home · mobile · calendar · colloquia · 2010-2011 · 

Colloquium - Twidale

eXtreme Research? What Might It Look Like?
University of Illinois at Urbana-Champaign

Various attempts have been made to speed up the software development process, allowing for faster iterations and earlier discovery and rectification of problems. Currently, eXtreme Programming and Agile programming are popular approaches. How might we, inspired by these approaches, develop new ways of doing research better and faster? Can we figure out new approaches, particularly to tackling messy complicated problems which seem to have too many variables? Can this help us to get to grips with the complexities of how people are grappling with many different technologies, integrating them into their lives, coping, appropriating and innovating, changing what they do, and constantly adopting new applications and new versions of existing applications and infrastructures? How might we do innovative interface analysis and design better in a context of rapid change, combination and appropriation? I want to explore these questions looking at some examples involving mashup programming, patchwork prototyping and low cost visualizations.

Michael Twidale is a Professor of the Graduate School of Library and Information Science, the iSchool at the University of Illinois at Urbana-Champaign. His research interests include computer supported cooperative work, computer supported collaborative learning, human-computer interaction, information visualization, and museum informatics. Current projects include studies of informal social learning of technology, technological appropriation, collaborative approaches to managing data quality, the use of mashups to create lightweight applications, collaborative information retrieval, ubiquitous learning and the usability of open source software. His approach involves the use of interdisciplinary techniques to develop high speed low cost methods to better understand the needs of people, and their difficulties with existing computer applications as part of the process of designing more effective systems.

Department of Computer Science
University of Colorado Boulder
Boulder, CO 80309-0430 USA
May 5, 2012 (14:13)