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X-WR-CALNAME:Office of Advanced Research Computing
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X-WR-CALDESC:Events for Office of Advanced Research Computing
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DTSTART;TZID=America/New_York:20250402T140000
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SUMMARY:Data Publication 2 (publishing to data repositories and creating R packages)
DESCRIPTION:Sharing your data and code is the essential step in maximizing the impact and usefulness of your research. \nPart of the Data Topics series of workshops\, this 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. \n			\n				Learn more and register
URL:https://oarc.rutgers.edu/event/data-publication-2-publishing-to-data-repositories-and-creating-r-packages/
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DTSTART;TZID=America/New_York:20250407T140000
DTEND;TZID=America/New_York:20250407T153000
DTSTAMP:20260410T001442
CREATED:20250328T182208Z
LAST-MODIFIED:20250328T203106Z
UID:11526-1744034400-1744039800@oarc.rutgers.edu
SUMMARY:Generative AI applications with AI agents
DESCRIPTION:This workshop explores the integration of generative AI with autonomous agents to create innovative applications that can solve problems\, automate tasks\, and enhance creativity. Participants will learn how generative AI agents combine language models\, tools\, and APIs to perform complex tasks independently. \nSupplemental materials are available. \n			\n				Learn more and register
URL:https://oarc.rutgers.edu/event/generative-ai-applications-with-ai-agents/
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DTSTART;TZID=America/New_York:20250414T140000
DTEND;TZID=America/New_York:20250414T153000
DTSTAMP:20260410T001442
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UID:11532-1744639200-1744644600@oarc.rutgers.edu
SUMMARY:Building intelligent recommendation systems
DESCRIPTION:Dive into the fascinating world of recommender systems\, the backbone of personalized experiences in today’s digital age. In this workshop\, you’ll uncover how platforms like Netflix\, Amazon\, and Spotify predict what users want. Participants will gain insights into popular algorithms\, including collaborative and content-based filtering\, and apply these techniques to create intelligent recommendation solutions. \nSupplemental materials are available. \n			\n				Learn more and register
URL:https://oarc.rutgers.edu/event/building-intelligent-recommendation-systems/
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DTSTART;TZID=America/New_York:20250424T150000
DTEND;TZID=America/New_York:20250424T163000
DTSTAMP:20260410T001442
CREATED:20250328T204307Z
LAST-MODIFIED:20250328T204820Z
UID:11554-1745506800-1745512200@oarc.rutgers.edu
SUMMARY:R for reproducible scientific documents: knitr\, rmarkdown\, and beyond
DESCRIPTION:The 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. This session introduces these concepts and other packages and practices supporting reproducibility with the R environment. \nSupplemental materials are available. \n			\n				Learn more and register
URL:https://oarc.rutgers.edu/event/r-for-reproducible-scientific-documents-knitr-rmarkdown-and-beyond/
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