Introduction

Enhancing the resilience of our nation's rural communities to existing and upcoming crises is of pressing importance, as these areas are vital for preserving essential resources such as air quality, water supplies, food production, and supply chains - a realization underscored by the CoVID19 pandemic. Following our preliminary work, we have pinpointed collaborators and mapped out the capabilities required for rural resilience, particularly in the context of public health and environmental crises. Central to these requirements of resources and community collaborations is the ability to collect and analyze data related to health outcomes and climate changes, along with social determinants of health and justice within rural locales. Therefore, we have put together a specialized team that's dedicated to overcoming difficulties in data gathering and analysis. The method involves the construction of an extensive, interdisciplinary knowledge graph. This graph is designed to merge, portray, and interconnect previously separate health and justice data sets. It's a powerful resource designed to aid researchers, practitioners, and educators in improving their understanding of risk environments in rural locations and strengthening their resilience. The project's goal is to make use of existing geo-enrichment services and initiatives like the NSF-funded KnowWhereGraph. The team is devoted to synchronizing our efforts with these programs, as well as other Proto-OKN themes, in order to enhance our scientific studies of rural resilience to public health and environmental crises.

Project Overview

Project overview diagram

Alpha Version Demo

An alpha version of the RuralKG Web Service is available at RuralKG Web Service.

In this version, you can explore:

  • Knowledge queries for dataset background information,
  • Data queries on substances and substance-related data, and
  • Service queries for Mental Health Treatment Facilities provided by SAMHSA.

Test cases can be accessed at RuralKG Test Cases. Note that some queries may appear unusual as they are designed to test the boundaries of the system's capabilities.