Wesley Willett Tools and Strategies for Social Data Analysis
27th Jan 2014, 2:30pm - 3:30pm
PCRI, Salle 445 (how to get there ?)
There is an overwhelming amount of data all around us. However, individuals often don't have the time, knowledge, technical expertise, or diversity of perspectives to tackle large data analysis tasks on their own. As a result, data analysis tools must increasingly support collaboration and enable social interactions around data. Multiple analysts working on a dataset may need to share questions or views of the data with one another or gather their findings for presentation. Alternately, communities with local knowledge or a vested stake in the data may wish to engage in the analysis process. Analysts may also wish to enlist pools of crowd workers to perform specific analysis tasks at scale. Our current research explores the process of social data analysis and provides tools and strategies that integrate collaborative activities into a variety of different analysis settings. I will present: (1) social visualization tools that allow analysts to organize findings and facilitate deeper analytic reasoning, (2) approaches for scaffolding analysis in novice communities to enable participation and cultivate local knowledge, (3) tools and strategies for using paid crowds to generate explanations and insights, and (4) design explorations that examine the relationship between digital note-taking, analysis, and collaboration.
Wesley Willett is a post-doctoral researcher in the AVIZ group at INRIA-Saclay. He received his Ph.D. from UC Berkeley in 2012, where he studied with Dr. Maneesh Agrawala. Wes's research interests span information visualization, social computing, new media, and human computer interaction.