Science and technology

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  • Stats in brief: 11-001-X202105528723
    Description: Release published in The Daily – Statistics Canada’s official release bulletin
    Release date: 2021-02-24

  • Stats in brief: 11-001-X202104922343
    Description: Release published in The Daily – Statistics Canada’s official release bulletin
    Release date: 2021-02-18

  • Articles and reports: 36-28-0001202100100004
    Description:

    In recent years, technological advancements in artificial intelligence and machine learning have broadened the realm of tasks that have the potential to be accomplished through automation technology. Consequently, these developments have raised questions about the future of work. Debate on this issue has focused primarily on the risk of job loss attributable to automation, with less attention given to how automation may change the nature of workers’ jobs. This study employs a task-based approach that shifts the focus from job replacement to changes in the nature of Canadians’ work. This approach views occupations as a set of tasks, allowing researchers to assess the effects of automation in the context of changes in occupational tasks.

    Release date: 2021-01-27

  • Stats in brief: 11-001-X202102723403
    Description: Release published in The Daily – Statistics Canada’s official release bulletin
    Release date: 2021-01-27

  • Articles and reports: 18-001-X2020002
    Description:

    This paper presents an open-source system that was developed for automatic estimation of building height from street-view images using Deep Learning (DL), advanced image processing techniques, and geospatial data. The goal of the developed system is to ultimately be used to enrich the Open Database of Buildings (ODB), that was published by Statistics Canada, as a part of the Linkable Open Data Environment (LODE). Some of the obtained results for building-height estimation are presented. Some challenging cases and the scalability of the system are discussed as well.

    Release date: 2020-12-08

  • Stats in brief: 11-627-M2020087
    Description:

    This infographic uses data from the Business Innovation and Growth Support and Linkable File Environment. It shows the relative distribution of beneficiaries and value of federal support related to business innovation and growth in 2018 by employment size, revenue size and industry.

    Release date: 2020-12-03

  • Stats in brief: 11-001-X202030725863
    Description: Release published in The Daily – Statistics Canada’s official release bulletin
    Release date: 2020-11-02

  • Articles and reports: 11-626-X2020024
    Description:

    Recent improvements in robotics have rekindled ancient fears about the impact of robotics on humankind. Unfortunately, existing data seldom distinguishes robots from other types of automation, so research into their impact so far has been difficult. This article introduces research from a new Statistics Canada dataset, Robots!, on the impact of robots at the firm-level. The article examines the impact of robot investment on firm performance and employment at the enterprise level.

    Release date: 2020-11-02

  • Articles and reports: 11-626-X2020025
    Description:

    Prior to the COVID-19 pandemic, advances in artificial intelligence and robotics raised concerns that automation might lead to relatively high unemployment rates in the coming years. This Economic Insights article examines the degree to which Canadians’ views about the impact of automation on net job creation in 1989 materialized three decades later.

    Release date: 2020-11-02

  • Stats in brief: 11-627-M2020075
    Description:

    This infographic describes the invesment in robots in the Canadian economy and its impact on employment.

    Release date: 2020-11-02
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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