It's a day long digital workshop in which computer programmers, graphic designers, interface designers, project managers, community activists, artists and other interested members of the community to collaborate intensively on solving problems focused on specific data. The outcome produces visualizations, analytics and apps based on this data.
We will start a morning with great speakers from the Port Authority, Regional Plan Association and St Peter's Unversity that will introduce the data and challenges. Around noon you will join a breakout team of your choice. We will close the day with presentation of the projects created during the event.
For the PATH Data Jam, all projects are required to make direct use of the data, or reference an insight derived from one of the provided datasets. We provide links to PATH turnstile data, NY Waterway ridership data, Trans Hudson ridership data (courtesy of Regional Plan Association), and links to GTFS files, but you are welcome to use other sources.
A hackathon is a digital workshop in which computer programmers, graphic designers, interface designers, project managers, community activists, artists and other interested members of the community to collaborate intensively on solving problems.
Hackathons typically start with one or more presentations about the event, as well as about the specific subject, followed by allowing the participants to suggest ideas and form teams, based on individual interests and skills. Then the main work of the hackathon begins, which can last anywhere from several hours to several days. At the end of the hackathon, there is usually a series of demonstrations in which each group presents the outcome of their collaboration. There is sometimes a contest element as well, in which a panel of judges select the winning teams, and prizes are given. At many hackathons, the judges are made up of organizers and sponsors.
Is a type of hackathon focused on a specific data sets. The outcome produces visualizations, analytics and apps based on this data.
Good Ideas Yes,
Sufficient time not so much,
Boat to the rescue
Did not submit
Did not submit
Open Data makes Magic
The path to the PATH
PATH is suspended
I cannot swim the Hudson
How do I get home?
Did not submit
For the PATH Data Jam, all projects are required to make direct use of the data, or reference an insight derived from one of the provided datasets.
|1||Port Authority||Turnstile Data
Turnstile Data (Sanitized)
StopID to Trurnstile Translation
|9/1/2014-2/1/2015 (5 months) turnstile data at 15 minute interval for each station for exits and entrances
The Turnstile Data (Sanitized) file and the StopID to Trurnstile Translation file were created by Quentin Stenger during the event. Thank you Quentin!
|2||Port Authority||GTFS||The General Transit Feed Specification (GTFS) defines a common format for public transportation schedules and associated geographic information. GTFS "feeds" allow public transit agencies to publish their transit data and developers to write applications that consume that data in an interoperable way.|
|3||Port Authority||Alerts||Alerts and Advisories|
|4||Port Authority||Coming in 2016+||Live train location data|
|5||Regional Plan Association||HubBound||Trans Hudson Data|
|6||Regional Plan Association||Census Tract Job Data||This data is for 2000 and average of 2006-2010. It is produced by the census on the tract level and is broken down by industry. Because the Current Employment Statistics survey is considered the "Gold Standard" in job numbers, RPA adjusted the tract data to that level.|
|7||Regional Plan Association||Codebook
|Discretionary Income: how much spending money do typical households in the New York metro region have left over after accounting for housing, transportation and taxes? The shape file contains data that is behind this Discretionary Income visualization.|
|8||Longitudinal Employer-Household Dynamics (LEHD)||Origin-Destination Employment Statistics (LODES)||Data files are state-based and organized into three types: Origin-Destination (OD), Residence Area Characteristics (RAC), and Workplace Area Characteristics (WAC), all at census block geographic detail. Data is available for most states for the years 2002–2011.RPA recommends using only 2011, as the data isn’t really comparable over time. It includes where people live, where they work on a block level, and the origin-destination pairs.|
|9||NY Waterway||NY Waterway Weekend Ridership Summary
NY Waterway Weekend Ridership Data
|Ridership data from February 2014-December 2014 when PATH Train service between Exchagne Place and WFC was suspended on weekends for upgrades of the switch signals. The NY Waterway provided weekend service betwen Exchange Place and WFC.|
|10||Other||Other transportation data sets||Other transportaion data links compiled for the 2014 Hackathon|
We have defined several challenges for you. But you are welcome to bring your own project, start a new project or contact us with your suggestions at email@example.com.
1. How much strain will the PATH train services be under with the new population projections for the cities?
2. What is the impact of reduction/elimination of the overnight weekday train services?
3. What communities rely most on the PATH train services?
|1||Analysis||Python||Widely used general-purpose, high-level programming language|
|2||Analysis||Tableau Public||Tool to explore and visualize data|
|3||Analysis||OpenRefine||For working with messy data: cleaning it and transforming it from one format into another|
|4||Analysis||R Studio||Programming language for statistical computing and graphics|
|5||Visualization||Tableau Public||Is a free service to explore and visualize data|
|7||Visualization||Fusion Tables||Fusion Tables from Google is an experimental data visualization web application to gather, visualize, and share data tables.|
|8||Presentation||Prezi||Cloud-based presentation software and storytelling tool for presenting ideas|
|9||Presentation||Google Slides||An online collaborative presentations application that lets you create, edit, and deliver presentations|
|10||Presentation||Apple Keynote||Makes it simple to create and deliver beautiful presentations on mac|
|11||Presentation||MSFT Office||Makes it simple to create and deliver beautiful presentations on MS Windows|
|12||Presentation||R Studio||Programming language for statistical computing and graphics|
|13||Mapping||Fusion Tables||Fusion Tables from Google is an experimental data visualization web application to gather, visualize, and share data tables.|
|14||Mapping||See list from 2014 Hackathon||List of mapping tools|
We will provide data, speakers, wifi and food. Participants need to bring their laptops
|9:30-10:00am||Doors Open with Pastries, Coffee and Juice|
|10:00-11:30am||Speakers and Presentations|
|11:30-12:30pm||Introduce the participants to each other so they can form teams and introduce challenges|
|12:30-4:00pm||Break out into teams|
|4:00-6:00pm||Project submissions and presentation|
|6:00-7:00pm||Networking and happy hour|