The VisHub provides equipment for visualization and interaction (Kit) to foster research, collaboration, learning, and outreach to researchers across the University. With this kit, the VisHub aims to support especially early career researchers (ECRs) in exploring novel ways to include interactive data visalizations into their research. The funding is coming from a capital grant to support the purchase of advanced tools for data visualization that has been received by the College of Science and Engineering at the University of Edinburgh.
As data visualization is facing ever increasing challenges in terms of data size and complexity, tasks, collaboration, and communication, novel technology have become into the focus of attention. How can we exploit advanced display and interaction technology support better perception, interaction, exploration, and engagement with data? Technologies such as touch-screens, augmented reality head-sets, virtual reality, and 3D printing have reached an unprecedented quality and accessibility. Most of these hardware can be set up easily and is mobile to be transported between labs and workplaces.
researchers and data analysts typically rely solely on their desktop or laptop computers to interact with their data. These are limited in display size and interaction techniques. Our labs will support complex data analytic tasks with large screens for collaborative co-located decision making, direct touch interaction, and virtual reality, as well as exploring the possibilities of touch devices, physical tokens, and mobile devices.
At the intersection of data analytics and the traditional science domains, novel display and visualization technology will lead to new research questions. The equipment in this grant will make it easy for researchers to carry out proof of concept studies in novel areas, equipping them with evidence for carrying out further research.
We aim to connect ECRs across domain boundaries and encourage them to discover common as well as novel methodologies in other domains. From our experience in cross-domain collaborations in data visualization, we strongly believe in the power and universality of data visualization methods across domain boundaries; while data in many domains is highly specific, common problems exist with respect to, e.g., large data sets, 3-dimensional data sets, as well as the visualization and exploration of complex networks, dynamic time-series, geographic data, etc. ECRs will benefit if they embrace analytical methods that have been proven helpful in other domains.
Collaborating across the University and beyond will stimulate research on novel and improved techniques and next generation interfaces for visualizing and interacting with data. Specific questions that require novel design solutions as well as evaluation include: visualization 3-dimensional stereoscopic space, direct interaction with holograms, collaboration in virtual reality, visualization of large data sets on wall-displays, interaction with wall-displays as well as hybrid environments that combine projectors, touch-walls, augmented reality and physical visualization, eventually leading to the creation of integrated and interactive immersive workspaces for data analytics. These research questions fall into the expertise of the Centre for Design Informatics.
Besides pure research, the VisHub will be a center for demonstration, teaching, and public engagement. This will help ECRs create impact around their work, gaining experience and visibility. Many of these activities will happen inside the Inspace facility, but others will happen in the atrium of the Bayes Centre or the Edinburgh Futures Institute. These provide a highly visible and engaging platform for showcasing research. We have emphasised portable equipment rather than fixed installations, as this enables cutting edge technology to be taken to events outside the university.
Al general quetions should go to Benjamin Bach
Most of our kit is stored at the Informatics Forum.
That will depend on a) your project, b) where you move it to, and c) demand. Get in touch with us
Some stuff is small, others you can easily move within Infomratics and Bayes. Again, others are too heavy to be moved away from Informatics.