Tutorial 1: CogSketch Tutorial
organized by Kenneth D. Forbus, Maria Chang, and Andrew Lovett

People sketch to work out ideas and to communicate with each other. This makes it a natural window into exploring spatial cognition, and for creating software that works more naturally with people. Sketch understanding software can be used to help model aspects of human cognition, to gather data from human participants in experiments, and in developing new kinds of intelligent software. CogSketch, a publicly available sketch understanding system, is being developed to support cognitive science research and to serve as a platform for sketch-based educational software. CogSketch incorporates visual processing of digital ink, qualitative spatial representations, analogical matching over integrated spatial and conceptual representations, and a large open-source knowledge base. It has already been used by psychologists and learning scientists for gathering data in laboratory experiments, by cognitive scientists to simulate human visual reasoning, and in classroom experiments in geoscience and engineering. This half-day tutorial is intended for cognitive science researchers who want to use sketching in their research. Attendees will learn the basics of CogSketch and how it might be used to facilitate their research. This includes a summary of its representations and processing, and the support it provides for laboratory experiments, computational experiments, and building educational software.

Tutorial 2: Tutorial on Information Visualization for Innovating Research Methods
organized by Tomi Kauppinen and Willem van Hage

In this tutorial we will introduce visual approaches for investigating spatial data in the context of other dimensions (such as social or temporal). The goal is to show via examples how information visualization supports innovating new research methods. The tutorial materials will be made available online at LinkedScience.org/tutorials. The main tutorial exercises will be done within the morning of the tutorial day.  For the afternoon there is an optional session for studying how to apply visual analytics techniques to data brought by participants. Thus while the focus of hands-on exercises of the morning session is in existing case examples the optional afternoon session is more about brainstorming and exchanging ideas about suitable methods for the data from the participants.