Active Government Funding Opportunities

USGS seeks a CESU partner to develop an integrated population model blending western science with Indigenous Knowledge to estimate polar bear abundance in two Arctic subpopulations and assess harvest sustainability risks.

USGS seeks research on snowmelt timing and trends to understand wet slab avalanche patterns across elevations and fire-affected areas. The project will use advanced modeling and empirical data to analyze historical patterns and forecast future conditions.

Train the next generation of geologic mappers through student research projects that develop Earth science mapping techniques and data analysis skills. EDMAP funds graduate and undergraduate students to expand academic capacity in field geology, geophysical methods, and remote sensing applications.

NSF FINDERS FOUNDRY supports K-12 educators, technologists, and researchers collaborating to develop AI-integrated learning solutions and tools. Teams co-design evidence-based technologies addressing real challenges identified by students and educators to prepare the workforce for an AI-driven future.

NOAA seeks to advance ocean and coastal mapping through development and integration of innovative technologies and workflows. The program aims to expand data accessibility and efficiency across acquisition, processing, and product delivery for national hydrographic capability.

NOAA seeks an academic partner to advance ocean and coastal mapping capabilities through a 5-year cooperative agreement. This initiative will improve hydrographic data collection and integration to support coastal management, navigation safety, and marine resource protection.

NIJ seeks research and evaluation projects examining violence against women, including domestic violence, intimate partner violence, sexual violence, stalking, and teen dating violence. Funded work will test interventions to improve victim engagement with justice systems and increase perpetrator accountability.

Develop a low-cost "acoustic rainbow emitter" to attach to a UAS, reducing its acoustic signature and increasing its survivability in contested environments. This technology aims to counter the growing prevalence of acoustic sensors on the battlefield for improved ARSOF UAS mission success.

Seeking an acoustic communication system for drone swarms that uses propeller noise to share position data. This technology will enable decentralized swarming by allowing drones to autonomously maintain formation through sound-based communication.

Onboard AI algorithms are sought to enable autonomous satellite decision-making for space domain awareness and battle management in contested environments. This research aims to improve real-time responsiveness and reduce kill-chain latency for resilient, networked satellite systems.

Seeking affordable midwave infrared (MWIR) sensors for a missile-tracking satellite constellation, enabling persistent threat detection from low Earth orbit. Proposals should offer cost-effective designs suitable for large-scale deployment, improving upon current technology for proliferated space-based missile defense.

Adaptive test planning software needed to optimize evaluation of LEO satellite constellations. The tool should leverage evolving system knowledge and Bayesian methods to prioritize impactful tests and reduce redundant efforts in fast-paced space acquisition.

Develop advanced satellite de-orbiting technologies to enable commercial servicing solutions for problematic spacecraft in low Earth orbit. The goal is to create universal capture mechanisms, autonomous rendezvous capabilities, and design innovations that reduce orbital debris risks for proliferated satellite constellations.

A secure, modular data fusion platform for Proliferated Low Earth Orbit (pLEO) satellite constellations that enables real-time multi-source intelligence processing and AI-driven analytics. The solution aims to enhance mission decision-making by providing a flexible, zero-trust environment for rapid data integration and third-party tool evaluation across diverse space operational contexts.

A card-based mobile interface to unify Space Force technology insights, enabling real-time tracking of emerging S&T trends and strategic investment opportunities across commercial and government ecosystems. The platform will consolidate fragmented data sources, empowering stakeholders to proactively identify, assess, and collaborate on cutting-edge space innovations.

ALIAS autonomy applications for UH-60 helicopters aim to enhance emergency services and wildfire suppression by enabling real-time decision-making and minimally-supervised aerial operations. The technology seeks to improve response times and mission effectiveness through advanced autonomous capabilities for complex tasks like medical evacuations, reconnaissance, and cargo transport.

A mobile card-based interface that leverages machine learning to automatically detect and quantify subtle animal behavioral changes, enabling more sensitive and unbiased assessments of chemical and biological threat responses at lower effect thresholds. This platform aims to accelerate medical countermeasure development by providing high-throughput, nuanced behavioral profiling technologies for defense research.

A compact laser-driven electron accelerator seeks to revolutionize radiation hardness testing for space electronics by generating high-energy electron beams in a small footprint. The technology aims to provide a more accessible, cost-effective alternative to large-scale accelerator facilities, enabling comprehensive single-event effect testing for microelectronic systems.

A comprehensive security assessment framework for secure messaging applications (SMAs) to identify and mitigate vulnerabilities in cryptographic protocols and software architectures. The research aims to develop actionable tools and models that enable developers and users to understand and defend against emerging threats in encrypted mobile communication platforms.

Develop innovative signal detection techniques using existing sensors to identify and track weapons of mass destruction (WMD) across military and commercial platforms. The solution aims to enhance WMD threat detection capabilities by leveraging common hardware like microphones, cameras, and infrared sensors more intelligently and cost-effectively.

Develop an innovative 200-mm GaN-on-Si technology platform to enable monolithic integration of high-performance RF frontend components like low-noise and power amplifiers. The solution aims to address current limitations in scalable semiconductor technologies for advanced radar, communication, and mobile applications.

Microphysiological systems (iMPS) offer a breakthrough in vaccine development by modeling human immune responses in vitro, bridging the gap between preclinical studies and clinical trials. By accurately predicting vaccine immunogenicity, efficacy, and potential side effects, iMPS can accelerate medical countermeasure discovery for emerging threats to military personnel.

Distributed protein production enables rapid, on-demand biologics creation across therapeutic, vaccine, and diagnostic domains. This innovative approach eliminates cold-chain logistics, accelerates development, and provides flexible scaling for critical medical and research applications.

Mobile diagnostic card interface for rapidly synthesizing stable nucleic acid reagents in extreme field conditions, enabling point-of-need test development without cold storage requirements and supporting molecular assay generation across challenging environmental scenarios.

A mobile card-based interface that rapidly synthesizes complex battlefield data, enabling warfighters to quickly visualize and communicate critical information across chemical, biological, and dynamic operational environments. The solution aims to enhance situational awareness and decision-making by simplifying information integration through an intuitive, user-centric design.