Active Government Funding Opportunities

Fund a research study examining how international parental child abduction affects abducted children and left-behind parents across psychological, developmental, and social domains. Research will identify support gaps and recommend solutions for impacted U.S. families.

NSF seeks foundational research in civil infrastructure, advanced manufacturing, intelligent systems, and materials science. Projects should be intellectually ambitious with potential for transformative breakthroughs, not requiring near-term commercial outcomes.

NSF seeks foundational engineering research on novel electrical, photonic, quantum devices, and advanced communications/sensing systems. Projects should explore transformative capabilities without requiring near-term commercialization or deployment plans.

NSF funds foundational geosciences research across atmospheric, geospace, Earth, and ocean sciences. Projects advance knowledge frontiers with no requirement for near-term commercial outcomes, emphasizing intellectually ambitious and potentially transformative discoveries.

Exterior building mural painting services for Army facility, including design, materials, and painting contractor labor for building decoration and maintenance.

Market research to identify sources for an insurance advisor supporting the Build America Bureau's transportation infrastructure financing programs and initiatives.

This project uses Aerial Electromagnetic surveys to map saltwater intrusion in Florida's Everglades, integrating 30 years of data to predict future freshwater-saltwater interface trends and guide wetland restoration decisions.

Update to GPO Production Environment Track and Trace Platform for government publishing operations. Solicitation for platform modernization and implementation.

Army OTA seeks prototype development for CADENCC—enabling master protocols, decentralized clinical trials, and data analytics for accelerated CBRN defense medical countermeasures and pre/post-exposure prophylaxis testing.

This RFP seeks FPGA-based signal processing solutions using cognitive techniques like deep learning to detect and classify low-probability-of-intercept radar waveforms in real-time. The capability will enhance Navy threat simulation systems' jamming countermeasures by rapidly identifying adversarial radar types.

OLYMPUS seeks modular, open-architecture solutions for naval below-deck infrastructure to eliminate fragmented legacy systems across the fleet. The initiative addresses costly duplication and interoperability gaps by standardizing hardware and leveraging AI/machine learning for improved situational awareness and reduced sustainment costs.

This RFP seeks automated post-mission analysis and re-planning tools for collaborative combat aircraft operations. The solution uses advanced analytics and machine learning to rapidly generate actionable insights from mission data, enabling faster tactical optimization and improved decision-making for subsequent naval engagements.

This RFP seeks a portable digital metrology system to accurately measure defects on aircraft canopies and windscreens without removal. The solution must replace manual optical micrometers with an ergonomic tool capable of in-service measurements to determine repairability and prevent asset scrapping.

The Navy seeks an edge-deployed digital-twin platform with explainable AI for onboard condition-based maintenance of carrier systems. It processes high-frequency sensor data locally to enable real-time diagnostics and predictive maintenance despite limited connectivity, reducing unscheduled downtime and improving fleet readiness.

This RFP seeks a non-destructive sensor system that assesses airfield pavement conditions and detects foreign object debris without disrupting operations. The solution must align with FAA standards, autonomously integrate into airfield management networks, and support maintenance prioritization decisions.

The Space Force is developing a next-generation GPS ground command and control system using modular, cloud-enabled architecture. This prototype initiative seeks modern software, automation, and dual-legacy/future satellite operations to create a resilient, future-proof positioning infrastructure.

SABER seeks algorithms that optimize communications and sensing in decentralized radar networks by processing data locally and transmitting only compressed features. This addresses the Joint Force's need to balance imaging fidelity with bandwidth constraints in distributed maritime operations.

This RFP seeks development of Dual-Functional Radar-Communication (DFRC) waveforms that embed data directly into radar pulses, eliminating the need for separate communication links on surveillance platforms. Proposed phases progress from waveform design through hardware prototyping to integration with existing military sensor networks.

This RFP seeks AI/ML-based compression technology for high-rate radar data streams, addressing the challenge of massive synthetic aperture radar data volumes. The solution will develop neural network architectures to compress raw radar returns with minimal distortion, reducing bandwidth requirements for transmission and storage across defense and civilian sensor applications.