In order to fully understand how the brain works, it is essential to study the complex inter-play of cognitive processes that are characteristic when interacting with a rich natural environment. Going beyond the localization of individual aspects of brain function is pivotal as there are clear limits to what we can learn about the function of the brain as whole via restricting investigation to specialized cognitive sub-systems in feature deprived laboratory settings. We believe that there is need for more publicly available data on real-life cognition, as well as analysis strategies to study complex concurrent neural processes. We invite research groups and individuals to participate in a contest to master these challenges. As a starting point, we have published a large dataset (functional MRI, simultaneous cardiac and respiratory measurements, technical noise estimates, high-res structural images (T1w, T2w, SWI, angiography, DTI), and stimulus annotations) that is available to anyone without restrictions: Hanke, M., Baumgartner, F.J., Ibe, P., Kaule, F.R., Pollmann, S., Speck, O., Zinke, W. & Stadler, J. (2014). A high-resolution 7-Tesla fMRI dataset from complex natural stimulation with an audio movie. Scientific Data, 1. doi:10.1038/sdata.2014.3 Among all submissions that are received until November 1 2014 a jury will determine the best contributions in terms of novelty of the approach, scientific rigor, and potential impact on future research and application. The best three contributions will receive an award (3000, 1500, and 500 Euro respectively) sponsored by the Center for Behavioral Brain Sciences, Magdeburg, Germany. The jury consists of: Uri Hasson (Princeton University) James Haxby (Dartmouth College) Daniel Margulies (MPI Leipzig) Russ Poldrack (U Texas, Austin) Jean-Baptiste Poline (Neurospin) Stefan Pollmann (CBBS, Magdeburg) Peter Ramadge (Princeton University) For more information, demos, and data access visit: http://studyforrest.org