The Republic 🇺🇸
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.
Project Ideas 💡
Key: ✅ = COMPLETED; ⏳ = IN-PROGRESS
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⏳ Web scraping the date of data availability from the SOTS Election center app
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⏳ Extracting voter registration data from PDF’s from the SOTS Statistics & Data Portal
- 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
- Ballot info: http://portal.ct.gov/SOTS/Election-Services/Town-Ballots/2017-Town-Ballots
- got any cool ideas for me? ➡️ Submit an issue
Bookshelf 📚
- 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
Events & Initiatives 🎫
Companies focused on civic action 🗳️
Contact me
| Jasmine Dumas @jasdumas | jasdumas.github.io |