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X-WR-CALDESC:Events for NYC Open Data Week
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DTSTART;TZID=America/New_York:20260327T100000
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SUMMARY:Teaching with NYC Open Data: Publishing Student Civic Research Through Reproducible Workflows
DESCRIPTION:This session showcases the Brooklyn College Open Data Student Gallery\, a publicly available resource featuring original civic research projects conducted by graduate students at Brooklyn College. Developed as part of a reproducible research curriculum\, students used real NYC Open Data datasets to investigate questions that mattered to them — from public safety and housing trends to environmental and social issues affecting New Yorkers. Using R\, Quarto\, and the open-source nycOpenData package\, each student produced a fully reproducible research chapter that is now published as part of an open educational resource. The gallery can be explored here:\nhttps://martinezc1-nyc-open-data-student-gallery.share.connect.posit.cloud/. \nThe session will begin with a brief overview of how NYC Open Data was integrated into the classroom and how students moved from research question to public-facing publication. The majority of the session will feature short lightning talks from participating students\, each presenting their project\, dataset\, analysis approach\, and key findings. Attendees will gain insight into how real civic datasets can be used in higher education to build technical skills\, critical thinking\, and meaningful public scholarship. \nThis session is ideal for educators\, civic technologists\, students\, and anyone interested in public data\, reproducible research\, or innovative teaching approaches. Participants will leave with concrete ideas for incorporating NYC Open Data into their own classrooms or projects — and examples of how student work can move beyond traditional assignments to become lasting\, shareable contributions to the civic data ecosystem.
URL:https://opendataweek.nyc/event/teaching-with-nyc-open-data-publishing-student-civic-research-through-reproducible-workflows/
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LOCATION:https://opendataweek.nyc/event/teaching-with-nyc-open-data-publishing-student-civic-research-through-reproducible-workflows/
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SUMMARY:Street Trees and Housing Markets: An Open-Data Analysis of NYC's Urban Greening
DESCRIPTION:Street tree planting delivers well-documented environmental and public health benefits\, but it also interacts with housing markets in complex ways. This virtual session uses open data to explore how urban greening strategies may shape housing prices and rents in New York City. \nDrawing on NYC Open Data and other publicly available housing\, demographic\, and environmental datasets\, the presentation will walk through the data sources\, modeling approach\, and key findings of this analysis. The session also features a live demonstration of a web-based interactive simulation tool that allows participants to explore different tree-planting scenarios and their potential market impacts\, supporting more informed\, transparent\, and equitable decision-making around urban greening investments. This session is designed for planners\, policymakers\, researchers\, advocates\, and community members. No technical background is required. \nThe project is led by Dr. Hanxue Wei\, Industry Assistant Professor at NYU’s Center for Urban Science + Progress (CUSP). Archy Guo\, Graduate Research Assistant at CUSP\, is leading the presentation and conducting the core analytical work. The project team also includes Dr. Max Vilgalys\, Climate Policy Analyst at NYC Office of Management and Budget\, and Dr. Alex Azan\, Assistant Professor at NYU Langone Health.
URL:https://opendataweek.nyc/event/street-trees-and-housing-markets-an-open-data-analysis-of-nycs-urban-greening/
LOCATION:NYU Tandon School of Engineering\, 370 Jay Street\, Room 233\, Brooklyn\, NY\, 11201\, United States
CATEGORIES:Presentation
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DTSTART;TZID=America/New_York:20260327T120000
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SUMMARY:Building Applications with NYC Open Data and Open Source Tools
DESCRIPTION:Christian Casazza is a data engineer who has built a open-source data platform on top of NYC Open Data. In this talk\, he discusses using open source data engineering tools like Dagster\, Polars\, and DuckDB to ingest and clean gov data like NYC 311 and from the NYC Checkbook API. He will show participants how they can build on top of the clean\, curated government data to build applications for the public good. \nAnyone who is interested in using government data to improve the city’s operations and citizens quality of life should attend. \nThe first part of the event will involve understanding the core open source technologies anyone working with data should know. Understanding the logic behind open source tools is important to appreciate how much faster\, cheaper\, and simpler modern data app building is with open source tools. These tools can be applied for anyone’s civic interests and day to day work. The second part of the event will discuss some of the tools I’ve built around open source data. We will discuss using QueryStation.app and NYCStats.app and how New Yorkers can go there to learn about their city.
URL:https://opendataweek.nyc/event/building-applications-open-source/
CATEGORIES:Presentation
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