Code for Philly volunteers give back to our community by donating their skills and time towards not-for-profit, civic-minded, open source projects. Browse our community’s project directory to identify where you can volunteer.
If you’re new to volunteering or creating your own project, please check out our Projects 101 Blueprint slides.
For detailed advice on starting your own project, check out our own github ‘getting started’ project repo.
FYI - All our Projects 101 content is open source. Submit your own pull request to make it better with your own suggestions!
Check out Code for America’s project page for more opportunities to volunteer or for inspiration on the next project to start here in Philly.
Eye-tracking is an amazing accessibility tool, but there are so few ways to figure out your best setup to get the best results.
There are currently no good tools, that I could find, to test the accuracy and consistency of eye-tracking mouse control across devices and programs, and I believe this information will greatly help in improving the technology in the future.
This project has two major goals:
It can be hard to get started analyzing data, so a major piece will be figuring out some format for teaching beginners (e.g. running weekly analysis sessions, workshops, etc..).
siuba is an open source python library designed for quick, interactive data analysis. It's a port of the tidyverse from R to python, and supports a tabular data…
Code for Philly, Data Philly, R Ladies Philly, and the Data Jawn are joining together to host a data science hackathon to answer pertinent questions around the Opioid Crisis in Philadelphia using the power and talent inherent in the Philadelphia data community. The goals of this event are to provide health organizations with insight that may normally be unavailable to them without the resources of a data professional on staff and to demonstrate creative analyses that help folks gain more understanding around the opioid epidemic in our city.
Prevention Point is a private nonprofit organization providing harm reduction services to Philadelphia and the surrounding area.
Currently, they are storing data from their programs in separate Excel spreadsheets, disparate EHRs, and partner data systems. This prevents them from being able to see all activities associated with an individual program participant, and also makes it impossible for them to do meaningful analyses that monitor program health and evaluate efforts.
This project would work to migrate all of the disparate data sources into one system,…
Every year, the City of Philadelphia disposes 1 ton of waste per resident. That is … impressive. The city has also made it a goal to eliminate litter and landfill use by 2035.
What about us?
How much trash do we generate? What's normal? What's possible? I want to find out so that we can finally throw away the name "Filthadelphia."
This is a simple web-app to let you keep track of your estimated landfill use.
Right now it would be especially helpful to have:
Compare utility bills with neighbors. https://sillyutility.net/
You're a Comcast customer for 33 years… but someone else on your block gets better service for less money.
Companies charge whatever they want… they make you buy phone service and you don't even have a phone.
We help negotiate your bill.
See what your neighbors pay, and call to ask for the same deal.
Philly — Works in Philadelphia, PA and surrounding neighborhoods.
It's free — We do not charge money for this service.
**You…
Instead of an app, my plan is to create a set of IPython notebooks on how civic hackers can do data science effectively. We are currently experiencing a surge of new data and tools that can help us derive conclusions from the data. Software packages containing methods from Statistics, Machine Learning, and Artificial Intelligence have been open-sourced and available for all to use. Like all tools, however, you have to know how to use these methods effectively. There are other great IPython notebooks out there related to…
Each year, the Philadelphia Bike Coalition oversees an army of volunteers to collect bike ridership data across the city of Philadelphia. Today, the data collection and data analysis processes are all completed with the use of pen, paper, and lots of data entry.
We want to help the Bike Coalition (and any future users) spend less time with data management grunt work so that they can spend more time using the data!
Instead of using paper forms, we aim to provide a digital solution allowing survey volunteers to collect data with a mobile-ready website (or hybrid…
