The Big Data Challenge is an effort by the U.S. government to find new and inventive ways to use the huge and diverse sets of data maintained by numerous government agencies. There is a lot of data out there, collected for many different purposes and in many different formats that make interoperation very challenging. How can we make heterogeneous (dissimilar and incompatible) data sets homogeneous (uniformly accessible, compatible, able to be grouped and/or matched) so usable information can be extracted? How can information then be converted into real knowledge that can inform critical decisions and solve societal challenges? Those are the questions we'd like you to help us answer. We're looking for your ideas about how to coordinate data sets drawn from multiple domains, and about what end uses we should be working toward.
Please note that regardless of what is displayed elsewhere on this page, we will be paying out $750 for each of the top three ideas.
1st place: $750
2nd place: $750
3rd place: $750
We will also pay a 30% bonus to prize-winning ideas that make use of streaming data, as noted on the contest wiki page.