This joint project builds on work undertaken by two separate OECD WPMN activities, former Project one (Development of an OECD database on Human Health and Environmental Safety Research) and former Project two (EHS Research strategies on Manufactured Nanomaterials).
This document is the report of the workshop held on 16-18 September 2009 in Washington D.C., United States, co-hosted by Business and Industry Advisory Committee (BIAC) and Society for Risk Analysis (SRA).
This document compiles the operational plans 2009-2012 for the eight projects of the WPMN and it is published on the responsibility of the Joint Meeting of the Chemicals Committee and the Working Party on Chemicals, Pesticides and Biotechnology of the OECD.
This paper presents the results of the first large-scale data collection conducted in the framework of the OECD/UNESCO Institute for Statistics/Eurostat project on the Careers of Doctorate Holders (CDH).
This paper reviews evidence of the relationship between innovation and entrepreneurship. It then turns to understanding the consequences of market cycles and the economic crisis and discusses implications for programmes to encourage financing for entrepreneurs and venture capital.
Workshop discussions were structured around a set of issues papers – one for each of the sessions. The workshop was set up as a working roundtable discussion. 50 participants familiar with data sources for industrial biotechnology attended the workshop.
This is intended to provide delegations and other stakeholders with a “snapshot” of information on activities related to manufactured nanomaterials, as well as other activities on nanotechnologies, at the national and international level.
What are patent families? What is the impact of adopting one definition or another? Are some definitions of patent families better suited than others for certain uses in statistical and economic analysis?
This is the second edition of the technical guidelines used in the framework of the Careers of Doctorate Holders (CDH) project, building on the experience from the first large-scale data collection.
L'édition 2009 des indicateurs STAN est calculée à partir des données annuelles de STAN pour l'analyse structurelle (STAN), de STAN Commerce Bilatéral 9btd) et d'ANBERD sur les Dépenses en RD. Cette édition présente des séries sur 1970-2008.