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Events for February 16, 2027 – October 28, 2025 – Page 2 – Office of Advanced Research Computing Events for February 16, 2027 – October 28, 2025 – Page 2 – Office of Advanced Research Computing

Love Data Week! Finding, Creating and Working with GIS Data

"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 … Read More

Introduction to GIS with ArcGIS Pro

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 … Read More

R for reproducible scientific documents: knitr, rmarkdown, and beyond

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.

Introduction to GIS with QGIS

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 … Read More

Large language models: From theory to implementation

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.

Data Publication 2 (publishing to data repositories and creating R packages)

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 … Read More

Generative AI applications with AI agents

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.

Building intelligent recommendation systems

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 … Read More

R for reproducible scientific documents: knitr, rmarkdown, and beyond

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.

Data Analysis 2 (statistical tests, sampling, bootstrap, and more + comparison with Python)

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.