habitation of at-risk areas, it is important to understand people's resilience to them. We quantify resilience by estimating how … exhibit less resilience. We find no evidence that existing indices of community resilience moderate impacts. Our conclusion is …

We identify the individual resources that predicted psychological resilience during the COVID-19 lockdown. Using UK … matching respondents on key characteristics, we find that the most important predictor of resilience is non-cognitive skills … income, wealth, cognitive ability, nor social capital predicted resilience. Our findings hold when comparing differences …

Understanding how variation in weather and climate conditions impact productivity, performance and learning is of …

learning model using 191 different audio features embedded within music and use this model to construct a long-run Music …

platform. Thereby, we leverage recent advances in the causal machine learning literature to estimate the causal effect of sport …