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PRODID:-//The Rutgers Artificial Intelligence and Data Science (RAD) Collaboratory - ECPv6.18.0//NONSGML v1.0//EN
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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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DTSTART:20250101T000000
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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
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