Motivation
The Iron Curtain Symposium and Poster Session �Decision support for
sustainable rural development in areas along the former Iron Curtain� provides comprehensive
information about the results and research achievements of the EC-Project �Innovative models of
critical key indicators as planning and decision support for sustainable rural development and
integrated cross border regional management in former Iron Curtain areas based on North to South
European reference studies� (Iron Curtain). It offers the chance to any interested party
especially from the partner countries involved as well as to any other relevant institution
and experts to learn more about a 3 years project experience in relevant cross border cooperation
and rural development planning.
The RTD-project �Iron Curtain� has been performed within the EU-5th Framework Programme �Quality
of Life and Management of Living Resources�, Key Action 5 �New tools and models for integrated and
sustainable development of rural and other relevant areas�. The project is focused on a multi-sectoral
integrated methodology for decision making in sustainable rural development enhancing territorial
competitiveness. It is based on the development of an innovative toolset incorporating Geographical
Information Systems (GIS), system dynamics and indicator modeling integrating rural areas natural capital
and sectors like agriculture, energy, fisheries, forestry, industry, small business, tourism and transport.
Six trans-national areas along the former Iron Curtain provide practical test applications. The areas are
situated at the Norway/Russian border, the former Germany/East Germany border, between Germany/Austria and
Czech Republic, Austria to Hungary and Greece to Bulgaria. The consortium constitutes a complementary team
with 8 partners from the actually enlarged EU and one from a candidate country. The three years work has
resulted in a prototype of an integrated methodology and tool system, six reference studies with
identification and formulation of local development strategies and an indicator system reference model.