U.S. Immigration and Customs
Enforcement Detention Model
Background:
U.S. Immigration and Customs Enforcement (ICE) needed a way to
forecast its detention bed space requirements, better manage its
resources, and justify requests for additional staff, funding, and
construction projects. This need required a contractor with
expertise in advanced analysis and modeling techniques and a comprehensive
knowledge of illegal alien immigration and detention trends.
Project Summary:
Fentress began working with ICE in 2000 to develop a simulation model that
forecasted the number of illegal alien detainees based upon the number of
apprehensions, the number of agents, and detainee length of stay.
The simulation model examined additional parameters, including
nationality, offense type, and case type. Constructing the
simulation model required extensive knowledge of two federal databases.
One of the databases contained information on illegal alien apprehensions
such as nationality, facility, status, case, and relevant dates; the other
is an ICE operational database that tracks personnel apprehensions at
various levels, including district, sector, station, and port of entry.
Developing the parameters of the model required Fentress to engage,
organize, and manipulate data from these databases in a short timeframe.
Results:
The simulation model reduced the complex operations of ICE detention into
a manageable quantitative system flow by focusing only on those detention
outcomes that were most probable and most applicable to a majority of
detainees. The model takes into account the links between arresting
agents (e.g., border patrol agents, criminal investigators, and
immigration inspectors) and detention needs, providing increased
operational flexibility and responsiveness. The result was a model
that is intuitively reasonable, highly accurate, and cost-effective.
These benefits made the model appealing to senior decision-makers within
the organization. The model was essential to ICE in producing
credible and defensible budget requests in support of its detention
programs and resource needs.
|