Cyberinfrastructure for Public Access and Open Science

The Algorithms for Modern Power Systems (AMPS) program will support research projects to develop the next generation of mathematical and statistical algorithms for improvement of the security, reliability, and efficiency of the modern power grid. The program is a partnership between the Division of Mathematical Sciences (DMS) at the National Science Foundation (NSF) and the Office of Electricity Delivery & Energy Reliability (OE) at the U.S. Department of Energy (DOE).

Sponsored by the National Science Foundation (NSF), America's Seed Fund offers up to $2 million for U.S.-based startups and small businesses developing innovative technology. Project pitches are accepted on a rolling basis, with official responses from NSF typically taking one month.

Purpose: The California Advanced Services Fund Broadband Adoption Account provides grants that will increase publicly available or after-school broadband access and digital inclusion, such as grants for digital literacy training programs and public education to communities with limited broadband adoption. Description: The California Public Utilities Commission will give preference to programs and projects in communities with demonstrated low broadband access, including low-income communities, senior citizen communities, and communities facing socioeconomic barriers to broadband adoption. Eligible Projects: Digital Literacy Projects- Digital inclusion projects may include digital literacy training programs and public education to communities with limited broadband adoption, including low-income communities, senior citizen communities, and communities facing socioeconomic barriers to broadband adoption. Broadband Access Projects- may include those that provide free broadband access in community training rooms or other public spaces, such as local government centers, senior citizen centers, schools, public libraries, nonprofit organizations, and community-based organizations. It can also include funding community outreach, such as analysis, comparison of Internet plans with the community, and call centers that will increase broadband access and adoption.

This Funding Opportunity Announcement (FOA) supports the development of early-stage or new data repositories and knowledge bases as distinct and separate resources that could be valuable for the biomedical research community.

The National Library of Medicine (NLM) supports innovative research and development in biomedical informatics and data science. This funding opportunity focuses on biomedical discovery and data-powered health, integrating streams of complex and interconnected research outputs that can be translated into scientific insights, clinical care, public health practices, and personal wellness to ensure the research is scalable, reproducible, and generalizable. The scope of NLM's interest in these research domains is broad, with emphasis on new and innovative methods and approaches to foster data driven discovery in the biomedical and clinical health sciences as well as domain-independent, scalable, and reusable approaches to discovery, curation, analysis, organization, and management of health-related data and digital objects.

The National Library of Medicine (NLM) supports innovative research and development in biomedical informatics and data science. This funding opportunity focuses on biomedical discovery and data-powered health, integrating streams of complex and interconnected research outputs that can be translated into scientific insights, clinical care, public health practices, and personal wellness to ensure the research is scalable, reproducible, and generalizable. The scope of NLM's interest in these research domains is broad, with emphasis on new and innovative methods and approaches to foster data driven discovery in the biomedical and clinical health sciences as well as domain-independent, scalable, and reusable approaches to discovery, curation, analysis, organization, and management of health-related data and digital objects.

The purpose of this Notice of Funding Opportunity (NOFO) is to advance the development of novel informatics and data science approaches that can help individuals understand and improve their health through actionable insights. NLM seeks applications that further the science of personal health informatics by providing meaningful and actionable insights to individuals through innovative personal health data collection, integration, analysis, and personalized risk assessments and interpretation. Applications seeking to advance the understanding of how informatics tools, systems, and platforms can best present the results, interpretation, and limitations of personalized assessments for the benefit of individuals are encouraged. Applications should include end user engaged approaches and real-world evaluation to inform the design of generalizable, reusable, and scalable personal health informatics tools, systems, and platforms for the benefit of individuals in understanding and improving their health.

This Notice of Funding Opportunity Announcement (NOFO) solicits resource grant applications for projects that will provide accurate, useful, usable, and understandable health information to populations that experience health disparities and their health care providers. This NOFO supports the development of resources that can be used to improve health and well-being and that lead to reductions in health disparities. Access to accurate, useful, usable, and understandable health information is an important factor when managing health and health care. Proposed projects should harness the capabilities of information technology and medical or health libraries to disseminate clear, evidence-based health-related information in formats used by individuals and their health care providers. Proposed projects should emphasize the development and deployment of new information resources or services, or expand and improve an existing resource or service, to meet the needs of populations experiencing health disparities and to promote health access for all.