School of Humanities and Social Science Division of Social Science 229 The Political Economy of Conflict and Elections Supervisor: David James HENDRY / SOSC Student: CHAN Tsun Ming / FINA Course: UROP 1100, Fall This report tracks and updates the earlier progress made in assessing data accessibility specifically of the data sets. In continuation with the work that had already been done, this semester, we further assessed the availability of geographic information and subnational level variables in Afrobarometer surveys and the IPUMS Census. Our findings show strong variations of data across the ten countries covered in the Afrobarometer surveys. This report, then, serves the purposes of exposing such variables and offering a general guide to selecting techniques for analysis in later phases. Existing literature, as well as earlier advances of our projects, indicate that economic grievances increase the risk of civil conflicts at a subnational level, less so at the national level. We have found a gap in that previous works mainly used objective measures, including the Gini coefficient and other economic indicators, and lacked subjective evaluations. The Political Economy of Conflict and Elections Supervisor: David James HENDRY / SOSC Student: LIU Jiayuan / ECOF WONG Man Lai / GBUS Course: UROP 1100, Spring This project investigates how bilingual ballot descriptions affect voting results in non-native English speaker groups. Utilizing data of the 2018 midterm election from 14 states, the team analyzed precinct results with top-race election and ballot measures Data was cleaned and visualized in R, which the final dataset allows comparison of candidate vote counts and ballot measures across different language practices. Findings represent significant variation in data structure and missing values, leading to further research questions on whether provision of different language choices on ballots could enhance participation level of bilingual voters with limited English proficiency. In the project, Jiayuan was responsible for data cleaning of Alaska, Hawaii, Arizona, California, Florida, Maryland and Utah, while Man Lai worked on Idaho, Oklahoma, Nebraska, Nevada, New Jersey, Virginia and Washington. The Political Economy of Conflict and Elections Supervisor: David James HENDRY / SOSC Student: LO Yan Ling Charis / GCS-IHSS Course: UROP 2100, Fall In the fall of 2024, the team working on the UROP project entitled “The Political Economy of Conflict and Elections”, conducted some desk top research on the collection of sample ballots in California for the research of the availability of ballot translation for eligible voters that have limited-English proficiency and to understand to significant of the research. In short, this UROP project mainly focuses on the mining of data from the open internet.
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