:NJ
CATEGORIES:Rutgers Events
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20261027T140000
DTEND;TZID=UTC:20261027T153000
DTSTAMP:20260915T195804Z
CREATED:20260915T195804Z
LAST-MODIFIED:20260915T195804Z
UID:3300-1793109600-1793115000@radcollaboratory.rutgers.edu
SUMMARY:Data Visualization 2
DESCRIPTION:This session covers creating interactive visualizations with Shiny in RStudio\, 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:Tuesday\, October 27\, 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/17302091
URL:https://radcollaboratory.rutgers.edu/event/data-visualization-2-3/
LOCATION:NJ
CATEGORIES:Rutgers Events
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20261027T160000
DTEND;TZID=UTC:20261027T180000
DTSTAMP:20260915T200709Z
CREATED:20260915T200709Z
LAST-MODIFIED:20260915T200709Z
UID:3302-1793116800-1793124000@radcollaboratory.rutgers.edu
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://radcollaboratory.rutgers.edu/event/applied-machine-learning-with-shap/
LOCATION:NJ
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@radcollaboratory.rutgers.edu
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://radcollaboratory.rutgers.edu/event/dimacs-ai-and-mathematics-seminar-series-7/
LOCATION:NJ
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@radcollaboratory.rutgers.edu
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://radcollaboratory.rutgers.edu/event/data-publication-2/
LOCATION:NJ
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@radcollaboratory.rutgers.edu
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://radcollaboratory.rutgers.edu/event/queries-in-nvivo/
LOCATION:NJ
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@radcollaboratory.rutgers.edu
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://radcollaboratory.rutgers.edu/event/data-sources-1-2/
LOCATION:NJ
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@radcollaboratory.rutgers.edu
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://radcollaboratory.rutgers.edu/event/spatial-analysis-and-spatial-joins/
LOCATION:NJ
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@radcollaboratory.rutgers.edu
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://radcollaboratory.rutgers.edu/event/dimacs-ai-and-mathematics-seminar-series-8/
LOCATION:NJ
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@radcollaboratory.rutgers.edu
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://radcollaboratory.rutgers.edu/event/fundamentals-of-sas-statistical-analysis-software/
LOCATION:NJ
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@radcollaboratory.rutgers.edu
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://radcollaboratory.rutgers.edu/event/queries-in-nvivo-2/
LOCATION:NJ
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@radcollaboratory.rutgers.edu
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://radcollaboratory.rutgers.edu/event/using-sas-and-wrds/
LOCATION:NJ
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@radcollaboratory.rutgers.edu
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://radcollaboratory.rutgers.edu/event/apis-data-quality-and-public-data/
LOCATION:NJ
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@radcollaboratory.rutgers.edu
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://radcollaboratory.rutgers.edu/event/dimacs-ai-and-mathematics-seminar-series-9/
LOCATION:NJ
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@radcollaboratory.rutgers.edu
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://radcollaboratory.rutgers.edu/event/fundamentals-of-tableau/
LOCATION:NJ
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@radcollaboratory.rutgers.edu
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://radcollaboratory.rutgers.edu/event/data-publication-1-3/
LOCATION:NJ
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@radcollaboratory.rutgers.edu
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://radcollaboratory.rutgers.edu/event/accessibility-and-network-analysis/
LOCATION:NJ
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@radcollaboratory.rutgers.edu
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://radcollaboratory.rutgers.edu/event/dimacs-ai-and-mathematics-seminar-series-10/
LOCATION:NJ
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@radcollaboratory.rutgers.edu
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://radcollaboratory.rutgers.edu/event/capstone-lab-and-portfolio-project-applied-data-science/
LOCATION:NJ
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@radcollaboratory.rutgers.edu
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://radcollaboratory.rutgers.edu/event/intro-to-amarel-hpc-cluster-2/
LOCATION:NJ
CATEGORIES:Rutgers Events
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20261120T083000
DTEND;TZID=UTC:20261120T143000
DTSTAMP:20261002T183514Z
CREATED:20260817T232936Z
LAST-MODIFIED:20261002T183514Z
UID:3239-1795163400-1795185000@radcollaboratory.rutgers.edu
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
URL:https://radcollaboratory.rutgers.edu/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@radcollaboratory.rutgers.edu
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://radcollaboratory.rutgers.edu/event/data-publication-2-2/
LOCATION:NJ
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@radcollaboratory.rutgers.edu
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://radcollaboratory.rutgers.edu/event/digital-equity-mapping-capstone/
LOCATION:NJ
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@radcollaboratory.rutgers.edu
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://radcollaboratory.rutgers.edu/event/dimacs-ai-and-mathematics-seminar-series-11/
LOCATION:NJ
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@radcollaboratory.rutgers.edu
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://radcollaboratory.rutgers.edu/event/dimacs-ai-and-mathematics-seminar-series-12/
LOCATION:NJ
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@radcollaboratory.rutgers.edu
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://radcollaboratory.rutgers.edu/event/fundamentals-of-tableau-2/
LOCATION:NJ
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@radcollaboratory.rutgers.edu
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://radcollaboratory.rutgers.edu/event/data-analysis-1-3/
LOCATION:NJ
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@radcollaboratory.rutgers.edu
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://radcollaboratory.rutgers.edu/event/data-analysis-2-4/
LOCATION:NJ
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@radcollaboratory.rutgers.edu
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://radcollaboratory.rutgers.edu/event/data-visualization-1-3/
LOCATION:NJ
CATEGORIES:Rutgers Events
END:VEVENT
END:VCALENDAR