Towards Data-Enabled Career Planning with the Occupational Information Network (O*NET)

摘要

With recent advances in artificial intelligence, big data, and robotics, one of the concerns about the future of work is the impact of automation, and how it may replace human workers or tasks in jobs. This has spurred research contributions in the areas of career pathway planning, job transition tools, and job search software. In 1998, the U.S. Department of Labor - Employment & Training Administration collected and organized a wide variety of occupational information (e.g., job requirements, skills, education, etc.) to assist students, job seekers, and employers in their job search and recruitment efforts, and released it under the name O*NET (the Occupational Information Network). Since then, this database has grown to about 1,000 occupations, and has enabled a variety of web-based tools and services to link workers to jobs. We seek to bring awareness of these tools and services that have been developed using O*NET.