XV.4 Making Sense of Skills

Cath Sleeman

Jyldyz Djumalieva

The skills needed in the workplace are changing. With the development of artificial intelligence and advances in robotics, what skills will remain valuable in the job market? Using machine learning, Burning Glass Technologies built a skills taxonomy to group skills based on how often they appeared together in job descriptions across the UK. The more frequently two skills appeared in the same advertisement, the more likely it is that they ended up in the same branch of the taxonomy. Skills were then clustered based on growth in demand and on salary.


Search the resulting matrix to see which skills are in high demand and which are waning. Where does your dream job fall in this visualization?


To explore the skills taxonomy in greater depth at https://www.nesta.org.uk/data-visualisation-and-interactive/making-sense-skills/.


References:

Djumalieva, Jyldyz and Cath Sleeman. 2019. Making Sense of Skills. In “15th Iteration (2019): Macroscopes for Tracking the Flow of Resources.” Places & Spaces: Mapping Science, edited by Katy Börner and Lisel Record. http://scimaps.org.

Acknowledgements: This exhibit is supported by the National Science Foundation under Grant No. IIS-0238261, CHE-0524661, IIS-0534909 and IIS-0715303, the James S. McDonnell Foundation; Thomson Reuters; the Cyberinfrastructure for Network Science Center, University Information Technology Services, and the School of Library and Information Science, all three at Indiana University. Some of the data used to generate the science maps is from the Web of Science by Thomson Reuters and Scopus by Elsevier. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.