Cities
Human complexity at its absolute best.
Cities, by definition, are groups of people who actively choose each other. We make this decision every day when waking up and going about our lives. We share this space and build in the interest of neighbors we may never meet, because of an unshakable belief that this is our hometown.
We build software in service of hometowns the world over, from Seoul to Los Angeles. We see data as the anecdote of every person written in code and use those stories to create a more just and livable city.
We ask: how do we build communities that are resilient to climate change? How do we create systems that actively foster connection? How do we build smart cities that use software to lift every community?
Sometimes the answers are surprising, and sometimes they are not. But they are always interesting.
Check out the papers we're reading.
- Is Your Neighbor Your Friend? Scan Methods for Spatial Social Network Hostpot DetectionXiaofan Liang
This is a blog post from one of my professors. She breaks down the idea of point detection in cities to consider the social network aspect of it.
citiesnetworks - Modeling and Analyzing Urban Networks and Amenities with OSMnxGeoff Boeing
Geoff made a software package that simplifies modeling the city. It's a great example of how to use open data to understand urban systems.
citiesprogrammingcode - Urban Networks: Connecting markets, people, and ideasGlaeser et al.
A review of urban networks and how they connect markets, people, and ideas. It's a great overview of the field.
citiesnetworks