The team members specialize in the use of quantitative methods supporting wide range of analyses, diagnoses and socio-economic forecasts. The conducted research concern the following main topics: conducting surveys, modelling the distribution of socio-economic variables, analyzes of socio-economic development, economic forecasting and creating development scenarios, regional statistics, regional innovation systems, sustainability and social or environmental problems of regional space, innovation processes and assessment of effectiveness.
The team also conducts advanced research concerning the dynamics of economic systems, analysis of trends or business cycles, multidimensional co-relations and optimisation of economic models. In this context, the team applies certain solutions for practical applications. The team members are fluent in methods and tools concerning economics, mathematics, statistics and computer science.
The offered expertise includes:
- statistical analysis of socio-economic phenomena – analysis of the structure of the collective data, dynamics of a particular phenomenon, or the relationship between different phenomena, testing of statistical hypotheses;
- modelling of distributions of socio-economic variables;
- regional statistics analysis: selection of diagnostic variables describing the development of regions, determination of the importance (weights) of individual variables, examination of regional cohesion, creation of rankings on the basis of synthetic measures of development, determination of the impact of EU funds on the development of regions, analysis of the level of sustainable development of regions;
- multidimensional analysis: discriminatory analysis, preference study using conjoint analysis, cluster analysis, multidimensional comparative analysis, objects similarities studies;
- extraction of knowledge from conducted surveys, experimental data or big data;
- assessment of effectiveness of innovation, enterprises and investment projects.
The group is interested in cooperation in the following fields:
- modelling of economic variable distributions, also including financial data;
- sustainable development research in general and in the area of economic, institutional-political, environmental and social governance;
- regional development research, including methodological aspects of measurement, analysis of the factors determining development and methods for assessing the importance of various determinants of regional development;
- innovation and sustainable innovation research, also including the efficiency of innovation processes and the assessment of projects or enterprises effectiveness;
- multidimensional analysis with particular focus on discriminatory analysis, taxonomic methods, cluster analysis and similarity analysis;
- forecasting of socio-economic phenomena based primarily on mathematical and statistical methods;
- survey studies, including preparation of survey questionnaires.
Thematic area - Cluster in Horizon Europe: 2. Culture, Creativity and Inclusive Society