Archives by Month:

2014 National Day of Civic Hacking


The nation-wide movement toward public data transparency and democratization is continuing to gain support.  As cities including Portland, Chicago, New York, Louisville, Ann Arbor and others are embracing Open Data in government by creating web sites for citizens to easily view and download data, the potential for developing useful applications driven by these data is also growing.

On May 31 and June 1, participants in the second annual National Day of Civic Hacking will gather across the country and beyond to leverage new data sets from local and federal agencies in order to create impactful, technology-based tools and services.

The civic hacking initiative aims to illustrate the power of open government, particularly where data is available to support meaningful collaboration between the public and private sectors, and demonstrate how citizens can improve their local communities with data and technology. The promotion of transparency, participation and collaboration is a cause very close to our mission here at Data Driven Detroit.

Detroit’s participation in the National Day of Civic Hacking this year includes local events at The M@dison Building, 1555 Broadway. Data in Detroit, from 2 to 4 p.m., will bring together civic data practitioners in a high-speed presentation format. In six minutes and 40 seconds, each presenter will give an all-filler rundown of their work. Detroit Startup Drinks, from 4 to 5:30 p.m., is a regular monthly meet-up with Code for Detroit. The Open Data Edition will focus on open data challenges facing Detroit, including datasets that could be used to improve communities, and datasets that government entities should open.

For more information about the initiative, visit The National Day of Civic Hacking.  For open datasets provided by Data Driven Detroit, visit our recently launched Open Data Site.

We would love to hear if you plan on participating, and what’s on your data wish list. Please take a moment to let us know in the comments!

  1. What data do you want to access in order to better perform your work?
  2. What form would you like that data to take – spreadsheets, APIs, other spatial or visual representations?
  3. How would you prefer to access that data – Internet, mobile app, or other published form?