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Data, measurement and initiatives for inclusive digitalization and future of work

Beatriz Nofal, Ariel Coremberg, Luca Sartorio

Year
2018
Citations
2
Access
Open access

Abstract

As the pace of digitalization and automation accelerates globally, and more disruptive innovations in machine learning, artificial intelligence and robotics are expected, new data sources and measurement tools are needed to complement existing valuable statistics and administrative data. This is necessary to better understand the impact of technological change on the labor market and the economy and better inform policy decisions for inclusive people centered growth. In accordance with G20 Roadmap for Digitalisation (2017), points 10, 5 and 7, the authors propose to: i) track technological developments globally in a multidisciplinary and coordinated fashion; ii) develop new methods of measurement for the digital economy; iii) harmonize occupational taxonomies and develop new sources of data and indicators at the international level; iv) Build International Collaborative Platforms for Digital Skills and the Digital Transformation of SMES.

Keywords

PaceDigital transformationMultidisciplinary approachAutomationWork (physics)Digital economyKnowledge managementIndustry 4.0Computer scienceData science

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