优先考虑隐私、效率与公平的移动应用：一种去中心化的 COVID-19 疫苗接种协调方法

Strategic COVID-19 vaccine distribution can simultaneously elevate social utility and equity

Balancing social utility and equity in distributing limited vaccines represents a critical policy concern for protecting against the prolonged COVID-19 pandemic. What is the nature of the trade-off between maximizing collective welfare and minimizing disparities between more and less privileged communities? To evaluate vaccination strategies, we propose a novel epidemic model that explicitly accounts for both demographic and mobility differences among communities and their association with heterogeneous COVID-19 risks, then calibrate it with large-scale data. Using this model, we find that soc…

Misinformation, Believability, and Vaccine Acceptance Over 40 Countries: Takeaways From the Initial Phase of The COVID-19 Infodemic

The COVID-19 pandemic has been damaging to the lives of people all around the world. Accompanied by the pandemic is an infodemic, an abundant and uncontrolled spreading of potentially harmful misinformation. The infodemic may severely change the pandemic's course by interfering with public health interventions such as wearing masks, social distancing, and vaccination. In particular, the impact of the infodemic on vaccination is critical because it holds the key to reverting to pre-pandemic normalcy. This paper presents findings from a global survey on the extent of worldwide exposure to the CO…

制定公平的公交疏散策略：一种数据驱动的强化学习方法

Strategizing Equitable Transit Evacuations: A Data-Driven Reinforcement Learning Approach

针对灾害疏散中效率与公平兼顾的需求，提出基于强化学习的公交疏散优化框架，利用实时公交与路网数据动态调线，仿真验证其较传统策略在效率和公平性上均有显著提升，可用于智能交通应急场景。