A multidisciplinary team of researchers from George Mason University, led by Foteini Baldimtsi, Associate Professor of Computer Science, is partnering with the Blockchain Intelligence Group to pursue a project on “Money Laundering with Cryptocurrencies.” The project will pursue big data analysis techniques to assess money laundering activities using cryptocurrencies, and develop automated (probabilistic) tools to serve the operational need of identifying users (i.e., addresses) that are likely involved in illegal activities, in support of relevant investigations.
Diana Dolliver, Assistant Professor of Criminology and Criminal Justice at the University of Alabama, will lead a project on “Digital Forensic Investigations involving Cryptocurrency Wallets Installed on Mobile Devices.” This project will address the challenges faced by investigators related to the efficacy of seizing cryptocurrencies from software wallet applications and extracting, preserving, and analyzing related data recovered from suspects’ mobile devices.
Dan O’Malley, Chair of School of Business at Liberty University, will pursue a project on “An Extensible Criminal Predictive Analytic Platform (CPAP) for Opioid Abuse Detection and Prediction.” The project will develop a predictive analytic platform to anticipate future opioid hotspots in near real-time using open source intelligence for law enforcement intervention.
A multidisciplinary team of researchers from Georgia State University, led by Marie Ouellet, Assistant Professor of Criminal Justice and Criminology, will pursue a project on “Open Source Intelligence in Online Stolen Data Markets.” The project will advance our understanding of how actors in underground online markets and forums emerge, establish their reputations, and manage the sourcing and sale of online data. Building on this, the PIs will develop effective network disruption strategies.
A multidisciplinary team of researchers from the University of Texas at San Antonio and the University of Washington, led by Marie Skubak Tillyer, Associate Professor of Criminal Justice at UTSA, will pursue a project on “Innovative Spatiotemporal Pattern Detection: Examining Changes in Crime Hot Spots Across 6 U.S. Cities,” to study changes in crime at the block face level from 2008-2018 across six major U.S. cities, to advance our understanding of the correlation between place and crime and the mechanisms that drive the birth and death of crime hot spots.