Email: liuanqi@postech.ac.kr
(Updated: August 2024)
Education Background
2021.02 - Present PhD Candidate Pohang University of Science and Techbology (POSTECH)
2019.09 - 2020.11 MSc University of Leeds
2015.09- 2019.06 BSE China Three Gorges University
1. Social Response on Environmental Problems
Complaints can be considered as a way of public participation. The increased number of negative complaints can indicate the potential risk factors and alert decision-makers to address the concerns and needs of the public. Often, the number of complaints represents the citizen’s awareness of environmental pollution. The content of complaints can give clearer guidance and more precise countermeasures for effective environmental management. Detailed complaint analysis of public complaints through natural language processing can help decision-makers understand the timely concerns of the public more thoroughly.
Examine trend of public complaints about water-related environmental issues climatic and pandemic events.
Provide new data clues and research methods in addition to monitoring data.
Give an example of a systematic study of the complaint data.
Suggest the practicability and necessity of complaint data for a more sustainable system for our society.
Provide an actionable information for decision makers and stakeholders
Publication available from: [DOI:10.1038/s41545-023-00244-y ]
2. Sentimenal alteration during climatic extremes and COVID pandemic
Leverage unstructured (text) data like public water pollution complaints to help with water pollution and public mental health monitoring. This study will help with unveiling the impact of climatic extremes and COVID-19 on public water pollution complaints by Natural Language Processing.
3. Climate extremes on public mental health and suicide
Understand the climate extremes (flood and drought) on public mental heath and detecting the potential trend on suicide in different events. Detect the differece in different age groups, gender and races. Probe into the potential causes to those phenomenon.
MORE...
Languages : Mandarin (Native), English (Fluent), Korean (Fluent), Japanese (Beginner)