Research, Development, and Application of Innovative Methods for Processing Complex Data in the Field of Wellbeing (OU)

is affiliated with Northeastern University and the University of California Davis, specializing in electrical engineering, computer science, and experimental psychology. His research focuses on multiscale computer modeling of human behavior and its control, as well as technological innovations aimed at supporting sustainable, distributed, proactive healthcare. He studies approaches to reasoning and augmenting human intelligence using computer games, EEG, and transcranial electrical stimulation.

who leads research activities WP6.1 and WP6.4, is a senior research scientist in the Department of Statistical Modeling at the Institute of Computer Science, Czech Academy of Sciences. He is the author of over 150 publications (WoS) with more than 1700 citations. Dr. Brabec develops and applies statistical methods, primarily in the field of modern semi-parametric regression and dynamic and highly structured spatiotemporal models (both classical/frequentist and Bayesian). He has been involved in the development of models for fusing empirical information with prior knowledge from sources other than data.

who leads research activity WP6.2, is a senior research scientist at the Institute of Computer Science. She heads the Department of Statistical Modeling and the Computational Psychometrics Group. She has been a principal investigator on grants from TAČR and GAČR, focusing on interdisciplinary research connecting statistical modeling with social/medical fields. She is a recipient of the Wichterle Prize and has held a Fulbright-Masaryk Scholarship at the University of Washington. She is the author of over 40 publications in WoS-indexed journals, including prestigious (D1/WoS) journals in the fields of Computer Science Interdisciplinary, Statistics Probability and Information Science, Educational Research, and Psychology Educational.

who leads research activity WP6.3, is a research scientist in the Department of Complex Systems at the Institute of Computer Science. He specializes in issues related to complex networks, focusing on reliable construction and the emergence of structural phenomena. He applies methodological research in the fields of neurology and climatology.

leads research activity WP6.5 and is the founder and head of the Center for Advanced Technologies at the University of Hradec Králové. He has been the principal investigator or co-investigator on more than 20 projects funded by AZV, TAČR, OP PIK, and has been involved in 12 projects funded by GAČR, TAČR, eDIH, and European projects. He is the author of over 80 publications indexed in WoS.

leads research activity WP6.6 and is a professor at the University of Ostrava, where he founded and directed the Institute for Research and Applications of Fuzzy Modeling (ÚVAFM OU) from 1996 to 2020. He is an expert in mathematical fuzzy logic and its applications. He has authored several formal theories, a mathematical model of natural human reasoning, original methods for process regulation and automatic decision-making, as well as methods for processing time series. He is the author or co-author of over 300 scientific publications and 6 scientific monographs.

is a key research scientist and associate professor at the University of Ostrava. He is an outstanding researcher in the field of computational intelligence, aggregation operators, and mathematical modeling. He has been involved in solving numerous grants, including projects funded by GAČR focusing on mathematical models in economics, time series analysis, or the application of aggregation operators in data analysis. Additionally, he is responsible for quantitative research within the doctoral studies at the Faculty of Social Studies, University of Ostrava.

is the principal investigator or co-investigator of several research and development projects at the University of Hradec Králové focused on monitoring vital functions, evaluating data, and responding to them. Over the past 5 years, she has been the coordinator of the development of the Health React system used in Czech and international studies.

is a research scientist (R3) at the University of Ostrava, an excellent data analyst, and developer. He is the author of a specific and extensive package in the R language (lfl). He has contributed to numerous projects and applications, particularly in medical sciences, social work, and biology.
Co zkoumáme?
Zkoumáme a vyvíjíme statistické modely a výpočetní algoritmy, které pomáhají porozumět těžko měřitelným jevům, jako jsou nálada, pohybová aktivita či wellbeing, vztahy mezi nimi a dalšími charakteristikami, jakož i jejich vývoj v čase. Důraz klademe i na přesnost našich modelů – v simulačních studiích a na reálných datech porovnáváme nově vyvinuté metody s běžně používanými, abychom zajistili jejich spolehlivost. Naše výsledky sdílíme ve volně dostupném softwaru, aby byly přístupné široké veřejnosti i odborníkům.
Čím tento výzkum může pomoci společnosti?
Naším výzkumem vytváříme přesnější modely a analytické metody s vyšší informační hodnotou než ty běžně dostupné. Díky tomu může společnost lépe porozumět složitým a těžko měřitelným oblastem, jako je wellbeing nebo vliv pohybové aktivity na psychiku. Naše modely umožňují odborníkům ve zdravotnictví, školství nebo při tvorbě politik činit informovanější rozhodnutí a formulovat doporučení, která mohou přispět ke zvýšení kvality života a lepšímu zdraví populace.
