- Killer App for Wearables (Fortune) — While many corporations are still waiting to see what the “killer app” for wearables is, Disney invented one. The company launched the RFID-enabled MagicBands just over a year ago. Since then, they’ve given out more than 9 million of them. Disney says 75% of MagicBand users engage with the “experience”—a website called MyMagic+—before their visit to the park. Online, they can connect their wristband to a credit card, book fast passes (which let you reserve up to three rides without having to wait in line), and even order food ahead of time. […] Already, Disney says, MagicBands have led to increased spending at the park.
- USA Govt Depts Progress on Open Data Policy (labs.data.gov) — nice dashboard, but who will be watching it and what squeeze will they apply?
- globalnamedata — We have collected birth record data from the United States and the United Kingdom across a number of years for all births in the two countries and are releasing the collected and cleaned up data here. We have also generated a simple gender classifier based on incidence of gender by name.
- geogig — an open source tool that draws inspiration from Git, but adapts its core concepts to handle distributed versioning of geospatial data.
"open data" entries
If you really want to understand the effect data is having, you need the models.
Writing my post about AI and summoning the demon led me to re-read a number of articles on Cathy O’Neil’s excellent mathbabe blog. I highlighted a point Cathy has made consistently: if you’re not careful, modelling has a nasty way of enshrining prejudice with a veneer of “science” and “math.”
Cathy has consistently made another point that’s a corollary of her argument about enshrining prejudice. At O’Reilly, we talk a lot about open data. But it’s not just the data that has to be open: it’s also the models. (There are too many must-read articles on Cathy’s blog to link to; you’ll have to find the rest on your own.)
You can have all the crime data you want, all the real estate data you want, all the student performance data you want, all the medical data you want, but if you don’t know what models are being used to generate results, you don’t have much. Read more…
Recreation.gov should be a platform, not a silo.
President Obama’s well-publicized national open data policy (pdf) makes it clear that government data is a valuable public resource for which the government should be making efforts to maximize access and use. This policy was based on lessons from previous government open data success stories, such as weather data and GPS, which form the basis for countless commercial services that we take for granted today and that deliver enormous value to society. (You can see an impressive list of companies reliant on open government data via GovLab’s Open Data 500 project.)
Based on this open data policy, I’ve been encouraging entrepreneurs to invest their time and ingenuity to explore entrepreneurial opportunities based on government data. I’ve even invested (through O’Reilly AlphaTech Ventures) in one such start-up, Hipcamp, which provides user-friendly interfaces to making reservations at national and state parks.
A better system is sorely needed. The current reservation system is clunky and difficult to use. Hipcamp changes all that, making it a breeze to reserve camping spots. Read more…