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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: This analysis examines Canadian exporters in 2021 that have been funded by the federal government through Business Innovation and Growth Support (BIGS) programs. More specifically, the following analysis covers Canadian exporters at the enterprise level and examines exporters that were engaged in international merchandise trade only. This study also examines supported exporters compared with supported non-exporters and compared with all Canadian exporters.

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: 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.

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Percentage of enterprises that allow the use of personally-owned devices to carry out regular business-related activities by the North American Industry Classification System (NAICS) and size of enterprise.

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Percentage of enterprises that have a specific number of employees that complete tasks related to cyber security as part of their regular responsibilities by the North American Industry Classification System (NAICS) and size of enterprise.

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Percentage of enterprises that use specific risk management arrangements to manage cyber security risks by the North American Industry Classification System (NAICS) and size of enterprise.

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Average spending on specific measures to prevent or detect cyber security incidents by the North American Industry Classification System (NAICS) and size of enterprise.

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: 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: 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.

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Percentage of enterprises that allow the use of personally-owned devices to carry out regular business-related activities by the North American Industry Classification System (NAICS) and size of enterprise.

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Percentage of enterprises that have a specific number of employees that complete tasks related to cyber security as part of their regular responsibilities by the North American Industry Classification System (NAICS) and size of enterprise.

Description:

Percentage of enterprises that use specific risk management arrangements to manage cyber security risks by the North American Industry Classification System (NAICS) and size of enterprise.

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Average spending on specific measures to prevent or detect cyber security incidents by the North American Industry Classification System (NAICS) and size of enterprise.

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Average spending on specific measures to recover from cyber security incidents by the North American Industry Classification System (NAICS) and size of enterprise.

Description: This analysis examines Canadian exporters in 2021 that have been funded by the federal government through Business Innovation and Growth Support (BIGS) programs. More specifically, the following analysis covers Canadian exporters at the enterprise level and examines exporters that were engaged in international merchandise trade only. This study also examines supported exporters compared with supported non-exporters and compared with all Canadian exporters.

Description: As we begin to use these new versions of AI, our jobs are destined to change. So, what will an average day of work look like a decade from now? Which jobs will AI impact the most? And is AI coming to replace our jobs all together? In this episode, we sat down with AI expert Tahsin Mehdi, an economist in the social analysis and modeling division of Statistics Canada, to answer our questions about how AI will transform our work lives in Canada.

Description: Intangible investments—investments that do not have a physical form—have been rising in importance in terms of use. From 1976 to 2016, the growth of intangible investments was faster than the growth of tangible investments. This study compares the performance of businesses owned by women (majority or equal ownership) that patent with that of majority men-owned businesses and businesses where gender of ownership cannot be assigned.

Description: This study provides experimental estimates of the number and percentage of workers in Canada potentially susceptible to AI-related job transformation based on the complementarity-adjusted AI occupational exposure index.

Description: Release published in The Daily – Statistics Canada’s official release bulletin

Description: Release published in The Daily – Statistics Canada’s official release bulletin

Description: This infographic focuses on innovation activities and international trade in Canada, based on data from the 2022 Survey of Innovation and Business Strategy. It presents the percentage of Canadian businesses that conducted innovation activities, the innovation rates for businesses that conducted innovation activities in 2022 and for businesses that did not conduct such activities, the percentage of Canadian businesses engaging in international trade, and the obstacles to exporting goods or services.

Description: This study provides experimental estimates of the number and percentage of workers in Canada potentially susceptible to AI-related job transformation based on the complementarity-adjusted AI occupational exposure index.

Description: Technology adoption is essential for improving the growth, productivity and competitiveness of businesses. This paper links two cycles (2017 and 2019) of the Survey of Innovation and Business Strategy with the Canadian Employer–Employee Dynamics Database to study the use of advanced and emerging technologies by women- and men-owned businesses in Canada.

Description: In an age defined by innovation and technological advancement, robotics stands at the forefront of transformative change. This analysis uses the Survey of Advanced Technology (SAT) to examine and characterize the adoption of robotics technologies, the performance of robotics technologies adopters, the challenges encountered during the adoption process, and the strategies employed to overcome these challenges in Canadian businesses.

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.