MapNYC Recap Week!
Last week we wrapped up MapNYC, a month-long contest to map places in New York City for Bitcoin. We'll spend every day this week analyzing a different aspect of the results, so check back frequently. On Friday we’ll have a special surprise.
Today we want to highlight the sheer breadth of the work the MapNYC community did over the past month. What better way than with a time-lapse map?
Day: 1 of 29
We love to watch the coverage expand across the city!
Starting from scratch, the MapNYC community created over 20,000 places in just four short weeks. We at StreetCred learned a lot about how best to collect data rapidly, what worked well, what didn't work as well, and we’ll share this with you throughout this week and beyond.
MapNYC tested a few things, the first being whether people would collect data like this for cryptocurrency at all. Since we don’t have our own token at the moment, we used Bitcoin mainly because it has name recognition and more people understand what it is. As discussed in a recent article in Breaker, StreetCred believes that POI mapping efforts will fail unless there’s a large, diverse community behind them, so we needed the most recognizable token possible. We’d say this part was a success: from our user feedback we learned that MapNYC was the majority of our users’ first experience with crypto. Additionally, nearly 50% of our users identified as women, a great result for mapping, crypto, and tech generally.
Another key part of the test was to learn about our data contributor and validator roles. As you can see in the map, places were first created by one participant and then validated by multiple other participants. This means that for every approved place, at least three people visited the POI in person to create or validate data. This was a big success, but we learned how we might improve validation, both for our application as well as the eventual protocol behind it.
It's important to note that we started with an empty map, not from any existing POI data. We've been asked why: it was to test our technology with no existing data first, because there are many places in the world with little to no data coverage. Future tests will involve imported data, and of course we plan to improve the data in NYC on an ongoing basis. We’ve been talking with potential partners about collaborating to improve existing data in other places. If you’d be interested in working with us, please get in touch.