How Can We Improve Information Sharing Among Local Law Enforcement Agencies?

Download or read book How Can We Improve Information Sharing Among Local Law Enforcement Agencies? written by and published by . This book was released on 2005 with total page 69 pages. Available in PDF, EPUB and Kindle. Book excerpt: The events of 9/11 and subsequent examination of the intelligence community in the United States have clearly identified several areas that require immediate repair. While on the federal, state, and local levels there is a complex system of collecting, developing, and analyzing intelligence that can be used to prevent terrorist attacks, the United States does not have an accompanying system that shares intelligence information throughout the law enforcement community. The purpose of this thesis is to review information sharing between federal, state, and local law enforcement agencies and to suggest methods to improve that capability. In the aftermath of the September 11th attacks, authorities uncovered patterns of suspicious activity occurring in places such as Maryland, Florida, and New Jersey. These activities included individuals paying cash for plane tickets, taking flight lessons, inquiring about crop duster planes, and frequenting drug stores. Taken individually, these incidents were not overly suspicious nor were they seen as serious when reported to authorities. Yet, all together they illustrate, at best, highly suspicious behavior and, at worst, a picture of a master plan of prospective criminal activity. When collecting data on terrorist potential, one isolated incident in a local jurisdiction may not have obvious significance, but the ability to view all incidents together across cities or states might paint a more complete picture. Agencies are now recognizing the benefits of data sharing across institutions and jurisdictions. The success of the fusion center concept rests on the ability of the Office of the Director of National Intelligence, the Department of Homeland Security, and the FBI to make a collaborative decision on what system(s) would best meet these requirements.