We intend to perform the analysis of border regions firstly through quantitative methods, with statistical data, on the level of local administrative units (LAU 1 and LAU 2) from the EU’s Nomenclature of Units for Territorial Statistics (NUTS). The datasets are expected to cover the following thematic fields:
• Population structure;
• Economic activity, unemployment, income conditions;
• Education participation;
• Public infrastructure;
• Traffic infrastructure;
The collection of data will be performed by competent partner from each country or country group while database construction process and quantitative analysis will be carried out by the European Institute.
The investigation of cross-border cooperation initiatives will be performed by the Institute and the partners separately from each other however based on the same thematic structure. Each participant examines two cooperation initiatives, which are active at the territory of the partner’s country, through qualitative methods, first of all interviews, than the outcomes should be concluded in a case study analysis. The case studies should reflect on:
As a result of the research a standardized data and information base is expected to be finalised, which:
• enables the development analysis of the Danube Region’s borderland areas through the collected and structured quantitative data and serves as a base for further studies, and
• provides us an overall image on the situation, activities, legal and administrative burdens as well as best practice models of cross-border cooperation initiatives within the territory of the Danube Region through the assembled qualitative data and the performed case studies.
The further development of the research outcomes may result in the establishment of a knowledge portal as well as in the creation of a network cooperation.
// 2015.01.07.Crossing the borders: best practices of cross-border cooperation within the Danube Region
Closing Conference of the project, Budapest, February 26, 2015
// 2014.09.05.Professional internship for university students