A large chunk of a government's budget can be traced back to a small number of frequently used, expensive programs. These can include the costs of adult and juvenile incarceration, foster care for endangered children, or safety net services such as treatment for mental health or substance abuse for poor individuals. These programs don't operate in isolation; many individuals or families in one of the above programs will also be in at least one more at some point in their lives. Finding these social service "hotspots" could allow governments to more effectively distribute resources, reducing costs without sacrificing services at a time when budgets are especially tight.
But the data from each of these programs are walled off in different departments, such as the Departments of Corrections or Children and Family Services, with limited to no sharing across bureaucratic lines. In his Sept. 27 talk at the Computation Institute, Robert Goerge, a CI senior fellow and senior research fellow at the University of Chicago's Chapin Hall, described how integrating these silos of public sector data can inform more efficient government spending, and how computation can help.