Digital technologies, such as wearable devices and smartphone apps, can enable the decentralisation of clinical trials by measuring endpoints in people’s chosen locations rather than in traditional clinical settings. Digital endpoints can allow high-frequency and sensitive measurements of health outcomes compared to visit-based endpoints which provide an episodic snapshot of a person’s health. However, there are underexplored challenges in this emerging space that require interdisciplinary and cross-sector collaboration. Mia Tackney, Research Associate from MRC Biostatistics Unit received C2D3 funding to run a multi-stakeholder Knowledge Exchange event to facilitate conversations across silos within this research ecosystem.
Researchers from the Department of Architecture at the University of Cambridge have developed a model to identify Hard-to-Decarbonize houses (HtD) with public data and the application of deep learning.
More international actors of the food-production chain and consumers are becoming aware of the impact that agriculture has on the plant. The Intergovernmental Panel on Climate Change (IPCC) estimated that approximately 70% of global freshwater use and 21-37% of total greenhouse gas (GUG) are generated by agriculture.