BEGIN:VCALENDAR VERSION:2.0 PRODID:-//Office of Advanced Research Computing - ECPv6.0.10//NONSGML v1.0//EN CALSCALE:GREGORIAN METHOD:PUBLISH X-WR-CALNAME:Office of Advanced Research Computing X-ORIGINAL-URL:https://oarc.rutgers.edu X-WR-CALDESC:Events for Office of Advanced Research Computing REFRESH-INTERVAL;VALUE=DURATION:PT1H X-Robots-Tag:noindex X-PUBLISHED-TTL:PT1H BEGIN:VTIMEZONE TZID:America/New_York BEGIN:DAYLIGHT TZOFFSETFROM:-0500 TZOFFSETTO:-0400 TZNAME:EDT DTSTART:20250309T070000 END:DAYLIGHT BEGIN:STANDARD TZOFFSETFROM:-0400 TZOFFSETTO:-0500 TZNAME:EST DTSTART:20251102T060000 END:STANDARD END:VTIMEZONE BEGIN:VEVENT DTSTART;TZID=America/New_York:20251103T120000 DTEND;TZID=America/New_York:20251103T130000 DTSTAMP:20260424T074802 CREATED:20220318T141649Z LAST-MODIFIED:20251007T190657Z UID:6866-1762171200-1762174800@oarc.rutgers.edu SUMMARY:Data science basics: visual insights with Power BI DESCRIPTION:Numbers alone rarely tell the whole story. In this workshop\, you’ll discover how to bring data to life through powerful visuals and interactive dashboards. With Power BI\, you’ll learn how to create charts and reports that make complex information clear\, professional\, and engaging. Whether you’re presenting at work\, showing results in class\, or simply trying to make sense of personal data\, this workshop will give you the ability to communicate with impact. \n \n Learn more and register URL:https://oarc.rutgers.edu/event/data-science-basics-visual-insights-with-power-bi/ END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/New_York:20251031T143000 DTEND;TZID=America/New_York:20251031T160000 DTSTAMP:20260424T074802 CREATED:20231219T173316Z LAST-MODIFIED:20251007T183849Z UID:9635-1761921000-1761926400@oarc.rutgers.edu SUMMARY:Python for data handling: pandas & NumPy DESCRIPTION:This session focuses on using NumPy and pandas to handle and manipulate structured datasets. Participants will learn how to load\, clean\, and summarize data efficiently to prepare it for deeper analysis. \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/datascience/python. \n \n Learn more and register URL:https://oarc.rutgers.edu/event/python-for-data-handling-pandas-numpy/ END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/New_York:20251029T153000 DTEND;TZID=America/New_York:20251029T170000 DTSTAMP:20260424T074802 CREATED:20250328T205459Z LAST-MODIFIED:20251007T191433Z UID:11562-1761751800-1761757200@oarc.rutgers.edu SUMMARY:Data Publication 2 (publishing to data repositories and creating R packages) DESCRIPTION: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. \nSupplemental materials are available. \n \n Learn more and register URL:https://oarc.rutgers.edu/event/data-publication-2-publishing-to-data-repositories-and-creating-r-packages-2/ END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/New_York:20251028T140000 DTEND;TZID=America/New_York:20251028T153000 DTSTAMP:20260424T074802 CREATED:20250110T202944Z LAST-MODIFIED:20250915T144930Z UID:11422-1761660000-1761665400@oarc.rutgers.edu SUMMARY:Data Visualization 2 (interactive visualizations with Shiny\, including hosting a Shiny server) DESCRIPTION:Creating interactive visualizations with Shiny in RStudio and delivering Shiny visualizations on the web and hosting a Shiny server. \nSupplemental materials are available. \n \n Learn more and register URL:https://oarc.rutgers.edu/event/data-visualization-2-interactive-visualizations-with-shiny-including-hosting-a-shiny-server/ END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/New_York:20251028T113000 DTEND;TZID=America/New_York:20251028T124500 DTSTAMP:20260424T074802 CREATED:20250915T144453Z LAST-MODIFIED:20250915T144458Z UID:9220-1761651000-1761655500@oarc.rutgers.edu SUMMARY:Introduction to QGIS DESCRIPTION:A Geographic Information System\, also known as a GIS\, can be a very useful tool for your research by incorporating location when exploring questions. \nIn this short\, interactive workshop\, we will focus on the open-source geographic information system: QGIS3. We will explore the interface\, add and visualize data\, create a map layout\, explore plugins and support. Previous knowledge of GIS is not expected. \nPlease make sure to download QGIS. \n \n Learn more and register URL:https://oarc.rutgers.edu/event/introduction-to-qgis/ END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/New_York:20251027T120000 DTEND;TZID=America/New_York:20251027T130000 DTSTAMP:20260424T074802 CREATED:20221007T191739Z LAST-MODIFIED:20251007T183029Z UID:7863-1761566400-1761570000@oarc.rutgers.edu SUMMARY:Data science basics: using AI tools effectively DESCRIPTION:Artificial Intelligence is already part of your daily life\, from smart assistants to content recommendations\, but how can you use it for your own benefit? This beginner-friendly workshop explores free\, web-based AI tools that help with writing\, design\, productivity\, and more. You’ll experiment with different tools in real time and discover how AI can save time\, spark ideas\, and make your work easier. No prior knowledge or installations are required\, just curiosity and an open mind. \n \n Learn more and register URL:https://oarc.rutgers.edu/event/data-science-basics-using-ai-tools-effectively/ END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/New_York:20251024T143000 DTEND;TZID=America/New_York:20251024T160000 DTSTAMP:20260424T074802 CREATED:20240118T205021Z LAST-MODIFIED:20251007T182450Z UID:9751-1761316200-1761321600@oarc.rutgers.edu SUMMARY:Python foundations DESCRIPTION:This workshop introduces the core concepts of Python programming\, including syntax\, data types\, loops\, and functions. Participants will gain confidence in writing simple scripts and working with Python’s basic structures. \n \n Learn more and register URL:https://oarc.rutgers.edu/event/python-foundations/ END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/New_York:20251022T153000 DTEND;TZID=America/New_York:20251022T170000 DTSTAMP:20260424T074802 CREATED:20220318T144508Z LAST-MODIFIED:20250915T162636Z UID:6881-1761147000-1761152400@oarc.rutgers.edu SUMMARY:Data Publication 1 DESCRIPTION:Creating reproducible research\, literate programming documents\, and using knitr\, Sweave\, 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\, while blogdown and bookdown 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. \nSupplemental materials are available. \n \n Learn more and register URL:https://oarc.rutgers.edu/event/data-publication1-10-22-2025/ CATEGORIES:Research END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/New_York:20251022T120000 DTEND;TZID=America/New_York:20251022T131500 DTSTAMP:20260424T074802 CREATED:20230911T134559Z LAST-MODIFIED:20250915T162431Z UID:9079-1761134400-1761138900@oarc.rutgers.edu SUMMARY:Introduction to ArcGIS Pro DESCRIPTION:A Geographic Information System\, also known as GIS\, can be a very useful tool for your research by incorporating location when exploring your questions. \nIn this short\, interactive workshop\, we will focus on ArcGIS Pro basics\, explore the interface\, add and visualize data\, create a map layout which we can either export as a PDF or share as a web map. Previous knowledge of geographic information systems (GIS) is not expected. \n* Make sure to register for an ArcGIS Online account before the start of the workshop. \n* Please also download the ArcGIS Pro application. This requires a Microsoft Windows operating system. Details and information for installing the application may be found at the University Software Portal. \nThe application is also available through the Rutgers Virtual Computer Labs. An ArcGIS Online account is needed to log into ArcPro. \n \n Learn more and register URL:https://oarc.rutgers.edu/event/introduction-to-gis-with-arcpro/ END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/New_York:20251021T140000 DTEND;TZID=America/New_York:20251021T153000 DTSTAMP:20260424T074802 CREATED:20240119T192030Z LAST-MODIFIED:20250915T162157Z UID:9863-1761055200-1761060600@oarc.rutgers.edu SUMMARY:R graphics with ggplot2 DESCRIPTION:The ggplot2 package from the tidyverse provides extensive and flexible graphical capabilities within a consistent framework.  This session introduces the main features of ggplot2. Some prior familiarity with R is assumed (packages\, structure\, syntax)\, but the presentation can be followed without this background. \nSupplemental materials are available. \n \n Learn more and register URL:https://oarc.rutgers.edu/event/r-graphics-with-ggplot2/ END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/New_York:20251020T120000 DTEND;TZID=America/New_York:20251020T130000 DTSTAMP:20260424T074802 CREATED:20240118T210656Z LAST-MODIFIED:20251007T182131Z UID:9758-1760961600-1760965200@oarc.rutgers.edu SUMMARY:Data science basics: introduction to Python 2 - from basics to data DESCRIPTION:Once you’ve taken your first steps with Python\, it’s time to do more. In this workshop\, we’ll go further into how Python can help you work with information. You’ll learn how to handle collections of data\, write simple reusable code\, and explore how to pull meaning out of datasets. By working hands-on with examples\, you’ll see how coding can become a useful everyday tool\, not just something for computer scientists. \n \n Learn more and register URL:https://oarc.rutgers.edu/event/data-science-basics-introduction-to-python-2/ END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/New_York:20251015T153000 DTEND;TZID=America/New_York:20251015T170000 DTSTAMP:20260424T074802 CREATED:20250328T200450Z LAST-MODIFIED:20250915T141640Z UID:11540-1760542200-1760547600@oarc.rutgers.edu SUMMARY:R Data Wrangling with dplyr\, tidyr\, readr\, and more DESCRIPTION:Some of the tidyverse’s most powerful features are its abilities to import\, filter\, and otherwise manipulate data. This session reviews major packages within the tidyverse that relate to the essential data handling steps required before (and during) data analysis. \nSupplemental materials are available. \n \n Learn more and register URL:https://oarc.rutgers.edu/event/r-data-wrangling-with-dplyr-tidyr-readr-and-more-2/ END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/New_York:20251015T113000 DTEND;TZID=America/New_York:20251015T124500 DTSTAMP:20260424T074802 CREATED:20231218T125112Z LAST-MODIFIED:20250915T140429Z UID:9610-1760527800-1760532300@oarc.rutgers.edu SUMMARY:ArcGIS StoryMaps\, WebApps and Dashboards DESCRIPTION:Most people can relate to and understand “where” when sharing information. In this short\, interactive workshop\, we will explore telling the story of your research using StoryMaps or another of the web applications that integrate work done in ArcGIS Online. Previous knowledge of geographic information systems (GIS) is not required. \nMake sure to register for an ArcGIS Online account before the start of the workshop. \n \n Learn more and register URL:https://oarc.rutgers.edu/event/arcgis-storymaps-webapps-dashboards/ END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/New_York:20251014T140000 DTEND;TZID=America/New_York:20251014T153000 DTSTAMP:20260424T074802 CREATED:20250110T185313Z LAST-MODIFIED:20250915T161747Z UID:11404-1760450400-1760455800@oarc.rutgers.edu SUMMARY:Data Analysis 2 (statistical tests\, regression\, sampling\, bootstrap\, and more + comparison with Python) DESCRIPTION:This workshop reviews statistical tests\, regression\, sampling and bootstrap methods\, and more. \nThe 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. \nSupplemental materials are available. \n \n Learn more and register URL:https://oarc.rutgers.edu/event/data-analysis-2-statistical-tests-sampling-bootstrap-and-more-comparison-with-python/ END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/New_York:20251013T120000 DTEND;TZID=America/New_York:20251013T130000 DTSTAMP:20260424T074802 CREATED:20240118T203105Z LAST-MODIFIED:20251007T181308Z UID:9743-1760356800-1760360400@oarc.rutgers.edu SUMMARY:Data science basics: introduction to Python (without the scary) DESCRIPTION:Coding doesn’t have to be intimidating. Python is one of the easiest programming languages to learn\, and it’s used everywhere\, from apps to automation to data analysis. In this workshop\, we’ll start with the basics\, step by step\, and show you how Python can be applied to everyday problems in a way that’s simple and practical. By the end\, you’ll not only run your first Python code but also understand how learning this language can open new opportunities in study\, work\, and beyond. \n \n Learn more and register URL:https://oarc.rutgers.edu/event/data-science-basics-introduction-to-python/ END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/New_York:20251007T140000 DTEND;TZID=America/New_York:20251007T153000 DTSTAMP:20260424T074802 CREATED:20250110T205615Z LAST-MODIFIED:20250915T140205Z UID:11427-1759845600-1759851000@oarc.rutgers.edu SUMMARY:R for data analysis: A tidyverse approach DESCRIPTION:This session introduces the R statistical software environment\, basic methods of data analysis\, and the “tidyverse.” While R is much more than the tidyverse\, the development of the tidyverse packages\, led by RStudio\, has provided a powerful and connected toolkit to get started using R. Note that graphics and data manipulation are covered in subsequent sessions. \nSupplemental materials are available. \n \n Learn more and register URL:https://oarc.rutgers.edu/event/r-for-data-analysis-a-tidyverse-approach-3/ END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/New_York:20251007T113000 DTEND;TZID=America/New_York:20251007T130000 DTSTAMP:20260424T074802 CREATED:20250110T211614Z LAST-MODIFIED:20250915T155845Z UID:11431-1759836600-1759842000@oarc.rutgers.edu SUMMARY:ArcGIS StoryMaps\, WebApps and Dashboards DESCRIPTION:Most people can relate to and understand “where” when sharing information. In this short\, interactive workshop\, we will explore telling the story of your research using StoryMaps or another of the web applications that integrate work done in ArcGIS Online. Previous knowledge of geographic information systems (GIS) is not required. \n*Make sure to register for an ArcGIS Online account before the start of the workshop. \n \n Learn more and register URL:https://oarc.rutgers.edu/event/arcgis-storymaps-webapps-and-dashboards/ END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/New_York:20251001T153000 DTEND;TZID=America/New_York:20251001T170000 DTSTAMP:20260424T074802 CREATED:20250113T220816Z LAST-MODIFIED:20250915T134620Z UID:11467-1759332600-1759338000@oarc.rutgers.edu SUMMARY:Data Visualization 2 (interactive visualizations with Shiny\, including hosting a Shiny server) DESCRIPTION:Creating interactive visualizations with Shiny in RStudio\, and delivering Shiny visualizations on the web and hosting a Shiny server. \nSupplemental materials are available. \n \n Learn more and register URL:https://oarc.rutgers.edu/event/data-visualization-2-interactive-visualizations-with-shiny-including-hosting-a-shiny-server-2/ END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/New_York:20250930T130000 DTEND;TZID=America/New_York:20250930T141500 DTSTAMP:20260424T074802 CREATED:20230908T203436Z LAST-MODIFIED:20250915T155929Z UID:9070-1759237200-1759241700@oarc.rutgers.edu SUMMARY:Introduction to GIS with ArcGIS Online DESCRIPTION:A Geographic Information System (GIS) can be a very useful tool for your research by incorporating location when exploring your questions. \nIn this short\, interactive workshop\, we will cover basic GIS concepts using ArcGIS Online. We’ll explore the interface\, add and visualize data\, run a quick analysis\, and create and share a map. \n*Make sure to register for an ArcGIS Online account before the start of the workshop \n \n Learn more and register URL:https://oarc.rutgers.edu/event/introduction-to-gis-with-arcgis-online-9-30-25/ END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/New_York:20250924T153000 DTEND;TZID=America/New_York:20250924T170000 DTSTAMP:20260424T074803 CREATED:20250113T214157Z LAST-MODIFIED:20250915T133145Z UID:11457-1758727800-1758733200@oarc.rutgers.edu SUMMARY:R graphics with ggplot2 DESCRIPTION:The ggplot2 package from the tidyverse provides extensive and flexible graphical capabilities within a consistent framework.  This session introduces the main features of ggplot2. Some prior familiarity with R is assumed (packages\, structure\, syntax)\, but the presentation can be followed without this background. \nSupplemental materials are available. \n \n Learn more and register URL:https://oarc.rutgers.edu/event/r-graphics-with-ggplot2-2/ END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/New_York:20250924T113000 DTEND;TZID=America/New_York:20250924T124500 DTSTAMP:20260424T074803 CREATED:20230911T130914Z LAST-MODIFIED:20250915T155353Z UID:9076-1758713400-1758717900@oarc.rutgers.edu SUMMARY:Introduction to GIS with ArcGIS Online DESCRIPTION:A Geographic Information System (GIS) can be a very useful tool for your research by incorporating location when exploring your questions. In this short\, interactive workshop\, we will cover basic GIS concepts using ArcGIS Online. We’ll explore the interface\, add and visualize data\, run a quick analysis\, and create and share a map. \nMake sure to register for an ArcGIS Online account before the start of the workshop \n \n Learn more and register URL:https://oarc.rutgers.edu/event/introduction-to-gis-with-arcgis-online-9-24-25/ END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/New_York:20250917T153000 DTEND;TZID=America/New_York:20250917T170000 DTSTAMP:20260424T074803 CREATED:20250113T173740Z LAST-MODIFIED:20250915T154728Z UID:11439-1758123000-1758128400@oarc.rutgers.edu SUMMARY:Data Analysis 2 (statistical tests\, sampling\, bootstrap\, and more + comparison with Python) 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. \nSupplemental materials are available. \n \n Learn more and register URL:https://oarc.rutgers.edu/event/data-analysis-2-statistical-tests-sampling-bootstrap-and-more-comparison-with-python-2/ END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/New_York:20250424T150000 DTEND;TZID=America/New_York:20250424T163000 DTSTAMP:20260424T074803 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/ END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/New_York:20250414T140000 DTEND;TZID=America/New_York:20250414T153000 DTSTAMP:20260424T074803 CREATED:20250328T183238Z LAST-MODIFIED:20250328T200332Z 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/ END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/New_York:20250407T140000 DTEND;TZID=America/New_York:20250407T153000 DTSTAMP:20260424T074803 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/ END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/New_York:20250402T140000 DTEND;TZID=America/New_York:20250402T153000 DTSTAMP:20260424T074803 CREATED:20250113T220152Z LAST-MODIFIED:20250113T220429Z UID:11464-1743602400-1743607800@oarc.rutgers.edu 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/ END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/New_York:20250331T140000 DTEND;TZID=America/New_York:20250331T153000 DTSTAMP:20260424T074803 CREATED:20250328T172458Z LAST-MODIFIED:20250328T202732Z UID:11518-1743429600-1743435000@oarc.rutgers.edu SUMMARY:Large language models: From theory to implementation DESCRIPTION:This workshop introduces the basics of Large Language Models (LLMs)\, covering their foundations\, capabilities\, and practical applications. Learn how to implement LLMs\, explore best practices\, and responsibly integrate them into real-world projects. \nSupplemental materials are available. \n \n Learn more and register URL:https://oarc.rutgers.edu/event/large-language-models-from-theory-to-implementation/ END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/New_York:20250326T120000 DTEND;TZID=America/New_York:20250326T131500 DTSTAMP:20260424T074803 CREATED:20250113T215208Z LAST-MODIFIED:20250113T215443Z UID:11461-1742990400-1742994900@oarc.rutgers.edu SUMMARY:Introduction to GIS with QGIS DESCRIPTION:A Geographic Information System (GIS) can be a very useful tool for your research by incorporating location when exploring questions. \nIn this short\, interactive workshop\, we will focus on the open source geographic information system: QGIS3. We will explore the interface\, add and visualize data\, create a map layout\, explore plugins and support. Previous knowledge of GIS is not expected. \nPlease make sure to download QGIS here: \n \n Learn more and register URL:https://oarc.rutgers.edu/event/introduction-to-gis-with-qgis-2/ END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/New_York:20250312T140000 DTEND;TZID=America/New_York:20250312T153000 DTSTAMP:20260424T074803 CREATED:20250113T212216Z LAST-MODIFIED:20250113T212548Z UID:11447-1741788000-1741793400@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. \n \n Learn more and register URL:https://oarc.rutgers.edu/event/r-for-reproducible-scientific-documents-knitr-rmarkdown-and-beyond-2/ END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/New_York:20250311T120000 DTEND;TZID=America/New_York:20250311T131500 DTSTAMP:20260424T074803 CREATED:20250113T204906Z LAST-MODIFIED:20250113T205959Z UID:11443-1741694400-1741698900@oarc.rutgers.edu SUMMARY:Introduction to GIS with ArcGIS Pro DESCRIPTION:A Geographic Information System (GIS) can be a very useful tool for your research by incorporating location when exploring questions. \nIn this short\, interactive workshop\, we will focus on ArcGIS Pro basics\, explore the interface\, add and visualize data\, create a map layout which we can either export as a PDF or share as a web map. Previous knowledge of geographic information systems (GIS) is not expected. \nMake sure to register for an ArcGIS Online account before the start of the workshop. \nPlease also download the ArcGIS Pro application. This requires a Microsoft Windows operating system. Details and information for installing the application may be found at the Rutgers Software Portal. The application is also available through the Rutgers Virtual Computer Labs. An ArcGIS Online account is needed to log into ArcPro. \n \n Learn more and register URL:https://oarc.rutgers.edu/event/introduction-to-gis-with-arcgis-pro-2/ END:VEVENT END:VCALENDAR