Clean water and clean air are vital for public health. This project focuses on developing high-efficiency and environmentally sustainable filters for removing harmful air/water pollutants. The team has developed novel architectures and functionalities for the filters to achieve high permeance, high removal efficiency, and excellent reusability.
All members of the HKU community and the general public are welcome to join!
Speaker: Dr Kathy Leung, Assistant Professor, School of Public Health and Investigator, Laboratory of Data Discovery for Health (InnoHK)
Moderator: Professor Reynold Cheng, Professor, Department of Computer Science, Faculty of Engineering, HKU
Date: 30th June 2023 (Friday)
Mode: Mixed (both face-to-face and online). Seats for on-site participants are limited. A confirmation email will be sent to participants who have successfully registered.
Global responses to the COVID-19 pandemic have largely been suboptimal due to significant underdevelopment of infrastructure, human capital and analytics in pandemic prevention, preparedness, and response (PPR). In particular, epidemic nowcasting has been universally challenging because it requires distilling informative or actionable insights from diverse range of real-world data which are often biased. Misinterpretation, misrepresentation or otherwise misuse of these nowcasts will fuel infodemics, as we have learned to our detriment during the COVID-19 pandemic. We will discuss some lessons learned from COVID-19 and how we can strengthen pandemic PPR in the Age of Information.