The National Geospatial-Intelligence Agency (NGA) has issued a Performance Work Statement (PWS) for the GEOINT Learning Through Academic Programs II (GLAP II), aimed at enhancing training for geospatial-intelligence professionals. The initiative seeks to provide advanced undergraduate and graduate-level courses in various GEOINT-related subjects including Artificial Intelligence, Remote Sensing, and Data Analytics. Contractors are required to deliver these courses through virtual instructor-led or self-paced formats while being institutionally accredited.
The contractor will manage course logistics, including maintaining a course catalog, coordinating schedules, and ensuring materials are available for students. Regular program management reviews will provide updates on performance outcomes, while invoicing and course completion reporting are outlined to maintain accountability.
Courses will cater to a minimum of 10 students and a maximum of 24, delivered within specific instructional hour limits and with a focus on adult learning methodologies. The overarching goal of the program is to support NGA's mission by providing flexible, tailored training solutions that meet the evolving needs of the GEOINT workforce.
The National Geospatial-Intelligence Agency's (NGA) Performance Work Statement (PWS) outlines the GEOINT Learning through Academic Programs II (GLAP II) initiative, which aims to enhance the skills of the geospatial-intelligence workforce. GLAP II focuses on advanced undergraduate and graduate courses offered in partnership with accredited universities, emphasizing innovative and flexible learning tailored to NGA needs. Courses, designed to be condensed to accommodate busy schedules, may be virtual or self-paced, covering vital subjects such as AI, data analytics, geospatial data management, and remote sensing.
The contractor is responsible for program management, course delivery, and providing appropriate resources, ensuring course content meets NGA standards and provides practical knowledge. The anticipated ordering includes 15-30 courses annually, with assessments and management reviews scheduled for continuous improvement.
Post-course evaluations, syllabus development, and logistical coordination are critical components of the program, supporting the GEINT Enterprise's mission to maintain analytical proficiency. The PWS also emphasizes security protocols for handling sensitive information and outlines the operational requirements to ensure compliance with government regulations. Overall, GLAP II embodies NGA's commitment to enhancing analytic capacity within the geospatial-intelligence community through targeted educational initiatives.
The document is an amendment to a Request for Information (RFI) related to the GLAP II requirement, updating the Performance Work Statement (PWS) and addressing industry inquiries. The RFI submission deadline is extended to June 2, 2025. Key clarifications include that responses are sought from accredited entities, with a focus on maintaining course integrity and meeting learning objectives. The amendment specifies the requirement for eight hours of training daily and clarifies roles in course management. Additionally, the document addresses logistical matters such as cancellation notice periods and the communication process between the Government and universities. The Government discourages significant deviations from the syllabus to uphold instructional integrity. The opportunity for industry to submit questions is now closed, indicating a move towards finalizing the RFI process and aligning with operational needs within the context of government contracting. This reflects the Government's commitment to ensure efficient course delivery amidst evolving mission requirements.
The National Geospatial-Intelligence Agency (NGA) is soliciting information through a Request for Information (RFI) for its GEOINT Learning Through Academic Programs II (GLAP II) initiative, aiming to leverage partnerships with regionally accredited academic institutions. This RFI seeks input on providing advanced undergraduate and graduate courses related to Geomatics and Geospatial Information Analysis. The objective is to enhance geospatial intelligence professionals' analytic capabilities through innovative, flexible educational offerings over an estimated five-year period. Courses must be conducted virtually or in-person at NGA locations, utilizing specific subject areas, including Artificial Intelligence, Remote Sensing, and Data Analytics. Interested institutions are encouraged to respond with qualifications, relevant experience, and innovative approaches to course delivery. The RFI highlights NGA's commitment to identifying potential contractors while clarifying that responses will not lead to a procurement obligation, aiming primarily to ascertain marketplace capabilities and competition. All submissions must be unclassified, and proprietary information should be clearly marked, emphasizing NGA's guidelines to maintain confidentiality and compliance with security protocols.