1985Physics BulletinOpen access

New Technologies: Solutions to skill shortages ?

Author information unavailable

Open full text 0 citations

Abstract

An Education and Training Board should be set up to deal with skill shortages in new technologies, according to the House of Lords Select Committee on Science and Technology. The Board would have responsibilities for assessing and forecasting the UK's skill needs in the short and long terms, and for ensuring that these needs are met.

Open-access reader

About this research paper

What this paper is about

An Education and Training Board should be set up to deal with skill shortages in new technologies, according to the House of Lords Select Committee on Science and Technology. The Board would have responsibilities for assessing and forecasting the UK's skill needs in the short and long terms, and for ensuring that these needs are met.

Why it matters

A significance statement is not available in the OpenAlex record.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

An Education and Training Board should be set up to deal with skill shortages in new technologies, according to the House of Lords Select Committee on Science and Technology. The Board would have responsibilities for assessing and forecasting the UK's skill needs in the short and long terms, and for ensuring that these needs are met.

Key concepts: Economic shortage, Set (abstract data type), Engineering management, Operations management, Business, Engineering, Computer science, Government (linguistics)

Related papers

Back to paper searchBrowse research topicsOriginal source
New Technologies: Solutions to skill shortages ? — Research Paper | ScholarLens