The Nonlinear Datapalooza turns this process upside-down: no hierarchy, no finished work, and no boundaries to forming new collaborations and learning new methods. As the name suggests - the Nonlinear Datapalooza is all about getting together to analyze data. Who will be attending: (A) methods experts to obtain new data sets to analyze (B) people with data sets who would like to learn new approaches to analysis and (C) content experts and students who want to learn new methods and contribute as co-authors on more high quality publications. Essentially - the conference will match people who would like to write up "methods" and "results" with those who would like to write up "introductions" and "discussions." In the process, methodologists will learn about other disciplines and further validate their tools, while content experts and students will learn how to apply new methodologies to their work. Each attendee should be able to try out at least one new method and become an author on at least one original publication produced during the conference. At the same time, the work produced should make a serious impact on the field of nonlinear science, as we produce multiple papers with the potential to combine different methodologies.