The overarching goal of INFEWS is to catalyze well-integrated interdisciplinary and convergent research to transform scientific understanding of the FEW nexus (integrating all three components rather than addressing them separately), in order to improve system function and management, address system stress, increase resilience, and ensure sustainability. The NSF INFEWS initiative is designed specifically to attain the following goals:
1. Significantly advance our understanding of the food-energy-water system through quantitative, predictive and computational modeling, including support for relevant cyberinfrastructure;
2. Develop real-time, cyber-enabled interfaces that improve understanding of the behavior of FEW systems and increase decision support capability;
3. Enable research that will lead to innovative solutions to critical FEW systems problems; and
4. Grow the scientific workforce capable of studying and managing the FEW system, through education and other professional development opportunities.
There is a consensus across the many industries touched by our ubiquitous computing infrastructure that future performance improvements across the board are now severely limited by the amount of energy it takes to manipulate, store, and critically, transport data. While the limits and tradeoffs for this performance-energy crisis vary across the full range of application platforms, they have all reached a point at which evolutionary approaches to addressing this challenge are no longer adequate. Truly disruptive breakthroughs are now required, and not just from any one segment of the technology stack. Rather, due to the complexity of the challenges, revolutionary new approaches are needed at each level in the hierarchy. Furthermore, simultaneous co-optimization across all levels is essential for the creation of new, sustainable computing platforms. These simultaneous technical and organizational challenges have never been as complex or as critically important as they are now. The urgency of solving the multi-disciplinary technical challenges will require new methods of collaboration and organization among researchers. Therefore, a comprehensive and collaborative approach must be undertaken to maximize the potential for successfully identifying and implementing revolutionary solutions to break through the bottleneck of energy-constrained computational performance. Programmers, system architects, circuit designers, chip processing engineers, material scientists, and computational chemists must all explore these new paths together to co-design an optimal solution path.
National Science Foundation (NSF) and the National Institute of Information and Communications Technology (NICT) of Japan have agreed to embark on a collaborative research program to address compelling research challenges that arise from networks supporting future demands of device proliferation and data objects. This NSF solicitation parallels an equivalent NICT solicitation. Proposals submitted under this solicitation must describe joint research with Japanese counterparts who are requesting funding separately under the NICT solicitation.
This research and development program addresses three specific challenges that arise when environments with trillions of device and information objects are connected via networks. Trillions of network-connected objects are expected to emerge in the global network around 2020. This trend will require novel approaches for network design and modeling, new technologies to manage and control object mobility, and new and more flexible networks with the speed, capacity and environmental characteristics needed to accommodate communications among objects in the emerging world.
This program seeks joint Japan-US research projects that leverage each nation's expertise and address these challenges via work in three areas:
1. Network Design and Modeling: Addressing the design, modeling and component interaction challenges associated with increasingly dynamic and heterogeneous network technologies and applications at scale.
2. Mobility: Addressing issues such as security, control, provisioning, naming, discovery, and fast mobility in a world in which mobility is driven by factors such as social networks, the Internet of things, and cyber-physical systems.
3. Optical Networking: Finding novel approaches for sustainable high‐speed, high‐capacity, and energy-efficient networks that will accommodate communications required in "beyond trillions of devices and information objects" situations.
The DoD strives for superiority in a complex operational environment composed of heterogeneous and ever-evolving pieces such as sensors and processing hardware, software, and wired and wireless communications infrastructure. To achieve superiority in this dynamic environment, the DoD invests in fully networked and maximally-capable sensors and platforms at the cutting edge of performance. Software has emerged as a key enabler of capability and flexibility in DoD systems. Software is essential to providing a vast range of military capabilities by playing a fundamental role [1] that deepens, broadens, links, and integrates diverse system elements.
A pervasive DoD challenge is the production of software that provides the Warfighter superior and affordable military capability in an environment where hardware and sensor technology is rapidly advancing and systems' performance demands are ever-increasing. The Government Accountability Office has identified the increasing scope of software development as a contributing factor to poor acquisition program outcome [2]. OASD(R&E) has identified the need for advanced software engineering technology to enhance the producibility of software in this environment with the goal of speeding the delivery of affordable capability to the Warfighter and sustaining it.
The Board of Regents is seeking high quality, focused cooperative education and internship program proposals from Ohio institutions of higher education and their partners. This program has been funded
through one-time casino licensing fees; it is expected that the funds will be awarded to build systems to sustain co-ops and internships beyond the direct investment from the State and to ensure these workbased learning opportunities are relevant to the needs of students and businesses. Funds will be awarded to build the capability and capacity of programs to engage more students, more businesses,
and more faculty members in co-op and internship programs. The programs should address the talent needs of JobsOhio key industries.
PEPFAR South Sudan collaborates closely with the Republic of South Sudan (RSS) Ministry of Health (MOH) and other key partners to implement the HIV/AIDS National Strategic Plan (NSP) and has developed a five year PEPFAR strategy for the RSS. By targeting geographic areas with high HIV prevalence, PEPFAR will assist the RSS to reach the HIV programmatic goal/tipping point of 16,000 net new HIV patients on treatment and an annual reduction of new HIV infections to below 13,000 by 2017. A primary objective to reach this goal requires improved availability and quality of HIV services for families and other high-impact populations using a public health approach. Under this funding opportunity announcement (FOA), PEPFAR South Sudan prioritizes working in collaboration with the MOH to implement the following approaches: 1) expand HIV testing and counseling (HTC) through high-yield testing approaches, 2) improve access to ART services for pregnant and breastfeeding mothers, their partners, and children, 3) strengthen pediatric HIV testing, care and treatment within a family centered approach, and 4) advance the development of a sustainable infrastructure for South Sudan's workforce. This FOA solicits a combination of capacity building and mentorship for the RSS MOH at the national, state and local levels as well as through direct service delivery to complement the MOH, Global Fund and other partner efforts to scale-up HIV prevention, care and treatment programs in South Sudan.
This funding opportunity enables engineering departments to lead the nation by successfully achieving significant sustainable changes necessary to overcome long-standing issues in their undergraduate programs and educate inclusive communities of engineering students prepared to solve 21st century challenges. Computer science departments, whether administratively located in or outside an engineering program, are included in RED, as they share the same challenges as traditional engineering departments.
The Council on Undergraduate Research (CUR) is pleased to offer a limited number of conference grants. These grants will be used to subsidize the cost of attendance for individuals to attend either CUR Dialogues 2015: Climbing the Ladder to Funding Success: Diverse Sources, Diverse Pathways or Undergraduate Research Programs: Building, Enhancing, Sustaining.
Nominees are asked to provide contact and demographic information, a statement of expenses, a statement describing financial need, and a statement on expected outcomes from attending the conference. Historically under-represented groups and first-time attendees will be given priority. The review committee will work to ensure awardees represent a diverse subset of the applicants, specifically across discipline/CUR Division and geographic location.
Awardees will receive the conference grant as a rebate after their confirmed participation in the conference, and the submission of reimbursement paperwork.
The NSF Engineering (ENG) Directorate is launching a multi-year initiative, the Professional Formation of Engineers, to create and support an innovative and inclusive engineering profession for the 21st Century. Professional Formation of Engineers (PFE) refers to the formal and informal processes and value systems by which people become engineers. It also includes the ethical responsibility of practicing engineers to sustain and grow the profession. The engineering profession must be responsive to national priorities, grand challenges, and dynamic workforce needs; it must be equally open and accessible to all.
This funding opportunity enables engineering and computer science departments to lead the nation by successfully achieving significant sustainable changes necessary to overcome longstanding issues in their undergraduate programs and educate inclusive communities of engineering and computer science students prepared to solve 21^st-century challenges.
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.
The scope is science and technology development, experimentation, and demonstration in the areas of improving and personalizing individual, team, and larger instructional training methods to include the following:
- Competency definition and requirements analysis
- Measuring, diagnosing, and modeling human expertise and performance
- Rapid development of models of human cognition
- Specifying and validating, both empirically and practically, new classes of synthetic, computer-generated agents and teammates
- Training and rehearsal strategies and models
- Environments that support learning and proficiency achievement and sustainment during non-practice or under novel contexts
The Computer and Information Science and Engineering (CISE) Community Research Infrastructure (CCRI) program drives discovery and learning in the core CISE disciplines of the three participating divisions [(Computing and Communication Foundations (CCF), Computer and Network Systems (CNS), and Information and Intelligent Systems (IIS)] by funding the creation and enhancement of world-class research infrastructure. This research infrastructure will specifically support diverse communities of CISE researchers pursuing focused research agendas in computer and information science and engineering. This support involves developing the accompanying user services and engagement needed to attract, nurture, and grow a robust research community that is actively involved in determining directions for the infrastructure as well as management of the infrastructure.This should lead to infrastructure that can be sustained through community involvement and community leadership, and that will enable advances not possible with existing research infrastructure. Further, through the CCRI program, CISE seeks to ensure that researchers from a diverse range of academic institutions, including minority-serving and predominantly undergraduate institutions, as well as researchers from non-profit, non-academic organizations, have access to such infrastructure.
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.
The Office ofAdvanced Cyberinfrastructure (OAC) supports translational research and education activities in all aspects of advanced cyberinfrastructure (CI) that lead to deployable, scalable, and sustainable systems capable of transforming science and engineering research. Advanced CI includes the spectrum of computational, data, software, networking, and security resources, tools, and services, along with the computational and data skills and expertise, that individually and collectively can transform science and engineering. OAC supports advanced CI research to address new CI frontiers for discovery leading to major innovations, and supports the development and deployment processes, as well as expert services, necessary for realizing the research CI that is critical to the advancement of all areas of science and engineering research and education. OAC research investments are characterized by their translational nature, i.e., building on basic research results and spanning the design to practice stages. They are further characterized by one or more of the following key attributes: multi-disciplinary, extreme-scale, driven by science and engineering research, end-to-end, and deployable as robust research CI. Areas of translational research supported by OAC include systems architecture and middleware for extreme-scale systems, scalable algorithms and applications, and the advanced CI ecosystem. Principal investigators (PIs) are strongly encouraged to contact an OAC cognizant program director listed in this solicitation with a 1-page project summary for further guidance. For foundational computer and information science and engineering research, PIs are referred to the core research programs of the Computer and Communication Foundations (CCF), Computer and Network Systems (CNS), and Information and Intelligent Systems (IIS) divisions of CISE. Proposers are invited to submit proposals in one project class, which is defined as follows:
The Office of Advanced Cyberinfrastructure (OAC) supports translational research and education activities in all aspects of advanced cyberinfrastructure (CI) that lead to deployable, scalable, and sustainable systems capable of transforming science and engineering research. Advanced CI includes the spectrum of computational, data, software, networking, and security resources, tools, and services, along with the computational and data skills and expertise, that individually and collectively can transform science and engineering. OAC supports advanced CI research to address new CI frontiers for discovery leading to major innovations, and supports the development and deployment processes, as well as expert services, necessary for realizing the research CI that is critical to the advancement of all areas of science and engineering research and education.
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 Westwere 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. This solicitation continues the operation of a national network of BD Hubs. It builds on demonstrated strengths of the program, which has grown to include a set of BD Spokes affiliated with the BD Hubs, and is responsive to the recent developments in data science. For instance, the recently released report on Data Science for Undergraduates: Opportunities and Options from the National Academies of Sciences, Engineering, and Medicine exemplifies the urgency of multi-faceted education and training in data science. The BD Hubs will continue to nucleate regional collaborations and multi-sector projects, while fostering innovation in data science. The NSF BD Hubs program is aligned with NSFs Harnessing the Data Revolution (HDR) Big Idea, one of NSFs 10 Big Ideas for Future Investment. HDR is a visionary, national-scale activity to enable new modes of data-driven discovery, allowing fundamentally new questions to be asked and answered in science and engineering frontiers, generating new knowledge and understanding, and accelerating discovery and innovation.
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 objective of this Funding Opportunity Announcement (FOA) is to support the development of new and innovative multipurpose prevention technologies (MPT) with rheological/biophysical properties and product user perceptions compatible with current long-acting reversible contraceptive (LARC) strategies (look, feel, effectiveness, safety and duration of action) for the dual purpose of preventing pregnancy and HIV infection in women. MPTs proposed for development must be dual indication and prevent pregnancy and HIV infection and have drug delivery systems (DDS) capable with sustained/extended release of both drugs. MPTs proposed for development must use a licensed contraceptive. This FOA requires an industry partner, milestones linked to Go/No Go decisions and year 5 funding requires submission of a pre-IND application to the FDA.
The landscape of jobs and work is changing at unprecedented speed, driven by the development of new technologies that have moved from the factory floor to an expanding array of knowledge and service occupations. These changes promise benefits to the Nation in the creation of new industries and occupations, increased productivity, opportunity for innovation, and sustained global leadership. But there are risks as well. Technological advances scale back the need for some workers, and in some cases, eliminate job sectors, with consequences to displaced workers who must adapt to emerging new technologies and the changing economy through retraining and reskilling. The Future of Work at the Human-Technology Frontier (FW-HTF) is one of 10 new and far-sighted Big Ideas for Future Investments announced by NSF in 2016.
