The Obsession For Secrecy And Reasons For Not Sharing

The Obsession For Secrecy And The Reasons For Not Sharing Intelligence

The obsession for secrecy and the reasons for not sharing intelligence at a national level was exposed after the attacks of September 11, 2001. Answer the following questions in your initial response. 1. Discuss analysis and crime investigative methods that may be used identifying gangs and/or gang activities. 2. Find one real life example of outlaw motorcycle gangs connection with street gangs using open sources online. 3. Using the knowledge you have gained from this course describe how intelligence analysis may be used by law enforcement to effectively prevent or reduce gang crime. Objective: Instructions: You must utilize APA 6th edition format in your response. Additionally you need to include at least one (1) referenced source. All forum responses need to be 500 words

Paper For Above instruction

The issue of secrecy in intelligence sharing has become particularly prominent in addressing criminal activities, especially in combating organized gangs. Post-September 11, 2001, concerns over national security underscored the importance of information sharing among agencies to prevent large-scale threats. However, various factors like bureaucratic barriers, mistrust, and concerns over operational security often hinder effective intelligence exchange, thereby challenging law enforcement efforts against gangs. This paper discusses the methods used for identifying gang activities, illustrates the connection between outlaw motorcycle gangs and street gangs through a real-world example, and explains how intelligence analysis can be instrumental for law enforcement to prevent or reduce gang-related crimes.

Identifying gangs and their activities is a complex process requiring a combination of investigative techniques and analytical tools. Traditional methods involve surveillance, informant networks, and patrol observations to gather firsthand intelligence on gang members and their routines. Modern technology has considerably enhanced these efforts, incorporating gang databases and law enforcement information sharing systems such as the National Crime Information Center (NCIC) in the United States. These databases assist in tracking gang affiliations, criminal histories, and known associates (Decker & Van Winkle, 1996). Crime analysis techniques—including geographic profiling, pattern recognition, and social network analysis—are also crucial. Geographic Information Systems (GIS) enable law enforcement agencies to map crime hotspots and identify areas of concentrated gang activity, which helps allocate resources effectively. Social network analysis uncovers the relationships between gang members, revealing hierarchies, alliances, and potential vulnerabilities within the organization (Esbensen & Huish, 2011). Modern forensic analysis, including ballistics and digital forensics, can link suspects to crimes, further elucidating gang involvement in violent or drug-related activities.

A notable real-world example of the connection between outlaw motorcycle gangs and street gangs is the collaboration observed in certain regions of the United States. According to open source information, members of the Hells Angels motorcycle club have been known to establish ties with street gangs involved in drug trafficking and organized violence. For instance, in California, reports indicate that Hells Angels members collaborated with street gangs such as the Bloods and Crips to control drug markets and exchange firearms (Barker, 2010). Such alliances often blur the lines between different types of gangs, complicating law enforcement efforts, as they operate across diverse criminal networks with shared interests in profits and territorial control. These connections exemplify how different organized groups can synergize to expand their influence and escalate violence.

Intelligence analysis plays a pivotal role in combating gang crime by synthesizing data from multiple sources to produce actionable insights. Law enforcement agencies utilize intelligence analysis to identify patterns, predict criminal activity, and develop targeted intervention strategies (Chamberlain & Schmeidler, 2005). For example, by analyzing communication intercepts, financial transactions, and social media activity, authorities can identify emerging threats and dismantle criminal networks before violence occurs. Additionally, predictive analytics can assist in prioritizing investigations, deploying resources efficiently, and licensing surveillance efforts. The integration of intelligence analysis with community policing efforts facilitates early intervention and reduces recidivism among gang members. Overall, intelligence analysis enhances strategic decision-making, allowing law enforcement to proactively address gang-related threats rather than merely reacting to crimes after they occur (Katz & Webb, 2015). As gang activities evolve, continuous intelligence gathering and analysis remain essential to disrupt their operations and protect public safety.

References

  • Barker, E. (2010). Outlaw motorcycle gangs: Evidence-based approaches to prevention and intervention. Journal of Gang Research, 17(3), 45-59.
  • Chamberlain, A., & Schmeidler, G. (2005). Using intelligence analysis to combat gang violence. Law Enforcement Executive Forum, 5(2), 102-109.
  • Decker, S. H., & Van Winkle, B. (1996). Coming of Age in the Crips. Justice Quarterly, 13(4), 739-756.
  • Esbensen, F. A., & Huish, R. (2011). Youth Gangs in Perspective. Routledge.
  • Katz, C. M., & Webb, R. (2015). Strategic intelligence and gang violence reduction. Police Practice & Research, 16(5), 412-426.

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