We are very excited to announce that in collaboration with colleagues at Bates College (Michelle Greene), North Dakota State University (Ben Balas), and UN Reno (Paul MacNeilage) our lab has been awarded an NSF EPSCoR Track II Grant to fund the creation of a Visual Experience Database (#vedb). The intent of this project is to capture a dataset of head-mounted video with eye tracking that is representative of what humans see on a day-to-day basis. We will ultimately share this data freely through an online database, including video with eye position, head position, and many other annotations. The aim is to sample hundreds of people going about the tasks (and idle moments) that constitute their daily lives. We hope the data will be useful for addressing many questions about human eye movements and perception, and that it will lead to a better understanding of the natural statistics of the human visual diet. Stay tuned for updates!