Science and technology

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: The Census of Environment Geospatial Explorer is web GIS application that lets users visualize thematic maps of Statistics Canada data tables published in the context of the Census of Environment. The application reads statistical data from the Common Output Data Repository (CODR) using Statistics Canada Web Data Services (WDS) and joins them with geospatial data to build and display thematic maps to the user.

Description: This infographic examines Canadian exporters in 2021 that have been funded by the federal government through Business Innovation and Growth Support (BIGS) programs. Data is presented by program, countries of export, industry and comparison highlights.

Description: This infographic focuses on product and business process innovation introduced by Canadian businesses during the 2020-2022 period, based on data from the 2022 Survey of Innovation and Business Strategy. It presents the rate of innovation among Canadian businesses, the most common obstacles to innovation reported by businesses, the prevalent types of intellectual property (IP) protection filed by innovation businesses that developed new products, and the role of government support for innovation.

Description: Personnel engaged in research and development, by performing sector, occupational category and type of science for Canada from 2000 to today.

Description: Provincial distribution of personnel engaged in research and development, by performing sector and occupational category for provinces and territories from 2000 to today.

Description: This paper presents a profile of Canadian women inventors who patent in Canada, based on a rigorous matching methodology and a comprehensive linked dataset that allows examination of not only patent applications, but also various demographic and business characteristics associated with inventors. Using data on patent applications from the Canadian Intellectual Property Office, linked to the Canadian Employer–Employee Dynamics Database from 2005 to 2019, this research seeks to answer the following questions: Who are the women inventors in Canada? What are their demographic characteristics? In what types of businesses do they work? How many are entrepreneurs?

Description: Annual international imports and exports estimates of the environmental and clean technology products sector, per trading partner, for Canada, provinces and territories.

Description: Value or potential value created by Generative AI, by North American Industry Classification System (NAICS), business employment size, type of business, business activity and majority ownership, first quarter of 2024.

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

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: The Census of Environment Geospatial Explorer is web GIS application that lets users visualize thematic maps of Statistics Canada data tables published in the context of the Census of Environment. The application reads statistical data from the Common Output Data Repository (CODR) using Statistics Canada Web Data Services (WDS) and joins them with geospatial data to build and display thematic maps to the user.

Description: Personnel engaged in research and development, by performing sector, occupational category and type of science for Canada from 2000 to today.

Description: Provincial distribution of personnel engaged in research and development, by performing sector and occupational category for provinces and territories from 2000 to today.

Description: Annual international imports and exports estimates of the environmental and clean technology products sector, per trading partner, for Canada, provinces and territories.

Description: Value or potential value created by Generative AI, by North American Industry Classification System (NAICS), business employment size, type of business, business activity and majority ownership, first quarter of 2024.

Description:

Percentage of enterprises that co-operated on innovation activities with other businesses or organizations, located in Canada, the United States of America or the rest of the world by North American Industry Classification System (NAICS) code and enterprise size, based on a three-year observation period. Innovation co-operation is active participation with other businesses or organizations on innovation activities. These activities do not need to have commercial benefit, and exclude contracting out. Innovation co-operation partners include parent, affiliated or subsidiary businesses; suppliers of equipment, materials, components or software; clients or customers from the private sector; clients or customers from the public sector; competitors or other businesses in the sector; consultants and commercial laboratories; universities, colleges or other higher education institutions; government, public or private research institutes; and other co-operation partners.

Description:

Percentage of enterprises for which a specific type of innovation co-operation partner was the most critical for the business's innovation activities, by North American Industry Classification System (NAICS) code and enterprise size, based on a three-year observation period. Innovation co-operation partners include parent, affiliated or subsidiary businesses; suppliers of equipment, materials, components or software; clients or customers from the private sector; clients or customers from the public sector; competitors or other businesses in the sector; consultants and commercial laboratories; universities, colleges or other higher education institutions; government, public or private research institutes; and other co-operation partners.

Description:

Percentage of enterprises that made use of government programs to aid innovation-related activities, by North American Industry Classification System (NAICS) code and enterprise size, based on a three-year observation period. Government programs include tax incentive or tax credit programs, grants and contributions programs, training and hiring programs, procurement, and other government programs.

Description:

Percentage of enterprises for which a specific type of government program was the most critical for the business's innovation activities, by North American Industry Classification System (NAICS) code and enterprise size, based on a three-year observation period. Government programs include tax incentive or tax credit programs, grants and contributions programs, training and hiring programs, procurement, and other government programs.

Description:

This study uses the results of the 1991 Survey of Research and Development in Canadian Industry to examine exchanges of funds between Canadian firms for R & D purposes. Through such exchanges of funds, Canadian companies form alliances that collectively constitute a network that fosters exchanges of knowledge. These networks are widely dispersed, covering the great majority of industrial activities.

Four case studies are presented. They reveal that different industries pursue different alliance strategies. R & D alliances in the information technology, business services, oil, and pulp and paper sectors are examined. The alliance strategies are diverse, encompassing vertical integration of large related firms, a collection of small companies providing services to all sectors, and industry-specific networks in which firms have their R & D performed by research institutes. Understanding R & D alliances helps shed some light on the intricacy of the national innovation system concept.

Description:

Human resources in science and technology are deemed to be important to Canada's economic growth because of the key role they play in the development and use of new technologies. To gain a better understanding of this group and its relation to industry, this paper examines its demographic structure, occupation and education profile as well as its working conditions. The analysis is based on data from the 1991 census of population. It reveals a picture of a well-educated, well-paid, middle-aged (25-44 years) professionals and managers who work full-time all year. The majority are male and have an educational specialization related to their scientific occupation. However, the correspondence between scientific education and occupation is not perfect. There are some who have a certain educational background but who work elsewhere, and there are some who work in scientific occupations without the typical educational profile. The distribution across occupations appears to be changing, with the younger generation moving towards mathematics and systems occupations and away from engineering and the natural and applied sciences. The profile of women differs from that of men in terms of their greater concentration in mathematics and systems occupations. Women in the oldest group have more varied specializations than men.

Description:

Canada has a service economy and research and development (R&D) in Canada is mainly a service sector activity. This paper examines the sectoral distribution of expenditure on R&D performance, with emphasis on the business sector in Canada and with international comparisons. The principal observation is the key role played by service industry firms in the performing and commissioning of R&D.

Description:

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.

Description:

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.

Description:

Knowledge flows in Canada as measured by bibliometrics, by Benoît Godin, Yves Gingras and Louis Davignon, uses the database developed, with Statistics Canada support, by the Observatoire des Sciences et des Technologies. It develops statistical indicators of Canadian production and knowledge flow in the natural sciences and engineering.

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.

Description:

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.

Description:

The results of this paper, An Overview of Statistical Indicators of Regional Innovation in Canada: A Provincial Comparison, contribute to the analysis of regional differences in science and technology activity in Canada, as part of the Information System for Science and Technology Project at Statistics Canada. This working paper presents estimates of R&D expenditure and personnel for universities, for the federal government, for industry and for provincial research organizations, as well as providing general provincial statistics. The objective of the Project is to develop useful indicators of activity and a framework to tie them together into a coherent picture of science and technology in Canada. The indicators can provide the picture at the national level or at provincial or sub-provincial levels to reflect regional differences. A previously published working paper, R&D Tax Treatment in Canada: A Provincial Comparison, uses a method developed by the Conference Board of Canada to compare the tax incentives to do R&D in each of the provinces. Six out of ten provinces have their own incentive programmes and tax rates which differ from province to province. The B-Index analysis of the Conference Board provides a means of comparing tax incentives and of providing an indicator.

Description:

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.

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.

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.

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.

Description: The survey collects expenditure data on health research and development activities by therapeutic class in the Canadian business enterprise sector.

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.

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.

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.

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.

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.

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.