Group items tagged

Scientists and patient advocacy groups often use a series of photos, commissioned by NEI some thirty years ago, when they wish to depict the visual experience of patients suffering from blinding diseases. At the time they were created, these images reflected the field's understanding of visual perception for such patients. But the field has advanced considerably since then, and these static images are considered overly simplistic, inaccurate, and generally unsatisfactory. At the same time, technology has evolved to where it is possible to use video and virtual reality to more authentically demonstrate (or even simulate) the experience of have a blinding disease. As part of the efforts of the NEI 50th Anniversary Planning Committee, the institute seeks the support of experts in blinding diseases, visual psychophysics, and video/virtual reality production to create a scientifically accurate and clinically authentic blindness simulation "experience" that can be used for education, public advocacy, and research purposes and a series of short videos that can be posted online for education and public outreach.

NSWC Crane is interested in funding research to inform future science and technology investments via data mapping and information visualization techniques. Specifically, advancements beyond traditional scientometrics are desired for visualizing, understanding, and predicting naval research and development investments that yield transitioned technologies via methods that make sense of the dynamic collaborative network of academia, industry, and government partners.

NSWC Crane is interested in funding research to inform future science and technology investments via data mapping and information visualization techniques. Specifically, advancements beyond traditional scientometrics are desired for visualizing, understanding, and predicting naval research and development investments that yield transitioned technologies via methods that make sense of the dynamic collaborative network of academia, industry, and government partners.

The purpose of this FOA is the rapid and efficient translation of innovative laboratory research findings into therapies, devices or other resources for use by clinicians to treat visual system diseases or disorders. Multidisciplinary teams of scientists and clinicians must focus on generating preclinical data that will lead to the development of biological interventions, such as gene therapy, cell-based therapy, pharmacological approaches, and/or medical devices. The ultimate goal of this program is to make technological, biological and pharmacological resources available to clinicians and their patients. Each project should have a well-defined end-point, achievable within a five-year time frame, of developing a device or treatment for a specific ocular disease.

NSWC Crane is interested in funding research of advanced 3D scene reconstruction techniques using imagery taken from currently fielded dynamic (moving) platforms. This proposed research is to assess and prototype methods currently utilized in commercial and academic systems to determine how to utilize several moving platforms in several different wavebands to reconstruct a 3D visualization of a scene.

NSWC Crane is interested in funding research of advanced 3D scene reconstruction techniques using imagery taken from currently fielded dynamic (moving) platforms. This proposed research is to assess and prototype methods currently utilized in commercial and academic systems to determine how to utilize several moving platforms in several different wavebands to reconstruct a 3D visualization of a scene.

DARPA is soliciting innovative research proposals in the area of cyber analysis. Proposed research should investigate innovative approaches that enable revolutionary advances in science, devices, or systems. Specifically excluded is research that primarily results in evolutionary improvements to the existing state of practice.   ICAS aims to make IT system information readily useful for attack forensics and tactical cyber defense by automatically integrating all device data and generating a complete, current picture of the enterprise. DARPA envisions an ICAS solution comprised of two principal elements: a connecting layer to enable federation of currently stovepiped IT system data sources, and tools for analyzing, visualizing, and reasoning over the ICAS federated database.

Hazards SEES seeks research projects that will productively cross the boundaries of the atmospheric and geospace, earth, and ocean sciences; computer and information science; cyberinfrastructure; engineering; mathematics and statistics; and social, economic, and behavioral sciences. Successful proposals will integrate across these multiple disciplines to promote research that advances new paradigms that contribute to creating a society resilient to hazards. Hazards SEES intends to transform hazards and disaster research by fostering the development of interdisciplinary research that allows for appropriately targeted data collection, integration, and management; modeling (including predictive models for real-time decision making); visualization and simulation; data analytics and data-driven discovery; real-time sensing; cross-cutting knowledge development; and synthesis of applicable models and theory. 

This Broad Agency Announcement (BAA) seeks to provide research and development for forming a revolutionary approach to information fusion and analysis by leveraging service-oriented architecture, open standards, and cutting-edge fusion and analytical algorithms to provide real-time (or near real-time) intelligence for decision makers. This BAA shall research and develop novel techniques to assist users with discovering the golden nuggets in the data - potential approaches include fusing diverse data sources, filtering noise, and leveraging pattern learning to derive patterns of life. Further, technical capabilities developed under this BAA will minimize user time spent gathering data and reporting data, while preserving and providing more time for analysis. This will be accomplished through several means to include a data framework that can easily and quickly connect to sundry data sources, a rich, intuitive personalized workspace and experience, a variety of user-defined visualization displays, machine learning to assist and automate mundane tasks, and a custom report generation tool.

This research will include all aspects of sensor development and management, innovative sensing, sensor exploitation, performance metrics, performance analysis and methods for sensor exploitation performance prediction, cooperative autonomous systems, information visualization, mobile computing architectures and applications, and computational sciences.

The second major report of the President's Advanced Manufacturing Partnership (AMP), Accelerating U.S. Advanced Manufacturing, provides high-level recommendations for U.S. advanced manufacturing strategies, with emphasis on three manufacturing technology areas (MTAs): Advanced sensing, controls and platforms for manufacturing; Visualization, information, and digital manufacturing; and Advanced materials manufacturing. Detailed information on the recommendations for each MTA can be found in Annexes 1 through 10 of the AMP's report. Also of note are reports from the European Commission1 and industry2,3, which provide descriptions of advances in manufacturing, including leveraging of emerging information technologies. Consistent with the AMP's report, the evolution of manufacturing technology has arguably been most importantly dependent on the application of increasingly powerful and low-cost computation in manufacturing enterprises. NSF researchers are, and have been, actively engaged in pursuing fundamental advances in design theory and translation; real-time sensing and perception; data capture, representation, and analytics; machine architectures and human interfaces; materials and process modeling; scheduling and control algorithms; fault detection, analysis, and correction; and coordination of decisions across distributed production facilities that have led to the globally-connected, low-cost, flexible and resilient supply chains, computer-integrated factories, and digital design systems of the modern world. There is a general consensus about the increasingly important role of powerful, low-cost computation in manufacturing.

MGI recognizes the importance of materials science to the well-being and advancement of society and aims to "deploy advanced materials at least twice as fast as possible today, at a fraction of the cost." DMREF integrates materials discovery, development, property optimization, and systems design and optimization, with each employing a toolset to be developed within a materials innovation infrastructure. The toolset will synergistically integrate advanced computational methods and visual analytics with data-enabled scientific discovery and innovative experimental techniques to revolutionize our approach to materials science and engineering.

MGI recognizes the importance of materials science to the well-being and advancement of society and aims to "deploy advanced materials at least twice as fast as possible today, at a fraction of the cost." DMREF integrates materials discovery, development, property optimization, and systems design and optimization, with each employing a toolset to be developed within a materials innovation infrastructure. The toolset will synergistically integrate advanced computational methods and visual analytics with data-enabled scientific discovery and innovative experimental techniques to revolutionize our approach to materials science and engineering.

NGA welcomes all innovative ideas for path-breaking research that may advance the GEOINT mission. The NGA mission is to provide timely, relevant, and accurate geospatial intelligence (GEOINT) in support of national security objectives. GEOINT is the exploitation and analysis of imagery and geospatial information to describe, assess, and visually depict physical features and geographically referenced activities on the Earth. GEOINT consists of imagery, imagery intelligence, and geospatial information. NGA offers a variety of critical GEOINT products in support of U.S. national security objectives and Federal disaster relief, including aeronautical, geodesy, hydrographic, imagery, geospatial and topographical information. The NGA Academic Research Program (NARP) is focused on innovative, far-reaching basic and applied research in science, technology, engineering and mathematics having the potential to advance the GEOINT mission. The objective of the NARP is to support innovative, high-payoff research that provides the basis for revolutionary progress in areas of science and technology affecting the needs and mission of NGA.

NGA welcomes all innovative ideas for path-breaking research that may advance the GEOINT mission. The NGA mission is to provide timely, relevant, and accurate geospatial intelligence (GEOINT) in support of national security objectives. GEOINT is the exploitation and analysis of imagery and geospatial information to describe, assess, and visually depict physical features and geographically referenced activities on the Earth. GEOINT consists of imagery, imagery intelligence, and geospatial information. NGA offers a variety of critical GEOINT products in support of U.S. national security objectives and Federal disaster relief, including aeronautical, geodesy, hydrographic, imagery, geospatial and topographical information. The NGA Academic Research Program (NARP) is focused on innovative, far-reaching basic and applied research in science, technology, engineering and mathematics having the potential to advance the GEOINT mission.

CISE's Division of Information and Intelligent Systems (IIS) supports research and education projects that develop new knowledge in three core programs: The Cyber-Human Systems (CHS) program; The Information Integration and Informatics (III) program; and The Robust Intelligence (RI) program. Proposals in the area of computer graphics and visualization may be submitted to any of the three core programs described above.

The National Council of Teachers of Mathematics works to ensure equitable mathematics learning of the highest quality for all students through vision, leadership, the professional development of teachers, and research. To that end, NCTM is accepting applications to its Connecting Mathematics to Other Subject Areas Grants for Grades 9-12 Teachers program, which supports senior high classroom materials or lessons that connect mathematics to other areas of study. For the 2019-20 school year, grants of up to $4,000 each will be awarded to persons currently teaching mathematics in grades 9-12. Materials may be in the form of books, visual displays, computer programs or displays, slide shows, videotapes, or other appropriate media. The focus of these materials should be on showing the connectivity of mathematics to other fields and/or the world around us.

This Funding Opportunity Announcement (FOA) seeks applications for the design and development of technologies to monitor health or deliver care in a real-time, accessible, effective, and minimally obtrusive way for older adults with a chronic heart, lung, blood, or sleep (HLBS) condition. These technologies may be novel sensor or monitoring systems, home-use point-of-care devices, home or mobile therapy or rehabilitation tools, or information systems and should have the goal of fostering healthy and independent living for aging adults with HLBS conditions. The development of such technologies should incorporate specific human factors for aging adults including disabilities, mild impairments, as well as chronic HLBS conditions. Technology usability for these populations must be incorporated early in the development of the design. Usability considerations include but are not limited to patient-facing displays, hearing and visual impairments, tactile limitations, literacy, and design preferences between men and women. These improvements in technology design could yield more accurate and earlier detection of changes that may interfere with healthy and independent living for older adults.

The purpose of this Funding Opportunity Announcement (FOA) is to invite applications for projects that will rapidly and systematically implement new technologies into the HuBMAP Consortium with the goal of accelerating development of a framework for mapping of the human body at single cell resolution. The scope of this FOA encompasses a wide range of technologies, spanning the fields of tissue collection and preservation; high resolution, high content, high-throughput imaging; high sensitivity and high specificity transcriptomics, genomics and proteomics; analysis, and visualization and modelling of multidimension biomolecular data.