In a competitive world, mean leaders look smart
Peer-Reviewed Publication
Updates every hour. Last Updated: 8-Aug-2025 12:11 ET (8-Aug-2025 16:11 GMT/UTC)
People who view the world as a savage social jungle are more likely to admire antagonistic leaders, praising their competence, while those who see the social world as cooperative and benign might just call those leaders clueless, according to research published by the American Psychological Association.
Preschool teachers shape young children’s development, but how their expertise evolves remains less understood. Using video-cued ethnographic interviews, a researcher studied 112 preschool educators across Japan, China, and the United States to explore what drives professional growth. The study revealed cultural differences in mentoring, collaboration, and motivation. These findings led to a new framework for understanding how early childhood teachers change, offering insight into improving teacher development across diverse educational systems.
Xavier Rovira, principal investigator at IBEC, has been awarded an ERC Proof of Concept Grant. These prestigious grants are awarded by the European Research Council to explore the commercial and social potential of research projects carried out at European institutions. Rovira's project seeks to develop the EVOaware platform, which is designed to address tumour resistance to therapies and accelerate the discovery and development of new cancer treatments.
Manuel Salmeron, principal investigator at IBEC, has been awarded an ERC Proof of Concept Grant. These prestigious grants are awarded by the European Research Council to explore the commercial and social potential of research projects carried out at European institutions. Salmeron's project, FACTORINK, focuses on designing functional bioinks with biological activity for printing artificial tissues.
Researchers at The University of Osaka have developed a novel framework for measuring occupancy in open-plan offices with unprecedented precision. This innovative system uses computer vision and AI to analyze occupancy at a micro-scale level, focusing on specific functional zones within the office. This addresses a significant gap in current occupancy tracking methods, which typically only provide macro-level data and struggle to capture detailed usage patterns within shared spaces.