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References

This database has been compiled to provide a searchable repository on published research addressing “future skills” that will be a useful tool for researchers and individuals interested in the future of work and the future of skills.

The database integrates existing bibliographies focused on future skills and the future of work as well as the results of new ProQuest and Google Scholar searches. The process of building the database also involved consultations with experts and the identification of key research organizations publishing in this area, as well as searches of those organizations’ websites. For a more detailed explanation of how the database was assembled, please read the Future Skills Reference Database Technical Note.

The current database, assembled by future skills researchers at the Diversity Institute, is not exhaustive but represents a first step in building a more comprehensive database. It will be regularly updated and expanded as new material is published and identified. In that vein, we encourage those with suggestions for improvements to this database to connect with us directly at di.fsc@ryerson.ca.

From this database, we also selected 39 key publications and created an Annotated Bibliography. It is designed to serve as a useful tool for researchers, especially Canadian researchers, who may need some initial guidance in terms of the key references in this area.

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Reference

Automation entering white-collar work

Jobs you may have thought safe from automation, like mortgage brokers or paralegals, may soon be replaced by intelligent software.
Reference

LMI and you

In partnership with Forum Research, LMIC is currently surveying over 20,000 individuals and organizations to better understand what information they use to make their education, workplace, and career decisions, as well as their opinions about the quality – of both content and form – of this information.
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Catch the wave: The 21st century career

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Everything is becoming digital: Business and HR predictions for 2017

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Cost of social norms: Why are we happy to do things

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Robot revolution: The economics of automation

This post highlights some of the possible economic implications of the so-called “Fourth Industrial Revolution” — whereby the use of new technologies and artificial intelligence (AI) threatens to transform entire industries and sectors. Some economists have argued that, like past technical change, this will not create large-scale unemployment, as labour gets reallocated. However, many technologists are less optimistic about the employment implications of AI. In this blog post we argue that the potential for simultaneous and rapid disruption, coupled with the breadth of human functions that AI might replicate, may have profound implications for labour markets. We conclude that economists should seriously consider the possibility that millions of people may be at risk of unemployment, should these technologies be widely adopted.
Reference

Restoring economic opportunity for "the people left behind": Employment strategies for rural America

Based on several leading economic indicators, most notably rates of employment in the labor force among less skilled men, residents of rural America are much further behind their urban counterparts today than they were fifty years ago. In order to stimulate employment in rural areas, I propose a two-fold strategy of bringing “people to jobs” and “jobs to people,” an approach that combines people-based and place-based policies. The people-based policies include relocation assistance payments for those willing to make a permanent move to a new job, as well as a short-term credit for commuting expenses tied to a new job without residential relocation. The place-based programs include a major one-time investment in rural broadband, a recurring program of loans and grants to enhance entrepreneurship and small business development, and a federal jobs program to revitalize rural infrastructure and amenities.
Reference

Patterns of structural change in developing countries

A central concept in development economics is the notion of structural change. Structural change, which we narrowly define in this chapter as the reallocation of labour across sectors with different productivity levels, featured prominently in the early literature on economic development by Kuznets (1966). Technological change typically takes place at the detailed industry level and thereby induces differential patterns of sector productivity growth. At the same time, changes in demand and international trade drive a process of structural transformation in which production factors such as capital, labour and intermediate inputs are continuously relocated across locations and economic activities (Kuznets, 1966; Chenery et al., 1986; Harberger, 1998; Hsieh and Klenow, 2009; Herrendorf et al., 2014).
Reference

Creating economic opportunity for more Americans through productivity growth

The U.S. economy in recent years has been characterized by slow average productivity growth and increasing productivity dispersion within industries. These trends have coincided with analogous changes in wages—slow average wage growth and greater wage inequality between workers. In this essay, I discuss research into the potential causes of these patterns and outline several policy changes that would yield expected productivity and wage benefits under general conditions.
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