Strengthening Bosnia and Herzegovina's Anti-Money Laundering System to Combat Transnational Organized Crime Networks

The U.S. Department of State's Bureau of International Narcotics and Law Enforcement Affairs (INL) is offering a Notice of Funding Opportunity (NOFO) for a project titled "Strengthening BiH’s Anti-Money Laundering System to Combat Transnational Organized Crime Networks." A total of $500,000 is available for one award, with applications ranging from $400,000 to $500,000. The project aims to enhance Bosnia and Herzegovina's (BiH) capacity to detect, investigate, prosecute, and adjudicate complex money laundering operations by transnational criminal organizations (TCOs) that threaten U.S. security interests. Key objectives include strengthening suspicious transaction report (STR) detection, expanding digital forensic capabilities, improving interagency coordination, and developing specialized expertise among legal professionals. The project will run for 30-36 months, starting in October 2026. Eligible applicants are U.S.-based non-profit/non-governmental organizations, educational institutions, and for-profit organizations with demonstrated expertise in anti-money laundering and criminal justice reform. Applications are due by August 10, 2026, via grants.gov. The project is a Cooperative Agreement, implying substantial INL involvement.

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The “PERFORMANCE INDICATOR REFERENCE SHEET” (PIRS) is a guide for federal government partners to create and manage performance indicators for projects related to RFPs and grants. It requires detailed information for each indicator, including its name, target, associated project element, and purpose, ensuring alignment with project outcomes. The document outlines data requirements such as data type, definition, sources, and collection methodology. It also emphasizes reporting frequency and geographic and non-geographic disaggregations like sex, sector, and course topic. The PIRS aims to standardize indicator reporting, enhance data quality, and facilitate effective project monitoring and evaluation, helping users identify and address data limitations to improve project performance.

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