Group items tagged

The Acquisition Research Program (ARP) (www.acquisitionresearch.net) conducts and supports research in academic disciplines that bear on public procurement policy and management. These include economics, finance, financial management, information systems, organization theory, operations management, human resources management, risk management, and marketing, as well as the traditional public procurement areas such as contracting, program/project management, logistics, test and evaluation and systems engineering management. The ARP is interested in innovative proposals that will provide unclassified and non-proprietary findings suitable for publication in open scholarly literature. Studies of government processes, systems, or policies should also expand the body of knowledge and theory of processes, systems, or policies outside the government. The following research areas are of special interest: Leading-edge techniques in data collection, management, visual analytics and decision-making; Robust risk modeling techniques; Performance metrics and methodologies; Collaboration and cross-functional teams; and, Model-Based Acquisition. Offerors bear prime responsibility for the design, management, direction and conduct of research. Researchers should exercise judgment and original thought toward attaining the goals within broad parameters of the research areas proposed and the resources provided. Offerors are encouraged to be creative in the selection of the technical and management processes and approaches and consider the greatest and broadest impact possible.

The Office of Advanced Scientific Computing Research (ASCR) in the Office of Science (SC), U.S. Department of Energy (DOE), hereby invites applications for basic research that significantly advances management, analysis and visualization of data in disciplines supported by DOE in the context of emerging architectures for extreme scale computing platforms. The purpose of this announcement is to invite applications for basic computer science research on five major themes: 1. Usability and user interface design; 2. In situ methods for data management, analysis and visualization; 3. Design of in situ workflows to support data management, processing, analysis and visualization; 4. New approaches to scalable interactive visual analytic environments; and/or 5. Proxy applications or workflows and/or simulations for data management, analysis and visualization software to support co-design of extreme scale systems. The supported research will lay the foundation for building the software infrastructure to support scientific data management, analysis and visualization in the context of extreme scale computing.

The purpose of this Limited Competition is to extend the Cure Glomerulonephropathy (CureGN) Network by continuing to support the Data Coordinating Center (DCC). The CureGN Network is a multicenter observational cohort study of glomerular disease patients with the goal of improving care for all glomerular disease patients. The operational components of the study include four multi-site Participating Clinical Centers (PCC) and a DCC. The CureGN Network, established in 2013, has recruited nearly 2,200 of 2,400 planned study participants and followed them with annual in-person clinic visits and interim telephone contacts. The DCC provides key leadership functions for this study in the areas of study organization, study design and implementation, overall management, data management and analysis, and biosample management. The CureGN PCCs will continue to follow-up previously enrolled participants under a separate FOA with a focus on clinical assessment of disease activity, developing novel methods for "virtual" study participation,and semi-quantitative assessment of histopathologic lesions. It is expected that a focus on disease features unique to glomerulonephropathy and outcomes relevant to the full range of patient experience, combined with carefully curated clinical and biochemical data, will uncover new predictors of the disease course, pathophysiologic processes, disease subtypes and novel treatment targets. The DCC will lead the study group to achieve the scientific goals of the next project period.

NIST is soliciting applications from eligible institutions of higher education in the U.S. and its territories that offer two- or four- year degrees in academic science, technology, engineering and mathematics (STEM) disciplines, which include but are not limited to biochemistry, biological sciences, chemistry, computer science, engineering, electronics, materials science, mathematics, nanoscale science, neutron science, physical sciences, physics, and statistics, to establish and manage a program to support collaborative research relationships among NIST staff, undergraduate and graduate students, individuals with bachelor's or master's degrees, post-doctoral fellows, and academic affiliates, and the PREP researchers' academic institutions. These collaborative relationships will include research opportunities at the relevant NIST campuses in Boulder, Colorado (CO) (PREP Boulder), or Gaithersburg, Maryland (MD), and/or Charleston, South Carolina (SC) (PREP Gaithersburg). Eligible applicants may apply to establish and manage a PREP Boulder program or a PREP Gaithersburg program or may apply to establish and manage programs for both.

In cooperation with NSF and within available resources, the proposer will plan and execute a viable program of research and/or education, consistent with the objectives and priorities of the scientific community. The recipient will manage the facilities and equipment provided by NSF, and will provide support and technical personnel to manage AO as a well-integrated research and/or education facility. A significant portion of the AO program should be carried out in collaboration with its stakeholder communities, and other collaborators.

The NIDCR-funded FaceBase data repository and knowledgebase (www.facebase.org) was established to advance craniofacial research by creating comprehensive datasets on craniofacial development and dysmorphologies and disseminating them to the wider craniofacial research community. Since FaceBase's inception, the data management and integration hub has been charged with the critical functions of collecting datasets and analytic tools developed by dataset-generating spoke projects, curating and integrating those resources, and disseminating them. This Request for Applications (RFA) is a limited competition for renewal applications for the Data Management and Integration Hub. As in the past, the FaceBase 3 hub will continue to be responsible for integration and presentation of existing FaceBase datasets, development or adoption of new approaches for data search and visualization, and outreach to the wider craniofacial research community. In addition, the hub will assume an important new mission that of working with investigators within the craniofacial research community to make their datasets compatible with FaceBase's data models, curating and integrating these new datasets with those already held by FaceBase.

The purpose of this funding opportunity announcement (FOA) is to invite applications for the Data Coordinating Center (DCC) of the Early Phase Pain Investigation Clinical Network (EPPIC-Net). EPPIC-Net will serve as the cornerstone of the NIHs Helping to End Addiction Long-term (HEAL) Partnership. EPPIC-Net will provide a robust and readily accessible infrastructure for carrying out in depth phenotyping and biomarker studies in patients with specific pain conditions, and the rapid design and performance of high-quality Phase 2 clinical trials to test promising novel therapeutics for pain from partners in academia or industry. Studies will bring intense focus to patients with well-defined pain conditions and high unmet therapeutic needs. EPPIC-Net will consist of one Clinical Coordinating Center (CCC), one Data Coordinating Center (DCC) and approximately 10 specialized clinical centers (hubs). As the main data manager for pain research in the HEAL Initiative, the EPPIC-Net DCC will host and manage clinical, neuroimaging, biomarker, omics, and preclinical data from EPPIC-Net and other components of the HEAL Initiatives pain research program.

What we will consider funding: Innovative ideas for improving measurement of coverage and equity data for use by program staff and managers. Specifically, their ability to collect and deliver the right data at the right time to the appropriate audiences would benefit from: Incorporating advances in technology to support decision makers in planning and executing program strategies Integration of immunization data systems, as well as the ability to address data use demands from multiple stakeholders. Enabling a culture that supports data quality and use e.g. provides feedback on data at multiple levels. Alignment of incentives to promote reporting of accurate data above coverage estimates. Innovations in process efficiency toward improved service delivery. These may stem from lean healthcare, or other approaches, but should have the end goal of improving the experience of healthcare workers, caregivers, or both.

The post-graduation employment commitment is equal to or greater than the amount of time the student received scholarship funding under this program. The Office of the Assistant Secretary of Defense for Research and Engineering (OASD(R&E))/Research Directorate (RD) manages the SMART Scholarship Program and to carry out its mission in support of these programs, OASD(R&E)/RD requires a recipient to collaborate effectively with the SMART Scholarship Program in achieving the four (4) fundamental elements listed below.There are four (4) fundamental elements to the successful administration of the SMART Program. These elements are as follows:1. Cooperatively, with the SMART Program Office, assist in the administration of the program to include, but not limited to, the application cycle, monitoring and interaction with students during academic pursuit, monitoring of scholars upon graduation, hiring tracking, web site development and maintenance, and individual Service SMART program facilitation.2. In close collaboration with the SMART Program, develop and maintain a SMART Information Management System that will track, update, and maintain all SMART Program data.3. Develop and implement an annual marketing and outreach plan, in conjunction with the SMART Program, that supports colleges and universities on behalf of the SMART Program4. Assist the SMART Program with payment of scholar's tuition, stipends, and other expenses on behalf of the Government

The purpose of this Funding Opportunity Announcement (FOA) is to invite exploratory/developmental research grant (R21) applications for the development of innovative methods and algorithms in biomedical computing, informatics, and data science addressing priority needs across the cancer research continuum, including cancer biology, cancer treatment and diagnosis, cancer prevention, cancer control and epidemiology, and/or cancer health disparities. As a component of the NCI's Informatics Technology for Cancer Research (ITCR) Initiative, this FOA encourages applications focused on the development of novel computational, mathematical, and statistical algorithms and methods that can considerably improve acquisition, management, analysis, and dissemination of relevant data and/or knowledge. The central mission of ITCR is to promote research-driven informatics technology across the development lifecycle to address priority needs in cancer research. In order to be successful, the proposed informatics method or algorithm must have a clear rationale on why it is novel and how it will benefit the cancer research field.

The National Science Foundation (NSF) hereby solicits proposals to manage and operate the Arecibo Observatory (AO). The AO is a multidisciplinary research and education facility. AO's cornerstone research instrument is a 305-meter diameter fixed spherical reflector, located on approximately 120 acres of U.S. Federal Government-owned land near Arecibo, Puerto Rico. AO conducts research in passive radio astronomy, solar system radar astronomy, and space and atmospheric sciences.

The objective of this study is to assess the effect of truck traffic on bridge performance by conducting the following: Collect quality truck traffic and loads data (volumes, classifications, size, weights, and other relevant data) by installing, maintaining, calibrating, and utilizing state of art instrumentation at selected bridge sites nationally, for the purpose of calibrating bridge specifications and quantifying load-induced deterioration of bridge elements and systems to establish bridge performance and serviceability criteria for improved long-term bridge performance, management and operations. This research requires the deployment of market-ready, low risk, state-of-practice technologies to monitor in-service bridges, collect bridge load and response data, and bridge component deterioration and establish correlations that are applicable to illustrate the impact of vehicular live loads on bridge component performance.

ABC Wildlife humanely manages urban wildlife and insects in the interest of human health and safety from an environmental sustainability perspective with a love of nature and a deep respect for all living things. ABC Wildlife has offered humane wildlife removal services to the Chicagoland area for over 35 years.  As a woman-owned corporation operating in a largely male field, ABC Wildlife understands the remarkable impact women can have when allowed to break through. We want to pave the way for other women pursuing their dreams in the scientific world, which is why ABC Wildlife is introducing a scholarship designed to increase the number of women studying and influencing the future of science, including technology, engineering and math.

The goals of the Secure and Trustworthy Cyberspace (SaTC) program are aligned with the Federal Cybersecurity Research and Development Strategic Plan (RDSP) and the National Privacy Research Strategy (NPRS) to protect and preserve the growing social and economic benefits of cyber systems while ensuring security and privacy. The RDSP identified six areas critical to successful cybersecurity R&D: (1) scientific foundations; (2) risk management; (3) human aspects; (4) transitioning successful research into practice; (5) workforce development; and (6) enhancing the research infrastructure. The NPRS, which complements the RDSP, identifies a framework for privacy research, anchored in characterizing privacy expectations, understanding privacy violations, engineering privacy-protecting systems, and recovering from privacy violations. In alignment with the objectives in both strategic plans, the SaTC program takes an interdisciplinary, comprehensive and holistic approach to cybersecurity research, development, and education, and encourages the transition of promising research ideas into practice.

Together with University Advancement, the Office for the Advancement of Research & Scholarship (OARS) is rolling out an new crowdfunding platform called HawksNest. Through HawksNest, alumni, family, and friends of the university can directly support the research, scholarship, and service projects of Miami University students, faculty, and staff. This is how HawksNest works: * Any Miami University student, faculty, or staff member may complete an online application to have a project considered for funding. * An internal review team assesses applications and posts approved projects on HawksNest for a maximum of 45 days. * Potential donors visit the site to learn about and pledge funds to approved projects. * Once a funding goal has been met, the project can begin! * Project managers use the site to keep donors up-to-date with information on the project's progress.

The Service, Manufacturing and Operations Research (SMOR) program supports fundamental research leading to the creation of innovative mathematical models, analysis, and algorithms for decision-making related to design, planning, and operation of service, manufacturing, and other complex systems. Specifically, the program supports two main types of research: (i) innovations in general-purpose methodology related to optimization, stochastic modeling, and decision and game theory; and (ii) research grounded in relevant applications that require the development of novel and customized analytical and computational methodologies. Application areas of interest include supply chains and logistics; risk management; healthcare; environment; energy production and distribution; mechanism design and incentives; production planning, maintenance, process monitoring and quality control; and national security. Of particular interest are methods that incorporate increasingly rich and diverse sources of data to support decision-making.

Research proposals are sought from educational institutions, nonprofit organizations, and commercial organizations for research in materials sciences; ballistics and aeromechanics sciences; information sciences; human sciences; survivability, lethality, and vulnerability analysis and assessment; chemistry; electronics; physics; environmental sciences; life sciences; mechanical sciences, mathematical sciences, computing sciences and network sciences. Proposals will be evaluated only if they are for scientific study and experimentation directed toward advancing the state of the art or increasing knowledge and understanding. ARO has primary responsibility for ARL's extramural basic research programs, with specific research interests as described in Part II.A.2. The ARL Directorates, while having primary responsibility for ARL's in-house research programs, also manage select extramural basic research programs. The research interests of the Directorates are described in Part II.A.1. Although ARL Directorates will consider funding proposals for extramural research programs, they can fund only a modest number of proposals in a single fiscal year.

In 2016, the National Science Foundation (NSF) unveiled a set of "Big Ideas," 10 bold, long-term research and process ideas that identify areas for future investment at the frontiers of science and engineering (see https://www.nsf.gov/news/special_reports/big_ideas/index.jsp). The Big Ideas represent unique opportunities to position our Nation at the cutting edge of global science and engineering leadership by bringing together diverse disciplinary perspectives to support convergence research. As such, when responding to this solicitation, even though proposals must be submitted to the Directorate for Computer & Information Science & Engineering/Office of Advanced Cyberinfrastructure(CISE/OAC), once received, the proposals will be managed by a cross-disciplinary team of NSF Program Directors. NSF's Harnessing the Data Revolution (HDR) Big Ideais a national-scale activity to enable new modes of data-driven discovery that will allow fundamental questions to be asked and answered at the frontiers of science and engineering.

The NSF Mid-scale Research Infrastructure-2 Program (Mid-scale RI-2) supports implementation of projects that comprise any combination ofequipment, instrumentation, computational hardware and software, and the necessary commissioning and human capital in support of implementation of the same. The total cost for Mid-scale RI-2 projects ranges from $20 million to below the minimum award funded by the Major Research Equipment and Facilities Construction (MREFC) Program, currently $70 million. Mid-scale RI-2 projects will directly enable advances in any of the research domains supported by NSF, including STEM education. Projects may also include upgrades to existing research infrastructure. The Mid-scale RI-2 Program emphasizes strong scientific merit and response to an identified need of the research community, technical and managerial readiness for implementation, and a well-developed plan for student training and involvement of a diverse workforce in mid-scale facility development, and/or associated data management. Mid-scale RI-2 will consider only the implementation (typically construction or acquisition) stage of a project, including a limited degree of advanced development immediately preparatory to implementation. It is thus intended that Mid-scale RI-2 will support projects in high states of readiness for implementation, i.e., those that have already matured through previous developmental investments.

PFI has five broad goals, as set forth by the American Innovation and Competitiveness Act of 2017 ("the Act", S.3084 - 114th Congress; Sec. 602. Translational Research Grants): (1) identifying and supporting NSF-sponsored research and technologies that have the potential for accelerated commercialization; (2) supporting prior or current NSF-sponsored investigators, institutions of higher education, and non-profit organizations that partner with an institution of higher education in undertaking proof-of-concept work, including the development of technology prototypes that are derived from NSF-sponsored research and have potential market value; (3) promoting sustainable partnerships between NSF-funded institutions, industry, and other organizations within academia and the private sector with the purpose of accelerating the transfer of technology; (4) developing multi-disciplinary innovation ecosystems which involve and are responsive to the specific needs of academia and industry; (5) providing professional development, mentoring, and advice in entrepreneurship, project management, and technology and business development to innovators.