Project Grant 2237907

Award Date 8/1/23
Completion Date 7/31/27
Dollars Obligated $793K
Federal Grant Program
47.041
Assistance Type
Project Grant
Place of Performance
Devore Heights, CA 92407, USA
Similar Awards
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 $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...
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...
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 Project Grant award from the National Science Foundation's (NSF) Engineering program (CFDA 47.041) provides $244,008 to The Research Foundation for the State University of New York (SUNY) to develop novel analytical methods and decision support models to help county policymakers in West Virginia more effectively combat the opioid crisis. The project aims to assess the effectiveness of interventions that disrupt opioid supply chains, including both supply-side interdiction strategies and...
This $533,718 Project Grant award from the National Science Foundation's (NSF) Engineering program (CFDA 47.041) supports the development of new analytical methods and algorithms to improve the management of partially observable supply chain systems, with a focus on sustainable seafood operations. The project aims to: Develop new structural estimation and optimization techniques to learn the preferences and behaviors of fishermen and fishing adversaries from imperfect data, and identify...
This National Science Foundation project grant of $999,939 supports research at The RAND Corporation and Carnegie Mellon University to improve understanding of illegal opioid supply networks through 2026. Funded under the Engineering program (CFDA 47.041), the award aims to advance national health and welfare by addressing the opioid overdose epidemic. Key products include new data collection on synthetic opioid listings, court documents, and law enforcement interviews. Economic and supply chain...
This Project Grant award in the amount of $311,024 was provided by the National Science Foundation (NSF) under the Engineering (CFDA 47.041) program. The grant supports a collaborative research project led by West Virginia University Research Corporation to develop novel analytical methods and decision support models to help county policymakers in West Virginia effectively allocate resources to combat the opioid crisis. The project aims to map and compare county-level budgetary approaches to...
This $122,327 project grant from the National Science Foundation's Engineering program (CFDA 47.041) supports an interdisciplinary collaboration to advance techniques for discovering, analyzing, and disrupting wildlife trafficking networks. Led by researchers at the City University of New York's John Jay College, the three-year award period from August 2022 to July 2025 will develop new algorithms and tools to automatically collect wildlife trafficking data from multiple online platforms on an...
This Project Grant award from the National Science Foundation (NSF) Engineering program (CFDA 47.041) provides $670,000 to The Pennsylvania State University (Penn State) to develop a data-driven early warning system framework for detecting and responding to emerging epidemics of illicit substance use. The project aims to (1) create predictive models to identify high-risk communities and emerging threats, (2) uncover causal factors driving these substance use patterns, (3) optimize intervention...

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 a networked agent-based modeling approach to simulate illicit decision-making at the transaction level among competing legitimate, criminal, and illicit-susceptible actors. The findings will identify targeted interventions through laws, policies, regulations, and business practices to constrain the benefits gained by actors engaging in illicit activity. The project will also engage stakeholders from academia, industry, and law enforcement to develop a generalizable framework for disrupting illicit supply networks. Additionally, the award supports the education of graduate students in this multidisciplinary area.

The project involves two sub-awards – one to Wake Forest University's Babcock School of Business and another to Ohio University. These sub-awardees will contribute expertise in areas such as supply chain modeling, business systems, and criminological research on illicit networks and markets.

Generated 6/18/24, 8:36 AM