معرفی
Kimmo Eriksson is a Professor of Mathematics/Applied Mathematics at Mälardalen University (MDU), serving as subject representative for his field and a research fellow in the university's 'AI and Society' initiative. He holds a part-time role conducting research at the Institute for Futures Studies, focusing on the dynamics of opinions and social norms. His work bridges mathematics, cultural evolution theory, and social sciences, emphasizing cross-cultural analyses of moral norms, polarization trends, and societal variation in norms. Key research themes include the application of formal models to predict cultural evolution, the impact of political and welfare policies on moral character, and the interplay between cognitive ability, ideology, and opinion formation. His interdisciplinary approach integrates quantitative methods with sociological theory, addressing contemporary issues like pandemic-induced behavioral changes and the societal implications of AI. Recent studies explore global shifts in moral attitudes, the role of emotional mechanisms in norm enforcement, and the relationship between education and cognitive development.
Dr. Eriksson's research has been published in leading interdisciplinary journals, emphasizing empirical cross-cultural studies and theoretical modeling. His work often involves large-scale data collection across multiple countries, such as analyses of 43 nations during the early COVID-19 pandemic to assess shifts in social norms. He also investigates foundational topics in mathematics education, including the effectiveness of teacher training programs and student achievement predictors. Though no formal awards are listed, his extensive publication record reflects recognition in academic circles.
His current projects aim to advance understanding of how societal structures and individual psychology interact to shape moral values and cooperation behaviors. Collaborations span institutions globally, reflecting his commitment to addressing complex societal challenges through rigorous, cross-disciplinary research.
