Do We Ever Leave Our Political Bubbles?
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
mobility
A collection of 60 posts
Making Cities Smarter at the White House
CITYDATA.ai had the distinguished honor of being invited by President Barack Obama's Office of Science and Technology Policy [https://www.whitehouse.gov/administration/eop/ostp] to the White House Smart
"People Intelligence" for smart cities? Easy. Done.
What do city parks, mobile intelligence, and machine learning have in common? CITYDATA! CITYDATA.ai was featured at STIR [https://startupinresidence.org/] Demo Day in San Francisco last week. We showcased our "
Do Google Employees Assimilate with Local Communities?
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
How the U.S. Goes to Work
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
CityDash for San Francisco Bay Area cities
C [http://lotadata.com/]ITYDATA.ai transforms time and place into actionable context for smart cities, enterprise businesses, mobile apps and wearables. STIR 2016 One of the few companies selected to join STIR
City Spotlight: Think you know Dallas?
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
Making Sense of the Census: Polygons
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
Neighborhood Data Landscape: Geometry
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
Will your neighborhood shine blue or red ?
Our neighborhood rolls down the hills Through happy farms to the old mill Green oaks, red doors, enchanting collage The occasional tremor and a foot massage The old downtown's still smart
What defines a Neighborhood?
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
We have Lift-off !
You are cordially invited to the spatiotemporal intelligence blog by LotaData. We are the experts in location-based predictive technologies. Our data platform is open to all and free to try. Our APIs and