I'm interested in learning and implementing data analytics techniques for election campaigns after witnessing the role of data, and the misrepresentation of information in the 2016 U.S. Presidential election. I will be using this repo to store research papers, project ideas, and links to events that I can leverage to broaden my existing data science & predictive modeling skills.
The current focus will be on local Connecticut Election & Voter Data Analytics Projects but the techniques will be reproducible for most campaigns across the country. The name of this repo is taken from The Republic and of course Scandal.
✅ = COMPLETED; ⏳ = IN-PROGRESS
Third party analysis
- Is there a growing interest in third party candidates?
Correlation analysis of historical Party success and flips in each district
- What makes a district (or county in CT) flip in majority?
Age cohort progression model:
- Do voters of a certain age cohort vote consistently each election cycle as they progress in age?
Social media sentiment for 2018 Governor candidates
- Can the 2018 Governor race be predicted given social media influence?
2017 Municipal Election
got any cool ideas for me?
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- A Bayesian Prediction Model for the U.S. Presidential Election
- How The Obama Campaign Used Predictive Analytics To Influence Voters
- How Obama’s Team Used Big Data to Rally Voters: How President Obama’s campaign used big data to rally individual voters.
- Here's How To Get Started In Election Data Analytics
- New Analysis Uses Reddit Data to Accurately Predict Popular Vote Margin of the 2016 Election