Name: Low-wage workers at risk for automation: study
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Low-wage workers at risk for automation: study

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February 17, 2021byIn a study published in the Journal of the Royal Society Interface in January 2021, SFI External Professor Doyne Farmer, first author Maria del Rio-Chanona, and their colleagues at Oxford University explore the impact of automation on low-wage workers. The COVID-19 pandemic is accelerating the pace of automation, and they determined that low-wage workers face a double-whammy of being more likely to lose their jobs to automation and less likely to have the skills to switch to newly created jobs.This work is based on a data-driven model created to analyze how workers move through an empirically derived occupational mobility network in response to automation scenarios. By identifying workers most at risk of long-term unemployment, the researchers' model can better target support and retraining programs to help low-wage workers adapt to the changing economy.The study also revealed unemployment risks aren't limited to those directly displaced by automation. Childcare workers, who are at low risk of automation, are likely to face a much more challenging job market due to other displaced workers attempting to enter their industry."Without proper action, automation could cause further deep distress," says Farmer. "But with the right policy frameworks in place, including well-targeted support for , it could power a better economy for all.""Occupational mobility and automation: a -driven " is published in the Journal of the Royal Society Interface.Explore furtherMore information:R. Maria del Rio-Chanona et al. Occupational mobility and automation: a data-driven network model, Journal of The Royal Society Interface (2021).Journal information:Provided byCitation:Low-wage workers at risk for automation: study (2021, February 17)retrieved 22 February 2021from https://phys.org/news/2021-02-low-wage-workers-automation.htmlThis document is subject to copyright. Apart from any fair dealing for the purpose of private study or research, nopart may be reproduced without the written permission. The content is provided for information purposes only.5 hours ago9 hours ago10 hours agoFeb 19, 2021Feb 19, 2021Aug 01, 2019Aug 01, 2019Aug 01, 2019Aug 01, 2019Aug 01, 2019Aug 01, 2019More fromWhat do you think about this particular story?Your feedback will go directly to Science X editors.E-mail the storyLow-wage workers at risk for automation: studyThis site uses cookies to assist with navigation, analyse your use of our services, and provide content from third parties.By using our site, you acknowledge that you have read and understand ourand .

February 17, 2021byIn a study published in the Journal of the Royal Society Interface in January 2021, SFI External Professor Doyne Farmer, first author Maria del Rio-Chanona, and their colleagues at Oxford University explore the impact of automation on low-wage workers. The COVID-19 pandemic is accelerating the pace of automation, and they determined that low-wage workers face a double-whammy of being more likely to lose their jobs to automation and less likely to have the skills to switch to newly created jobs.This work is based on a data-driven model created to analyze how workers move...

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Low-wage workers at risk for automation: study

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