Part 3: Approaches and methods to integrate diverse socio-environmental data

Printer-friendly versionPDF version
Oct 26, 2018


In the third video in the three-part series, we provide an overview of the diverse types of data and methods used in socio-environmental synthesis. Heterogeneous data from across the natural and social sciences forms the basis of socio-environmental synthesis, and we discuss in particular the increased interest in integrating qualitative and quantitative data. Common methods include statistical and spatially explicit modeling, dynamical systems modeling, and agent-based modeling. These and many other specific methods reflect the general analytical approach of synthesis research, which requires teams to articulate a shared conceptual understanding of a socio-environmental system, identify diverse data sources to measure social and environmental dimensions of the system, and integrate those data into complex analyses. 

Additional resources can be found here.

Share: Facebook Icon Twitter Icon Linked Icon