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Knowledge Network, also branded as British Columbia's Knowledge Network, is a Canadian publicly funded educational cable television network serving the province of British Columbia. It is owned by the Knowledge Network Corporation, a Crown corporation of the Government of British Columbia,[1] and began broadcasting on January 12, 1981. Michelle van Beusekom is the CEO.[2]

Knowledge Network's broadcast licence is for satellite-to-cable programming. The network is available on the Bell Satellite TV satellite service, on channel 268, on Shaw Direct channel 354, and on TELUS Optik TV channel 117 (HD) & 9117 (SD). It has also been broadcast over-the-air in remote locations throughout British Columbia, with these repeater sites being operated by local volunteers in the few areas of the province where cable television is not available. The network used the callsign CKNO,[3] although the transmitters were assigned numeric callsigns with the prefix "CH" due to being low-powered.[4][5]

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The network obtains an average of 1.5 million viewers, or over one-third of British Columbians per week.[8] Currently, within the province, the station holds the number one position on weekday mornings for kids age two to six. Also, it has experienced an increase in viewers age 29 to 49 for its prime time programs.

In 2022, NSF and the White House Office of Science and Technology Policy (OSTP) engaged roughly 150 subject matter experts, end-users, and constituents from government, industry, academia, nonprofits and other communities in an Open Knowledge Network Innovation Sprint. Harnessing the collective insights of these experts, the Sprint resulted in an Open Knowledge Network Roadmap outlining a path to a OKN. The OKN is envisioned as an open, interconnected network of knowledge graphs that serves as public, accessible infrastructure and enables development of a variety of solutions for a broad set of societal challenges using open, public data.

Considering that the creation of the Proto-OKN is fundamentally a sociotechnical effort, proposals should demonstrate consideration of human, social, and organizational factors, as well as being technical efforts. User-centered design approaches, user involvement and alignment, and customer engagement are essential to ensuring an impactful and sustainable outcome. Therefore, projects must address both the technological and social dimensions of the Proto-OKN and describe how those dimensions are integrated together. Deep engagement is necessary among domain knowledge experts and a host of other constituents including data owners, decision makers, various end-user communities, tool builders, and knowledge representation experts. Proposals may integrate information from a range of domains of interest to NSF and other federal government agencies including, but not limited to: agriculture, civil infrastructure, disaster mitigation and response, crime and justice, energy, environmental quality, learning environments, health and wellness including healthcare, human services, accessibility and inclusivity, workforce development, resiliency, safety, social services, telecommunications, transportation and mobility, urban and rural planning, and water resources.

Proposals received by NSF are assigned to the appropriate NSF program for acknowledgement and, if they meet NSF requirements, for review. All proposals are carefully reviewed by a scientist, engineer, or educator serving as an NSF Program Officer, and usually by three to ten other persons outside NSF either as ad hoc reviewers, panelists, or both, who are experts in the particular fields represented by the proposal. These reviewers are selected by Program Officers charged with oversight of the review process. Proposers are invited to suggest names of persons they believe are especially well qualified to review the proposal and/or persons they would prefer not review the proposal. These suggestions may serve as one source in the reviewer selection process at the Program Officer's discretion. Submission of such names, however, is optional. Care is taken to ensure that reviewers have no conflicts of interest with the proposal. In addition, Program Officers may obtain comments from site visits before recommending final action on proposals. Senior NSF staff further review recommendations for awards. A flowchart that depicts the entire NSF proposal and award process (and associated timeline) is included in PAPPG Exhibit III-1.

One of the strategic objectives in support of NSF's mission is to foster integration of research and education through the programs, projects, and activities it supports at academic and research institutions. These institutions must recruit, train, and prepare a diverse STEM workforce to advance the frontiers of science and participate in the U.S. technology-based economy. NSF's contribution to the national innovation ecosystem is to provide cutting-edge research under the guidance of the Nation's most creative scientists and engineers. NSF also supports development of a strong science, technology, engineering, and mathematics (STEM) workforce by investing in building the knowledge that informs improvements in STEM teaching and learning.

The National Science Foundation strives to invest in a robust and diverse portfolio of projects that creates new knowledge and enables breakthroughs in understanding across all areas of science and engineering research and education. To identify which projects to support, NSF relies on a merit review process that incorporates consideration of both the technical aspects of a proposed project and its potential to contribute more broadly to advancing NSF's mission "to promote the progress of science; to advance the national health, prosperity, and welfare; to secure the national defense; and for other purposes." NSF makes every effort to conduct a fair, competitive, transparent merit review process for the selection of projects.

Broader impacts may be accomplished through the research itself, through the activities that are directly related to specific research projects, or through activities that are supported by, but are complementary to, the project. NSF values the advancement of scientific knowledge and activities that contribute to achievement of societally relevant outcomes. Such outcomes include, but are not limited to: full participation of women, persons with disabilities, and other underrepresented groups in science, technology, engineering, and mathematics (STEM); improved STEM education and educator development at any level; increased public scientific literacy and public engagement with science and technology; improved well-being of individuals in society; development of a diverse, globally competitive STEM workforce; increased partnerships between academia, industry, and others; improved national security; increased economic competitiveness of the United States; and enhanced infrastructure for research and education.

Data Management Plan: The Data Management Plan must not exceed two (2) pages. It should summarize how all the data and software products associated with the final deployed product, including the knowledge graph and other related data/software products, will be made available for continued access after the end of the project duration. While it is expected that all the aspects related to data and software access would already have been introduced and described throughout the main Project Description section, the Data Management Plan provides the opportunity to summarize the key issues related to persistence and access in a single location.

Attribution of support in publications must acknowledge the National Science Foundation, partnering federal agencies, the award number, and the program, by including the phrase, "as part of the NSF Proto-OKN Program." Precise wording of the acknowledgement may change based on the partners funding the work and will be stipulated in the award letter or award-specific programmatic terms and conditions.

As the network broadens and deepens, a clinician sitting with a patient could access information to help make a tailored assessment, drawing from molecular and demographic datasets, accessing results from patients participating in a recent and related study, connecting that with clinical imaging and behavioral information, and comparing the patient across a population of other patients who are both similar and different. Importantly, building the network is a vast and continuous undertaking, but it need not be complete to contribute in powerful ways. Thus, pilot projects, even on a small scale, can have an impact.

The knowledge network also will enable researchers to interact to share new findings, processes and ideas. Those developing the pilot project are carefully considering provenance: a thorough auditing system will track uploads, downloads and further uses of current data. In addition, the efforts of building the UCSF knowledge network are yielding modular computational tools that can be adapted to a variety of needs and data environments, with an eye to future use by researchers and clinicians with a wide range of needs.

Knowledge Management Services, as provided by the CASCOM G-6 Knowledge Management Division at Fort Lee, seeks to fill knowledge gaps that the requesting organizations may encounter. We deliver online meeting capabilities through SKN-Live allowing for synchronous collaborations and knowledge sharing world-wide. Asynchronous communications are accomplished through the use of SustainNet and Knowledge Networks, a set of tools designed to allow discussions and research capabilities for Military, Civilian and Contractors using a DoD Common Access Card (CAC).

The members operate independently, setting their own priorities for projects relevant to their country or domain. They are connected through the Open Knowledge Network to support each other, to share expertise, tools and materials, and to amplify open knowledge activities around the globe. ff782bc1db