A new study co-authored by Uchida Lab Members was published in Personality and Social Psychology Bulletin, showcasing how machine learning can transform cross-cultural research by moving beyond traditional, theory-driven models.

Analyzing data from the World Values Survey, the authors used machine learning to uncover both established and novel cultural patterns, offering a more nuanced and data-driven understanding of global cultural differences. The approach not only confirmed known distinctions between countries such as the USA, China, and Japan but also revealed previously overlooked dimensions, highlighting potential blind spots in conventional frameworks. This innovative methodology presents a powerful tool for researchers and organizations seeking deeper insights into cultural dynamics and more effective cross-cultural engagement.

The paper, which was led by former Uchida Lab member Dr. Kongmeng Liew (University of Canterbury) and co-authored by Professor Yukiko Uchida and former visiting scholar Dr. Takeshi Hamamura (Curtin University), is available as open access at: