School of Humanities and Social Science Division of Social Science 203 Reconstructing Historical Lives from Demographic Data Supervisor: GIETEL-BASTEN Stuart Arthur / SOSC Student: LAM Ka Yan / GCS Course: UROP1100, Fall In this project, I worked on the historical marriage records of Ghana since these historical images contain population data that are extremely helpful in helping researchers to understand not only the past but also the present. I have registered for a free account at FamilySearch and access the marriage data there. Throughout the research process, our team focused on 2,694 images of marriage certificates in the time period “1972-1976 (vol 1, RG18-1-10)”. We mainly transcribe the year of marriage, the occupations of the groom and the bride, the occupations of the father of the groom, the occupations of the father of the bride, and their signature or mark indicated next to their signature. Last but not least, as the marriage certificate may be scanned more than one, we need to avoid duplicating the same marriage twice. Reconstructing Historical Lives from Demographic Data Supervisor: GIETEL-BASTEN Stuart Arthur / SOSC Student: LAM Oi Tung / GCS-IHSS Course: UROP1000, Summer In the 2021-22 Summer semester, I have enrolled in the UROP1000 - Reconstructing Historical Lives from Demographic Data and work under the supervision of Professor Stuart GIETEL-BASTEN and his research assistant Rachael Cheung. During the past two months, I am responsible for dealing with different data and have more in-depth understanding of how research is conducted and processed, and also develop certain skills for analyzing historical documents. In this report, I would categorize my experience of working as a research assistant intern into three parts, which are (1) the job content of the program, (2) reflection on the work and (3) the benefits and potential outcome of joining the course. Reconstructing Historical Lives from Demographic Data Supervisor: GIETEL-BASTEN Stuart Arthur / SOSC Student: LIU Junde / QSA Course: UROP1100, Fall During the course of the summer of 2021, my teammates and I built two sets of data holding the birth and death records of the State of Delaware from the year 1890 to 1920. My report for UROP 1000 this summer attempted to link the birth and death records from the two data, but to my demay, I only managed to achieve a match rate of 5% after some considerable efforts which involved the use of cloud computing. For this UROP 1100 report, I decided to take a step back and examine the data by gathering some descriptive statistics. It can not only help me to better understand the data at hand, but also potentially provide me with some insights as to the reasons for my failure in summer.
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