govtech
A few weekends ago, across the U.S. and across the world, women marched and protested against the misogyny of Donald Trump. It comes as no surprise that, within the U.S., these marches sprung largely from urban counties and states that voted for Hillary Clinton. FiveThirtyEight [https://fivethirtyeight.com/
govtech
The 2016 U.S. Presidential Election left people on both sides of the political aisle very surprised. Many media outlets, pollsters and political predictors hadn’t seen it coming. Since then, several articles have investigated the relative shock of the election using the frameworks of social media bubbles [https://www.
govtech
The Silicon Valley world of top tech companies and startups often comes under fire for being too male, too white and too wealthy. For several years, the privileged group of tech workers in the Bay has continued to gentrify many San Francisco neighborhoods. Subsequently rising rents and new, high-end restaurants/
govtech
From the 1950s onward, the U.S. has been a nation of car commuters. Our country developed alongside the rise of the automobile and the present-day urban geography reflects the car's influence. With an average daily commute of 25.4 minutes, 85% of Americans still drive to work
govtech
History Dallas is "the city without a reason to exist," the city that built itself up from its bootstraps. Thanks to the determined grit of early settlers, Dallas had the chance to thrive. Capitalizing on the opportunity, Dallas slowly grew into the main economic powerhouse of North Texas.
visualization
The U.S. Census Bureau [https://www.census.gov/en.html] provides a very intricate and sometimes unstructured hierarchy of geospatial geometries that link back to the U.S. demographic data. This post dives deeper into the geometries or polygons, as a follow up up to our previous post [http:
govtech
Intro What neighborhood related datasets are openly available, how good are they, and how can I use them? These are essential questions for any project looking to use or understand neighborhoods. This first of a 4-part series delves into the geometries of neighborhoods. The following three parts of this series
Data
The data scientists at CITYDATA.ai have conjured up their analytical super powers to make bold predictions for Super Tuesday. Today’s the day. Can anyone take down Trump? Will Bernie's populist revolution flare up or flame out? The primaries of Super Tuesday create a unique political moment
govtech
Pinpointing the composition, coordinates, and concept of a single neighborhood is a tough proposition. To understand these elements, we need more than simple data collection - we need a philosophical and sociological approach toward the definition. Neighborhood Composition Philosophically, something deeper than location ties a neighborhood together. After all, the