SIGNALS INTELLIGENCE (SIGINT) SOLUTIONS FOR EVOLVING SCENARIOS (SESS)

Solicitation ID: FA875023S7005

Agency: AFRL/RIGC

Eligibility Reasoning

Federally Funded Research and Development Centers (FFRDCs) and Government entities (e.g., Government/National laboratories, military educational institutions, etc.) are subject to applicable direct competition limitations and cannot propose to this BAA in any capacity unless they meet the following conditions: FFRDCs: FFRDCs must clearly demonstrate that the proposed work is not otherwise available from the private sector; and FFRDCs must provide a letter on official letterhead from their sponsoring organization citing the specific authority establishing their eligibility to propose to Government solicitations and compete with industry... FFRDC and Government entity eligibility will be determined on a case-by-case basis

Note: This is an AI-generated summary...

Summary

The Department of the Air Force, through the Air Force Research Laboratory (AFRL) in Rome, NY, has issued a Broad Agency Announcement (BAA FA8750-23-S-7005) titled 'Signals Intelligence (SIGINT) Solutions for Evolving Scenarios (SESS)'. The program seeks innovative research and development of emerging Cyber and SIGINT real-time processing solutions to enhance tactical information collection, geolocation, extraction, analysis, and reporting for the Intelligence Community. The primary goals are to provide situational awareness, enable network-centric data processing, and develop tools for warfighters to achieve battlespace dominance. The BAA is open until September 25, 2028, with a total estimated funding of $99.9M. The process is a two-step submission, starting with a white paper, followed by an invitation-only formal proposal. Individual awards are expected to range from $0.25M to $15M over periods of up to 36 months, with various award instruments like contracts, grants, or Other Transactions (OTs). The opportunity is generally closed to foreign participation, with certain exceptions.

Overall Technical Areas

Probable LBNL Areas

Focus Areas

Potential LBNL PIs (Overall)

Note on PI Matching: These suggestions are generated through an AI-driven semantic analysis of LBNL staff profiles.

Name	Score	Organization
Mark Bandstra	0.74	PSA | NSD | ANP · Signal Identification & Characterization
Prabal Dutta	0.74	ETA | Building Tech. & Urban Sys. | Bldg Technologies Dept · Sensor Data Collection
Houjun Tang	0.74	CSA | SciData | Data Science Applications · Real-Time Data Processing
Cory Snavely	0.74	CSA | NERSC | HPC Technology Department · Open Architecture Systems
Stephen Holland	0.72	PSA | PHY | Detector Development · Low Power Signal Detection
Alexandre Bayen	0.72	ETA | Energy Analysis | Systems & Energy Tech Analysis · Automated Signal Exploitation
Victor Negut	0.72	PSA | NSD | ANP · Multi-Platform Intelligence Fusion
Tiffany Connors	0.72	CSA | NERSC | Data Center Department · Cyber Intelligence Operations
Stijn (Stan) Wielandt	0.72	PSA | Engineering | Electronic Engineering · Advanced Digital Signal Processing (DSP)
Holger Mueller	0.71	BSA | Molecular Biophysics & Integrated Bioimaging | Structural Biology Dept · Noise and Interference Mitigation

Fundamental Research Exemption (FRE)

Foreign Nationals as Employees or Subcontractors. Applicable to any effort not considered Fundamental Research. Offerors are responsible for ensuring that all employees and/or subcontractors who will work on a resulting contract are eligible to do so. Any employee who is not a U.S. citizen or a permanent resident will be restricted from working on any resultant contract unless prior approval of the Department of State or the Department of Commerce is obtained via a technical assistance agreement or an export license. Violations of these regulations can result in criminal or civil penalties.