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All (6) ((6 results))
- Articles and reports: 11-621-M2022002Description:
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: 36-28-0001202100100004Description:
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 - Articles and reports: 11F0019M2020015Description:
Recent advances in artificial intelligence and machine-learning technologies have fuelled fears of potential job losses among some workers. While the net impact of new technology on total jobs can be negative, positive or neutral, some workers may be more affected than others depending on how easily robots and algorithms can replace them, or how easily their skills complement the new technology. In the case of women and men, it is not clear who is likely to be most affected. This study estimates the risk of job transformation as a result of automation technology faced by women and men.
Release date: 2020-09-24 - 4. Automation, workers and COVID-19 ArchivedStats in brief: 45-28-0001202000100033Description:
Over the past few decades, computer technology has gradually changed workplaces, leading to a reduction of routine and manual job tasks, and an increase in non-routine, cognitive tasks. More recent developments in artificial intelligence and machine learning could be even more far-reaching, as they are designed to execute tasks that were traditionally considered non-automatable.
Release date: 2020-06-29 - Articles and reports: 11F0019M2020011Description:
The recent development of several artificial intelligence applications—such as driverless vehicles, robo-writers and computer-aided medical diagnostics—has led to concerns about the role of human workers in the future workforce. The COVID-19 pandemic has added to these concerns, as businesses may turn to new artificial intelligence technologies to perform work activities not traditionally regarded as automatable, such as social tasks. While previous studies have estimated the share of Canadian workers at high risk of automation-related job transformation, this study is the first to examine in great detail the automation risks faced by different groups of workers.
Release date: 2020-06-29 - Articles and reports: 81-003-X19970033622Geography: CanadaDescription:
This article seeks to shed light on the early careers of science and engineering graduates over the last decade in Canada. It examines the evolution of employment patterns, earnings levels and other employment indicators of recent graduates, as well as their ability to find meaningful and satisfying work and to set out on rewarding and productive careers. The analysis is based on three cohorts of the National Graduates Survey (NGS) databases, which consist of large, representative samples of Canadian university graduates who completed their programs in 1982, 1986 and 1990 respectively. Each group was interviewed two and five years after graduation.
Release date: 1998-03-04
Stats in brief (1)
Stats in brief (1) ((1 result))
- 1. Automation, workers and COVID-19 ArchivedStats in brief: 45-28-0001202000100033Description:
Over the past few decades, computer technology has gradually changed workplaces, leading to a reduction of routine and manual job tasks, and an increase in non-routine, cognitive tasks. More recent developments in artificial intelligence and machine learning could be even more far-reaching, as they are designed to execute tasks that were traditionally considered non-automatable.
Release date: 2020-06-29
Articles and reports (5)
Articles and reports (5) ((5 results))
- Articles and reports: 11-621-M2022002Description:
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: 36-28-0001202100100004Description:
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 - Articles and reports: 11F0019M2020015Description:
Recent advances in artificial intelligence and machine-learning technologies have fuelled fears of potential job losses among some workers. While the net impact of new technology on total jobs can be negative, positive or neutral, some workers may be more affected than others depending on how easily robots and algorithms can replace them, or how easily their skills complement the new technology. In the case of women and men, it is not clear who is likely to be most affected. This study estimates the risk of job transformation as a result of automation technology faced by women and men.
Release date: 2020-09-24 - Articles and reports: 11F0019M2020011Description:
The recent development of several artificial intelligence applications—such as driverless vehicles, robo-writers and computer-aided medical diagnostics—has led to concerns about the role of human workers in the future workforce. The COVID-19 pandemic has added to these concerns, as businesses may turn to new artificial intelligence technologies to perform work activities not traditionally regarded as automatable, such as social tasks. While previous studies have estimated the share of Canadian workers at high risk of automation-related job transformation, this study is the first to examine in great detail the automation risks faced by different groups of workers.
Release date: 2020-06-29 - Articles and reports: 81-003-X19970033622Geography: CanadaDescription:
This article seeks to shed light on the early careers of science and engineering graduates over the last decade in Canada. It examines the evolution of employment patterns, earnings levels and other employment indicators of recent graduates, as well as their ability to find meaningful and satisfying work and to set out on rewarding and productive careers. The analysis is based on three cohorts of the National Graduates Survey (NGS) databases, which consist of large, representative samples of Canadian university graduates who completed their programs in 1982, 1986 and 1990 respectively. Each group was interviewed two and five years after graduation.
Release date: 1998-03-04
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