Despite recent research interest, desktop search is under-explored compared to other search domains such as the web, semi-structured data, or flat text.  Even with the availability of several new desktop search tools, users are more successful finding information through browsing their personal collections and subsequently show preference for this approach. Problems with existing desktop search tools include performance issues, an over-reliance on good query formulation, and a failure to fit within the user’s work flow or the user’s mental model. As the available storage for desktop collections becomes cheaper and more plentiful and new media types continue to appear, the size and types of items stored in personal collections is growing rapidly. The need for effective methods to integrate the interaction experience between different information types is becoming ever more pressing. This workshop aims to bring together people interested in desktop search with the goal of fostering collaborations and addressing the challenges faced in this area.