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) (0 to 10 of 43 results)

  • Classification: 89-26-0004
    Description: This classification system was developed conjointly by the Social Sciences and Humanities Research Council of Canada (SSHRC), the Natural Sciences and Engineering Research Council of Canada (NSERC), the Canada Foundation for Innovation (CFI), the Canadian Institutes of Health Research (CIHR), and Statistics Canada which is the custodian. This shared standard classification, inspired by the Frascati Model 2015 of the Organisation for Economic Co-operation and Development (OECD), will be used by the federal granting agencies and Statistics Canada to collect, and disseminate data related to research and development in Canada. The Canadian Research and Development Classification (CRDC) first official version was the 2020 Version 1.0, now being replaced by CRDC Version 2.0. The CRDC is revised within 2 years for minor changes, and every five years for major revisions. CRDC 2020 Version 2.0 is composed of 3 main pieces: the type of activity or TOA (with 3 categories), the field of research or FOR (with 1,671 fields at the lowest level) and socioeconomic objective or SEO (with 85 main groups at the lowest level).
    Release date: 2024-04-30

  • Classification: 12-604-X
    Description:

    The concordance table provides a link between data tables and the survey questions from the Survey of Innovation and Business Strategy (SIBS).

    Release date: 2021-07-30

  • Notices and consultations: 88F0006X2010001
    Description:

    Summary of the technical workshop on Estimates of Research and Development in the Higher Education Sector (HERD), held in Ottawa on October 16, 2009. Data users and experts from universities and colleges, granting councils and provincial and federal government departments proposed general and detailed recommendations for the methodology applied in estimating the HERD.

    Release date: 2010-02-26

  • Surveys and statistical programs – Documentation: 96-328-M2004026
    Description:

    The issue of biotechnology in agriculture has generated much debate. This activity is designed to help students better understand biological systems for producing materials and their advantages over synthetic systems.

    Release date: 2005-01-28

  • Surveys and statistical programs – Documentation: 96-328-M2004027
    Description:

    This activity looks at the different ways in which technology is used on the farm.

    Release date: 2005-01-28

  • Surveys and statistical programs – Documentation: 11-622-M2003001
    Geography: Canada
    Description:

    This report focusses on new studies that analyse information and communications technology industries, science-based industries, high-technology industries and firms, the knowledge-based economy, and knowledge workers.

    Release date: 2003-05-15

  • Notices and consultations: 88-003-X20020026374
    Geography: Canada
    Description:

    Statistics Canada's annual Economic Conference provides a forum for the exchange of empirical research among business, government, research and labour communities. The conference is also a means to promote economic and socio-economic analyses while subjecting existing data to critical assessment as part of an ongoing process of statistical development and review. This year's theme was Innovation in an Evolving Economy. At the May 6-7, 2002 conference there were 12 presentations, based directly on the analysis of Science, Innovation and Electronic Information Division (SIEID) data. These presentations were given by SIEID analysts, by Statistics Canada analysts in other groups, by facilitated access researchers and by analysts using published or commissioned estimates.

    Release date: 2002-06-14

  • Notices and consultations: 88-003-X20010015591
    Geography: Canada
    Description:

    The Quebec Institute of Statistics hosted a forum for Statistics Canada and provincial government experts dealing with the subject of science and technology statistics.

    Release date: 2001-03-13

  • Surveys and statistical programs – Documentation: 21-601-M1998034
    Description:

    This paper describes the experiences, the issues and the expectations of the many different players involved in the implementation of document imaging for the Canadian Census of Agriculture.

    Release date: 2000-01-13

  • Surveys and statistical programs – Documentation: 88F0006X1997001
    Description:

    Statistics Canada is engaged in a project "Information System for Science and Technology" which purpose is to develop useful indicators of activity and a framework to tie them together into a coherent picture of science and technology (S&T) in Canada. The Working papers series is used to publish results of the different initiatives conducted within this project. The produced data are related to the activities, linkages and outcomes of S&T. Several key areas are covered such as: innovation, technology diffusion, human resources in S&T and interrelations between different actors involved in S&T. This series also presents important data tabulations taken from regular surveys on R&D and S&T and made possible because of the existing Project.

    Release date: 1998-09-25

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