Group items tagged

The foundation has six topic categories for funding consideration, including consumer, caregiver, and community education; professional development and education; research utilization and dissemination; assistive technology; conferences and symposia; and consumer guides. Projects should be designed to improve the quality of life for individuals with SCI/D, educate consumers about the consequences of and complications associated with SCI/D, improve the knowledge and skills of SCI/D healthcare professionals, and aim to prevent the occurrence and complications of new SCI/D.

The core technology to be developed in this program is the capability to automatically elicit information from a malicious adversary in order to identify, disrupt, and investigate social engineering attacks. ASED will do this by mediating communications between users and potential attackers with bots that actively detect attacks and coordinate investigations to discover the identity of the attacker.

NSF's Directorate for Engineering (ENG) and the Directorate for Computer and Information Science and Engineering (CISE) have joined to support the Research Experiences for Teachers (RET) in Engineering and Computer Science program. This program supports active long-term collaborative partnerships between K-12 Science, Technology, Engineering, Computer and Information Science, and Mathematics (STEM) in-service and pre-service teachers, full-time community college faculty, and university

This FOA solicits new theories, computational models, and statistical tools to derive understanding of brain function from complex neuroscience data. Proposed tools could include the creation of new theories, ideas, and conceptual frameworks to organize/unify data and infer general principles of brain function; new computational models to develop testable hypotheses and design/drive experiments; and new mathematical and statistical methods to support or refute a stated hypothesis about brain function, and/or assist in detecting dynamical features and patterns in complex brain data. It is expected that the tools developed under this FOA will be made widely available to the neuroscience research community for their use and modification. Investigative studies should be limited to validity testing of the tools being developed.

This FOA solicits new theories, computational models, and statistical tools to derive understanding of brain function from complex neuroscience data. Proposed tools could include the creation of new theories, ideas, and conceptual frameworks to organize/unify data and infer general principles of brain function; new computational models to develop testable hypotheses and design/drive experiments; and new mathematical and statistical methods to support or refute a stated hypothesis about brain function, and/or assist in detecting dynamical features and patterns in complex brain data. It is expected that the tools developed under this FOA will be made widely available to the neuroscience research community for their use and modification. Investigative studies should be limited to validity testing of the tools being developed.

This solicitation extends the Collaborative Research in Computational Neuroscience program for three years. Proposals for collaborations involving Japan are now supported through a new partnership with the National Institute of Information and Communications Technology. Please see the proposal preparation instructions and country-specific instructions and limitations in Sections V and VIII of this solicitation, and the companion documents published by CRCNS partner agencies referenced in Section VIII. The description of scientific topics and approaches has been updated in Section II of this solicitation. Agency contacts have been updated in Section VIII. Results from prior NSF, NIH, and/or CRCNS support must be included in the Project Description if any PI or co-PI identified on the project has received NSF funding, NIH funding, or CRCNS funding from another participating agency, with a start date in the past five years.

The BAA objective is to conceive, develop and demonstrate innovative and affordable technologies that provide network requirements of future autonomous swarm applications which will differ drastically from information exchange requirements for current applications. For example, many of the collaborative tasks defined in Part VIII-References [1] implicitly require communications to enable intra-agent collaboration in severely contested environments, something which existing military and commercial networking protocols are unable to achieve. New networking paradigms will be required before the Air Force can successfully implement future swarm-based autonomous missions. Therefore, the primary interest will be in techniques that will allow for the network-optimal use of existing point-to-point data links. This will primarily involve a combination of protocols at layer three and above, but will also include distributed beamforming techniques.

The program supports four main research themes that are envisioned to advance the goal of ubiquitous co-robots:scalability,customizability,lowering barriers to entry, andsocietal impact,includinghuman safety. Topics addressingscalabilityinclude how robots can collaborate effectively with orders of magnitude more humans or other robots than is handled by the current state of the art; how robots can perceive, plan, act, and learn in uncertain, real-world environments, especially in a distributed fashion; and how to facilitate large-scale, safe, robust and reliable operation of robots in complex environments.Customizabilityincludes how to enable co-robots to adapt to specific different tasks, environments, or people, with minimal modification to hardware and software; how robots can personalize their interactions with people; and how robots can communicate naturally with humans, both verbally and non-verbally. Topics inlowering barriers to entryshould focus on lowering the barriers for conducting fundamental roboticsresearchand research on integrated robotics application. This may include development of open-source co-robot hardware and software, as well as widely-accessible testbeds. Outreach or using robots in educational programs do not, by themselves, lower the barriers to entry for robotics research. Topics insocietal impactinclude fundamental research to establish and infuse robotics into educational curricula, advance the robotics workforce through education pathways, and explore the social, economic, ethical, security, and legal implications of our future with ubiquitous collaborative robots.

The Formal Methods in the Field (FMitF) program aims to bring together researchers in formal methods with researchers in other areas of computer and information science and engineering to jointly develop rigorous and reproducible methodologies for designing and implementing correct-by-construction systems and applications with provable guarantees. FMitF encourages close collaboration between two groups of researchers. The first group consists of researchers in the area of formal methods, which, for the purposes of this solicitation, is broadly defined as principled approaches based on mathematics and logic, including modeling, specification, design, program analysis, verification, synthesis, and programming language-based approaches. The second group consists of researchers in the "field," which, for the purposes of this solicitation, is defined as a subset of areas within computer and information science and engineering that currently do not benefit from having established communities already developing and applying formal methods in their research. This solicitation limits the field to the following areas that stand to directly benefit from a grounding in formal methods: computer networks, cyber-human systems, distributed /operating systems, embedded systems, and machine learning. Other field(s) may emerge as priority areas for the program in future years, subject to the availability of funds.

The OFRN Round 5 Sustaining Ohio's Aeronautical Readiness and Innovation in the Next Generation (SOARING) Opportunity Announcement is focused on expanding Ohio's research and development capabilities across the state's academic institutions and business in support of Ohio-based federal partner needs, which ultimately promotes Ohio's economic growth.  OFRN Round 5 Areas of Interest (AOIs) include topics in Unmanned Aerial Systems (UAS), Artificial Intelligence, Human Factors, Data Analytics, Space Commercialization, Quantum Communications and Advanced Power Systems.  This announcement seeks to leverage Ohio's unique research capabilities and its federal partner's expertise to accelerate technology development and innovation by increasing collaboration across government, academic, and industry organizations. 

An initiative of the Open Technology Fund, the Internet Freedom Fund strives to build the capacity of individuals, organizations, and companies working to advance technology-centered efforts designed to strengthen Internet freedom and promote human rights by circumventing repressive censorship and surveillance, improving related digital security capabilities, and contributing to the overall health of the Internet. To that end, the fund welcomes applications focused on creating new open source circumvention technologies that fill a current need of target users; improve the security, usability, and adaptability of existing open source Internet freedom technologies; and/or provide new or deeper insight into the challenges of frontline communities that ultimately contribute to the improvement of technological solutions. The fund also supports applied research; research that focuses on real-time monitoring and analysis of both technical and political threats to Internet freedom; new content redistribution methods able to reintroduce content behind firewalls; and next-generation tools that move beyond traditional "cat-and-mouse" circumvention techniques.

The Core Infrastructure Fund (CIF) strives to uphold and increase capacity for individuals, organizations, and companies working to fortify the foundational components of demonstrably important technology relied upon by people in repressive countries. Ideal applications are: open in nature, collaborative, promote a broader understanding of existing challenges and limitations, are preemptive in approach, and/or exist at the core of the Internet's ecosystem. Common applicants come from the community of developers and organizers working on open-source projects recognized as critical dependencies of one or more active platforms or tools strengthening Internet freedom and digital security. Ideal applications for this fund focus on supporting: Key developers or organizers so they can work full time on crucial core efforts in need of additional support; New developers or organizers focused on improving security standards, quality assurance, and best practices within core infrastructure projects; Developers, authors, or organizers drafting or promoting digital security and civil society needs within standards and protocols; Researchers exploring new methods of circumvention that would improve the resiliency of widely utilized tools; Specific outcomes, such as the necessary maintenance and upgrades to existing open source projects (database, hosting, or other tool migration; rewriting test suites; major new features); Efforts that make existing projects more accessible and easier to contribute to (ex. documentation, tool migration, refactoring code, testing); Efforts that develop new or evolve existing organizational and governance structures and sustainability models beyond work-for-hire; Efforts that increase the understanding and awareness of relevant actors in this space, their roles, and how they contribute to maintaining the Internet's core ecosystem;

The purpose of this notice of funding opportunity (NOFO) is to support a research project that aims to develop and implement an influenza-like illness (ILI)-specific student absentee monitoring system in kindergarten through twelfth grade (K-12) schools and assess its usability for early detection of influenza, SARS-CoV-2, and other respiratory pathogen transmission in schools and surrounding communities. To achieve this aim, the project team will: 1) rapidly determine the causes of school absenteeism in students across selected school district(s) over a three-year period; 2) detect within-household transmission of influenza and SARS-CoV-2 in households from which a student has been absent from school due to ILI; and 3) assess comparability between influenza-specific and SARS-CoV-2-specific student absenteeism data from the participating schools and multiple layers of complementary influenza and SARS-CoV-2 surveillance data routinely collected in the health care facilities serving the general population of this school district.

NSF-supported science and engineering research increasingly relies on cutting-edge infrastructure. With its Major Research Instrumentation (MRI) program and Major Multi-user Facilities (Major Facilities) projects, NSF supports infrastructure projects at the lower and higher ends of infrastructure scales across science and engineering research disciplines. The Mid-scale Research Infrastructure Big Idea is intended to provide NSF with an agile, Foundation-wide process to fund experimental research capabilities in the mid-scale range between the MRI and Major Facilities thresholds. NSF defines Research Infrastructure (RI) as any combination of facilities, equipment, instrumentation, or computational hardware or software, and the necessary human capital in support of the same. Major facilities and mid-scale projects are subsets of research infrastructure. The NSF Mid-scale Research Infrastructure-1 Program (Mid-scale RI-1) supports the design or implementation of unique and compelling RI projects. Mid-scale RI-1 implementation projects may include any combination of equipment, instrumentation, cyberinfrastructure, broadly used large-scale datasets, and the commissioning and/or personnel needed to successfully complete the project, or the design efforts intended to lead to eventual implementation of a mid-scale class project. Mid-scale RI-1 design projects will include the design efforts intended to lead to eventual implementation of a mid-scale class RI project. Mid-scale RI-1 projects should fill a research community-defined scientific need or enable a national research priority to be met. Mid-scale RI-projects should also enable US researchers to remain competitive in a global research environment and involve the training of a diverse workforce engaged in the design and implementation of STEM infrastructure.

NGA welcomes all innovative ideas for path-breaking research that may advance the GEOINT mission. The mission of the National Geospatial-Intelligence Agency (NGA) Research Directorate is to deliver future Geospatial-Intelligence (GEOINT) capabilities to users for operational impact. NGA Research supports the National Security Strategy by solving hard defense and intelligence problems for the Intelligence Community and Department of Defense. 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 Boosting Innovative GEOINT-Research Broad Agency Announcement (BIG-R BAA) invites proposers to submit innovative basic and applied research and development concepts that address one or more of the following technical domains: (1) Foundational GEOINT, (2) Advanced Phenomenologies, and (3) Analytic Technologies. It is NGA's intent to solicit basic and applied research under this BAA. NGA seeks proposals from qualified proposers for path-breaking GEOINT research in areas of potential interest to NGA.

The objectives of the DoD STTR Program include stimulating technological innovation, strengthening the role of small business in meeting DoD research and development needs, fostering and encouraging participation by minority and disadvantaged persons in technological innovation, and increasing the commercial application of DoD-supported research or research and development results. Focus areas: - 5G - AI and ML - Autonomy - Biotechnology - Cybersecurity - Direct Energy - Hypersonics - Microelectronics - Networked Command, Control & Communications - Nuclear - Quantum Science - Space - General Warfighting Requirements

Through this Funding Opportunity Announcement (FOA), the National Cancer Institute (NCI) as a part of its Beau Biden Cancer Moonshot Initiative invites submission of applications requesting support for projects that will accelerate cancer research. Specifically, this FOA targets the following area designated as a scientific priority by the Blue Ribbon Panel (BRP) as Recommendation I: Generation of Human Tumor Atlases. The overarching goal of this FOA is to accelerate research efforts conducted and led by the Human Tumor Atlas Network (HTAN, humantumoratlas.org) via the implementation of three-dimensional (3D) imaging technologies that will allow for a comprehensive view of the dynamic multidimensional ecosystems that define tumors in humans. Each project will lead to the multiplexed 3D characterization of at least one cancer transition investigated by the HTAN (pre-malignant to malignant, primary to metastatic, therapy responsive to resistant). The data and analytical tools generated through this FOA will be made available for use by the research and clinical communities through the activities of the HTAN Data Coordinating Center.

Solid research is the underlying driving force to crystallize fearless creativity and innovation. While we are committed to run in-house research and engineering, we are also excited to collaborate with academic partners to facilitate exploration of new and promising research. The Sony Focused Research Award provides an opportunity for university faculty and Sony to conduct this type of collaborative, focused research. The award provides up to $150K USD* in funds, and may be renewed for subsequent year(s). A list of candidate research topics appears below: - Manipulation Secure Image Sensing - Self-Supervised Learning for Spiking Neural Networks with Event-Based Vision Sensor - Deep Learning & Deep Fusion Towards Automotive Scene Perception - Designing and Implementing Camera ISP Algorithms Using Deep Learning and Computer Vision - Robust Mesh Tracking for Volumetric Capture - Advanced Image Processing Enabled by AI - Novel Actuator - Machine Learning/AI for Wireless Communications - Reconfigurable Reflector Type Materials - Individual Treatment Effect Estimation - Acoustic Metamaterials - Novel Technologies for GaN-based VSCELs - Intelligent Sensing of Patient-Reported Outcomes

The worldwide growth of wireless communication, navigation, and telemetry has provided immense societal benefits including mobile broadband data, Internet of Things (IoT), mobile healthcare, and intelligent transportation systems. These and other applications including 5G and beyond wireless systems call for innovations that can circumvent the challenges of radio spectrum scarcity and interference and foster the growth of ubiquitous, high speed, low latency connectivity. Commercial applications like the above must operate in harmony with scientific uses such as research on radio astronomy, Earth and atmospheric sciences, and must not inhibit weather prediction, polar research, and other nationally vital activities, all of which are dependent upon access to the radio spectrum. The National Science Foundation (NSF) continues to support wireless spectrum research and the scientific uses of the electromagnetic spectrum through multiple programs that enable fast, accurate, dynamic coordination and usage of our limited spectrum resource. These programs have created an opportune ground to build and create a large center-based ecosystem for spectrum research, which is the target of this SII-Center program.

The Pandemic Response Challenge is a $500K, four-month challenge that focuses on the development of data-driven AI systems to predict COVID-19 infection rates and prescribe Intervention Plans (IPs) that regional governments, communities, and organizations can implement to minimize harm when reopening their economies.