We are doing science for policy
The Joint Research Centre (JRC) is the European Commission's science and knowledge service which employs scientists to carry out research in order to provide independent scientific advice and support to EU policy.
The JRC supported the United Nations' International Fund for Agricultural Development (IFAD) to develop the Multidimensional Poverty Assessment Tool (MPAT), launched today at the UN IFAD premises in Rome. MPAT is an innovative tool for assessing, understanding and addressing rural poverty. It provides data that can inform all levels of decision-making by providing a clearer understanding of rural poverty at household and village level.
The Environment and Gender Index (EGI) was launched by the International Union for the Conservation of Nature (IUCN) today during the United Nations Framework Convention on Climate Change (UNFCC COP19) in Warsaw. The EGI attempts to monitor progress toward gender equality in the context of global environmental governance and provides information on how 72 nations (including 11 EU members) are translating gender and environment mandates into national policy and planning.
A new single innovation indicator, which the JRC helped develop, has been presented at this week's European Council Summit on 24 and 25 October. The indicator focuses on innovation output and measures the extent to which ideas from innovative sectors are able to reach the market, providing better jobs and making Europe more competitive.
Are ratings and rankings non-debatable? Does the weight given to one variable actually reflect its real importance? In a recently published article in the Journal of the Royal Statistical Society A the JRC describes its statistical method to assess the quality of multi-dimensional indices (composite indicators). The analysis shows that for several of these indices equal importance is attributed to the underlying variables, while in many cases, only a few variables drive the results and others are merely cosmetic. The JRC method can help developers revise their composite indicators in order to obtain statistical coherence.