Key research themes
1. How can multidimensional spatial cognition be typologically structured and assessed to enhance design and STEM education?
This research area focuses on developing new theoretical frameworks and assessment tools to better understand the multifaceted nature of spatial thinking. Given the diversity of spatial abilities and their differential roles in fields such as design and STEM disciplines, the theme addresses the challenge of defining the structure of spatial intellect beyond simplistic or inconsistent classifications. It considers cognitive, neural, and linguistic foundations to propose typologies that inform educational selection, training, and user-centered design processes.
2. What are the theoretical and methodological advances in spatial analysis integrating qualitative, quantitative, and data-scientific approaches?
This theme addresses the development of comprehensive spatial analytical frameworks that transcend disciplinary boundaries by combining rigorous quantitative techniques with qualitative insights and contemporary data science innovations. It focuses on the unique challenges posed by spatial data structures, spatial autocorrelation, scale, and context dependency, aiming to improve spatial theory, GIS data models, and applied spatial data science methodologies for robust empirical research and decision-making.
3. How do social theory and humanities research conceptualize space and spatiality as lived, produced, and relational phenomena beyond geometric abstraction?
This research theme examines philosophical, sociological, and cultural-theoretical approaches to space and spatiality, emphasizing how space is socially produced, experienced, and embedded in power relations rather than merely a neutral container. It investigates classical and contemporary debates on spatiality, including the role of perception, social relations, and everyday practices, with implications for feminist, historical, literary, and sociological spatial analyses.