updated workshop info

Author: jessibreen

workshops.qmd

@@ -44,7 +44,7 @@ Digital data doesn’t always stay put. Websites change, tools disappear, and va
 ### **AI Tools for Research: AI-Assisted Strategies for Cleaning and Preparing Research Data**
 
 *October 2025*\
-This hands-on workshop introduces strategies for cleaning messy research data and shows how generative AI tools can support that process. You’ll learn how to identify common issues in tabular datasets including missing values, inconsistent formatting, and duplicates and how to plan a reproducible cleanup workflow. Then, we’ll explore how to use generative AI to help write R code for cleaning tasks, with an emphasis on producing reusable scripts and well-documented steps. Designed for graduate students working with real-world data, this session is useful for anyone preparing a dataset for analysis, visualization, or sharing. No prior experience with R is helpful, but not required.\
+This session is part of the AI in Research series hosted by the Digital Research and Innovation Lab, focused on helping graduate students use emerging tools to explore, organize, and communicate research more effectively. This hands-on workshop introduces strategies for cleaning messy research data and shows how generative AI tools can support that process. You’ll learn how to identify common issues in tabular datasets including missing values, inconsistent formatting, and duplicates and how to plan a reproducible cleanup workflow. Then, we’ll explore how to use generative AI to help write R code for cleaning tasks, with an emphasis on producing reusable scripts and well-documented steps. Designed for graduate students working with real-world data, this session is useful for anyone preparing a dataset for analysis, visualization, or sharing. No prior experience with R is helpful, but not required.\
 ➡️ [View workshop archive](https://github.com/GeospatialResearchLab/workshop-data-cleaning-GenAI-R-2025)
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