Love Data Week! Finding, Creating and Working with GIS Data
2025-02-10 12:00 - 13:00 (America/New_York)
“Everything happens somewhere…”
In this short, interactive workshop, learn how spatial data might enhance your research.
We’ll explore free and proprietary GIS (geographic information systems) data resources, search strategies to uncover available data; adapting public data for use, review critical data literacy and the importance of attribution, and discuss the process of building your own spatial datasets.

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Amarel monthly maintenance
2025-02-18 08:00 - 2025-02-19 23:59, 2025-03-11 08:00 - 2025-03-12 23:59, 2025-04-15 08:00 - 2025-04-16 23:59, 2025-05-20 08:00 - 2025-05-21 23:59, 2025-06-17 08:00 - 2025-06-18 23:59, 2025-07-15 08:00 - 2025-07-16 23:59, 2025-08-19 08:00 - 2025-08-20 23:59, 2025-09-16 08:00 - 2025-09-17 23:59 and 1 more date
Maintenance is usually scheduled for weekdays because it often involves coordination with university facilities teams or external vendors. There may also be times when Amarel must be unavailable due to externally-scheduled data center facilities, power, or telecommunications maintenance. When this happens, we will do our best to avoid adding to a month’s downtime with our own maintenance work (e.g., by working in parallel or postponing some tasks).

Visit Amarel system status for more information

Introduction to GIS with ArcGIS Pro
2025-03-11 12:00 - 13:15
A Geographic Information System (GIS) can be a very useful tool for your research by incorporating location when exploring questions.
In 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.
Make sure to register for an ArcGIS Online account before the start of the workshop.
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 Rutgers Software Portal. The application is also available through the Rutgers Virtual Computer Labs. An ArcGIS Online account is needed to log into ArcPro.

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R for reproducible scientific documents: knitr, rmarkdown, and beyond
2025-03-12 14:00 - 15:30
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.

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Introduction to GIS with QGIS
2025-03-26 12:00 - 13:15
A Geographic Information System (GIS) can be a very useful tool for your research by incorporating location when exploring questions.
In 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.
Please make sure to download QGIS here:

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Large language models: From theory to implementation
2025-03-31 14:00 - 15:30
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.
Supplemental materials are available.

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Data Publication 2 (publishing to data repositories and creating R packages)
2025-04-02 14:00 - 15:30
Sharing your data and code is the essential step in maximizing the impact and usefulness of your research.
Part 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.
R 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.

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Generative AI applications with AI agents
2025-04-07 14:00 - 15:30
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.
Supplemental materials are available.

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Building intelligent recommendation systems
2025-04-14 14:00 - 15:30
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.
Supplemental materials are available.

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R for reproducible scientific documents: knitr, rmarkdown, and beyond
2025-04-24 15:00 - 16:30
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.
Supplemental materials are available.

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Data Analysis 2 (statistical tests, sampling, bootstrap, and more + comparison with Python)
2025-09-17 15:30 - 17:00
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.
Part of the Data Topics series of workshops.
Workshop conducted via Zoom.
Supplemental materials are available.

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Introduction to GIS with ArcGIS Online
2025-09-24 11:30 - 12:45
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.
Make sure to register for an ArcGIS Online account before the start of the workshop

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R graphics with ggplot2
2025-09-24 15:30 - 17:00
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.
Supplemental materials are available.

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Introduction to GIS with ArcGIS Online
2025-09-30 13:00 - 14:15
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.
*Make sure to register for an ArcGIS Online account before the start of the workshop

Learn more and register

Data Visualization 2 (interactive visualizations with Shiny, including hosting a Shiny server)
2025-10-01 15:30 - 17:00
Creating interactive visualizations with Shiny in RStudio, and delivering Shiny visualizations on the web and hosting a Shiny server.
Supplemental materials are available.

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ArcGIS StoryMaps, WebApps and Dashboards
2025-10-07 11:30 - 13:00
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.
*Make sure to register for an ArcGIS Online account before the start of the workshop.

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R for data analysis: A tidyverse approach
2025-10-07 14:00 - 15:30
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.
Supplemental materials are available.

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Data science basics: introduction to Python (without the scary)
2025-10-13 12:00 - 13:00
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.

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Data Analysis 2 (statistical tests, regression, sampling, bootstrap, and more + comparison with Python)
2025-10-14 14:00 - 15:30

ArcGIS StoryMaps, WebApps and Dashboards
2025-10-15 11:30 - 12:45
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.
Make sure to register for an ArcGIS Online account before the start of the workshop.

Learn more and register

R Data Wrangling with dplyr, tidyr, readr, and more
2025-10-15 15:30 - 17:00
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.
Supplemental materials are available.

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Data science basics: introduction to Python 2 - from basics to data
2025-10-20 12:00 - 13:00
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.

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