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Nendel, C., Ewert, F., Rötter, R. P., Rosenzweig, C., Jones, J. W., Hatfield, J. L., et al. (2013). Addressing challenges and uncertainties for, the use of agro-ecosystem models to, assess climate change impact and food security across scales..
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Helming, K., & Janssen, S. (2014). LIAISE – Linking Impact Assessment instruments with sustainability expertise. FACCE MACSUR Mid-term Scientific Conference, 3(S) Sassari, Italy.
Abstract: Impact Assessment for Sustainable Development: Knowledge Systems for the Future The ex ante Impact Asssessment of planned policies has developed as an important part of policy making within the European institutions as well as in Member States. The analysis of expected economic, social and environmental impacts informs the decision making. Collecting relevant and trustworthy evidence is a challenge for policy decisions. At the same time, Impact Assessment is an opportunity for researchers, research organisations and funding agencies to develop knowledge relevant for societal decision making.As a European research consortium LIAISE investigated over the past 4.5 years the Impact Assessment (IA) practices in relation to Sustainable Development (SD). Specific attention was given to the question how the process of IA in various venues (i.e. nation states, supra national organizations and local organizations) is related to the processes of research and knowledge production.
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Cammarano, D., Rötter, P., Ewert, F., Palosuo, T., Bindi, M., Kersebaum, K. C., et al. (2013). Challenges for Agro-Ecosystem Modelling in Climate Change Risk Assessment for major European Crops and Farming systems. (pp. 555–564).
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Acharya, T., Fanzo, J., Gustafson, D., Ingram, J., Schneeman, B., Allen, L., et al. (2014). Assessing Sustainable Nutrition Security: The Role of Food Systems: Working Paper. Washington, D.C., U.S.A.
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Rosenzweig, C., Jones, J. W., Hatfield, J. L., Ruane, A. C., Boote, K. J., Thorburn, P., et al. (2013). The Agricultural Model Intercomparison and Improvement Project (AgMIP): Protocols and pilot studies. Agricultural and Forest Meteorology, 170, 166–182.
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