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Dr Lamprini Seremeti is an Assistant Professor at the Department of Agricultural Economics and Rural Development, School of Applied Economics and Social Sciences, Agricultural University of Athens. Since 2005, her teaching experience in Higher Education Institutions has included subjects such as expert systems, artificial intelligence, semantic web, business management, programming languages, calculus, algebra, statistics, differential equations, research methodology, and informatics applied in pedagogy. She has also taught Informatics, Mathematics, and Special Education in Primary and Secondary Education since 2001. Dr Seremeti holds a PhD in Computer Science, specializing in propagating knowledge in networks of aligned ontologies, from Hellenic Open University; a Master in Special Education from the University of Rome; a Master in Pure Mathematics from the University of Patras; a Bachelor in Mathematics from the University of Patras; a Bachelor in Informatics from the University of Western Greece; and a Bachelor in Law from the University of Nicosia. She has participated as a researcher in EU-funded projects, where her work involved mathematical modeling, data processing, knowledge representation and management, and the conceptualization of heterogeneous environments (socio-economic, educational, biomedical, ambient intelligent). Prof. Sofia Anastasiadou is a Professor of Statistics and Research Methodology, Biostatistics and Biomedical Research at the School of Health of the University of Western Macedonia (UOWM), Department of Midwifery. She is the Deam of School of Health of UOWM, and a Member of the Dean of the School of Economics of the University of Western Macedonia. She is also a Member of the Senate and a MODIP Member of the same University. Since 2020 she is the President of Greek Society of Data Analysis (GSDA). She has been a founding Member since 2001. She has been Secretary General since 2016. Sofia Anastasiadou makes a constant effort for the development and dissemination of Data Analysis and Multidimensional Statistical Analysis methods, such as Principal Component Analysis, Factor Analysis, Factor Analysis of Correspondences, Symbolic Analysis, Inductive Statistics, Discriminant Analysis, Cluster Analysis, Implicative Statistical Analysis and new fields that can be developed based on relevant international developments in statistical science. She can be contacted at email: sanastasiadou@uowm.gr

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