The goal of this project is to develop and apply signal processing, feature extraction, filtering, dynamic Bayesian and Time Series methods, to reduce the commissioning costs of buildings by discovering energy inefficiencies imprinted in “Smart Meters” deployed throughout the building. The analysis initially focuses on data from dozens of buildings on the UC campuses and will leverage “natural experiments” in which commissioning agents have documented and corrected energy waste while logging pre- and post-project energy consumption data. The findings will be presented to policy makers and energy companies to obtain more data and additional funding. This multi-disciplinary project brings together students at UC Berkeley and UC Santa Cruz from Energy and Resources, Building Science, Engineering, Technology and Information Management, and Analytics.
Surgical robotics and health informatics are two key technologies that form the basis of a collaboration between the First Affiliated Hospital of Sun Yat-sen University (FAH-SYSU) and CITRIS.
Research partners from MITRE, CITRIS Health, UC Davis and UC Merced worked with health care teams to identify digital health barriers and co-create new ways to address them.
Working in partnership with senior living providers, Lighthouse researchers conducted focus groups with residents and staff to identify barriers to technology use.