Project Grant 2146335
- This $150,000 Project Grant from the National Science Foundation's Engineering program (CFDA 47.041) will fund Northeastern University's development of a network-enabled system to disrupt illicit trade in counterfeit and illegal medicines. Over a four-year period from August 2022 to July 2026, the university will employ criminological, computer science and pharmacological methods to identify intervention points and coordinate stakeholder efforts against illegal medical product flows....
- This $792,709 Project Grant award from the National Science Foundation's (NSF) Engineering program (CFDA 47.041) aims to develop and evaluate an integrated theory of illicit decision-making within dynamic supply networks. The primary objective is to understand how individuals' choices to engage in legitimate versus illicit activities can impact the decisions of other actors in a supply network. The research team, comprised of experts in criminology, engineering, and information systems, will use...
- This $478,962 federal Project Grant award from the National Science Foundation (NSF) Engineering program (CFDA 47.041) to Clemson University aims to mitigate the harm caused by illicit opioid use, particularly fentanyl, through a convergent research approach. The project will investigate methods to disrupt the supply chain of illicit opioids and shift user pathways towards recovery, while optimizing the allocation of resources between demand- and supply-side interventions. Key research...
- The National Science Foundation awarded a $150,000 Project Grant to the University of Notre Dame du Lac to develop a holistic framework for detecting online opioid trafficking activities. Funded under the Computer and Information Science and Engineering program (CFDA 47.070), this two-year award will support the design of a heterogeneous temporal graph and graph transformer model with meta-learning capabilities. The framework aims to comprehensively model and analyze dynamic multi-modal data...
- The National Science Foundation (NSF) awarded a $951,394 Cooperative Agreement under the NSF Technology, Innovation, and Partnerships (CFDA 47.084) program to Ballydel Technologies Inc. for the development of serialized anti-counterfeit labeling technology for pharmaceutical and biological products. The project aims to create a scalable manufacturing process for imprinting covert, encrypted patterns onto labels for individual vaccine vials, incorporating serialized codes to enable traceability...
- This $180,000 Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) is for a collaborative research project to develop a data-driven, AI-powered system to investigate the nexus of poverty-driven food insecurity and the opioid crisis. The goal is to design integrated, personalized interventions to address these intertwined societal challenges and enhance national public health, safety, and welfare. The award,...
- This Project Grant award from the National Science Foundation (NSF) Engineering program (CFDA 47.041) will provide $553,946 to Northeastern University to support research focused on improving the ability to combat human trafficking. The award, titled "CAREER: MULTI-AGENT NETWORK INTERDICTION AND SERVICE PROVISION MODELS TO COUNTER HUMAN TRAFFICKING," aims to develop novel analytical decision models that will enhance collaboration among stakeholders, address the interdependencies...
- This $292,362 federal Project Grant award, provided by the National Science Foundation (NSF) Division of Mathematical Sciences under the Mathematical and Physical Sciences (CFDA 47.049) program, aims to develop new mathematical theory and statistical tools for monitoring changes in complex systems, such as global trade networks. The project will provide real-time change detection methods with theoretical guarantees for identifying atypical patterns in comprehensive trade databases, with...
- This $241,079 National Science Foundation project grant funds research at North Carolina State University from August 2022 to July 2026 to study the unintended consequences of law enforcement disruptions to illicit drug networks. The Engineering grant (CFDA #47.041) will construct a county-level dataset across 10 states integrating data on drug seizures, crime incidents, mortality records, and census information. Researchers will employ spatial temporal causal modeling to analyze relationships...
- This $250,000 Project Grant award from the National Science Foundation (NSF) Division of Mathematical Sciences under the Mathematical and Physical Sciences program (CFDA 47.049) supports the development of algorithms for real-time dynamic risk identification and monitoring of streaming data, particularly in the domains of electronic medical records, mobile health, and supply chain. The key objectives are to create a unified framework for dynamic risk detection that can be incorporated into...
This four-year project grant from the National Science Foundation's Division of Information and Intelligent Systems, under the Computer and Information Science and Engineering program (CFDA 47.070), provides $200,000 to the University of Houston to develop and evaluate a network-enabled system to disrupt illicit trade networks in counterfeit and illegal medicines. The multidisciplinary research team will identify intervention points and coordinate stakeholder efforts to disrupt illegal flows using data access, network analysis, and distributed inference techniques. Specific aims include constructing a multiplex network model from aggregated data to discover topological properties and predict missing entities; validating intervention strategies through expanded testing of medical products; and developing frameworks and incentives for multi-stakeholder collaboration to enable collective public, private, and nonprofit action against trade in substandard and falsified medical products globally.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $200.0k | 9/15/22 |