Veikko Isotalo is a PhD student in Political Science at the University of Helsinki. His research is focused on intra-party competition in multiparty open list systems. He is an active member of IntraComp. Veikko is also hoping to finnish his Master’s studies at Aalto University in 2019.
MSSc in Political Science, 2019
University of Helsinki
BSc in Information Networks, 2016
Interactive network visualization of the 2019 parliamentary candidates. Developed in R programming language using the visNetwork package.
This paper inspects political issues and themes associated with the 2016 US Democratic and Republican primary candidates via Twitter data. The analyzed data set comprises tweets mentioning individual candidates between February 12th, 2016 and May 26th, 2016. PDF.
This paper introduces a synthesizing prediction model for Finnish 2019 parliamentary election. PDF.
Visualization of the 2017 municipal election results for capital region. Developed in R programming language as a shiny application.
Visualization combines demographical information and 2015 parliamentary election results for Helsinki. Developed in R programming language as a shiny application.