Science–Policy Interfaces in Impact Assessment Procedures

Modelling tools used in impact assessment procedures can be regarded as tools for communication between science and policy. In order to create an integrated system for modelling not only the scientific components have to be in place but also the science/policy interfaces in the assessment procedures have to be identified and their social dynamics understood.

[1]  Andrea Casey,et al.  Enhancing Individual and Organizational Learning , 2005 .

[2]  Sander Janssen,et al.  A database for integrated assessment of European agricultural systems. , 2009 .

[3]  Charles E. Lindblom,et al.  The Policy-Making Process , 1968 .

[4]  Paul C. Stern,et al.  Blind spots in policy analysis: What economics doesn't say about energy use , 1986 .

[5]  Sybille van den Hove,et al.  A Rationale for Science-Policy Interfaces , 2007 .

[6]  Jon Elster,et al.  Deliberative Democracy: Introduction , 1998 .

[7]  Graham Smith.  Toward deliberative institutions , 2000 .

[8]  Rob Knapen,et al.  A goal oriented indicator framework to support integrated assessment of new policies for agri-environmental systems. , 2009 .

[9]  Robert Hoppe,et al.  Rethinking the science-policy nexus: from knowledge utilization and science technology studies to types of boundary arrangements , 2005, Poiesis Prax..

[10]  John Turnpenny.  "Are we nearly there yet?" Lessons for integrated sustainability assessment from EU environmental policy-making , 2008 .

[11]  M. Donatelli,et al.  Integrated assessment of agricultural systems: a component - based framework for the European Union (Seamless) , 2008 .

[12]  Frank I. Michelman,et al.  Between Facts and Norms , 1992 .

[13]  Van Camp Godelieve,et al.  Reports of the Technical Working Groups Established under the Thematic Strategy for Soil Protection.Vol. V: Monitoring. , 2004 .

[14]  Frank Ewert,et al.  Uncertainty analysis in integrated assessment: the users’ perspective , 2010 .

[15]  A. Grunwald.  Strategic knowledge for sustainable development: the need for reflexivity and learning at the interface between science and society , 2004 .

[16]  Martin K. van Ittersum,et al.  Methodology to translate policy assessment problems into scenarios: the example of the SEAMLESS integrated framework , 2009 .

[17]  Wim J. de Lange,et al.  Uncertainty Matters: Computer Models at the Science–Policy Interface , 2007 .

[18]  Joshua Cohen,et al.  Deliberative Democracy: Democracy and Liberty , 1998 .

[19]  M. Callon.  The Role of Lay People in the Production and Dissemination of Scientific Knowledge , 1999 .

[20]  Henry Mintzberg.  Beyond Implementation: An Analysis Of The Resistance To Policy Analysis† , 1980 .

[21]  Ann-Katrin Bäcklund,et al.  Impact assessment in the European Commission – a system with multiple objectives , 2009 .

[22]  M. Granger Morgan,et al.  Learning from integrated assessment of climate change , 1996 .

[23]  Richard Phillips Feynman.  The Meaning of It All , 1998 .

[24]  M. Saward.  Democratic Innovation: Deliberation, Representation and Association , 2001 .

[25]  Norman Lee,et al.  Bridging the Gap Between Theory and Practice in Integrated Assessment , 2006 .