My academic career is strongly based on my 15 years of international business experience, among others:
These professional experiences encouraged me to pursue my PhD project on developing a cross-cultural knowledge alignment framework that automatically aligns and structures multiple culture-specific knowledge systems (ontologies) by employing the state-of-the-art unsupervised machine larning technology developed by researchers from Technical University of Denmark.
I am highly motivated to initiate interdisciplinary research projects bridging between technical sciences and humanities/social sciences; academic research and businesses; as well as Western and Eastern cultures.
My current interest is applying the aforementioned machine learning tools to analyze diverse multicultural data, e.g. response patterns of survey items available from e.g. World Value Survey / European Social Survey and consumer survey data. In particular, segmentation of consumers, segment-specific behavior prediction, as well as development of segment-specific communication strategy are some of my major research interests.
Main research area:
Last updated on August, 2016 by Fumiko Kano Glückstad