In the academic year of 2020-2021, Yuqi Song, a public policy PhD candidate at Harris, mainly worked on valuation of the improved accuracy of modern weather forecasting in China. Through estimating the effects of improved daily weather forecasts on people’s decisions in labor, on traffic congestion relief, and on social media sentiment shifts, the project aims to determine the benefit of having better forecasting technology in helping the public to adapt to extreme weather due to become more frequent under climate change. Her other co-authored projects include analyzing the effect of coal plant generators on local air pollution levels in Chinese cities through comparing pre- and post- COVID lockdown air conditions, studying the change in the dynamics of winter-time North hemisphere jet-stream, and mapping the expansion of energy usage and structural shifts towards renewables in China.