Speaker: Maria Moon, Art Center College of Design.  Moderator: Madeleine Clare Elish. Abstract: neurographica investigates the ways in which design can be used to explore and analyze neurological data. Traditionally, the predominant role of design in the scientific process has been to visually encapsulate, model, or evidence a particular argument or conclusion. However, as developments in technology provide scientists with unprecedented amounts of data, there has been a growing need for design to be inserted earlier in the process. Working in tandem with the science, design becomes an ideal means for exploration, analysis, and discovery. While current modalities of visualizing data remain limited to traditional forms of statistical analysis, accessible programming languages, such as Processing, enable designers to structure new ways data can be dynamically expressed. By applying the visual approaches that are their core competencies, designers can innovate and create unexpected ways to encounter data for analysis and assessment. neurographica is the culmination of a series of studies that expand upon this premise and asserts that in collaboration with scientists, the meaningful, interesting, and unforeseen await to be discovered and revealed.