Country Level Engagement and Assistance to Reduce (CLEAR II) Child Labor
Sector: Commercial • Location: United States of America
Source: Grants.gov
In Fiscal Year 2014, the U.S. Department of Labors (USDOL) Bureau of International Labor Affairs (ILAB) will award up to $7 million for a cooperative agreement to one organization to fund a project to implement technical assistance activities that support the reduction of the worst forms of child labor (WFCL) by building local and national capacity to address the problem in a minimum of eight (8)
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Participants
Sponsoring Agency | Obfuscated Data |
Company | Obfuscated Data |
Status
Original status | archived |
Taiyo status | Obfuscated Data |
Taiyo last update | 00-00-0000 |
Available timestamps | 00-00-0000 |
Available timestamp type | Obfuscated Data |
Contact
Contact name | Obfuscated Data |
Phone | 0000000000 |
ObfuscatedData@email.com | |
Address | Obfuscated Data, Obfuscated data, obfuscated data, Obfuscated data |
Description
Description | In Fiscal Year 2014, the U.S. Department of Labors (USDOL) Bureau of International Labor Affairs (ILAB) will award up to $7 million for a cooperative agreement to one organization to fund a project to implement technical assistance activities that support the reduction of the worst forms of child labor (WFCL) by building local and national capacity to address the problem in a minimum of eight (8) countries over the life of the cooperative agreement. For the first year, the Grantee will work in in the following two (2) countries: Burkina Faso and Nepal. The other six (6) countries will be chosen in consultation with USDOL. Eligible Applicants may include any commercial, international, educational, or non-profit organization(s), including any faith-based, community-based, or public international organization(s), capable of successfully implementing the proposed programs. See Section III for detailed eligibility requirements. |
Original sub-sector | Obfuscated |
Original Currency | USD |
Original budget | 000000000000000 |
Procurement method | Obfuscated Data |
Budget | 000000000000000 |
Location
Region | Obfuscated |
Country | Obfuscated |
State | Obfuscated Data |
County | Obfuscated |
Location | Obfuscated Data, Obfuscated data, obfuscated data, Obfuscated data |
Source
Source reliability | High |
Data quality score | 100% |
Source | Obfuscated Data |
URL | obfuscated_data,obfuscateddata.com |
More Details
Project Type | Obfuscated Data |
Article Published Date | Obfuscated Data |
