As researchers we do a lot of reading. Every week one of the researchers shares the most valuable articles he has read. Consider these posts as a curated reading experience. This week: Menno van Doorn.
Three DIY Big Data Applications you should know about:
The next time your car hits a pothole, a new app could help you immediately tell someone who can do something about it. Boston officials are testing an app called Street Bump that allows drivers to automatically report the road hazards to the city as soon as they hear that unfortunate “thud,” with their smartphones doing all the work. Unfortunately only working in Boston, but the app’s developers say their work has already sparked interest from other cities in the U.S. Europe, Africa and elsewhere that are imagining other ways to harness the technology.Â http://streetbump.org/
Using this mobile app you can track your location, visualize where you’ve been, and upload your data to the OpenPaths website. You can keep your location history to yourself, or you can share it with specific research initiatives, art projects, or educational programs as you so choose. The OpenPaths online interface allows you to manage who has access to your data. Regardless, your data is always encrypted on the OpenPaths servers, and cannot be accessed by anyone without your express consent.Â https://openpaths.cc/
Big Data on your own Laptop
Computer scientists from Carnegie Mellon University have devised a framework for running large-scale computations for tasks such as social network or Web search analysis efficiently on a single personal computer. The software could help developers working on many modern tasks: for example, designing a new recommendation engine using social network connections. Get started! https://code.google.com/p/graphchi/