Detecting and analysing emerging science and technology issues: the EFMN Issue Analysis

Abstract

Purpose

The purpose of this paper is to highlight the contribution of the EFMN Issue Analysis to the identification of key emerging science and technology issues of high relevance for European policies, as well as to the development of future European science and technology policy priorities. As such, it describes the experience of the past three EFMN Issue Analyses (2005 to 2007), which focused on “Cognitive Science” (2005), “Healthy Ageing” (2006) and “Emerging Knowledge‐based Economy and Society” (2007).

Design/methodology/approach

The annual EFMN Issue Analysis aims at selecting and analysing one key emerging science and technology issue that is relevant for European Union policies. The selection is based on the screening and analysis of recent international foresights along a set of predefined criteria.

Findings

The paper highlights future socio‐economic perspectives and S&T developments coming along with the topics “Cognitive Science”, “Healthy Ageing” and “Emerging Knowledge‐based Economy and Society”, as well as policy recommendations as emerged from the respective expert workshop discussions. The paper also reflects on the methodology used, and experience of, and the lessons learned from the last three Issue Analyses.

Practical implications

This paper is of interest for foresight practitioners and policy‐makers at European level, as well as at national or regional level in European Member States.

Originality/value

The paper highlights the role of the EFMN Issue Analysis in providing the basis for well‐informed (science and technology) policy‐making.

Citation

Rijkers‐Defrasne, S., Amanatidou, E., Braun, A. and Pechmann, A. (2008), "Detecting and analysing emerging science and technology issues: the EFMN Issue Analysis", Foresight, Vol. 10 No. 6, pp. 90-102. https://doi.org/10.1108/14636680810918595