Partner 5 – Lead Investigator

name
Jiří Mazurek
nationality
Czech
institution
Slezská univerzita v Opavě
Silesian University in Opava
department
Department of Informatics & Mathematics
city / country
Karviná, Czech Republic
professional status
Associate Professor
keywords
#decision science #quantitative methods #operations research #applied mathematics #statistics #econometrics
general expertise and its relevance for the project
Dr Mazurek is an expert in quantitative research methods, biostatistics, statistics, survey methodology, psychometrics, mathematical modelling, econometrics, decision analysis, and data analytics. His work focuses on the development and application of advanced statistical and operational research methods for analysing complex datasets and supporting evidence-based decision-making. He has extensive experience in questionnaire development, statistical modelling, multi-criteria decision analysis, psychometric assessment, and the evaluation of interventions and policies.
Within VOICE, he will contribute methodological expertise in study design, statistical analysis, outcome evaluation, questionnaire development, psychometric assessment, data interpretation, and cross-country comparative analyses. His experience in multi-country research collaborations, large datasets, and advanced quantitative techniques will strengthen the scientific rigour of the project and support robust evaluation of intervention effectiveness across different settings and populations.
awards received / other responsibilities
Dr Jiří Mazurek is Associate Professor at the School of Business Administration in Karviná, Silesian University in Opava, Czech Republic. He is an internationally recognised researcher in quantitative methods, decision sciences, statistics, econometrics, operations research, and applied mathematics. He has published extensively in international peer-reviewed journals and has achieved substantial scientific impact, with more than 370 citations in Scopus, over 60 indexed publications, and an h-index of 11. He has held visiting research appointments at the University of Maryland (USA), McMaster University (Canada), and the University of Manchester (UK), and actively collaborates with international research teams across Europe and beyond. His research focuses on methodological advances in decision analysis, multi-criteria decision-making, pairwise comparisons, statistical modelling, data analysis, and evidence-based decision support.
positions
2024 – present
Associate Professor
Silesian University in Opava, Czech Republic.
2009 – 2023
Assistant Professor
Silesian University in Opava, Czech Republic.
2023
Visiting Researcher
University of Maryland, United States.
2023
Visiting Researcher
McMaster University, Ontario, Canada.
2022
Visiting Researcher
The University of Manchester, Manchester, United Kingdom.
education
Docent / Associate Professor (Habilitation)
Czech Republic
2006 – 2009
PhD in Theory of Physics Education
University of Ostrava, Ostrava, Czech Republic
1992 – 1997
MSc (Mgr.) in Physics
Charles University, Prag, Czech Republic.
complete list of publications
Xx
publications up to five most important achievements, publications, IP (e.g. patents) relevant to the proposal
2024 – Multiple contributions to quantitative methods, operational research, decision analysis and statistical modelling with applications in social sciences and healthcare research.
2021 – Mazurek J. A Numerical Comparison of the Sensitivity of the Geometric Mean Method, Eigenvalue Method, and Best–Worst Method. Mathematics.
2021 – Mazurek J. The 5-Item Likert Scale and Percentage Scale Correspondence with Implications for the Use of Models with (Fuzzy) Linguistic Variables.
2021 – Mazurek J. A Gradient Method for Inconsistency Reduction of Pairwise Comparison Matrices.
2021 – Mazurek J, Perzina R, Strzałka D, et al. Is the Best–Worst Method Path Dependent? Evidence from an Empirical Study.
additional information
- Scopus ID: 54581291300.
- More than 370 Scopus citations and over 60 indexed publications.
- Extensive international publication record in statistics, operational research, quantitative methods and decision sciences.
- Active collaborator in European research projects and methodological research networks.