This workshop will be facilitated by an applied mathematician and a social work researcher who will describe their collaboration on an analysis of a dataset pertaining to interorganizational relationships between community-based service providers and probation agencies. The social networks of these agencies are central to the treatment and care of individuals under community supervision who have mental health conditions or co-occurring substance use disorders. Network analysis can aid in the understanding of how agency networks interact, which is critical to the implementation and dissemination of interventions that require collaboration, trust and information sharing among individuals and agencies providing services for justice-involved individuals with mental illnesses.
This workshop will cover the benefits and challenges of a collaboration between social work and applied mathematics, generally, but will primarily focus on content related to the specific analytic methods used in this study of the social networks of criminal justice and social service agencies involved in the implementation of specialty mental health probation. The workshop will focus on (1) the justification for network analysis for our study questions, (2) the process of modeling this survey data as a network, and (3) considerations and complicating factors (e.g., incompleteness) that come from using survey data to model social networks.
This workshop will highlight the benefit of collaboration between social work research and applied mathematics, and encourage exploration into expanding the application of novel methods of analysis, such as network analysis, into new areas for social work research.