Speakers
- PresentationSeeing Like a Statistician Interactive Geovisualization from R
- PresentationLeveraging Multilanguage ALC Embeddings for Regression Analysis
- PresentationUsing Exponential Random Graph Models for Inferential Network Analysis
Details
Andre Alcantara
PhD Candidate, Department of Economics
Seeing Like a Statistician Interactive Geovisualization from R
In this talk, I will introduce through examples some options in the R ecosystem for visualizing different types of geospatial data, with a focus on interactive tools for exploration and presentation in empirical work.
Elisa Wirsching
Fellow, Center for the Study of Democratic Politics
Leveraging Multilanguage ALC Embeddings for Regression Analysis
Word embeddings are now a vital resource for social science research. Unfortunately, it can be difficult to obtain high quality embeddings for non-English languages, and it may be computationally expensive to do so. I present ALC embedding resources that are adaptable to scholars’ idiosyncratic settings and show how to integrate them in a regression-style framework.
Ben Rosche
Postdoctoral Research Associate, Office of Population Research
Using Exponential Random Graph Models for Inferential Network Analysis
This talk introduces exponential random graph models (using the statnet and ergm R packages) for modeling network formation. I show how these models can help uncover the micro-level mechanisms that shape macro-level network structures.
Please register. Lunch will be provided.