The workplace is equipped with 25 workstations for students and experiment participants. The workstations are partitioned. Another laboratory component is separate background for control and evaluation of experiments. The hardware of the laboratory is complemented by appropriate software, in particular complete IBM analytical data processing solution software, i.e. from data analysis to prediction on datamining (Data Collection, SPSS Statistics, SPSS Modeler), SW for automatic recognition and analysis of facial expressions including refinement methods (e.g. digital photoplethysmography) Noldus FaceReader v.8 and SW for Z-Tree economic experiments, i.e. environment for design and realization of economic experiments.

At EconLab there are currently solved R&D tasks within the projects of basic and applied research and development projects:

TL01000303: Use of Big Data to assess the socio-economic position of the population in the different territories defined by the Regional Development Strategy 2021+. TACR, Éta Program. Investigator: Ing. Ales Kocourek, Ph.D. Project duration: 2018 - 2021.

GA18-01144S: Empirical study of the impact of cluster existence on member companies' performance. GACR. Investigator: prof. Ing. Miroslav Žižka, Ph.D. Project duration: 2018 - 2020

Project of internal grant competition EF TUL: Improvement of educational activities at EF TUL in the environment of the Laboratory for Economic Experiments and Big Data Processing (EconLab). Project duration: 2019 - 2020.

The workplace is equipped with 25 workstations for students and experiment participants. The workstations are partitioned. Another laboratory component is separate background for control and evaluation of experiments. The hardware of the laboratory is complemented by appropriate software, in particular complete IBM analytical data processing solution software, i.e. from data analysis to prediction on datamining (Data Collection, SPSS Statistics, SPSS Modeler), SW for automatic recognition and analysis of facial expressions including refinement methods (e.g. digital photoplethysmography) Noldus FaceReader v.8 and SW for Z-Tree economic experiments, i.e. environment for design and realization of economic experiments.

At EconLab there are currently solved R&D tasks within the projects of basic and applied research and development projects:

TL01000303: Use of Big Data to assess the socio-economic position of the population in the different territories defined by the Regional Development Strategy 2021+. TACR, Éta Program. Investigator: Ing. Ales Kocourek, Ph.D. Project duration: 2018 - 2021.

GA18-01144S: Empirical study of the impact of cluster existence on member companies' performance. GACR. Investigator: prof. Ing. Miroslav Žižka, Ph.D. Project duration: 2018 - 2020

Project of internal grant competition EF TUL: Improvement of educational activities at EF TUL in the environment of the Laboratory for Economic Experiments and Big Data Processing (EconLab). Project duration: 2019 - 2020.