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.
Mod # | Description | Reason For Modification | Federal Obligation (Click to sort descending) | Date (Click to sort ascending) |
|---|---|---|---|---|
| Not listed | $792.7k | 9/15/23 |
Grant Number | Description | Subgrantee | Prime Award | Dollars Obligated (Click to sort descending) | Updated At (Click to sort ascending) |
|---|---|---|---|---|---|
SA23146A1S | Ohio University | Project Grant 2237907 | $10.7m | 8/8/24 | |
SA23147A1S | Wake Forest University | Project Grant 2237907 | $81.0k | 8/6/24 | |
SA23147S | Wake Forest University | Project Grant 2237907 | $47.3k | 11/15/23 | |
SA23146S | Ohio University | Project Grant 2237907 | $41.9k | 11/13/23 |