As part of a multi-institutional, intergovernmental agency research collaboration called Cooling Singapore 2.0, the Data-Driven Lab aims to combine data from multiple scales to reveal new insights for how urban heat affects Singapore residents, and the implications — such as reduced mobility and physical activity — from resulting behavior changes. This information could be used to help inform urban interventions to address and adapt to rising temperatures, and to track the performance of different interventions, such as white or green roofs or increased urban vegetation, across different urban contexts. Through new models, this research will develop new metrics of urban heat, risk and vulnerability, incorporating available top-down, large-scale datasets on UHI and climate. Incorporating data on risk and vulnerability at such a granular level will enable policymakers to prioritize interventions that support particularly vulnerable populations. This effort bridges the gap between city-scale data and the direct impact on each urban citizen through a recommendation engine platform that gives practical advice on thermal stress exposure.