How to Crowdsource Data for Places That Are Difficult to Know

This week we are going to learn how Foursquare is trying to identify and map all of the places in the world! 

Foursquare uses a mixture of crowd source and data conflation to maintain a database of 205 million places ... and it's not easy!

Each phone might see the world slightly differently in terms of location accuracies and crowdsourcing data means that people "check-in" at different locations. 

Kyle Fowler - Senior Director, Engineering at Foursquare

Is going to give a behind-the-scenes look at how the "Orginal location-based social network" is trying to map all of the places in the world. 

This episode is the first in a series of episodes I am going to publish in partnership with Foursquare and the idea is to use it as a reference for later episodes about Privacy and location data, Knowledge Graphs, AI, Location Based Marketing and Big geospatial Data in the Browser.