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data.tale()

data.tale() is a publication of stories inspired by the teachings and voices of New York University's Center for Urban Science and Progress. Our mission is to find the stories behind data and present them in meaningful ways.

Manrique in data.tale()

Civic Innovation & Smart Cities

Underground Version 2.0

Towards a Collaborative Data…

Sarah June Sachs in data.tale()

Emergency Deployment Optimized for a Dynamic City

Nick Jones in data.tale()

The city in 3D: Using new sensing technologies to improve quality and accessibility of city streets

Alex Shannon in data.tale()

Exploring Neighborhood Coffee Shop Footprints

Comparing neighborhood coffee shop scenes in 31 U.S…

Juan Sokoloff in data.tale()

How far do people travel in Bike Sharing Systems?

Analyzing the commuting patterns of Citibike users…

Charlie Moffett in data.tale()

Mapping library collections with Folium

Crafting interactive, location-based narratives with new…

Ian Xiao in data.tale()

Welcome to data.tale()

A new data storytelling blog from urban science thinkers at NYU

Jack Lundquist in data.tale()

Is Uber Taking Over New York City?

Using individual trip-level data to answer important questions on…

Ruben Hambardzumyan in data.tale()

Two Techniques To Predict Urban Sprawl

Can we model urban sprawl with the same computational approaches used to model the evolutionary processes of biological organisms?

Hannah Kates in data.tale()

Is zoning to blame for Atlanta’s low building density?

Exploring market demand, land use constraints, and insights into Atlanta’s development history

data.tale()

Finding and sharing the stories behind data

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