Workshop 6: Interactive e-Science to Support Creativity and Intuition in Research
Organisers John Brooke, Steven Kenny, Lakshmi Sastry, Helen Wright
Description of workshop
This workshop will bring together end-users and developers with an interest in tools and methods that allow interaction with simulations, workflows and experiments over e-Infrastructure. Previous workshops at the AHM's have looked at the ability to steer and visualize large simulations running on distributed resources. Interest in such interactive access is increasing, the recent ESPRC funded CompuSteer network and the current vizNET have developed a community of users who are using steering and visualization to promote scientific discovery via in-silico methods. This workshop aims to promote discussion and to develop ideas that will extend the community employing such methods, make the tools easier to use and increase the functionality of the methods. It will focus on the novel methods of investigation and knowledge discovery enabled by such methods. We aim to bring together users interested in interactive e-Science, with the developers of tools aimed at creating more usable and powerful tools for interactive and collaborative access to simulations and data-processing workflows enabled via e-Infrastructure. We are seeking to develop methods that bring human intuition and creativity more fully into the e-Science process.
Call for papers
We will invite contributions around (but not limited to) the following themes relevant to interactive e-Science
- Examples of knowledge discovery arising from interactive e-Science
- Linking data gathering with simulation, e.g. using data derived from clinical or engineering practice to shape simulation.
- Use of visual and haptic methods of understanding and interacting with e-Science applications.
- Steering and interacting with workflows.
- Human computer interface issues, making it easy and comfortable to interact with simulation, workflow or remote experiment.
- Enabling distributed collaboration in extended explorations to explore data or simulation aimed at understanding real world behaviour.
- Methods for coping with latency and failure in interacting with a distributed system.
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