Announcements
Upcoming opportunities, insights, and programming from the Research Development Office are highlighted in the biweekly RD Newsletter and presented here in an expanded form. Check this Announcements page and our @UMDResearch X (Twitter) account for regular updates. Sign up for the newsletter below or view past RD Newsletters at the bottom of this page.
Events
UMB ICTR T32 Training Program Information Sessions:
PRE-doctoral Date & Time: January 29 | 4pm via Zoom
POST-doctoral Date & Time: January 29 | 4:30pm via Zoom
Supports the training of biomedical, behavioral, and clinical researchers through individual clinical research training
Hanover Research | Major Changes for Grant Seekers
Date & Time: January 30 | 12pm via Zoom
Will cover the key considerations for faculty planning to submit to NIH after January 2025, including the simplified review process for most research project grants, changes to the fellowship application, and more.
On The Horizon
The UMD Research Development Office, RD Capture Director, and Strategic Intelligence Analyst support our faculty by providing pre-competition intelligence with recommended actions and support.
Did You Know
Proactively engaging with new government program managers can significantly enhance your research visibility and funding opportunities. By presenting your technologies using a quad chart, you can effectively communicate your innovations and their potential impact. Schedule a time with Patrick M. Mendez, UMD’s Research Development Capture Director, to discuss your technology and identify potential federal customers who might align with your research interests. Let's collaborate to bring your research to the forefront!
New and Upcoming Programs
Defense Advanced Research Projects Agency (DARPA)
New Programs
- DARPA-PS-25-05: Expedited Research Implementation Series (ERIS)
DARPA and the Applied Research Institute (ARI) are initiating a long-term, open call for new and novel technology solutions to support DARPA in advancing research, development, prototyping, experimentation, and adoption of disruptive, DARPA-relevant research and technology solutions. Specifically, DARPA seeks to obtain solutions or capabilities that deliver breakthrough technological advancements that are new as of the date of submission or technologies, processes, research, or methods that represent a new application as of the date of submission. ERIS will accept video pitch submissions (up to 7 minutes) and supporting documents up until 30 May 2025 on an ongoing basis. Submissions will be collated and assessed monthly. Pitches are to focus on one or more of the strategic focus areas, which are expected to evolve over time.Current Strategic Focus Areas: detecting and tracking elusive objects of interest across air, land and space domains; overcoming limitations of current sensing systems (size, weight, power and cost (SWAP-C); performance); developing advanced antenna technologies for improved performance and reduced size. Submissions are accepted continuously from December 9, 2024, to May 30, 2025, with monthly assessments and feedback provided within 30 days of each collection period.
Our Department of Electrical and Computer Engineering, Department of Computer Science, Photonics Research Laboratory, and Institute for Research in Electronics and Applied Physics, along with researchers specializing in remote sensing, antenna technology, and sensor systems, may find this program highly relevant. The focus on detecting and tracking elusive objects across various domains, enhancing sensing systems, and developing advanced antenna technologies aligns closely with our expertise in integrated optics, nanophotonic devices, and networked sensing systems. - DARPA-EA-25-02-02: Hybridizing Biology and Robotics through Integration for Deployable Systems (HyBRIDS)
This new program seeks seeks innovative research concepts in biohybrid robotics. The program's objective is to integrate biological components—such as cells, tissues, or organisms—with synthetic systems to create biohybrid robots that surpass the capabilities of traditional robotic platforms. Key technical challenges include: Integrating biological components into robotic platforms: Developing methods to incorporate and modify biological materials to enhance system integration and performance; Designing robust methods for combining biological and synthetic materials; Creating advanced computational approaches to analyze and predict interactions between system-level and component-level properties; Establishing and characterizing interfaces: Developing techniques to measure and ensure resilient, multidirectional interfaces that facilitate the transmission of information, energy, load, and materials; Overcoming deployment obstacles: Implementing strategies to maintain the operational integrity of biological components in real-world environments. The program encourages bold, paradigm-shifting ideas that quantitatively explore emerging approaches in biohybrid robotics design, aiming for practical applications in complex environments. Proposals should address ethical, legal, and societal implications, and are expected to be completed within 12 months with a budget ranging from $100,000 to $300,000.
Our Maryland Robotics Center, departments such as Aerospace Engineering, Mechanical Engineering, Electrical and Computer Engineering, and Bioengineering, along with the Collaborative Controls and Robotics Laboratory, and researchers specializing in bio-inspired robotics, soft robotics, and autonomous systems, may find the HyBRIDS program highly relevant. The program's focus on integrating biological and synthetic components to develop deployable biohybrid robotic systems aligns closely with our expertise in bio-inspired design, adaptive control, and multifunctional materials. - DARPA-EA-25-01: eX Virentia (eXVi) Phase 0
New program aims to assess the potential of unmodified vegetation as sensors to detect and characterize chemical exposures in operational environments. The program focuses on understanding vegetation responses, including physical, biochemical, and spectral changes, to chemical stressors, with an emphasis on remote sensing capabilities at close range (<3 meters). Researchers are encouraged to develop multidisciplinary approaches, leveraging metabolomics, proteomics, imaging spectroscopy, and predictive modeling to analyze plant responses. The program aims to validate whether plant responses are observable, predictable, distinct, and scalable across species and environments, providing novel methods to assess chemical exposure impacts. Respondents are invited to propose innovative frameworks for integrated data collection and analysis while addressing the challenges of biological, ecological, and environmental variability.
Our Department of Environmental Science and Technology, the Plant Science and Landscape Architecture Department, and the Earth System Science Interdisciplinary Center (ESSIC), as well as researchers working in plant physiology, remote sensing, environmental stress responses, metabolomics, and predictive modeling would find this program highly relevant. The emphasis on integrating advanced sensing technologies, such as imaging spectroscopy and high-dimensional feature classification, resonates with UMD’s strengths in environmental monitoring, ecological data analysis, and the development of innovative sensing methods for ecological and environmental applications.
Upcoming Programs
- DARPA-SN-25-33: The Right Space (TRS)
This upcoming program aims to develop new mathematical and computational methods for systematically discovering transformations that simplify complex modeling problems. By leveraging advances in Scientific Machine Learning, TRS seeks to identify insightful representations that enhance the efficiency, speed, and interpretability of solutions to Department of Defense-relevant challenges. The program also intends to analyze the limitations of these transformations to ensure their effective application across various domains.
Our Department of Mathematics, Center for Scientific Computation and Mathematical Modeling (CSCAMM), and Center for Machine Learning, along with researchers specializing in mathematical modeling, scientific machine learning, and computational methods, may find the TRS program highly relevant. The initiative's focus on developing new mathematical and computational methods to discover transformations that simplify complex modeling problems aligns closely with our expertise in advancing mathematical theory, machine learning applications, and interdisciplinary computational research. (In the program development stage with DSO PM Dr. Yannis Kevrekidis)
Upcoming Proposer’s Day
A Proposer’s Day is an event held by government agencies or organizations to share information about upcoming opportunities, answer questions, and engage potential collaborators, contractors, or researchers. It fosters better understanding of requirements, encourages networking, and ultimately improves the quality of submitted proposals.
- DARPA-SN-25-29: Intrinsically Tough and Affordable Ceramics Today (INTACT)
This upcoming program aims to develop innovative methods for creating tough, monolithic ceramic materials with the ductile characteristics of metals. By leveraging nonequilibrium processing techniques such as laser or electron beam treatments, INTACT seeks to engineer atomic-scale defects like vacancies, dislocations, and grain boundaries to enable fine-scale plastic deformation. These advancements aim to significantly increase the fracture toughness of ceramics while maintaining their strength, stiffness, and high-temperature performance, making them suitable for structural applications across DoD platforms such as airframes, turbine disks, and ground vehicles.
Our Department of Materials Science and Engineering, Aerospace Engineering Department, Maryland Energy Innovation Institute (MEI2), and Composites Research Laboratory or researchers specializing in advanced ceramics, high-temperature materials, structural engineering, and non-equilibrium processing methods may find this program highly relevant. The INTACT program’s focus on engineering atomic-scale defects to enhance the toughness and ductility of ceramics aligns closely with our expertise in materials characterization, additive manufacturing, and advanced fabrication techniques. The program’s emphasis on developing robust ceramics for DoD platforms, including airframes and turbine components, resonates with our ongoing research aimed at innovating durable materials for extreme environments. (Register before 1/14/25 at 4:00pm (EST); DSO PM Dr. Andrew Detor) - DARPA-SN-25-24: Microsystem Induced CAtalysis (MICA)
This upcoming program aims to develop advanced microsystems that modulate molecular catalyst activity, emphasizing biomolecular catalysts. The program seeks to demonstrate hardware where molecular catalysts are immobilized on microsystem surfaces and controlled by physical forces generated by the microsystem. It also focuses on high-accuracy modeling and simulation of such integrated systems. A key objective is the precise placement and robust attachment of catalytic molecules to microsystems, enabling reaction cascades for applications like new material synthesis or therapeutic interventions. The program encourages compatibility with standard microelectronics manufacturing processes.
Our Department of Bioengineering, Department of Chemical and Biomolecular Engineering, Institute for Bioscience and Biotechnology Research (IBBR), and Maryland NanoCenter, along with researchers specializing in microsystem design, biomolecular catalysis, molecular modeling, and simulation technologies, may find the MICA program highly relevant. The program's emphasis on integrating molecular catalysts with microsystems and leveraging physical forces for precise control aligns closely with our expertise in bioengineering, nanoscale systems, and advanced computational modeling for biological and chemical processes. A Proposers Day is scheduled for January 23, 2025, at Booz Allen Hamilton in McLean, VA. (Register before 1/15/2025; MTO PM Dr. Todd Bauer) - DARPA-SN-25-30: Robust Quantum Sensors (RoQS)
This upcoming program aims to develop quantum sensors that maintain high performance on moving DoD platforms by overcoming challenges such as electric and magnetic field interference and system vibrations. The program seeks to transition these sensors onto military platforms to enhance capabilities in areas like positioning, navigation, timing, and intelligence, surveillance, and reconnaissance.
Our Department of Physics, Department of Electrical and Computer Engineering, Joint Quantum Institute, and Quantum Technology Center, along with researchers specializing in quantum sensing, quantum information science, and quantum device engineering, may find the Robust Quantum Sensors (RoQS) program highly relevant. The focus on developing quantum sensors resilient to performance degradation in dynamic environments aligns closely with our expertise in advancing quantum technologies for practical applications. (Register before 1/24/2025)
Air Force
New Program
- FA8650-23-S-1031: Resilient Open & Agile Avionics System & Technology Development (ROAASTD)
This new program s a long-term initiative to develop advanced avionics systems that are resilient, agile, and adhere to open systems standards. The program seeks to counter evolving global threats by rapidly integrating innovative sensor and mission system technologies, ensuring that the Air Force maintains superiority in future contested environments. The ROAASTD program prioritizes the development of modular and adaptable avionics systems capable of withstanding and responding to sophisticated adversarial tactics. By leveraging cutting-edge advancements, the program aims to reduce development cycles and enable technologies to be rapidly fielded for operational use. The initiative supports the Air Force's strategic objectives by fostering systems capable of dominating time, space, and complexity in dynamic and unpredictable conflict scenarios.
Our Department of Electrical and Computer Engineering, Aerospace Engineering Department, ISR (Institute for Systems Research), and ARLIS or researchers specializing in avionics, systems engineering, spectrum warfare, and modular open systems may find this program highly relevant. The ROAASTD program’s focus on developing resilient, agile, and open-standard avionics systems aligns closely with our expertise in advanced sensor integration, cybersecurity for aerospace platforms, and rapid technology prototyping for contested environments. The program’s emphasis on enabling rapid fielding of innovative technologies to address evolving global threats resonates with our mission to advance cutting-edge research for national defense applications.(Pre white paper engagement with TPOC Erin Duffley is highly encouraged)
Department of Energy
New Program
- SC, FES, DE-FOA-0003516: Private Facility Research Program
This new programaims to accelerate the development of fusion energy by leveraging private-sector advancements in fusion technology. The program facilitates collaboration between public-sector researchers and cutting-edge experimental facilities operated by private fusion companies. Through its two primary award categories—Public Research Awards and Data Mirroring Awards—the PFR Program supports foundational research and ensures data accessibility to advance the scientific understanding and technical readiness of fusion energy systems. Public Research Awards include opportunities for comprehensive research using existing private experimental platforms and for developing novel diagnostic tools tailored for plasma measurement and fusion-specific environments. The Data Mirroring Awards focus on preserving and sharing data from private fusion experiments via public repositories, fostering transparency and enhancing scientific collaboration. Key research areas under the program include plasma confinement, turbulence dynamics, advanced diagnostics, and hardware integration, all aimed at addressing critical gaps necessary for achieving Fusion Pilot Plants (FPPs). By bridging the strengths of public research expertise with private-sector innovation, the PFR Program emphasizes open collaboration, data accessibility, and diagnostic integration to accelerate progress toward commercial fusion energy, aligning with DOE’s broader energy and environmental priorities.
Our Department of Physics, Department of Mechanical Engineering, Institute for Research in Electronics and Applied Physics (IREAP), and the Maryland Energy Innovation Institute (MEI2), or researchers working on plasma physics, advanced diagnostics, fusion energy systems, and high-energy-density science, may find this program highly relevant. The focus on leveraging private-sector fusion facilities for foundational research, developing advanced diagnostic tools, and ensuring data accessibility aligns closely with our expertise in plasma confinement, turbulence modeling, diagnostic innovation, and hardware integration for fusion energy development. This program’s emphasis on collaboration between public and private sectors to address critical gaps toward achieving Fusion Pilot Plants complements UMD’s strengths in experimental and theoretical fusion science. (2/19/25 pre-application deadline). - CESER, DE-FOA-0003501: Next Generation of Academia-Based Cyber Research, Development, and Demonstration (RD&D)
This program emphasizes the importance of academic partnerships to drive innovation and technology transfer, leveraging the expertise of universities, national labs, and utility operators. It focuses on creating and validating advanced cybersecurity tools, processes, and frameworks tailored for operational technology (OT) environments. Key technical objectives include: Development and deployment of real-time cybersecurity analytics capable of detecting, mitigating, and adapting to evolving threats; Integration of advanced sensing technologies and machine learning models for threat identification and resilience planning; Validation of tools in high-fidelity testbeds or live operational environments to ensure scalability and effectiveness in mitigating threats to critical infrastructure. The program also stresses multidisciplinary collaboration, bringing together expertise from power systems, computer science, and operational physics to address the sector's most pressing vulnerabilities. Research outputs are expected to provide scalable, cost-effective solutions that can be broadly adopted across the energy sector to enhance cybersecurity resilience against national security threats.
Our Department of Electrical and Computer Engineering, MC2, , and ISR,, or researchers working on operational technology (OT) cybersecurity, machine learning for real-time threat detection, and resilience planning in critical infrastructure may find this program highly relevant. The focus on developing and deploying advanced cybersecurity analytics, integrating sensing technologies, and validating tools in operational environments aligns closely with our expertise in cyber-physical systems security, scalable technology solutions, and interdisciplinary collaboration for enhancing the cybersecurity resilience of the energy sector. - SC, BER - DE-FOA-0003453: Systems Biology Research to Advance Bioenergy Crop Production
This new program aims to advance systems-level research to uncover the molecular mechanisms that drive bioenergy feedstock productivity, particularly under changing and suboptimal environmental conditions. By leveraging systems biology approaches, the program also seeks to explore the roles of microbes and microbial communities—such as rhizosphere consortia, including bacteria, fungi, diazotrophs, endophytes, and viruses—in enhancing plant productivity and resilience.
Our Department of Plant Science and Landscape Architecture, Department of Cell Biology and Molecular Genetics, IBBR, and the ESSIC or researchers specializing in systems biology, plant-microbe interactions, bioenergy feedstock development, and environmental resilience may find this program highly relevant. The focus on uncovering molecular mechanisms driving productivity and exploring microbial community roles in enhancing plant resilience aligns closely with our expertise in sustainable agriculture, microbial ecology, and advanced biological systems modeling. (1/17/25 pre-application due date)
Upcoming Programs
- MESC, DE-FOA-0003546: BIL Battery Materials Processing and Battery Manufacturing
MESC intends to reissue the "Bipartisan Infrastructure Law Battery Materials Processing and Battery Manufacturing" funding opportunity to address gaps in the domestic battery supply chain. With $725 million available, the program will support 3–14 awards, each ranging from $50 million to $200 million, over 24–60 months. The program focuses on critical areas such as cathode and anode material manufacturing, electrolyte and electrolyte salt production, and pre-industrial-scale cell manufacturing. Additional areas include open topics in materials processing and advanced manufacturing, such as precursors, catalysts, separators, and conductive additives. The initiative emphasizes circularity, secure sourcing, and market stabilization, aiming to reduce reliance on foreign entities and promote energy independence. Applications must prioritize U.S.-based processing and manufacturing, leveraging innovative technologies and addressing pre-production validation for commercial scalability. Facilities must demonstrate clear pathways for producing battery-grade materials, reducing costs, and supporting downstream domestic customers.
Our Department of Materials Science and Engineering, Department of Chemical and Biomolecular Engineering, Institute for Research in Electronics and Applied Physics (IREAP), and the Maryland Energy Innovation Institute may find this program highly relevant. The focus on enhancing the U.S. battery supply chain through investments in cathode and anode material production, electrolyte manufacturing, and advanced battery processing technologies aligns closely with our expertise in energy materials research, advanced manufacturing, and sustainable energy systems. This initiative also complements ongoing work in battery-grade material development, recycling, and scalability for domestic energy independence and resilient infrastructure. (MESC anticipates a March 2025 FOA release date)
National Geospatial-Intelligence Agency (NGA)
New Program
- HM047623BAA0001: Boosting Innovative GEOINT - Science & Technology Broad Agency Announcement (BIG-ST BAA)
The BIG-ST BAA focuses on advancing geospatial intelligence (GEOINT) to support U.S. national security. This program seeks to address hard defense and intelligence challenges across three primary technical domains: Foundational GEOINT, Advanced Phenomenologies, and Analytic Technologies. Foundational GEOINT: This domain aims to create highly accurate, continually updated representations of the Earth’s properties. Key research areas include terrestrial and celestial reference frames, earth gravitational and magnetic models, assured positioning, navigation, and timing (PNT), feature extraction and classification, and human geography and environmental models. The goal is to provide robust and high-resolution geospatial data for operational decision-making. Advanced Phenomenologies: This domain focuses on developing novel methods to generate and exploit spatially, spectrally, and temporally resolved data. Topics of interest include detecting and tracking challenging targets in complex environments, optimizing novel sensing technologies, real-time data processing, space situational awareness, and error propagation modeling. These innovations aim to enhance the design and functionality of sensing systems and improve multi-domain data aggregation. Analytic Technologies: This domain enhances the utility of GEOINT by leveraging emerging data sources and developing advanced analytic techniques. Areas of focus include automated target recognition, geospatial signature detection, event forecasting and prediction, artificial intelligence, natural language processing, and immersive visualization tools. These technologies aim to integrate geospatial intelligence with other intelligence streams to address emerging threats and modernize analytic workflows. The program supports research across a range of maturity levels (TRL 1–7), from basic research to prototype development, and encourages innovative approaches to drive disruptive GEOINT capabilities. It invites proposals tailored to specific topic calls within these domains, emphasizing scalability, reliability, and operational impact. This initiative will strengthen NGA’s ability to deliver cutting-edge geospatial solutions for defense and intelligence applications.
Our Department of Geographical Sciences, Department of Computer Science, and Institute for Advanced Computer Studies (UMIACS), along with researchers at the Earth System Science Interdisciplinary Center (ESSIC) and the Center for Geospatial Information Science, may find the BIG-ST program highly relevant. The program’s focus on foundational geospatial intelligence, advanced data phenomenologies, and analytic technologies aligns closely with expertise in geospatial data modeling, remote sensing, AI-driven geospatial analysis, and environmental and human geography. Researchers working on areas such as geospatial data fusion, earth system modeling, human-environment interaction, and advanced computational methods for geospatial analytics could significantly contribute to and benefit from the program’s emphasis on solving complex GEOINT challenges in support of national security.
Advanced Research Projects Agency - Health (ARPA-H)
New Programs
- ARPA-H PROSPR - PROactive Solutions for Prolonging Resilience
The PROSPR program aims to revolutionize aging and healthspan science by extending healthy living by 20 years. It focuses on predicting and mitigating age-induced health declines through three Technical Areas (TAs): developing a comprehensive intrinsic capacity (IC) score combining physiological and biochemical measures for long-term health predictions, repurposing FDA-approved drugs to improve healthspan, and advancing second-generation interventions targeting aging mechanisms. The program addresses barriers like high clinical trial costs, a lack of validated surrogate endpoints, and limited focus on early intervention, utilizing a blend of decentralized trials, novel technologies, and data-driven approaches. Emphasizing affordability and accessibility, PROSPR seeks to standardize surrogate biomarkers, enable rapid therapeutic testing, and foster a preventive, personalized geriatric care model.
Our researchers across departments such as Kinesiology, Public Health, Biomedical Engineering, and Computer Science, as well as the Maryland Robotics Center, IHC and ISR may find this program of interest. The program's emphasis on equity and accessibility resonates with our community engagement initiatives and health equity research. (Hybrid Proposer’s Day on January 24. Register by January 22. Solution Summary Due February 10, 2025.) - ARPA-H-SOL-25-118: Emerging Health Innovators (EHI) Initiative
The EHI initiative aims to accelerate transformative solutions in health by leveraging advanced technologies and community-driven approaches. It encompasses two complementary tracks: Technology-Driven Innovation (Track 1): This track targets early-career researchers and innovators in academia, industry, and nonprofit sectors. The focus is on advancing health technologies across areas like infectious disease prevention, advanced diagnostics, personalized therapeutics, and data-driven healthcare interventions. Projects under this track are expected to employ cutting-edge methodologies such as machine learning, high-throughput screening, bioinformatics, or novel biomaterials. The goal is to address critical gaps in healthcare by developing scalable and cost-effective solutions. Community-Centered Innovation (Track 2): This track prioritizes the involvement of community-based organizations (CBOs) and local health systems. It aims to create tailored solutions that directly address public health challenges at the community level. Examples include implementing advanced environmental monitoring systems for better asthma management, improving maternal health through localized interventions, or creating personalized care models for underserved populations. Projects are expected to integrate community feedback and leverage local data to design culturally sensitive, impactful solutions.
Our Department of Public Health, Department of Epidemiology and Biostatistics, Institute for Advanced Computer Studies, and Center for Health-Related Informatics and Bioimaging, or researchers working on community-centered health interventions, data-driven public health analytics, advanced diagnostic technologies, and personalized healthcare delivery may find the Emerging Health Innovators (EHI) program highly relevant. The program’s emphasis on leveraging advanced technologies such as machine learning, bioinformatics, and high-throughput screening, combined with its focus on community-based solutions addressing systemic health inequities, aligns closely with our expertise in translational health research, health technology development, and public health outreach to underserved populations. - ARPA-H RAPID - Rare Disease AI/ML for Precision Integrated Diagnostics
The RAPID programaims to revolutionize the diagnosis of rare diseases, which currently impacts over 350 million people globally. This ambitious 4.5-year initiative is structured into multiple phases and technical areas, including aggregating large-scale rare disease datasets, developing multimodal diagnostic indicators, and creating a sustainable AI/ML-enabled Rare Disease Data Commons. By leveraging advanced analytic techniques and harmonizing fragmented data, RAPID seeks to cut diagnostic delays by over 50%, enhance diagnostic precision, and improve accessibility for underserved populations. The program emphasizes equitable access to cutting-edge tools, ensures patient engagement through partnerships with advocacy organizations, and fosters collaborations to optimize outcomes for clinical trials and biomarker discovery. Ultimately, RAPID aims to transform the landscape of rare disease diagnosis, significantly reducing misdiagnoses and accelerating therapeutic development, while adhering to open data-sharing principles to benefit the broader healthcare ecosystem.
Our researchers in the Department of Computer Science, IBBR, UMIACS, and Institute for Health Computing (UM-IHC) as well as researchers specializing in artificial intelligence, machine learning, biomedical data integration, and precision medicine may find this program particularly relevant. The program’s focus on developing AI/ML-enabled diagnostic tools, aggregating multimodal datasets, and improving health equity aligns with expertise in computational biology, health informatics, and translational medicine. Additionally, its emphasis on rare disease biomarker discovery and accelerating therapeutic pathways resonates with labs focused on genomic research, biomarker validation, and health disparities, offering significant opportunities for interdisciplinary collaborations across UMD's computational and life sciences communities. (Hybrid Proposers' Day on January 23, 2025. Register by January 21. Solution Summary due February 21, 2025.)
Requests for Information (RFIs): RFIs offer guidance to the federal government on specific areas of interest. Researchers can respond to RFIs to influence policy decisions and shape future funding calls. For questions or support on RFIs, please contact Patrick M. Mendez. RFI due dates are noted in parentheses.
- NSF RFC on revisions to the infrastructure guide (1/17)
- NSF RFC on intellectual property provisions for public-private partnerships (1/24)
- DARPA RFI on OT for Non-Traditional Defense Contractors (1/31)
- DoE RFI on Frontiers in AI for Science, Security, and Technology (FASST) (2/17)
- NRC RFC on regulatory framework for advanced reactors (2/28)