There are lots of exciting possibilities with this unique dataset. We will be able to see fascinating insights we couldn’t see before. For example, we can now map neighborhoods that have not yet been officially recognized but where communities have been publicly expressing themselves such as Little India, Little Tehran, Little Brazil, etc. Or, instead of focusing on the one official ethnic town such as “Chinatown,” we can now see there are actually 5 much larger “Chinatowns” in the LA region. And we are also finding that instead of only clustering, there are also other geographies such as a network of dispersed nodes for Greek LA. One reason we can do this is because our data is detailed to the individual parcel level, we can aggregate the data into organic clusters that predefined aerial units such as census tracts cannot. Another is because we are capturing all text in the built environment, not just the official names registered and focusing our attention on the commercial and institutional places, instead of residential areas.