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The GLCPC is seeking innovative proposals that fall into four categories: Scaling studies: The scaling of codes which will operate efficiently on large numbers of parallel processors presents a number of challenges.  Therefore, projects of particular interest include those that optimize and/or scale community codes to very large scales. Examples include scaling of multilevel parallel applications (MPI+OpenMP), accelerators (CUDA, OpenACC or OpenCL), I/O and Data intensive applications, or novel communication topologies.  Multi-GLCPC-institutional projects addressing focused scientific projects. An example might be a Great Lakes Ecosystems Modeling initiative (Digital Great Lakes). Proposals for applications well-suited for the BW system architecture. Proposals from non-traditional and underserved communities.  

This Funding Opportunity Announcement (FOA) solicits applications to develop web-accessible data archives to capture, store, and curate data related to BRAIN Initiative activities. The data archives will work with the research community to incorporate tools that allow users to analyze and visualize the data, but the creation of such tools is not part of this FOA. The data archives will use appropriate standards to describe the data, but the creation of such standards is not part of this FOA. A goal of this program is to advance research by creating a community resource data archive with appropriate standards and summary information that is broadly available and accessible to the research community for furthering research.

The solar and heliospheric research communities are dedicated to promoting enhanced understanding of, and predictive capabilities for, solar disturbances that propagate to the Earth. Broad-based, grass-roots associations such as SHINE have developed to focus community effort on these scientific questions. Proposals are solicited for research directly related to topics under consideration and discussion at community workshops organized by SHINE. Information on the current activities of SHINE may be found at the following web site: http://www.shinecon.org

The Department of Energy's (DOE) Office of Advanced Scientific Computing Research (ASCR) announces its interest in receiving applications to explore of the suitability of various implementations of quantum computing hardware for science applications. This foundational research will facilitate the development of device architectures well-suited for scientific applications of quantum computing and improve our understanding of the advantages and limitations of various approaches to quantum computing for science applications. The purpose of this FOA is to invite applications for foundational research in the following two areas: 1. Exploring the relationship between device architecture and application performance 2. Developing meaningful metrics for evaluating the suitability of quantum computing hardware for science applications Applications may address one or both of these themes. Proposed research should focus on devices that are already available or that become available during the term of the award rather than large-scale, high-fidelity, fault-tolerant machines. Funded teams will be expected to collaborate externally with researchers working to develop applications and algorithms that can expand the frontiers of scientific discovery. Funded teams will also be expected to participate in community engagement activities that support the growth of an active, integrated research community committed to the common goal of developing quantum computing resources for advancing scientific discovery. Topics that are out of scope include: development and optimization of quantum algorithms; development of new candidate qubit systems; schemes based on qubits that have not yet demonstrated high-fidelity gates; schemes to improve the performance and functionality of qubits; quantum transduction; quantum communication, networking, and key distribution; cryptography and cryptanalysis; and logical qubits beyond considerations given to scaling to ~10 qubit devices.

The Human Cell Atlas (HCA) is a global effort to create a reference map of all cell types in the human body. The Chan Zuckerberg Initiative and the Helmsley Charitable Trust are pleased to announce continued support for the Human Cell Atlas by collaborating on two new funding mechanisms that the community can access through a single application portal. The Chan Zuckerberg Initiative seeks to continue the work of the HCA community with a focus on interdisciplinary work and collaboration through the formation of 3 year Seed Networks. The Helmsley Charitable Trust welcomes applications that will construct a detailed atlas of the human gut. Project Specifications This Request for Applications (RFA) seeks to support the continued growth of nascent projects and to incubate new networks. The Seed Networks should generate new tools, open source analysis methods, and significant contributions of diverse data types to the Human Cell Atlas Data Coordination Platform. Applications should have a primary focus on the healthy tissues that will contribute to a reference atlas. Seed Networks Seed Networks should consist of at least three principal investigators, including at least one computational biologist or software engineer, together with additional computational biologists, engineers, experimental biologists, and/or physicians. CZI Seed Networks aim to support foundational tools and resources for the HCA and will not require a gut component in the application. CZI Seed Network Grants have four overarching scientific goals: - Build and support networks of collaborating scientists and engineers; - Contribution of high-quality data to v1.0 of the HCA; - Development of new technologies and benchmark data sets, particularly those anchored in spatial as well as molecular information; - Support of computational biology within the Human Cell Atlas community.

Effective solutions will bring together cyberinfrastructure expertise and domain researchers, to ensure that the resulting cyberinfrastructure address researchers' data needs. The activities should address the data challenges arising in a disciplinary or cross-disciplinary context. (Throughout this solicitation, 'community' refers to a group of researchers interested in solving one or more linked scientific questions, while 'domains' and 'disciplines' refer to areas of expertise or application.) The projects should stimulate data-driven scientific discoveries and innovations, and address broad community needs, nationally and internationally.

Effective solutions will bring together cyberinfrastructure expertise and domain researchers, to ensure that the resulting cyberinfrastructure address researchers' data needs. The activities should address the data challenges arising in a disciplinary or cross-disciplinary context. (Throughout this solicitation, 'community' refers to a group of researchers interested in solving one or more linked scientific questions, while 'domains' and 'disciplines' refer to areas of expertise or application.) The projects should stimulate data-driven scientific discoveries and innovations, and address broad community needs, nationally and internationally.

Recent studies show nearly half of older adults will experience social isolation, which is linked to a broad range of negative physical and psychological outcomes that can be life threatening. Due to geographic isolation, limited access to reliable transportation, and reduced family/social networks as young people move to urban areas for employment, the problem disproportionally impacts older adults in rural areas. By providing older adults with stimulating, meaningful, and enjoyable activities, technology can enhance their sense of connection to family, friends and community, add to their overall quality of life, and help them live independently in their communities of choice. However, technology on its own cannot eliminate social isolation completely and must be combined with increased community engagement, human connectivity, and opportunities for rural residents of all ages to work together to promote healthy aging.

The International Research and education Network Connections (IRNC) Base program supports high-performance network connectivity required by international science and engineering research and education collaborations involving the NSF research community. High-performance network connections and infrastructure funded by this program are intended to support science and engineering research and education applications, and preference will be given to solutions that provide the best economy of scale and demonstrate the ability to support the largest communities of interest with the broadest services. Funded projects will assist the U.S. research and education community by enabling state-of-the-art international network services and access to increased collaboration and data services. NSF expects to make 3 to 10 awards in production R&E network infrastructure; 1 to 3 awards in international testbeds; and 1 award in Engagement.

1) to continue their ongoing regulatory NFIP responsibilities as well as support the ability of States, communities and the public and private sector to mitigate flood risk.The CTP Program seeks to enhance the existing capabilities of CTPs to increase local involvement in, and ownership of, the development and maintenance of flood risk data and products, such as the Flood Insurance Rate Maps (FIRMs) and other risk related products, as well as other support to advance the goals and objectives of the Risk Mapping Assessment and Planning (Risk MAP) program. Partnerships developed through FEMA's CTP Program are in the best interest of State and local communities, the NFIP and the public. CTPs may be able to perform activities related to program management, technical risk analysis and mapping, and communication of flood risk hazard data and information.

The Nation's advanced research cyberinfrastructure (CI) ecosystem catalyzes discovery and innovation across all areas of science and engineering (S&E) research and education. The increasingly complex and rapidly evolving S&E landscape requires an agile, integrated, robust, trustworthy, and sustainable CI ecosystem that will drive new thinking and transformative discoveries in all areas of research and education. The success of this vision depends on the ability of the research community to be able to easily and effectively access and use state-of-the-art research CI resources and services in a timely way. This, in turn, drives a set of requirements on the development, operation, and evolution of the CI ecosystem. First, research CI resources and services must be designed to leverage and drive innovations, and they must be user-centric and interoperable to enable the efficient, flexible end-to-end discovery pathways that are increasingly essential for the conduct of research. Second, the information, expertise, and services needed to maximally utilize the CI ecosystem must be disseminated broadly and concertedly to the research community. The NSF Cyberinfrastructure Centers of Excellence (CI CoE) Program aims to realize the above vision by supporting hubs of expertise and innovation targeting specific areas, aspects, or stakeholder communities of the research CI ecosystem.

Growing Convergence Research (GCR) at the National Science Foundation was identified as one of 10 Big Ideas. Convergence research is a means for solving vexing research problems, in particular, complex problems focusing on societal needs. It entails integrating knowledge, methods, and expertise from different disciplines and forming novel frameworks to catalyze scientific discovery and innovation. GCR identifies Convergence Research as having two primary characteristics: Research driven by a specific and compelling problem. Convergence Research is generally inspired by the need to address a specific challenge or opportunity, whether it arises from deep scientific questions or pressing societal needs. Deep integration across disciplines. As experts from different disciplines pursue common research challenges, their knowledge, theories, methods, data, research communities and languages become increasingly intermingled or integrated. New frameworks, paradigms or even disciplines can form sustained interactions across multiple communities. A distinct characteristic of convergence research, in contrast to other forms of multidisciplinary research, is that from the inception, the convergence paradigm intentionally brings together intellectually diverse researchers and stakeholders to frame the research questions, develop effective ways of communicating across disciplines and sectors, adopt common frameworks for their solution, and, when appropriate, develop a new scientific vocabulary. Research teams practicing convergence aim at developing sustainable relationships that may not only create solutions to the problem that engendered the collaboration, but also develop novel ways of framing related research questions and open new research vistas.

The RISA program supports the development of knowledge, expertise, and abilities of decision-makers to plan and prepare for climate variability and change. Through regionally-focused and interdisciplinary research and engagement teams, RISA builds and expands the Nation's capacity to adapt and become resilient to extreme weather events and climate change. RISA teams accomplish this through co-developed applied research and partnerships with public and private communities. A central tenet of the RISA program is that learning about climate adaptation and resilience is facilitated by and sustained across a wide range of experts, practitioners, and the public. As such, the RISA program supports a network of people, prioritizing wide participation in learning by doing, learning through adapting, and managing risk with uncertain information. Early decades of the program focused on understanding the use of climate information at regional scales (e.g., through experimental seasonal outlooks), improving predictions and scenarios, building capacity for drought early warning, and advancing the science of climate impact assessments. More recently, emphasis has shifted to address the growing urgency to advance approaches that tackle the complex societal issues surrounding adaptation planning, implementation, and building community resilience. To do so, RISA continues to prioritize collaborative approaches that incorporate multiple knowledge sources and integrate social, physical, and natural science, resulting in long-term support of and increased capacity for communities.

CISE's Division of Computing and Communication Foundations (CCF) supports research and education projects that develop new knowledge in three core programs: -The Algorithmic Foundations (AF) program; -The Communications and Information Foundations (CIF) program; -The Software and Hardware Foundations (SHF) program.

CISE's Division of Computing and Communication Foundations (CCF) supports research and education projects that develop new knowledge in three core programs: The Algorithmic Foundations (AF) program; The Communications and Information Foundations (CIF) program; and The Software and Hardware Foundations (SHF) program. Proposers are invited to submit proposals in three project classes, which are defined as follows: Small Projects - up to $500,000 total budget with durations up to three years; Medium Projects - $500,001 to $1,200,000 total budget with durations up to four years; and Large Projects - $1,200,001 to $3,000,000 total budget with durations up to five years.

CISE's Division of Computing and Communication Foundations (CCF) supports research and education projects that develop new knowledge in three core programs: The Algorithmic Foundations (AF) program; The Communications and Information Foundations (CIF) program; and The Software and Hardware Foundations (SHF) program.

CISE’s Division of Computing and Communication Foundations (CCF) supports research and education projects that develop new knowledge in four core programs: The Algorithmic Foundations (AF) program; The Communications and Information Foundations (CIF) program; The Foundations of Emerging Technologies (FET) program; and The Software and Hardware Foundations (SHF) program.

DARPA is soliciting innovative research proposals in the area of cryptographic and communication obfuscation techniques in order to build an anonymous, attack-resilient mobile communication system that can reside completely within a network environment.

CISE's Division of Computing and Communication Foundations (CCF) supports research and education projects that develop new knowledge in four core programs: The Algorithmic Foundations (AF) program; The Communications and Information Foundations (CIF) program; The Foundations of Emerging Technologies (FET) program; and The Software and Hardware Foundations (SHF) program.

Inclusion across the Nation of Communities of Learners of Underrepresented Discoverers in Engineering and Science (NSF INCLUDES) is a comprehensive national initiative designed to enhance U.S. leadership in science, technology, engineering and mathematics (STEM) discoveries and innovations focused on NSF's commitment to diversity, inclusion, and broadening participation in these fields. The initiative is developing a National Network composed of NSF INCLUDES Design and Development Launch Pilots, NSF INCLUDES Alliances, NSF-funded broadening participation projects, other relevant NSF-funded projects, scholars engaged in broadening participation research, and other organizations that support the development of talent from all sectors of society to build the STEM workforce. To facilitate the Network's operation, the program is soliciting proposals for a NSF INCLUDES Coordination Hub that will drive and support the work of the NSF INCLUDES National Network over the lifecycle of the initiative by: (a) promoting the NSF INCLUDES guiding vision and strategy; (b) developing a collaborative infrastructure to support the activities of the various entities partnering in the NSF INCLUDES National Network; (c) fostering progress among Network partners toward shared models, measurement practices, and evaluation criteria; (d) communicating the discoveries of and generating enthusiasm for the NSF INCLUDES National Network; and (e) advancing the expansion and scale of the NSF INCLUDES National Network by connecting expertise from multiple sectors and other private and public funders.

CISE's Division of Computing and Communication Foundations (CCF) supports research and education projects that develop new knowledge in three core programs: The Algorithmic Foundations (AF) program; The Communications and Information Foundations (CIF) program; and The Software and Hardware Foundations (SHF) program. Proposers are invited to submit proposals in three project classes, which are defined as follows: Small Projects - up to $500,000 total budget with durations up to three years; Medium Projects - $500,001 to $1,200,000 total budget with durations up to four years; and Large Projects - $1,200,001 to $3,000,000 total budget with durations up to five years.