projects | Napon Jatusripitak

work

The Politics of Giving

Dissertation research. What explains variation in patronage politics? Based on secondary literature, fieldwork and interviews conducted with former and current cabinet ministers, party officials, MPs, candidates and vote canvassers, this research sheds light on the circumstances and mechanisms that account for variation across time in terms of how patronage politics is organized ande deployed.

Change or Continuity?

A project showcasing the use of machine learning and text as data in Political Science. Using an original dataset containing all political news published from 2013 to 2015 by The Nation, an English-language daily newspaper in Thailand, I apply topic modeling (LDA), an unsupervised machine learning approach, to explore underlying patterns of and variation in media sentiments in Thailand before and after the May 2014 coup d’état.

War Commemoration and Nationalism

Data scraping for Robert Braun's project on War Commemoration and Nationalism in Belgium. I use R, httr and RSelenium to collect military records, military records, biographical demographic information of individuals who perished in Belgium during WWI and WWII, in addition to cleaing and matching the data to construct a county-level dataset for examining the impact of commemoration and wartime networks on the strength of nationalism in Belgium.

Thailand General Election Interactive Map

Using data on Thailand's General Election 2019 obtained from Election Commission of Thailand, I developed an interactive map in ArcGis to visualize election results, examine pattens in voter turnout, gauge electoral performance of parties, and identify geographic clustering in votes and partisanship.

Analysis of Thailand's May 2023 General Elections

This project presents a comprehensive analysis of Thailand’s May 2023 General Elections, providing an in-depth understanding of the voting patterns. Utilizing Python and GIS technology, the project delivers a thorough examination of election results, including party preferences, vote shares, and the relationship between urbanization and voting outcomes.

fun

Thai Raksa Chart's PM Candidate

An analysis of political events using data from Twitter. I use Python and tweepy to scrape tweets relevant to TRC's big reveal of its candidate for prime minister on 8 February 2014 via Twitter Search API.