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Happy Pedaling Python Geeks Seek Hardcore Cycling Scrapers

Our roomates betaNYC (a Code for America brigade for New York) have reserved 20 spaces for DataKind's data scientists to attend the first CitiBike CivicHackNight.

This hacknight is about learning CitiBike's API, reviewing tools others have built on top of CitiBike data, and brainstorming projects. With the launch of CitiBike, we now have access to a wealth of granular neighborhood data on bicycle usage.  The conversation on the environmental, social, health and economic benefits of a bicycling city just coasted into the 21st century.

Skills to Bring

  • Machine learning - How can we categorize riders?  Stations?  Bike-share cities?
  • Statistics - Is bicycling getting New Yorker's more fit?  How much more?  Saving energy?
  • Sampling - How much can bike share data tell us about broader trends?  How is Citi rider behavior representative of cyclists in general?
  • Data Wrangling - Weather+BikeShare = ? How cloudy does it need to be for the solar powered stations to fail?
  • Imagination - What should we do all this awesome bike share data that's being scraped, processed and produced?


Here's the details from betaNYC, a CfA meetup for NYC:

This is a night dedicated to #citibike data, sponsored by New Work City.

NYC’s new bike share systems has chalked up some impressive stats: people have ridden CitiBikes 270,000 miles, over 30,000 people joined as annual members, and 6,000 daily riders are taking the eye-catching blue bikes for a spin. All of this in ten days!!!

Bike share is the perfect opportunity for new tools to help people make smart travel choices. Data about usage can tell us how New Yorkers get around: speeds travelled, routes taken, etc. 

On Wednesday June 26, join betaNYC for a special evening on available CitiBike data, hacking & building tools, and blue sky thinking. We will hear from NYCDOT representative, on current and upcoming data feeds, and Anthony Townsend, NYU Rudin, on CitiBike and Foursquare data. 

If you are working with bike share data, sign up to present a 3 min demo. Apply to present here.



6:30 - Doors Open 
6:45 - Event Starts 
6:50 - Presentations (available data feeds, et. al.) 
7:10 - 7:30 - Project Showcase (demo YOUR mashups) 
7:30 - 9:30 - Hacking 
9:30 - 10:00 - Insights and Cleanup

To get you excited, check out some of the data links below, plus demos discussed in the comments.



Organized by betaNYCOpenPlansNYU Rudin Center.

This event is graciously sponsored by New Work CityCode for America's BrigadeOpenPlans


Join or login to comment.

  • michael s

    I just released a spot. I have a meeting and would show up 45 minutes late. I would love to come but I think I should release my spot to someone who would be there the whole time.

    June 26, 2013

  • Craig B.

    Just a reminder to everyone that RSVP'd - please release your ticket if you won't be joining tonight. And for those who didn't make it this time around there is a good chance we will be planning another one soon since there was so much interest. Stay tuned!

    June 26, 2013

  • Sara-Jayne T.

    Damn - sick - hope someone else can use this slot!

    June 26, 2013

    • Craig B.

      Sara sorry we'll miss you this time!

      June 26, 2013

  • Kempton

    Tried to get on the list but was too late. Anyways, here's a quick dive into the Citi Bikes data I did a couple of weeks ago:

    June 25, 2013

    • A former member
      A former member

      Hi Kempton, how did you get the data -­ ?

      June 25, 2013

    • Kempton

      Close. I used a call from the City Bike API.

      June 25, 2013

  • A former member
    A former member

    Please drop if you aren't planning on attending. I very much desparetly want to go to this but am on the wait list.

    June 19, 2013

  • noel h.

    Thanks to everyone who has RSVPed!

    There are two things you should note:

    1. since there are a limited number of slots, if you are unsure if you can make it, please respect others' desire to attend.

    2. we are updating our main event page with datasets, links, and examples. Visit < > for more information.

    If you have any questions, please email me at < [masked] >.

    June 19, 2013

  • Sara-Jayne T.

    Yay! Bikes and scraping - can it get any better?

    2 · June 19, 2013

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