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Department of Homeland Security Assessment

Last reviewed: January 27, 2013 ~3 min read

Department of Homeland Security

Assessment of the Future of Department of Homeland Security

The mission of the Department of Homeland Security (DHS) is predicated on accurately and efficiently capturing a myriad of intelligence sources and aggregating the data so it can be of use to stakeholders in the department of defense, law enforcement and national security. As the DHS continues to gain greater insights into how they can use processes, systems and technologies to better defend the United States, ancillary lessons are being learned and the agency continues to progress rapidly on a unique, valuable learning curve of intelligence gathering (Larson (2004), pp. 22, 23). The critical issues, challenges and opportunities for the agency to shift away from a counterterrorism-centric posture to homeland security intelligence for policy- makers and analysts are discussed in this analysis.

Navigating the Shift Away From Counterterrorism to DHS Intelligence

The effectiveness of the DHS in meeting complex, challenging and often abstract objectives has been proven to be highly effective in anticipating threats and averting them. These same core competencies can be used for anticipating the impact of economic, social and political change, creating a solid foundation of insight for policymakers on how to better manage social programs for greater effectiveness. The depth of expertise that the DHS has in predictive modeling and analytics, in addition to operational research also illustrates how the agency is moving very quickly down the learning curve of these technologies and techniques (Larson (2004), pp. 23). Taken together all of these factors have created a highly effective framework for collecting, aggregating, analyzing and getting the most value of data. The role of information technologies in supporting this rapidly evolving knowledge system is also evident in how the DHS is now using advanced analytics and taxonomy development platforms to gain greater insights into the data collected (Hewitt (2012), pp. 58, 59).

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References

4 sources cited in this paper

Goldsmith, Benjamin E., Charles Robert Butcher, Dimitri Semenovich, and Arcot Sowmya. Forecasting the Onset of Genocide and Politicide: Annual Out-of-Sample Forecasts on a Global Dataset, 1988-2003. Rochester, Rochester: 2012.
Hewitt, Ronald T. "Valuing IT Human Capital." IT Professional Magazine 14, no. 1 (2012): 58-60.
Larson, Richard C. "Emergency Response: Operations Research Models for Homeland Security." OR-MS Today 31, no. 5 (2004): 22-9.
Mitchell, Kenneth. "The Other Homeland Security Threat: Bureaucratic Haggling." Public Manager 32, no. 1 (2003): 15-18.

Goldsmith, Benjamin E., Charles Robert Butcher, Dimitri Semenovich, and Arcot Sowmya. Forecasting the Onset of Genocide and Politicide: Annual Out-of-Sample Forecasts on a Global Dataset, 1988-2003. Rochester, Rochester: 2012.
Hewitt, Ronald T. "Valuing IT Human Capital." IT Professional Magazine 14, no. 1 (2012): 58-60.
Larson, Richard C. "Emergency Response: Operations Research Models for Homeland Security." OR-MS Today 31, no. 5 (2004): 22-9.
Mitchell, Kenneth. "The Other Homeland Security Threat: Bureaucratic Haggling." Public Manager 32, no. 1 (2003): 15-18.

Goldsmith, Benjamin E., Charles Robert Butcher, Dimitri Semenovich, and Arcot Sowmya. Forecasting the Onset of Genocide and Politicide: Annual Out-of-Sample Forecasts on a Global Dataset, 1988-2003. Rochester, Rochester: 2012.
Hewitt, Ronald T. "Valuing IT Human Capital." IT Professional Magazine 14, no. 1 (2012): 58-60.
Larson, Richard C. "Emergency Response: Operations Research Models for Homeland Security." OR-MS Today 31, no. 5 (2004): 22-9.
Mitchell, Kenneth. "The Other Homeland Security Threat: Bureaucratic Haggling." Public Manager 32, no. 1 (2003): 15-18.