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X-WR-CALDESC:Events for NYC Open Data Week
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DTSTART;TZID=America/New_York:20260327T110000
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UID:10001886-1774609200-1774612800@opendataweek.nyc
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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CREATED:20260225T170743Z
LAST-MODIFIED:20260318T144819Z
UID:10001851-1774612800-1774616400@opendataweek.nyc
SUMMARY:Hands-On Exploration of Child and Adolescent Mental Health with the Healthy Brain Network
DESCRIPTION:The Healthy Brain Network (HBN) is a large community initiative and open data project run by the Child Mind Institute (CMI). Its goal is to better understand mental health and learning in children and adolescents in New York City. Families can take part in the clinical and research study if they have concerns about their child’s mental health or learning to receive a free\, comprehensive clinical evaluation. Over the past decade\, the Healthy Brain Network has collected and openly shared anonymized data from more than 4\,000 children and adolescents. This information includes behavioral\, clinical\, and brain-based data\, and is made freely available to researchers\, educators\, and the public to support new discoveries in mental health and psychiatric research. \nIn this hands-on session\, the CMI data team will introduce the openly accessible Healthy Brain Network (HBN) datasets with a focus on wristwatch actigraphy data\, which consists of continuous measurements collected from a wearable device worn on the wrist\, similar to a fitness tracker. These data provide insights into daily activity patterns and sleep over time.\nAttendees will learn how to download\, explore\, visualize\, and analyze actigraphy signals using wristpy\, an open-source Python package developed by CMI. Through guided activities\, attendees will discover how these data can be used to uncover patterns over time and generate insights into behavior and mental health. This virtual class/training aims to spark curiosity and empower individuals to explore and engage with HBN data.
URL:https://opendataweek.nyc/event/hands-on-exploration-of-child-and-adolescent-mental-health-with-the-healthy-brain-network/
CATEGORIES:Class / Training
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LOCATION:https://opendataweek.nyc/event/hands-on-exploration-of-child-and-adolescent-mental-health-with-the-healthy-brain-network/
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