There's a lot of new ground to be explored in large-scale image processing.
Pete Warden walks through the steps behind his latest Facebook visualization.
Creating a visualization requires more than just data and imagery. Pete Warden outlines the process and actions that drove his new Facebook visualization project.
HubSpot has found the sweet spot between data, education and customer loyalty.
HubSpot's location (near Boston) and its target market (small businesses) may keep it under the radar of Silicon Valley, but the company's approach to data products and customer empowerment are worthy of attention.
Transaction costs, crowdsourcing, and the persuasiveness of data were all in play long ago.
Examples from the Victorian era show that if we're going to improve the world with data, it's absolutely essential we stay grounded in reality.
It's time to accept and work within the limits of data anonymization.
Because we now have so much data at our disposal, any dataset with a decent amount of information can be matched against identifiable public records. To keep datasets available, we must acknowledge that foolproof anonymization is an illusion.
Counterpoints to four common data science criticisms.
While formal boundaries and professional criteria for "data science" remain undefined, here's why we should keep using the term.
Apple issues a statement on location and says iOS fixes are coming soon.
Apple announces fixes and sheds more light on location data. Plus, a look at some of the reporting and potential applications that have popped up.
Researchers and reporters are exploring many of the issues related to mobile location data.
The iPhone tracking story led to a host of related investigations. Here's a look at some of the latest developments.
Analysis and criticism came in the wake of our iPhone tracking story.
The iPhone tracking story published here a few days ago struck an unexpected nerve. Here's a selection of the most interesting immediate reactions.
Data acquisition for a site like CrunchBase may not carry the costs some assume.
The data acquisition process should be increasingly automatic, and so increasingly cheap. I'm hoping for a world where information producers are paid for extracting value from that data.