School of Humanities and Social Science Division of Social Science 203 The Impacts of Green Finance Supervisor: WANG Wen / SOSC Student: LIU Yingxue / GCS-SOSC Course: UROP 1100, Spring China is a big agricultural country, the world’s largest consumer of chemical pesticides, and the third largest exporter of fertilizers. With the guidance and mentorship of Professor Wang W, I embarked on a research project examining the impact of green finance, with a specific focus on the influence of pesticides and fertilizers on human health in China. During the UROP program period this semester, our research completed the initial literature review, conducted comprehensive background research, and performed basic data analysis. More importantly, the UROP program has provided me with invaluable practical experience in conducting academic research. Using Street View Imagery Data to Study City and Society Supervisor: ZHANG Han / SOSC Student: JIAN Yu Kei / COMP Course: UROP 2100, Fall The Undergraduate Research Opportunities Program (UROP) project titled "Using Street View Imagery Data to Study City and Society" aims to investigate the relationship between Chinese citizens' perception with regard to surveillance cameras and the number of surveillance cameras present in their residential zones. This semester, I mainly do the following things: 1) implement a muti-threading version of a web crawler; 2) perform data cleaning and pre-processing; 3) find the correct model for the task. Although I did not do a lot of things this semester, I still gained very precious experience in research and image processing. The following will include the tasks I have done and the challenges I have faced during this semester. Using Street Using Street View Imagery Data to Study City and Society Supervisor: ZHANG Han / SOSC Student: TSANG Tze Nam / GCS-SOSC Course: UROP 1100, Spring When conducting research on the spatial distribution of surveillance camera, researchers tend to use administrative data. However, sometimes such data is not available. Therefore, some researchers choose to use street-view imagery to serve as a tool to estimate how surveillance cameras are distributed across regions. It raises a question that how accurate the street-view images can represent the spatial distribution of surveillance cameras in Hong Kong. To address this question, on-site fieldwork was conducted. Eventually it reaches a conclusion that street-view imagery solely may fail to approximate how surveillance cameras distribute in Hong Kong, especially in residential areas. Possible limitations of employing street-view images to study spatial distribution is also discussed.
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