Science and technology

Key indicators

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  • Data Visualization: 71-607-X2022018
    Description: This dashboard shows traffic count data that is obtained from traffic camera imagery using a computer vision-based system developed at the Data Exploration and Integration Lab (DEIL) at Statistics Canada. The system periodically pulls traffic imagery from the Application Programmable Interfaces (APIs) of municipal and provincial traffic camera programs. Vehicle detection was implemented using the open source You Only Look Once version 3 (YOLOv3) object detection model that was trained on the Common Objects in Context (COCO) dataset. The output of the model is used to generates real-time counts of the detected vehicles (cars, trucks, buses, motorcycles).
    Release date: 2024-06-17

  • Articles and reports: 11-621-M2024006
    Description: This study examines the economic footprint created by the Canadian research and development pharmaceutical sector on the Canadian economy in 2021, including a focus on the contribution of Innovative Medicines Canada’s members. While the impact of the sector’s medical research is well known, less known are the economic impacts of the sector on the Canadian economy, such as the value generated, the jobs supported and the investments made.
    Release date: 2024-06-10

  • Table: 33-10-0822-01
    Geography: Canada, Province or territory
    Frequency: Occasional
    Description: Technologies the business or organization plans to adopt or incorporate over the next 12 months, by North American Industry Classification System (NAICS), business employment size, type of business, business activity and majority ownership, second quarter of 2024.
    Release date: 2024-05-27

  • Table: 33-10-0823-01
    Geography: Canada, Province or territory
    Frequency: Occasional
    Description: Challenges faced by business or organization when adopting or incorporating technologies, by North American Industry Classification System (NAICS), business employment size, type of business, business activity and majority ownership, second quarter of 2024.
    Release date: 2024-05-27

  • Table: 33-10-0825-01
    Geography: Canada, Province or territory
    Frequency: Occasional
    Description: Use of artificial intelligence (AI) by businesses and organizations in producing goods or delivering services over the last 12 months, by North American Industry Classification System (NAICS), business employment size, type of business, business activity and majority ownership, second quarter of 2024.
    Release date: 2024-05-27

  • Table: 33-10-0826-01
    Geography: Canada, Province or territory
    Frequency: Occasional
    Description: Extent to which artificial intelligence (AI) has reduced tasks previously performed by employees and the impact of AI use on total employment, by North American Industry Classification System (NAICS), business employment size, type of business, business activity and majority ownership, second quarter of 2024.
    Release date: 2024-05-27

  • Table: 33-10-0827-01
    Geography: Canada, Province or territory
    Frequency: Occasional
    Description: Changes made by business or organization when using artificial intelligence (AI) to produce goods or deliver services, by North American Industry Classification System (NAICS), business employment size, type of business, business activity and majority ownership, second quarter of 2024.
    Release date: 2024-05-27

  • Table: 33-10-0828-01
    Geography: Canada, Province or territory
    Frequency: Occasional
    Description: New or significantly improved goods or services brought onto the market from 2020 to 2023, by North American Industry Classification System (NAICS), business employment size, type of business, business activity and majority ownership, second quarter of 2024.
    Release date: 2024-05-27

  • Table: 33-10-0829-01
    Geography: Canada, Province or territory
    Frequency: Occasional
    Description: Innovation of new products or services and most significant recent product innovation was new to its market, by North American Industry Classification System (NAICS), business employment size, type of business, business activity and majority ownership, second quarter of 2024.
    Release date: 2024-05-27

  • Articles and reports: 22-20-00012024002
    Description: This article explores trends in patent applications made by Canadian-resident businesses for advanced technologies from 2001 to 2019, drawing on Eurostat's aggregation of high-tech patents. Approximately one-third of applications fall under high-tech categories, the bulk of which were associated with Communication, Computer, and Automated business equipment technologies. While these fields saw growth until 2012, a subsequent decline occurred, notably in Computer and Electronic Product Manufacturing. Biotechnology, Semiconductors, and Lasers showed limited dynamism, while aviation technology applications surged by nearly twentyfold over the period.
    Release date: 2024-05-21
Data (494)

Data (494) (410 to 420 of 494 results)

Analysis (529)

Analysis (529) (510 to 520 of 529 results)

  • Articles and reports: 11F0019M1997107
    Geography: Canada
    Description:

    The debate over the appropriate function of government policy for research and development (R&D) subsidies brings into focus the different roles that are played by large and small firms in the innovation process. Small firms, it is often claimed, have different tendencies to use R&D facilities than large firms and, therefore, require the development of special programs that are directed at this sector. This paper examines the differences in the innovation profiles of small and large firms, and how R&D intensity and efficacy varies across different size classes. It investigates the contribution that R&D makes to success in the small and medium-sized population and the types of policies that small firms feel are the most appropriate to reduce the impediments to innovation that they face.

    The paper finds a number of differences between large and small firms in the tendency to innovate and to use R&D facilities. Small firms can be divided into two groups. The first group consists of firms that resemble large firms in that they perform R&D and generate new products and processes primarily through their own efforts. The second are those who rely upon customers and suppliers for their sources of ideas for innovation. Large firms, by way of contrast, tend to rely more heavily on R&D. While they too rely on networks for ideas, their networks focus more heavily on relationships with other firms that belong to the same firm.

    Most of the differences between small and large firms are explained by the fact that firms of different sizes specialize in different parts of the production process. Firms of different sizes serve different niches; they each have their own advantages. Small firms are more flexible but can suffer from cost disadvantages due to scale. They overcome their disadvantages by networking with their customers and by showing the same flexibility in their R&D process that they exhibit elsewhere. They rely less on dedicated R&D facilities and more on the flexible exploitation of R&D as opportunities arise. They also network with customers in order to adopt their suggestions for new innovations.

    Release date: 1997-09-17

  • Stats in brief: 88-001-X19970098001
    Description:

    The Higher Education sector is composed of "all universities, colleges of technology and other institutes of post-secondary education, whatever their source of finance or legal status.

    Release date: 1997-08-20

  • Stats in brief: 88-001-X19970088002
    Geography: Province or territory
    Description:

    Research and development is defined as creative work undertaken on a systematic basis to increase the stock of scientific and technical knowledge and to use this knowledge in new applications.

    Release date: 1997-08-15

  • Stats in brief: 88-001-X19970068027
    Geography: Canada
    Description:

    In 1995, software research and development expenditures account for 36% of all industrial research and development performed.

    Release date: 1997-07-21

  • Stats in brief: 88-001-X19970058005
    Description:

    The statistics presented in this bulletin are derived from our latest survey of industrial research and development activities in Canada.

    Release date: 1997-05-30

  • Stats in brief: 88-001-X19970048006
    Description:

    This document provides recent information on the performance and funding of Federal Government Expenditures on Scientific Activities, 1997-98.

    Release date: 1997-05-07

  • Stats in brief: 88-001-X19970038007
    Description:

    Statistics presented are derived from a survey of eight provincial research organizations: the InNOVAcorp (formerly the Nova Scotia Research Foundation Corporation), the New Brunswick Research and Productivity Council, the "Centre de recherche industrielle du Québec", ORTECH Corporation (Ontario), the Economic Innovation and Technology Council (Manitoba), the Saskatchewan Research Council, the Alberta Research Council and the NUNAVUT Research Institute (formerly the Science Institute of the Northwest Territories).

    Release date: 1997-04-11

  • Stats in brief: 88-001-X19970028008
    Description:

    The size of spending on research and development performed by a firm may be influenced by the size of the firm, the country of control, or the industry in which the firm operates.

    Release date: 1997-03-21

  • Stats in brief: 88-001-X19960137978
    Description:

    This release provides data on the research and development activities of the private non-profit sector. Although the contribution of this sector to the national R&D effort is small in dollar terms, its impact, particularly in the university sector, is significant.

    Release date: 1996-12-23

  • Articles and reports: 88-001-X19960127977
    Description:

    The analysis presented in this report is a joint project of the Chemicals and Bio-Industries Branch of Industry Canada and the Science and Technology Redesign Project of Statistics Canada.

    Release date: 1996-12-03
Reference (43)

Reference (43) (30 to 40 of 43 results)

  • Surveys and statistical programs – Documentation: 5096
    Description: This pilot survey will provide information about federal science expenditures towards developing countries by type of relevant activities in science and technologies and about obstacles and cooperative arrangements with foreign partners.

  • Surveys and statistical programs – Documentation: 5097
    Description: The statistical information collected by this survey is useful for better understanding the measurement of the effort invested by Canada in research and development directed toward developing countries. The data collected by this survey contribute to the federal research and development strategy and are covered in an agreement signed with the Office of the National Science Advisor.

  • Surveys and statistical programs – Documentation: 5109
    Description: Higher Education Research and Development (HERD) Estimates are funding based investments in sponsored research and development (R&D) expenditures in the higher education sector in Canada.

  • Surveys and statistical programs – Documentation: 5113
    Description: The survey collects expenditure data on health research and development activities by therapeutic class in the Canadian business enterprise sector.

  • Surveys and statistical programs – Documentation: 5140
    Description: Science, Innovation and Electronic Information Division is engaged in a joint project with Industry Canada to investigate the commercialization of innovation process in Canadian firms of small and medium size.

  • Surveys and statistical programs – Documentation: 5154
    Description: The objective of this survey is to better understand the issues and difficulties encountered by enterprises performing research and development (R&D) work, at low levels of expenditures.

  • Surveys and statistical programs – Documentation: 5171
    Description: Statistics Canada has undertaken this survey to provide statistical information on the strategic decisions, innovation activities and operational tactics used by Canadian enterprises. The survey also collects information on the involvement of enterprises in global value chains.

  • Surveys and statistical programs – Documentation: 5183
    Description: The survey of intellectual property management (SIPM) provides statistical information on the use and management of Intellectual Property (IP) by Canadian enterprises in selected industry groups.

  • Surveys and statistical programs – Documentation: 5188
    Description: Results from this survey will assist in the formulation of key intellectual property (IP) indicators for the federal government. The data collected will be used by federal science policy analysts.

  • Surveys and statistical programs – Documentation: 5193
    Description: Research and Development (R&D) personnel data are essential to assure the availability of pertinent statistical information to monitor science and technology (S&T) related activities in Canada and to support the development of science and technology policy.

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