Meet the Esri Social Science Collaborative

Get to know the people behind Esri's newest collaborative.

Victoria Phillips

June 9, 2022

ArcGIS has much to offer to social scientists employing qualitative and mixed-method perspectives in their work. Our new internal team of social science experts is developing many resources to showcase the collaborative power and utility of ArcGIS for both quantitative and qualitative social science research. This includes data capture, coding, and analysis workflows; the visualization, dissemination, and perception of data; and the concepts, behaviors, and values for addressing long-standing issues of social and environmental concern.

Scroll through to meet the people working on the new Esri Social Science Team.

Hmmm... we can’t seem to find that content

Please try again later

Want to know more about how GIS can aid you in your social science work? Check out these resources.

Enhancing Qualitative Social Science with GIS

Many people understand the power of GIS for quantitative research, but fewer know of its practical applications for qualitative social science work. Qualitative data is non-numerical, descriptive, and unstructured. Examples of qualitative social science data include things like open-text survey responses, ad hoc or unstructured feedback, user-defined attributes, field notes and reflections, interview recordings and transcripts, and photos and videos taken by researchers and participants.

https://www.esri.com

Social Science Resources | Maps for Social Science Research

Maps are used to interactively and iteratively create & evaluate alternative (geo)designs to make better decisions. Learn how Esri supports and contributes to social science research.

https://www.esri.com

Questions? Email us at socialscience@esri.com.