Category Archives: 28 CFR Part 23

28 CFR Part 23, Case Closed Software, case management software, Drug Task Force, gang intelligence, investigation case management, Investigation Management, investigation software, Law Enforcement Technology

Waco Police Department Selects Case Closed Software for Gang and Narcotics Investigations.

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Waco, Texas – The City of Waco Police Department has selected specialized criminal investigation software from Case Closed Software™ to manage investigations into gangs and narcotics crimes. The new gang investigation software will provide officers with the tools they need to effectively investigate and track criminal activity in these areas, allowing them to more efficiently gather and analyze data to build strong cases.

“Gang and narcotics crimes are two of the most serious challenges facing law enforcement agencies in Waco and across the country”, said Case Closed Software’s CEO Douglas Wood. “These crimes often involve complex networks of individuals and can be difficult to investigate and prosecute. The new system, which includes confidential informant management software  will help better identify and track criminal activity, and build stronger cases against those who would do harm.”

According to recent data from the Waco Police Department, narcotics-related offenses have been on the rise in recent years, with a particular increase in the abuse of opioids and other prescription drugs. The department has also reported a rise in gang activity, with several local gangs being linked to drug trafficking and other serious crimes.

Case Closed Software is a leading provider of CJIS-compliant, cloud-based criminal investigation software and has been deployed by law enforcement agencies across the country. The software is designed specifically to help investigators manage complex cases involving gangs and narcotics, providing tools for gang analysis, investigation management, and organizational reporting.

The new software is expected to be implemented in the coming weeks, and officers will receive training on how to use it effectively. The City of Waco Police Department remains committed to providing the highest level of service to the community and will continue to explore new technologies and tools to support its mission.

Case Closed Software has also recently announced that its software was being deployed for Baldwin County (GA) Sheriff’s Office.

For more information on Case Closed Software, please visit their website at www.caseclosedsoftware.com.

28 CFR Part 23, Big data, civil liberties, crime analysis, criminal intelligence, gang intelligence, Investigation Software, investigative case management, law enforcement, law enforcement intelligence, Link Analysis, Major Case Management, Palantir, policing, predictive analytics, predictive policing

Big Data Surveillance: The Case of Policing

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Posted by Douglas Wood, CEO of Case Closed Software – a leader in investigation software  and analytics for law enforcement.
Headquartered here in Central Texas, I recently had an opportunity to have coffee with Dr. Sarah Brayne, Assistant Professor, Department of Sociology at The University of Texas at Austin. Ms. Brayne had just published an interesting article in The American Sociological Review. The article is titled Big Data Surveillance: The Case of Policing.
The article examines the intersection of two emerging developments: the increase in surveillance and the massive exploration of “big data.” Drawing on observations and interviews conducted within the Los Angeles Police Department, Sarah offers an empirical account of how the adoption of big data analytics does—and does not—transform police surveillance practices.
She argues that the adoption of big data analytics facilitates may amplify previous surveillance practices, and outlines the following findings:

  1. Discretionary assessments of risk are supplemented and quantified using risk scores.
  2. Data tends to be used for predictive, rather than reactive or explanatory, purposes. (Here, Crime Tech Weekly would want to differentiate between predictive analytics and investigation analytics)
  3. The proliferation of automatic alert systems makes it possible to systematically surveil an unprecedentedly large number of people.
  4. The threshold for inclusion in law enforcement databases (gang databases, criminal intelligence data, etc) is lower, now including individuals who have not had direct police contact. (Here again, Crime Tech Weekly would point out that adherence to criminal intelligence best practices vastly reduces this likelihood)
  5. Previously separate data systems are merged, facilitating the spread of surveillance into a wide range of institutions.

Based on these findings, Sarah develops a theoretical model of big data surveillance that can be applied to institutional domains beyond the criminal justice system. Finally, she highlights the social consequences of big data surveillance for law and social inequality.
The full PDF report can be downloaded via Sage Publishing by clicking here. Or, if you have general comments or questions and do not wish to download the full version, please feel free to contact us through the form below. Crime Tech Weekly will be happy to weigh in.
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