Data Integration and Visualization │ Data Science

Combining and dynamically presenting data

Social science research targets interdisciplinary problems. Integrating data from a broad array of sources can illuminate important relationships across these issues. Our record linkage approach leverages emerging computational techniques for data integration and is especially useful when primary identifiers are not available or are shared across data sources.

When researchers can examine data in custom visual formats, it is often easier to spot patterns that might otherwise be lost. AIR focuses on data visualization as part of our suite of data analytic offerings, allowing our researchers to interact with data through customized charts, graphs, and maps. Our visualization capabilities range from off-the-shelf and open-source tools for visualizing complex phenomena to custom graphic design and data visualization dashboards.

Christina Jones
Principal Data Scientist