NSF's Directorate for Computer and Information Science and Engineering (CISE) initiated the National Network of Big Data Regional Innovation Hubs (BD Hubs) program in FY 2015 (NSF 15-562). Four Big Data Hubs (BD Hubs)-Midwest, Northeast, South, and West-were established, one in each of the four Census Regions of the United States[1]. The BD Hubs provide the ability to engage local or regional stakeholders, e.g., city, county, and state governments, local industry and non-profits, and regional academic institutions, in big data research, and permit a focus on regional issues. These collaborative activities and partnerships play a critical role in building and sustaining a successful national big data innovation ecosystem.

The HVSI funds and performs a range of hypersonic research tasks in support of the Department of Defense (DoD) High Performance Computing Modernization Program (HPCMP). HPCMP desires to improve computational simulations of hypersonic vehicles in support of DoD goals by accelerating the successful development of HPC software and hardware. The HVSI will be looking to improve computational simulation approaches including numerical methods, modeling approaches, and simulation of a variety of aerothermodynamic and propulsion aspects of hypersonic flight. Specific science and technology areas include turbulence, boundary layer transition, fluid-structure-thermal interactions, non-equilibrium chemistry, ablation, and combustion.

The Toyota Material Handling North America (TMHNA) University Research Program is a sponsored research program created to drive the next generation of technology for the material handling industry. The industry's end-to-end approach to provide complete solutions to customers that are smarter, more efficient and more effective has fueled this program. The mission is to encourage professors and researchers to apply their knowledge of engineering and technical fields, drawing synergies and collaboration between collegiate research and Toyota Material Handling North America.

The NSF 2026 Idea Machine is a competition to help set the U.S. agenda for fundamental research in science and engineering. Participants can earn prizes and receive public recognition by suggesting the pressing research questions that need to be answered in the coming decade, the next set of "Big Ideas" for future investment by the National Science Foundation (NSF). It's an opportunity for researchers, the public and other interested stakeholders to contribute to NSF's mission to support basic research and enable new discoveries that drive the U.S. economy, enhance national security and advance knowledge to sustain the country's global leadership in science and engineering.

The Department of Energy's (DOE) Office of Nuclear Energy (NE) conducts crosscutting nuclear energy research and development (R&D) and associated infrastructure support activities to develop innovative technologies that offer the promise of dramatically improved performance for advanced reactors and fuel cycle concepts while maximizing the impact of DOE resources.

The Department of Energy's (DOE) Office of Nuclear Energy (NE) conducts crosscutting nuclear energy research and development R&D) and associated infrastructure support activities to develop innovative technologies that offer the promise of dramatically improved performance for advanced reactors and fuel cycle concepts while maximizing the impact of DOE resources. The development of nuclear energy-related infrastructure and basic capabilities in the research community is necessary to promote R&D that supports nuclear science and engineering (NS&E), DOE-NE's mission, and the Nation's nuclear energy challenges. Accordingly, DOE intends to enable the education and training of nuclear scientists, engineers, and policy-makers in graduate and undergraduate study and two-year programs, as well as R&D that is relevant to the Department and the nuclear energy industry in general.

Chain Reaction Innovations (CRI) is a new two-year program for innovators focused on energy and science technologies. Through an annual call, four to six teams will be selected to join CRI. The goal of CRI is to give the nation's brightest energy and science innovators the best chance at success. The future depends on it.

The Tribal Colleges and Universities Program (TCUP) provides awards to Tribal Colleges and Universities, Alaska Native-serving institutions, and Native Hawaiian-serving institutions to promote high quality science (including sociology, psychology, anthropology, economics, statistics, and other social and behavioral sciences as well as natural sciences), technology, engineering and mathematics (STEM) education, research, and outreach. Support is available to TCUP-eligible institutions (see the Additional Eligibility subsection of Section IV of this solicitation) for transformative capacity-building projects through Instructional Capacity Excellence in TCUP Institutions (ICE-TI), Targeted STEM Infusion Projects (TSIP), TCU Enterprise Advancement Centers (TEA Centers), and Preparing for TCUP Implementation (Pre-TI). Collaborations that involve multiple institutions of higher education led by TCUP institutions are supported through Partnerships for Geoscience Education (PAGE) and Partnerships for Documentary Linguistics Education (PADLE). Finally, research studies that further the scholarly activity of individual faculty members are supported through Small Grants for Research (SGR) and Science Education Alliance Phage Hunters Advancing Genomics and Evolutionary Science in Tribal Colleges and Universities (SEA-PHAGES in TCUs). Through the opportunities highlighted above, as well as collaborations with other National Science Foundation (NSF) units and other organizations, TCUP aims to increase Native individuals' participation in STEM careers and improve the quality of STEM programs at TCUP-eligible institutions. TCUP strongly encourages the inclusion of activities that will benefit veterans.

The EFRI Program aims to focus the engineering community on important emerging areas in a timely manner. EFRI evaluates, recommends, and funds interdisciplinary initiatives at the emerging frontiers of engineering research and innovation. These transformative opportunities may lead to: new research directions; new industries or capabilities that result in a leadership position for the country; and/or significant progress on a recognized national or societal need, or grand challenge. The EFRI Program is the signature activity of the Office of Emerging Frontiers and Multidisciplinary Activities (EFMA) in the Directorate for Engineering. EFRI invests in high-risk multidisciplinary opportunities with high-potential payoff. Its role is to support research areas that would not fit within the scope of an existing program. These frontier ideas cannot be pursued by one researcher or within one field of expertise. They are "frontier" because they not only push the limits of knowledge of one field, but are actually at the convergence of multiple fields. The EFRI funding process is designed to both inspire and enable a group of researchers with diverse technical expertise to work together on a single frontier idea.

The Chan Zuckerberg Initiative (CZI) seeks to support up to 10 Imaging Scientists who will work at the interface of biology, microscopy hardware, and imaging software at imaging centers across the United States. "Imaging Scientists" might be engineers, physicists, mathematicians, computer scientists, or biologists who have focused on technology development in either microscopy or data analysis fields. The primary goal of the program is to increase interactions between biologists and technology experts. The Imaging Scientists will have expertise in microscopy hardware and/or imaging software. A successful "Imaging Program" will employ an Imaging Scientist who: a) works collaboratively with experimental biologists on projects at the imaging center; b) participates in courses that disseminate advanced microscopy methods and analysis; c) trains students and postdocs in imaging technology; d) participates in a network of CZI Imaging Scientists to identify needs and drive advances in the imaging field; e) attends twice-yearly CZI scientific workshops and meetings in imaging and adjacent biomedical areas. Each grant will fund salary and fringe benefits for an Imaging Scientist at the center, a modest travel and teaching budget, plus 15% indirect costs. The award period is three years plus an additional two years if the Imaging Program passes a review at year three.

NineSigma, representing a leading automobile parts manufacturer, seeks a partner for the development of smart window technology that can be applied to transparent resin panels used for next generation mobility. Specifically, a partner with technology for adjusting the amount of visible light to be transmitted through transparent resin panels freely responding to needs, or transparent display technology of displayable only when required. The Client is willing to provide its own know-how and development resources for potential partners.

NineSigma, on behalf of a North American lumber consortium, invites proposals for innovative sensors and systems that can rapidly and accurately quantify the moisture found in the cambium layer area of logs being processed.

NineSigma, on behalf of a multi-billion dollar North American production company, invites proposals for automated technology for the mixing, processing & portioning of powder/liquid slurry

NineSigma, representing a global metal engineering company, invites proposals for a novel, top-down real-time analysis of molten steel in a metallurgical reactor.

NineSigma, representing a global metal engineering company invites responses from experts, SMEs or organisations for technologies or materials to provide an Open 3D Surface Structure for a (coated) Copper Mold.

AFRL Information Directorate's Autonomy Command & Control Core Technical Competency (AC2 CTC) is seeking innovative approaches to the overall goal of Mastering the Complexity of Commanding and Controlling Multi-Domain operations. This goal has two distinct parts. The first is reducing the complexity that airmen must endure as a result of the myriad of complex systems of systems used in order to create multi-domain plans and subsequent orders. The desired effect of this reduction in complexity is the reduction of uncertainty in planning operations and an associated increase in operations ops tempo. The second part of this goal is the imposition of complexity on an adversary that comes with developing synchronized and orchestrated effects through the use of assets from multiple domains.

The technical objectives of this BAA are to research innovative, disruptive technologies and methods in Measurement and Signatures Intelligence Exploitation (MASINT-X). The MASINT-X BAA seeks significant advances in the exploitation and reporting of six MASINT sub-disciplines.

The U.S. Army Armament Research Development, and Engineering Center (ARDEC) intends to issue a Request for Prototype Proposal (RPP) for Autonomous Unmanned Aerial Systems (UAS) program of record under the Ground Vehicle Systems Other Transaction Agreement (GVS OTA)

The NIST Public Safety Innovation Accelerator Program is seeking applications from organizations with significant geospatial expertise and experience working with public safety to conduct activities that will allow first responders to rapidly and successfully incorporate new and emerging indoor mapping, tracking, navigation, and location-based services capabilities into their day-to-day operations.

The Defense Advanced Research Projects Agency (DARPA) is issuing an Artificial Intelligence Exploration (AIE) Opportunity, inviting submissions of innovative basic or applied research concepts in the technical domain of automated knowledge discovery, curation, and application. This AIE Opportunity is being issued under the Program Announcement for AIE, DARPA-PA-18-02. All proposals in response to the Automating Scientific Knowledge Extraction (ASKE) opportunity, as described herein, will be submitted to DARPA-PA-18-02-01. If selected, it will result in an award of an Other Transaction (OT) for Prototype agreement that will not exceed $1,000,000.