Who's Behind ICE: The Tech and Data Companies Fueling Deportations

Tech is transforming immigration enforcement. As advocates have known for some time, the immigration and criminal justice systems have powerful allies in Silicon Valley and Congress, with technology companies playing an increasingly central role in facilitating the expansion and acceleration of arrests, detentions, and deportations. What is less known outside of Silicon Valley is the long history of the technology industry's "revolving door" relationship with federal agencies, how the technology industry and its products and services are now actually circumventing city- and state-level protections for vulnerable communities, and what we can do to expose and hold these actors accountable.Mijente, the National Immigration Project, and the Immigrant Defense Project — immigration and Latinx-focused organizations working at the intersection of new technology, policing, and immigration — commissioned Empower LLC to undertake critical research about the multi-layered technology infrastructure behind the accelerated and expansive immigration enforcement we're seeing today, and the companies that are behind it. The report opens a window into the Department of Homeland Security's (DHS) plans for immigration policing through a scheme of tech and database policing, the mass scale and scope of the tech-based systems, the contracts that support it, and the connections between Washington, D.C., and Silicon Valley. It surveys and investigates the key contracts that technology companies have with DHS, particularly within Immigration and Customs Enforcement (ICE), and their success in signing new contracts through intensive and expensive lobbying

Crime data mining: A general framework and some examples

A general framework for crime data mining that draws on experience gained with the Coplink project at the University of Arizona is presented. By increasing efficiency and reducing errors, this scheme facilitates police work and enables investigators to allocate their time to other valuable tasks.published_or_final_versio

Knowledge management and human trafficking: using conceptual knowledge representation, text analytics and open-source data to combat organized crime

Globalization, the ubiquity of mobile communications and the rise of the web have all expanded the environment in which organized criminal entities are conducting their illicit activities, and as a result the environment that law enforcement agencies have to police. This paper triangulates the capability of open-source data analytics, ontological knowledge representation and the wider notion of knowledge management (KM) in order to provide an effective, interdisciplinary means to combat such threats, thus providing law enforcement agencies (LEA’s) with a foundation of competitive advantage over human trafficking and other organized crime

Managing digital forensic knowledge an applied approach

The science of digital forensics is continually changing as technological advances are made and new digital devices are developed. This environment forces analysts to regularly extend their skills with training and frequent research to develop new and admissible techniques. Unfortunately, the same and similar methods are re-discovered by other analysts who are unaware of earlier peer efforts. The situation is aggravated by a nearly universal backlog in qualified digital forensics facilities. This leaves little time for communication between analysts even within a single agency. To address these issues and facilitate an increase in efficiency across all law enforcement agencies, we apply the lessons of knowledge management to digital forensics and extend them with special characteristics required by the law enforcement profession. The result is the development of the National Repository of Digital Forensic Intelligence. This system has been implemented in the largest accredited digital forensics lab in the world and is currently being extended to many other local, state, and federal agencies to increase effectiveness and efficiency among analysts

Investigators\u27 Perceptions of Inter-Jurisdictional Law Enforcement Information Sharing On Criminal Investigative Success: An Exploratory Analysis

Information sharing among law enforcement entities became a national priority after the 9/11 attack (Carter, 2005). Various information systems utilized by law enforcement agencies may be promising; however, there is little extant empirical research to validate the system\u27s effectiveness related to increasing investigative success (Bureau of Justice Assistance, 2010). One information system that has tied together numerous Florida law enforcement agencies is the FINDER system. FINDER, the Florida Integrated Network for Data Exchange and Retrieval system, provides agency investigators a wide range of information not previously available (Reynolds, Griset, and Scott, 2006; Scott, 2006). This study\u27s foundation was primarily based upon the conceptual frameworks of diffusion of innovations and knowledge management. Survey based information from investigators using FINDER and those using a non-FINDER information system was obtained and analyzed to determine if the information impacted investigative success. Questionnaires were sent to those law enforcement investigators that participate in the FINDER system, as well as those who use a non-FINDER system. Through descriptive and regression analysis, it was found that FINDER participants reported there was a positive contribution to investigative success. The research also found that certain information obtained from FINDER assisted in arrests and an investigator\u27s ability to solve cases. This study provides a foundation for further information system research related to case solvability and investigative success