OARS funding Computer

This Funding Opportunity Announcement (FOA) invites training grant applications for support of predoctoral and postdoctoral training for research careers in biomedical informatics and data science. Applications may be for the creation of entirely new programs or for the renewal of active NLM T15 training grants. Such training helps meet the growing need for investigators trained in biomedical computing, data science and related information fields as they directly relate to application domains in health and biomedicine, including health care delivery, basic biomedical research, clinical and translational research, public health and similar areas.

This Funding Opportunity Announcement (FOA) invites training grant applications for support of predoctoral and postdoctoral training for research careers in biomedical informatics and data science. Applications may be for the creation of entirely new programs or for the renewal of active NLM T15 training grants. Such training helps meet the growing need for investigators trained in biomedical computing, data science and related information fields as they directly relate to application domains in health and biomedicine, including health care delivery, basic biomedical research, clinical and translational research, public health and similar areas.

The Office of Basic Energy Sciences (BES) of the U.S. Department of Energy (DOE) announces its interest in receiving applications in Computational Materials Sciences proposing integrated, multidisciplinary teams that will perform research to develop validated community codes and data bases for predictive design of functional materials, excluding structural materials. Computational Materials Sciences Teams could also involve new approaches to enhance the use of large data sets derived from advanced characterization of materials, materials synthesis, processing, and properties assessments and the parallel data that are generated by large scale computational efforts that model materials phenomena. Computational Materials Sciences will support the Materials Genome Initiative for Global Competitiveness (MGI) that was announced by the President in June 2011. The goal of the MGI is to reduce the time from discovery to deployment of new materials by a factor of two and is tied to advancement of American manufacturing capability. This funding opportunity continues the BES commitment to the MGI and the development of open source codes that can take full advantage of today's petascale and future exascale leadership computing facilities.

The Office of Basic Energy Sciences (BES) of the U.S. Department of Energy (DOE) announces its interest in receiving applications in Computational Materials Sciences proposing integrated, multidisciplinary teams that will perform research to develop validated community codes and data bases for predictive design of functional materials, excluding structural materials. Computational Materials Sciences Teams could also involve new approaches to enhance the use of large data sets derived from advanced characterization of materials, materials synthesis, processing, and properties assessments and the parallel data that are generated by large scale computational efforts that model materials phenomena. Computational Materials Sciences will support the Materials Genome Initiative for Global Competitiveness (MGI) that was announced by the President in June 2011. The goal of the MGI is to reduce the time from discovery to deployment of new materials by a factor of two and is tied to advancement of American manufacturing capability. This funding opportunity continues the BES commitment to the MGI and the development of open source codes that can take full advantage of today's petascale and future exascale leadership computing facilities.

The International Research Network Connections (IRNC) program supports high-performance network connectivity required by international science and engineering research and education collaborations involving the NSF research community. NSF expects to make 1-2 awards to link U.S. research networks with peer networks in Europe and Africa and leverage existing international network connectivity. High-performance network connections 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. Through extended international network connections, additional research and production network services will be enabled, complementing those currently offered or planned by domestic research networks.

The International Research Network Connections (IRNC) program supports high-performance network connectivity required by international science and engineering research and education collaborations involving the NSF research community. NSF expects to make 1-2 awards to link U.S. research networks with peer networks in Europe and Africa and leverage existing international network connectivity. High-performance network connections 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. Through extended international network connections, additional research and production network services will be enabled, complementing those currently offered or planned by domestic research networks.

The National Science Foundation's Directorates for Computer and Information Science and Engineering (CISE), Engineering (ENG), and Mathematical and Physical Sciences (MPS) are coordinating efforts to identify bold new concepts with the potential to contribute towards significant improvements in the efficiency of radio spectrum utilization, protection of passive sensing services, and the ability for traditionally underserved Americans to benefit from current and future wireless-enabled goods and services. This EARS program solicitation seeks to fund innovative collaborative research addressing large-scale challenges that transcend the traditional boundaries of existing programs.

I-Corps@Ohio is a statewide program to assist faculty and graduate students from Ohio universities and colleges to validate the market potential of their technologies and assist with launching startup companies. I-Corps@Ohio is modeled after the National Science Foundation's (NSF) successful I-Corps program, which has proven to increase innovation, entrepreneurship, and industry collaboration. I-Corps@Ohio is an initiative of the Ohio Department of Higher Education.

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 Air Force Office of Scientific Research (AFOSR) is seeking proposals to provide independent, objective analysis of scientific and technical topics of relevance to the Air Force and national defense. The activity would include refining areas of interest provided by the Air Force into organized, rigorous studies concerning, for many scientific and technical fields, determining the state of the art, projecting trends, utilizing science and technologies for national defense purposes, and identifying promising or necessary areas of additional study. This announcement solicits proposals for up to five (5) years of performance and up to $25M of funding, dependent on the needs of the Air Force and the availability of funding. All proposals must be unclassified, but work under any award may be classified.

This request for a literature review and subsequent computer modeling falls within the framework of the Project FAIL-SAFE research effort. The National Association of State Fire Marshals Fire Research and Education Foundation (NASFM Foundation) has undertaken Project FAIL-SAFE in an effort to provide quantifiable data on the integration and inter-relation of fire protection systems in modern construction techniques. The literature review is designed to determine what is currently known in this area and identify areas where additional knowledge gains are needed. The computer modeling will follow the literature review to test and provide initial answers to the identified knowledge gaps from the literature review.

The Office of Basic Energy Sciences (BES) of the U.S. Department of Energy (DOE) announces its interest in receiving applications in Computational Materials Sciences proposing integrated, multidisciplinary teams that will develop validated community codes and data bases for predictive design of functional materials, excluding structural materials. Computational Materials Sciences Teams could also involve new approaches to enhance the use of large data sets derived from advanced characterization of materials, materials synthesis, processing, and properties assessments and the parallel data that are generated by large scale computational efforts that model materials phenomena. Computational Materials Sciences will support the Materials Genome Initiative for Global Competitiveness (MGI) that was announced by the President in June 2011. The goal of the MGI is to reduce the time from discovery to deployment of new materials by a factor of two and is tied to advancement of American manufacturing capability. 

The HHPR Summit is an international meeting supporting human systems research held in Dayton, Ohio with the objective of linking defense and academic research to the commercial domains. The Summit is a forum to generate research knowledge and ideas, recruit and retain key organizations and researchers in the human systems domain, and link research to entrepreneurial outcomes, and diffuse information.

The Square Kilometre Array, in conjunction with Amazon Web Services (AWS), is pleased to issue this call for proposals for grants to use AWS for radio astronomy data reduction or tools and techniques development.  AWS has made a significant tranche of AWS Services credits available each year, for two years for this purpose, and will host up to 1 Petabyte of radio astronomy datasets as a public resource open to grant recipients and the community in general.

Cyber-physical systems (CPS) are engineered systems that are built from, and depend upon, the seamless integration of computational algorithms and physical components. Advances in CPS will enable capability, adaptability, scalability, resiliency, safety, security, and usability that will far exceed the simple embedded systems of today. CPS technology will transform the way people interact with engineered systems -- just as the Internet has transformed the way people interact with information. New smart CPS will drive innovation and competition in sectors such as agriculture, energy, transportation, building design and automation, healthcare, and manufacturing. The December 2010 report of the President's Council of Advisors on Science and Technology (PCAST) titled Designing a Digital Future: Federally Funded Research and Development in Networking and Information Technologycalls for continued investment in CPS research because of its scientific and technological importance as well as its potential impact on grand challenges in a number of sectors critical to U.S. security and competitiveness such as the ones noted above. These challenges and technology gaps are further described in aCPS Vision Statementpublished in 2012 by the federal Networking and Information Technology Research and Development (NITRD) CPS Senior Steering Group. Tremendous progress has been made in advancing CPS technology over the last five-plus years. We have explored foundational technologies that have spanned an ever-growing set of application domains, enabling breakthrough achievements in many of these fields. At the same time, the demand for innovation in these domains continues to grow, and is driving the need to accelerate fundamental research to

The Department of Energy National Energy Technology Laboratory, on behalf of the Office of Electricity Delivery and Energy Reliability, is seeking applications to enable an academic collaboration with expertise in power system engineering and cyber security computer science to innovate and transition cyber security capabilities to the energy sector to reduce the risk of power disruption resulting from a cyber-incident.

Researchers in all fields of science and engineering are being challenged in two key directions.  The first challenge is to push beyond the current boundaries of knowledge to provide ever-deeper insights through fundamental disciplinary research by addressing increasingly complex questions, which often requires extremely sophisticated integration of theoretical, experimental, observational and simulation and modeling results.   These efforts, which have relied heavily on observing platforms and other data collection efforts, computing facilities, software, advanced networking, analytics, visualization and models have led to important breakthroughs in all areas of science and engineering and represent a very strong bottom-up approach to the necessary research infrastructure.  The second, and more extensive challenge, is to synthesize these fundamental ground breaking efforts across multiple fields to transform scientific research into an endeavor that integrates the deep knowledge and research capabilities developed within the universities, industry and government labs. Individuals, teams and communities need to be able work together; likewise, instruments, facilities (including MREFCs), datasets, and cyber-services must be integrated from the group to campus to national scale. One can imagine secure, geographically distributed infrastructure components including advanced computing facilities, scientific instruments, software environments, advanced networks, data storage capabilities, and the critically important human capital and expertise. Greater understanding is also needed of how scientific and research communities will evolve in the presence of new cyberinfrastructure. 

SoftwareInfrastructure for Sustained Innovation (SI2) is a long-term investment focused on realizing a portion of the Cyberinfrastructure Framework for 21st Century Science and Engineering (CIF21, http://www.nsf.gov/funding/pgm_summ.jsp?pims_id=504730) vision and catalyzing new thinking, paradigms and practices in science and engineering. CIF21 envisions a linked cyberinfrastructure architecture that integrates large-scale computing, high-speed networks, massive data archives, instruments and major facilities, observatories, experiments, and embedded sensors and actuators, across the nation and the world, and that enables research at unprecedented scales, complexity, resolution, and accuracy by integrating computation, data, and experiments in novel ways. Software is a primary modality through which CIF21 innovation and discovery will be realized. It permeates all aspects and layers of cyberinfrastructure (from application codes and frameworks, programming systems, libraries and system software, to middleware, operating systems, networking and the low-level drivers). The CIF21 software infrastructure must address the complexity of this cyberinfrastructure, accommodating: disruptive hardware trends; ever-increasing data volumes; data integrity, privacy, and confidentiality; security; complex application structures and behaviors; and emerging concerns such as fault-tolerance and energy efficiency. The programs must focus on building robust, reliable and sustainable software that will support and advance sustained scientific innovation and discovery.
 The Division of Advanced Cyberinfrastructure in the Computer & Information Science & Engineering Directorate (CISE/ACI) is partnering with Directorates and Offices across the NSF to support SI2, a long-term comprehensive program focused on realizing a sustained software infrastructure that is an integral part of CIF21.

Advancements in data-driven scientific research depend on trustworthy and reliable cyberinfrastructure. Researchers rely on a variety of networked technologies and software tools to achieve their scientific goals. These may include local or remote instruments, wireless sensors, software programs, operating systems, database servers, high-performance computing, large-scale storage arrays, and other critical infrastructure connected by high-speed networking. This complex, distributed, interconnected global cyberinfrastructure ecosystem presents unique cybersecurity challenges. NSF-funded scientific instruments are specialized, highly visible assets that present attractive targets for both unintentional errors and malicious activity; untrustworthy software or a loss of integrity of the data collected by a scientific instrument may mean corrupt, skewed or incomplete results. Furthermore, often data-driven research, e.g., in the medical field or in the social sciences, requires access to private information, and exposure of such data may cause financial, reputational and/or other damage. Therefore, an increasing area of focus for NSF is the development and deployment of hardware and software technologies and techniques to protect research cyberinfrastructure across every stage of the scientific workflow.

The BIGDATA program seeks novel approaches in computer science, statistics, computational science, and mathematics, along with innovative applications in domain science, including social and behavioral sciences, geosciences, education, biology, the physical sciences, and engineering that lead towards the further development of the interdisciplinary field of data science. The solicitation invites two types of proposals: "Foundations" (F): those developing or studying fundamental theories, techniques, methodologies, technologies of broad applicability to Big Data problems; and "Innovative Applications" (IA): those developing techniques, methodologies and technologies of key importance to a Big Data problem directly impacting at least one specific application. Therefore, projects in this category must be collaborative, involving researchers from domain disciplines and one or more methodological disciplines, e.g., computer science, statistics, mathematics, simulation and modeling, etc. While Innovative Applications (IA) proposals may address critical big data challenges within a specific domain, a high level of innovation is expected in all proposals and proposals should, in general, strive to provide solutions with potential for a broader impact on data science and its applications. IA proposals may focus on novel theoretical analysis and/or on experimental evaluation of techniques and methodologies within a specific domain. Proposals in all areas of sciences and engineering covered by participating directorates at NSF are welcome.

The Mahoney Prize recognizes an outstanding article in the history of computing and information technology, broadly conceived. The Mahoney Prize commemorates the late Princeton scholar Michael S. Mahoney, whose profound contributions to the history of computing came from his many articles and book chapters. The prize consists of a $500 award and a certificate. For the inaugural 2015 prize, articles published in the preceding three years (2012, 2013, and 2014) are eligible for nomination. The Mahoney Prize is awarded by the Special Interest Group in Computers, Information, and Society (SIGCIS) and is presented during the annual meeting of our parent group, the Society for the History of Technology.

The University of Chicago is offering talented individuals from traditionally underrepresented populations an expenses-paid opportunity to explore graduate education at the University of Chicago. Join us for a weekend of graduate admissions workshops, presentations by world-renowned faculty and their graduate students, and informal socials. Receive advice on submitting a competitive application to graduate programs and learn how to develop your own career as a scientist, academic, or professional.

Help create a sustainable, competitive, and healthy US food system. Use USDA data to create working, interactive applications to get farmers the information they need - and help feed America. What to Create: Submit a working, interactive application that integrates one or more of the required USDA datasets.  Static data visualizations will not be eligible. Applications must include interactive functionality (e.g. the user can change parameters to update the visualization and/or result). Eligible Platforms: Smartphone or tablet (iOS, Android, Blackberry, Kindle, Windows 8 Mobile) Web (mobile or desktop) Desktop (Windows PC, Mac Desktop) Software running on other publicly available hardware (including, but not exclusive to, wearable technology, open source hardware, etc.) Supplemental Material: You must submit a demo video (hosted on YouTube, Vimeo, or Youku) that walks through the main functionality of the application via screencast or video. You must also submit a text description and at least one image/screenshot of your working application. Testing: You must make your app available for testing by providing a link to access your installation file, an uploaded installation file, a beta distribution build, etc. See full testing access options. New & Existing Solutions: Apps may be newly created or pre-existing. If the submitted app existed prior to the competition's submission start date, it must have been updated to integrate the required USDA data during the submission period.