Chapter 1. Ten Years of Actions on Climate Change Have Paid off -- Chapter 2. Effectiveness Assessment on Low-carbon City Construction in China -- Chapter 3. Opportunities and Challenges for China to Lead Global Climate Governance Against the Backdrop of De-globalization -- Chapter 4....

Artificial Intelligence, especially deep learning based approaches, has been criticized for its \black-box" approach in recent years. The lack of interpretability of their performance makes people uncomfortable when applying these models in critical situations. In this study, we aim to...

mHealth, the use of mobile technologies for healthcare management and delivery, offers great promise to promote health and improve care. However, to date, most mHealth treatments have failed to demonstrate a significant impact on clinical outcomes, and there is surprisingly little knowledge of...

A powerful trend in the past few years, accelerated by the recent COVID-19 pandemic, is the movement of social activities from in-person events to digital platforms. There is considerable debate about the limits of this virtualization. In particular, the question of whether virtual events on...

Data breaches pose grave dangers to consumers, brands, and society. In particular, healthcare data breaches are most costly ($7.1 million each) and damaging, as the breached data are irrevocable, and consumers face limited alternatives and daunting switching costs. Only a handful of studies have...

We study the impact of product and platform level sampling on customer purchases at an online video course platform. As with other experience goods, customers of these courses face a considerable amount of quality and product fit uncertainty, which sampling can mitigate. Using a 12-month long...

In the emerging literature on human–artificial intelligence (AI) teaming, the effectiveness of teaming is established on the complementarity between the unique advantages of both human experts and AI. Due to the nature of machine learning, contemporary AI can outperform human experts in narrow...