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X-WR-CALDESC:Events for NYC Open Data Week
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SUMMARY:Establishing a Central Data Function at a Public Agency
DESCRIPTION:Using data insights to make decisions is what every organization seeks to do\, but there are many reasons why this doesn’t happen in practice: data is hard to find\, it is siloed and inaccessible\, it is undocumented and difficult to understand\, it is too large or complex for the skills and tools available. All these problems existed at Metropolitan Transportation Authority \n(MTA) and were the motivation for the recent establishment of a central data team\, which has the goal of facilitating analytical work for teams all across the company. Standing up such a team is challenging\, especially for public sector agencies with many internal and external stakeholders\, legacy systems and limited resources. In this talk\, Andy Kuziemko\, who leads the Data & Analytics team at the MTA\, will describe the progress to date at the agency\, lessons learned along the way\, and the remaining challenges the agency faces.
URL:https://opendataweek.nyc/event/establishing-a-central-data-function-at-a-public-agency/
LOCATION:https://opendataweek.nyc/event/establishing-a-central-data-function-at-a-public-agency/
CATEGORIES:Presentation
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DTSTART;TZID=America/New_York:20260325T173000
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SUMMARY:YPT x MTA x DOT Open Data Happy Hour
DESCRIPTION:Join us for a happy hour celebrating all of the great open data we have available about mobility in New York City! This happy hour is hosted by Young Professionals in Transportation\, the Metropolitan Transportation Authority\, and the NYC Department of Transportation. You do not need to be a member of any of these organizations to join\, all are welcome! \nThis happy hour is taking place at Amity Hall Downtown\, 80 W 3rd St\, Manhattan. \nBefore the happy hour\, join the MTA and DOT for a virtual event about mobility data.
URL:https://opendataweek.nyc/event/ypt-x-mta-x-dot-open-data-happy-hour/
LOCATION:Amity Hall Downtown\, 80 W 3rd St\, New York\, New York\, 10012\, United States of America
CATEGORIES:Networking
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DTSTART;TZID=America/New_York:20260325T160000
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SUMMARY:Open Data about Mobility
DESCRIPTION:In this whirlwind session\, the Metropolitan Transportation Authority (MTA) and NYC Department of Transportation (DOT) will take you through a tour of the datasets made available through their agencies’ respective open data programs\, and highlight opportunities for analysis that combine datasets from their separate open data portals. \nHighlighted datasets include\, but are not limited to\, pedestrian volumes\, bus speeds\, and vehicle counts (citywide\, from the DOT\, and entries to the congestion relief zone\, from the MTA). We’ll cover how the data is collected\, why the data matters\, and interesting things you can find in the datasets. \nCome ready to take notes on interesting datasets you may want to use later in a project. You’ll leave the session inspired and ready to take on a new analytics project using open data about mobility! After this event\, join DOT\, the MTA\, and Young Professionals in Transportation for a happy hour.
URL:https://opendataweek.nyc/event/open-data-about-mobility/
LOCATION:https://opendataweek.nyc/event/open-data-about-mobility/
CATEGORIES:Exhibition
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DTSTART;TZID=America/New_York:20260324T110000
DTEND;TZID=America/New_York:20260324T120000
DTSTAMP:20260509T063603
CREATED:20260225T170738Z
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SUMMARY:Querying Big Bus Data off of the Open Data Portal
DESCRIPTION:In this training\, data scientists on the Metropolitan Transportation Authority’s (MTA) Data & Analytics team will teach attendees how to query big bus data off of the Socrata-powered open data portals using Socrata Query Language (SoQL). The first half of the session will be done entirely using in-browser tools\, no special software required! \nFor the second half of the session\, we’ll dive deeper into how to join bus route segment speed data to geospatial shapes in order to create map-based visuals. Python experience recommended to those who want to follow along\, though all are welcome to listen in and learn! A URL to a GitHub repository will be added to this event page at a later date.
URL:https://opendataweek.nyc/event/querying-big-bus-data-off-of-the-open-data-portal/
LOCATION:https://opendataweek.nyc/event/querying-big-bus-data-off-of-the-open-data-portal/
CATEGORIES:Demonstration
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