by Michaela Saisana and Andrea Saltelli
The JRC-COIN is renowned for its expertise on statistical methodologies and technical guidelines on the development of sound composite indicators, which can be used in making informed policy decisions. JRC-COIN work is published in peer reviewed journals and is used by the European Commission, international organisations and the scientific community to improve the quality of their outputs.
The JRC, together with the OECD, has published a “Handbook on Constructing Composite Indicators: Methodology and User Guide” which has become the reference report for practitioners constructing composite indicators in a variety of fields. The JRC-COIN has a rich portfolio of over 100 statistical audits of composite indicators – examples include: the Environmental Performance Index (Yale University, Columbia University), the Global Innovation Index (INSEAD & World Intellectual Property Organisation), the Multidimensional Poverty Assignment Tool (UN International Fund for Agricultural Development), the Global Competitiveness Index (World Economic Forum), and the Corruption Perceptions Index (Transparency International).
COIN brings together scientific and analytical expertise that can be applied across policy areas. The competence centre examines available methodology within its remit, and provides Commission services with quality-controlled tools that support the conception, implementation and evaluation of European Union policies.
COIN includes the provision of support and assistance to policy Directorate-Generals (DGs), as well as technical training. Best practices are shared across services via communities of practice. Furthermore, COIN will strengthen and extend its strong networks with academia, external research organisations, and practitioners in other policy-making institutions, to remain mainstream in its expertise and to provide the Commission with state-of-the-art scientific methodology.
Originally Published | Last Updated | 23 Aug 2018 | 31 Jan 2023 |
Knowledge service | Metadata | Composite Indicators |