Science and technology

Description: Gross domestic expenditures on research and development, by funder, performer, science type and prices for provinces, territories and selected regions from 1963 to today.

Description: Expenditures on research and development (R&D) by performing sectors. This table is included in Section D: Postsecondary education: Research and development of the Pan Canadian Education Indicators Program (PCEIP). PCEIP draws from a wide variety of data sources to provide information on the school-age population, elementary, secondary and postsecondary education, transitions, education finance and labour market outcomes. The program presents indicators for all of Canada, the provinces, the territories, as well as selected international comparisons and comparisons over time. PCEIP is an ongoing initiative of the Canadian Education Statistics Council, a partnership between Statistics Canada and the Council of Ministers of Education, Canada that provides a set of statistical measures on education systems in Canada.

Description: Provincial estimates of research and development expenditures in the higher education sector, by funding sector and type of science by provinces, from 2000 to today.

Description: This research study examines the economic impact of the semiconductor industry in Canada in 2020 as it relates to several economic concepts, such as sales and revenue, employment, research and development, and international trade. The study is based on a custom list of 561 firms in the industry provided by Innovation, Science and Economic Development Canada.

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The number of enterprises and the value of support to enterprises broken down into eight employment size categories ranging from 0-4 employees to 500 employees or more.

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The number of enterprises and the value of support to enterprises broken down into nine revenue size categories ranging from 0$ to $250,000 to $500,000,000 or greater.

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The number of enterprises and the value of support to enterprises broken down into various industries of the North American Industrial Classification System (NAICS).

Description: Total domestic expenditures on research and development (R&D) as percentage of gross domestic product (GDP). This table is included in Section D: Postsecondary education: Research and development of the Pan Canadian Education Indicators Program (PCEIP). PCEIP draws from a wide variety of data sources to provide information on the school-age population, elementary, secondary and postsecondary education, transitions, education finance and labour market outcomes. The program presents indicators for all of Canada, the provinces, the territories, as well as selected international comparisons and comparisons over time. PCEIP is an ongoing initiative of the Canadian Education Statistics Council, a partnership between Statistics Canada and the Council of Ministers of Education, Canada that provides a set of statistical measures on education systems in Canada.

Description: Percentage of total research and development (R&D) expenditure by performing sector. This table is included in Section D: Postsecondary education: Research and development of the Pan Canadian Education Indicators Program (PCEIP). PCEIP draws from a wide variety of data sources to provide information on the school-age population, elementary, secondary and postsecondary education, transitions, education finance and labour market outcomes. The program presents indicators for all of Canada, the provinces, the territories, as well as selected international comparisons and comparisons over time. PCEIP is an ongoing initiative of the Canadian Education Statistics Council, a partnership between Statistics Canada and the Council of Ministers of Education, Canada that provides a set of statistical measures on education systems in Canada.

Description: Sources of funds for expenditures on research and development (R&D) in the higher education sector. This table is included in Section D: Postsecondary education: Research and development of the Pan Canadian Education Indicators Program (PCEIP). PCEIP draws from a wide variety of data sources to provide information on the school-age population, elementary, secondary and postsecondary education, transitions, education finance and labour market outcomes. The program presents indicators for all of Canada, the provinces, the territories, as well as selected international comparisons and comparisons over time. PCEIP is an ongoing initiative of the Canadian Education Statistics Council, a partnership between Statistics Canada and the Council of Ministers of Education, Canada that provides a set of statistical measures on education systems in Canada.

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).

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.

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.

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.

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.

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.

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.

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.

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Percentage of enterprises that used specific types of advanced or emerging technologies, by North American Industry Classification System (NAICS) code and enterprise size, based on a one-year observation period. Advanced technologies include material handling, supply chain or logistics technologies; design or information control technologies; processing or fabrication technologies; clean technologies; security or advanced authentication systems; business intelligence technologies; and other types of advanced technologies. Emerging technologies include nanotechnology, biotechnology, geomatics or geospatial technologies, artificial intelligence (AI), integrated Internet of Things (IoT) systems, blockchain technologies, and other types of emerging technologies.

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Percentage of enterprises that did not adopt or use advanced technologies for specific reasons, by North American Industry Classification System (NAICS) code and enterprise size, based on a one-year observation period. Reasons for not adopting or using advanced technologies include not convinced of economic benefit; difficulty in obtaining financing; high cost of advanced technologies; investment not necessary for continuing operations; lack of technical skills required to support this type of investment; organizational culture too inflexible; decisions made by parent, affiliates or subsidiary businesses; lack of technical support or services (from consultants or vendors); lack of information regarding advanced technology; difficulty in integrating new advanced technologies with existing systems, standards and processes; other reasons for not adopting or using advanced technologies; and adoption or use of advanced technologies not applicable to this business’s activities.

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Statistics Canada is engaged in the "Information System for Science and Technology Project" 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 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 data tabulations taken from regular surveys on research and development (R&D) and S&T and made possible by the project.

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This survey collects data to monitor science and technology related activities in Canada and to support the development of science and technology policy.

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The higher education sector is composed of all universities, colleges of technology and other institutes of postsecondary education, whatever their source of finance or legal status. It also includes all research institutes, experimental stations and clinics operating under the direct control of, or administered by, or associated with higher education establishments.

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This bulletin reports on scientific and technological (S&T) activities involving the generation, dissemination and application of new scientific and technological knowledge for the provincial governments of New Brunswick, Quebec, Ontario, Manitoba, Saskatchewan, Alberta and British Columbia.

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Canada's economic competitiveness depends on scientific and technological development and also on the people responsible for this development, especially those engaged in R&D. In an earlier Science statistics bulletin, we published the gross domestic expenditures on R&D in Canada (GERD). This issue presents a supplementary measure to the GERD, the number of personnel who perform Canada's R&D activities.

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This survey collects data to monitor science and technology related activities in Canada and to support the development of science and technology policy.

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The higher education sector is composed of all universities, colleges of technology and other institutes of postsecondary education, whatever their source of finance or legal status. It also includes all research institutes, experimental stations and clinics operating under the direct control of, or administered by, or associated with higher education establishments.

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This annual publication is based on the Survey of Intellectual Property Commercialization in the Higher Education Sector which tracks the progress of innovation in this area.

The objective of the survey is to assure the availability of pertinent information to monitor science and technology related activities and to support the development of science and technology policy. The topic studied is intellectual property management at universities and affiliated teaching hospitals. The data are used to determine how to maximize the benefits resulting from public sector research. Data users include the federal and provincial governments and university administrators and researchers.

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This report includes scientific and technological (S&T) activities involving the generation, dissemination and application of new scientific and technological knowledge for the provincial governments of New Brunswick, Ontario, Manitoba, Saskatchewan and Alberta. Scientific expenditures for British Columbia are based on last year's survey. The provincial overnment of Quebec conducts a survey of its R&D activities, the results of which it shares with Statistics Canada.

The main S&T activity is research and development (R&D). Related scientific activities (RSA) are also included.

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Design activities are central to firm competitiveness and delivering value-added products. Research has shown that rapidly growing companies attach greater weight to design activities. Through design, firms may improve the user interface and create characteristics that allow them to distinguish their products from those of their competitors. Using the results of the Survey of Advanced Technology 2007, this paper examines the extent of use of design activities among Canadian firms, with a view to explaining factors fostering firms' engagement in design activities. It explores whether design activities are more likely to be carried out in some manufacturing industries than in others. The average size of firms undertaking design activities will also be explored. Characteristics of firms that are likely to spend a greater proportion of their expenditures on in-house design activities versus those who outsource larger percentage of their design work to other firms outside their organizational boundaries will be discussed. This paper will also explore whether firms that have high design intensity are more likely to be innovators. Another area of interest of this paper is the question of whether firms that undertake design activities are more likely to be exporters. Common success factors reported by those firms with high design intensity will also be discussed.

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).

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

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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.

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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.

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

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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.

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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.

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

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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.

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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.