News Details

Call for Participation

January 27, 2012

NSF Science of Interaction for Data and Visual Analytics Workshop

March 6-7, 2012

University of Texas, Austin

The ever growing volumes of science and user generated data creates a need for valuable, timely analysis tools that enable interactive visual analysis to help sensemaking and provide critical insights from this sea of data. Key findings in visual analytics have illustrated that collaboration over and interaction with data are key components that complete the integrated computational-human decision making loop. This occurs at many levels from individual manipulation of data representation, to interactive cognitive discovery combined with automated analysis, to coordinative and collective interactive analysis among groups of individuals.

The principle goal of this two-day workshop is to define a research agenda for the “Science of Interaction” to support ubiquitous and collaborative analysis and discovery utilizing new, transparent interaction tools. The resulting agenda should seek to integrate six challenge topics that would support the future of effective Data and Visual Analytic systems:


The resulting research roadmap for the Science of Interaction for Visual and Data Analytics will be targeted for publication at a top-tier journal in visualization or human-computer interaction and form a roadmap for NSF in defining new critical research topics.

Submitting to the Workshop

Participants in the workshop will be selected based on a two-page position statement that relates to one or more of the challenge topics above. Position papers are due Monday, January 30, 2012. Participants selected for participation will be notified Friday, February 10, 2012.

Position papers should be sent to the workshop organizers David Ebert (Purdue University) and David McDonald (University of Washington) at

This workshop is supported by the National Science Foundation award IIS-1144379. Partial to full travel and accommodation support will be available to participants.

  • Ubiquitous, embodied interaction
  • Capturing user intent to guide the analytical process
  • Knowledge-based interfaces based on visual cognition and machine reasoning
  • Effective collaboration and collaboration tools
  • Principals of design, perception, and usability
  • Composability and integration of tools

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Contact Details

  • David Ebert (Purdue University) and David McDonald (University of Washington)

More Information

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