Improved technologies have allowed faster and more powerful statistical analysis and changed how we “see” data. It’s now taken for granted that the best way to understand large, complex phenomena is by crunching the numbers via computers and projecting the results as visual summaries. To David Sepkoski, that’s not a bad thing, but it does pose some challenges. The complexity […]
Our three-part series on Big Data is an invitation to discussion.
We’re looking for YOUR best stories, essays and images related to Big Data in ecology and environmental science. We’ll highlight excerpts from our favorites here on our blog will be available within the comments of this blog.
We’re aiming to represent a range of ideas as well as cultivate deep discussions around focused subtopics. As long as it relates to Big Data and ecology/environmental science it’s fair game, but we are particularly interested in discussion of the following points:
What’s one of the biggest challenges of ecological Big Data, and how can/should we address it (or what is someone already doing to address it)?…