The Acquisition Innovation Research Center: Innovation for Digital Transformation and Policy Analytics
AUTHORS: Dr. Hanumanthrao Kannan1, Dr. William Rouse2, Dr. Nirav Merchant3, Dr. Alejandro Salado3, Dr. Young-Jun Son4, Dr. Zoe Szajnfarber5
THE UNIVERSITY OF ALABAMA IN HUNTSVILLE 1, GEORGETOWN UNIVERSITY 2, THE UNIVERSITY OF ARIZONA 3, PURDUE UNIVERSITY 4, THE GEORGE WASHINGTON UNIVERSITY 5
This report presents the initial results of an AIRC Policy Test Laboratory (PTL) study and was performed by the research team over a period of two months. The goal of this project was to establish an initial reference architecture to support the development of the PTL.
The government has identified several obstacles to inform effective and efficient acquisition policies. Effective modeling, simulation, and analysis of acquisition policies require a multi-domain, multi-scale approach. However, existing research in acquisition policy analysis has primarily remained siloed. Policy researchers lack a platform that enables sharing, reusing, or integrating the methods, models, and data developed and/or generated by different research teams in different projects. Government envisions a PTL as a potential solution to this need. The PTL is conceived as a service where a domain model developed in a project can be used and/or integrated with another model of a different domain developed in a different project.
The need for multidisciplinary modeling and the integration of heterogeneous models has been identified in other research fields. Efforts with different scopes and goals are undergoing, with different approaches in both technical and organizational governance. Some efforts focus on developing an integrated model out of which research questions may be addressed. Some efforts focus on enabling integration of models to let integration efforts emerge to respond to a wider variety of research questions. These existing efforts were assessed based on their background, goal, maturity (or state of the development), types of research questions they can support and application domains they serve, kinds of disciplinary models, data, and tools they are intended to support, architecture, and technical and organizational governance. This assessment has been used to increase the understanding of what type of approach may better fit the needs of the Department of Defense (DoD) to support acquisition research.