This workshop will examine how social scientists can use Large Language Models (LLM) to develop variables that can be used in statistical analyses by social scientists. As social scientists have gained access to an increasing amount of textual data, automated text analysis (ATA) has become one of their standard toolsets. LLM is another ATA tool, yet social scientists are just beginning to use it. This interactive and applied workshop explores how social scientists can use LLM to develop measures that can be used as variables in quantitative analyses. The workshop does not require any prerequisite knowledge and is open to all social scientists.

This workshop will introduce Python and foundational machine learning concepts, utilizing a dataset comprising textual content. Participants will learn the basics of coding in Python, set up a data science environment, and explore key machine learning concepts applied to text data. No prior experience with Python or machine learning is required. This is a virtual workshop and will be held over Zoom.

Join the Center for Social Science Innovation and the Office of Civil Rights Compliance for a quick introduction to survey accessibility, with a focus on the importance of accessibility in survey research and best practices during survey recruitment, development, and deployment. The workshop will introduce participants to general principles of digital accessibility and use Qualtrics to demonstrate best practices for developing accessible recruitment materials and surveys. The strategies learned from this workshop will be applicable to a range of survey design needs, including for research purposes and for distributing general feedback surveys.

This virtual workshop will introduce packages related to geospatial analysis to design a bivariate map in the R coding environment. By the end of this workshop, participants will be able to use geospatial packages in an R workflow to create a publication-quality bivariate map. A bivariate map helps to understand the spatial relationships, correlations, and patterns between two different spatial variables. This is an introductory workshop appropriate for those with only a basic familiarity with R and geospatial analysis. Example code will be provided. This is a virtual workshop and will be held over Zoom.