A new study published in The Open Construction & Building Technology Journal by Dr. Carlos Alejandro Diaz Schery of the Department of Industrial Engineering, Pontifical Catholic University of Rio de Janeiro, Gávea, Rio de Janeiro, Brazil — together with co-authors Flávia de Souza Costa Neves Cavazotte and Rodrigo Goyannes Gusmão Caiado — makes a pointed observation about why so many Building Information Modelling (BIM) projects fall short of expectations: the problem lies less in the software and more about how organizations are led through the change. Despite over 120,000 published studies on BIM deployment, experts estimate that between 60 and 70 percent of BIM efforts fail to deliver the benefits that were expected. Schery et al.’s study argues that the missing piece is a clear understanding of which leadership behaviors are needed at each stage of an organization’s BIM journey — and that this gap is particularly consequential in Latin America, where cultural dynamics, resource constraints, and uneven institutional support make the challenge more complex than in Europe or North America.

Recently, a research published in Science Advances, Prof. MENG Long from the Shenzhen Institutes of Advanced Technology (SIAT) of the Chinese Academy of Sciences along with collaborators Prof. SU Zhongqing from the Hong Kong Polytechnic University, and Prof. Jae-Woong Jeong from the Korea Advanced Institute of Science and Technology (KAIST), developed the ARMPatch (Acoustically Readable Microneedle Patch) — a wearable, enzyme-free glucose monitor built entirely from glucose-responsive hydrogel microneedles.

Professor Daehyung Park’s research team in the School of Computing develops DiSPo, a robot AI model that can flexibly improve task precision from only coarse (low-frequency) demonstrations

DiSPo demonstrates up to an 81% higher success rate than existing technologies and achieves ultra-precise control in real-world robot experiments, successfully passing through a narrow 2.5 mm clearance

The technology is expected to expand the application of robots in industrial automation fields requiring high dexterity, such as micro-component assembly, medical robotics, and precision machining