Science and technology

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All (1,056) (0 to 10 of 1,056 results)

  • Data Visualization: 71-607-X2022018
    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).
    Release date: 2024-04-15

  • Data Visualization: 71-607-X2024003
    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.
    Release date: 2024-03-22

  • Stats in brief: 11-627-M2024011
    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.
    Release date: 2024-03-15

  • Stats in brief: 11-627-M2024013
    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.
    Release date: 2024-03-12

  • Table: 27-10-0022-01
    Geography: Canada
    Frequency: Annual
    Description: Personnel engaged in research and development, by performing sector, occupational category and type of science for Canada from 2000 to today.
    Release date: 2024-03-12

  • Table: 27-10-0023-01
    Geography: Canada, Geographical region of Canada, Province or territory
    Frequency: Annual
    Description: Provincial distribution of personnel engaged in research and development, by performing sector and occupational category for provinces and territories from 2000 to today.
    Release date: 2024-03-12

  • Articles and reports: 36-28-0001202400200001
    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?
    Release date: 2024-02-28

  • Table: 33-10-0785-01
    Geography: Canada, Province or territory
    Frequency: Occasional
    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.
    Release date: 2024-02-26

  • Table: 36-10-0646-01
    Geography: Canada, Province or territory
    Frequency: Annual
    Description: Annual international imports and exports estimates of the environmental and clean technology products sector, per trading partner, for Canada, provinces and territories.
    Release date: 2024-02-26

  • Stats in brief: 11-001-X20240514881
    Description: Release published in The Daily – Statistics Canada’s official release bulletin
    Release date: 2024-02-20
Data (485)

Data (485) (0 to 10 of 485 results)

  • Data Visualization: 71-607-X2022018
    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).
    Release date: 2024-04-15

  • Data Visualization: 71-607-X2024003
    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.
    Release date: 2024-03-22

  • Table: 27-10-0022-01
    Geography: Canada
    Frequency: Annual
    Description: Personnel engaged in research and development, by performing sector, occupational category and type of science for Canada from 2000 to today.
    Release date: 2024-03-12

  • Table: 27-10-0023-01
    Geography: Canada, Geographical region of Canada, Province or territory
    Frequency: Annual
    Description: Provincial distribution of personnel engaged in research and development, by performing sector and occupational category for provinces and territories from 2000 to today.
    Release date: 2024-03-12

  • Table: 33-10-0785-01
    Geography: Canada, Province or territory
    Frequency: Occasional
    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.
    Release date: 2024-02-26

  • Table: 36-10-0646-01
    Geography: Canada, Province or territory
    Frequency: Annual
    Description: Annual international imports and exports estimates of the environmental and clean technology products sector, per trading partner, for Canada, provinces and territories.
    Release date: 2024-02-26

  • Table: 27-10-0178-01
    Geography: Canada, Geographical region of Canada, Province or territory
    Frequency: Occasional
    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.

    Release date: 2024-02-20

  • Table: 27-10-0193-01
    Geography: Canada, Geographical region of Canada, Province or territory
    Frequency: Occasional
    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.

    Release date: 2024-02-20

  • Table: 27-10-0238-01
    Geography: Canada, Geographical region of Canada, Province or territory
    Frequency: Occasional
    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.

    Release date: 2024-02-20

  • Table: 27-10-0280-01
    Geography: Canada, Geographical region of Canada, Province or territory
    Frequency: Occasional
    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.

    Release date: 2024-02-20
Analysis (525)

Analysis (525) (10 to 20 of 525 results)

  • Articles and reports: 36-28-0001202300200003
    Description: This article examines the patenting activity of women-owned businesses and compares it to that of men- and equally-owned businesses, and businesses where gender of ownership cannot be determined. It adds to the literature on the gender gap in patenting, as most of it has focused on women as researchers or inventors, and not as business owners.
    Release date: 2023-02-22

  • Articles and reports: 11-621-M2023001
    Description: This study examines the economic footprint created by the Canadian research and development pharmaceutical sector on the Canadian economy in 2020, including a focus on the contribution of Innovative Medicines Canada’s members. While the impact of the sector’s medical research is well known, less known are the economic impacts of the sector on the Canadian economy, such as the value generated, the jobs supported and the investments made.
    Release date: 2023-01-30

  • Articles and reports: 11-633-X2023001
    Description:

    This paper provides an update to the work of Abbes et al. (2022a) and to the Canadian Patent Research Database (CPRD). The CPRD was created to study patenting, an important indicator of innovative activity, at the micro level.

    Release date: 2023-01-12

  • Articles and reports: 11-637-X202200100009
    Description:

    As the ninth goal outlined in the 2030 Agenda for Sustainable Development, Canada and other UN member states have committed to build resilient infrastructure, promote inclusive and sustainable industrialization and foster innovation by 2030. This 2022 infographic provides an overview of indicators underlying the ninth Sustainable Development Goal in support of industry, innovation and infrastructure, and the statistics and data sources used to monitor and report on this goal in Canada.

    Release date: 2022-12-13

  • Articles and reports: 18-001-X2022001
    Description:

    Monitoring traffic in large urban areas remains a challenge for both practical and technical reasons. This paper presents a computer vision-based system to periodically extract vehicle counts from Canadian traffic camera imagery.

    Release date: 2022-09-06

  • Articles and reports: 11-633-X2022005
    Description:

    This paper documents the use of the Worldwide Patent Statistical Database (PATSTAT), a global patent application database created by the European Patent Office, to create the Canadian Research Patent Database at Statistics Canada. Innovation is an important driver of the economy, and patent statistics are recognized as a useful measure of innovative activity. The current version of the Canadian Research Patent Database focuses on the worldwide patent applications of businesses with an address in Canada (Canada-resident businesses).

    Release date: 2022-04-19

  • Articles and reports: 36-28-0001202200300005
    Description:

    This article presents some initial findings from a new longitudinal database created from administrative data sources to study patenting in Canada. The study of patenting is important as patenting is a measure of innovative activity and has been linked to positive economic outcomes for firms.

    Release date: 2022-03-23

  • Articles and reports: 11-621-M2022002
    Description:

    This study examines the economic footprint created by the Canadian research and development pharmaceutical sector on the Canadian economy in 2019, including a focus on the contribution of Innovative Medicines Canada’s members. While the impact of the sector’s medical research is well known, less known are the economic impacts of the sector on the Canadian economy, such as the value generated, the jobs supported and the investments made.

    Release date: 2022-01-28

  • Articles and reports: 18-001-X2021003
    Description:

    Micro-level information on buildings and physical infrastructure is increasing in relevance to social, economic and environmental statistical programs. Alternative data sources and advanced analytical methods can be used to generate some of this information. This paper presents how multiple convolutional neural networks (CNNs) are finetuned to classify buildings into different types (e.g., house, apartment, industrial) using their street-view images. The CNNs use the structure of the façade in the building’s image for classification. Multiple state-of-the-art CNNs are finetuned to accomplish the classification task. The trained models provide a proof of concept and show that CNNs can be used to classify buildings using their street-view imagery. The training and validation performance of the trained CNNs are measured. Furthermore, the trained CNNs are evaluated on a separate test set of street-view imagery. This approach can be used to augment the information available on openly accessible databases, such as the Open Database of Buildings.

    Release date: 2022-01-21

  • Stats in brief: 11-627-M2021082
    Description:

    The entrepreneurship indicator database provides data describing the dynamics of a subset of Canadian enterprises, such as the number of active enterprises with one or more employees, the number of high-growth enterprises, the number of births and deaths of active enterprises with one or more employees, the survival of newly created enterprises, and more.

    Release date: 2021-11-10
Reference (43)

Reference (43) (40 to 50 of 43 results)

  • Surveys and statistical programs – Documentation: 5198
    Description: Gross domestic expenditure on research and development (GERD) is a statistical series, constructed by adding together the intramural expenditures on research and development (R&D) as reported by the performing sectors.

  • Surveys and statistical programs – Documentation: 5216
    Description: This survey collects information related to research and development (R&D) in post secondary institutions in Canada, in particular information related to faculty teaching, research, administration and service. The data from the survey is an important component in estimating higher education research and development expenditures (HERD).

  • Surveys and statistical programs – Documentation: 5291
    Description: This survey measures the general familiarity of owners and managers of enterprises across selected industries with intellectual property (IP). The purpose of collecting this information is to help evaluate impacts of Canadian Government programs to educate and raise awareness on the value of intellectual property.

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