Putting machine learning in the hands of cancer biologists.
Leverage: Philly Campaign Finance Prototyping
The goal of Leverage is to empower citizens of Philadelphia to use campaign finance data when making informed decisions about who they donate to, who they support, and who they vote for.
The foundation of Leverage is the campaign finance data published by the City of Philadelphia. We will apply some machine learning techniques to the data to pull out trends and patterns. Finally, we add a layer of simple visualization on top of the analyzed data, allowing any citizen to consume and understand how candidates are funded.
Our Guiding Principles
- Empower citizens to make informed…
Voter Turnout in the 2014 General Election Maintaining
This project maps the voter turnout in the November 2014 general election. It looks at the percentage of registered voters who voted in each census block group; it also examines demographic characteristics reported by the American Community Survey to try to find correlations between demographics and turnout.
What is this?
A platform to explore whether or not your friends, family, and neighbors have voted. We hope that people will use this information to encourage others to become active participants in democracy.
How did we get this information?
The Secretary of State is required by law to publish voting history and registrations for all voters in Pennsylvania. This information is available for purchase for $20. This is information does not include how people vote, just whether or not they have voted….
Stormfighter is a mapping project designed to optimize the Philadelphia Water Department's efforts in mitigating sewer overflow during rainstorms. The project identifies Water Department-installed stormwater mitigation technologies (such as green roofs, tree trenches, and rain barrels) overlaid on a graduated map of the city's permeable surfaces. This provides data on places where permeability is low, but stormwater mitigation technologies are not installed - in other words, places where flooding is most likely to occur.
YadaGuru - College Application Reminders Maintaining
Yadaguru is an app that helps Philly High School Seniors remember all the things they have to do to submit complete applications to college on time. We're solving the problem of doors closing to good schools because of dumb stuff like a transcript getting in after a deadline. We do this through sending multiple reminders well before stuff is due. Whole support structures around students can use the app as well so they can be part of the 'reminder team' that helps kids get the docs in on time.
Release 1 was our web app https://www.yadaguru.com. You can get reminders, send them to…
Mapping construction permits over time Maintaining
Mapping Construction Permits
Mapping the change in construction permits over time to see if it indicates neighborhoods in change.
The data is now pretty old. I'd like to restart it. I've begun working with Ruby so I'm thinking about rewriting the project with Rails.
Philly Bike Coalition Survey App Maintaining
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…
Original Idea: http://studiocns.org/enterreturn/
To see the underlying resource data, look at the networkofcare_lat_lng.csv within the /data folder.