Welcome to NYC School of Data — a community conference that demystifies the policies and practices around open data, technology, and service design. This year’s conference concludes NYC’s Open Data Week & features 30+ sessions organized by NYC’s civic technology, data, and design community! Our conversations and workshops will feed your mind and inspire you to improve your neighborhood.
To attend, you need to purchase tickets. Venue is accessible and content is all ages friendly! If you have accessibility questions or needs, please email us at < schoolofdata@beta.nyc >.
If you can’t join us in person, tune into the main stage live stream < schoolofdata.nyc/live > provided by the Internet Society New York Chapter and sponsored by Reinvent Albany. Follow the conversation #nycsodata on Bluesky.
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What can we learn about NYC's flood risk and flood insurance claims from FEMA’s National Flood Insurance Program (NFIP) data? How can combining NFIP claims data with datasets like 311 street flooding complaints uncover new insights?
Join Mark Bauer and Tiffany Cousins, two civic-minded data enthusiasts, to explore key trends and relationships in FEMA’s NFIP redacted claims data for NYC, investigating how these trends align with broader flood risk and urban dynamics. We aim to answer the following questions: - How can we analyze trends in the number and amount of NFIP claims over time? - What are the most costly flood events, and how do they impact flood risk management? - How can we map the geographic distribution of claims, while being mindful of the limitations with redacted data? - What can we learn by integrating NFIP claims data with NYC’s 311 street flooding complaints to identify areas of vulnerability?
The ultimate goal is to equip participants with the skills to use Python, SQL, and DuckDB for analyzing NFIP data, while also providing a deep understanding of NYC's flood risk.
The primary takeaway is how insights from FEMA’s NFIP claims data can drive urban policy decisions, improve flood risk management, and help stakeholders make data-driven choices.
Who should attend? This session is designed for individuals with beginner-level proficiency in data analysis, as well as those interested in flood insurance and urban flood risk. Prior experience with the following will be helpful but is not required: - Interest in FEMA NFIP data and the OpenFEMA API - Learning about urban flood risk and data-driven risk analysis - Basic Python or SQL programming and working with geospatial data
The GitHub repo and presentation website will be launched the day before the event.
