Queen City Hackathon is a 24-hour coding marathon focused on using data science and machine learning for social good. It’s free to participate and takes place at Red Ventures, 1101 Red Ventures Drive, Fort Mill, SC, from Friday, November 10th at 6 p.m., to Saturday, November 11th, at 6 p.m.
You’ll work in a group from one (that’s you) to four people to address a problem in Charlotte. There will be data science and engineering mentors on-hand to lend advice to teams.
The last day to sign up is Thursday, November 9th, which is the day this post is being written. Register here.
At the end of the event, groups will deliver pitches to judges. Prizes of $10,000+ are being awarded.
City of Charlotte 311 Requests: Contains 311 requests from 1992 to 2017 with location, nature of request, and timestamp.
You’ll be working with one of these data sets:
Charlotte Agenda News Articles: Contains articles from the Charlotte Agenda and suitable for text analysis, visualizations, insights, models, etc.
Cardinal Innovations Healthcare Claims: Behavioral and physical service claims made by de-identified individuals. Suitable for predictive analytics, visualizations, consumer clustering, and more.
Charlotte Reddit Posts: Contains Charlotte related reddits and subreddits from January 2016 to August 2017, suitable for NLP/NLG, time series modeling, and other predictive analytics applications.
Speak Up Magazine Articles: Contains articles written by homeless authors in Charlotte from 2014 to 2017. Suitable for text analysis and visualizations to both better understand and better communicate/expose the experience of the homeless.
Charlotte, NC Traffic Incidents: Contains 132,495 traffic incidents in Charlotte from January 2012 through July 2017. Crash information, location, date, and impact information are provided.
Charlotte on the Cheap is a member of 
