Dr Ulrich Engelke1, A/Prof Tim Dwyer2, Prof Kim Marriott2
1Csiro, Sandy Bay, Australia,
2Monash University, Clayton, Australia
- Ten invited talks by recognised immersive analytics experts
- Expert panel on challenges and opportunities of immersive analytics for scientific discovery
- Demo session to experience immersive systems first hand
Please download the booklet for detailed information about the workshop.
Immersive Analytics (IA) aims at using novel display and interaction technologies, such as mixed reality headsets, large wall displays, and cave-like environments, to facilitate a deep cognitive and affective involvement of humans when exploring and reasoning with data. IA is expected to have a profound impact on practices in a wide range of industries, some of which have already adopted immersive technologies.
It is subject to ongoing research though to identify the real benefit of using IA. This holds particularly true for data driven scientific discovery. To date, it is not well understood whether the promise of expanded perception and natural, intuitive interactions through IA lead to deeper insight and better informed decisions in scientific discovery.
In this workshop entitled “Immersive Analytics for Scientific Discovery” we address this issue by inviting IA researchers and practitioners as well as scientists from a range of different domains. The ultimate goals of the workshop are to bring these communities closer together and collaboratively identify the current state and future directions of IA for scientific discovery.
The program of the workshop will largely consist of three parts: (1) invited talks and a panel with speakers from a range or relevant disciplines in IA and domain sciences, (2) community building through round table discussions and other interactive exercises, and (3) a consensus discussion on future directions.
Outcomes of the workshop ideally will lead to common publications (e.g. survey or white paper), a special issue in a journal, and/or project/funding proposals for future research.
Ulrich Engelke is a Senior Research Scientist at CSIRO Data61, Hobart. Prior to to joining the CSIRO he was with Philips Research, The Netherlands. In 2016, he was seconded to IBM Research, USA. His current research focuses on the design and evaluation of visual and immersive analytics systems.
Kim Marriott received his PhD from University of Melbourne in 1989. After working at IBM TJ Watson, he took up a position at Monash University. He has around 200 peer-reviewed scientific publications in data visualisation, optimisation and programming language theory. He leads the Computer Human Interaction and Creativity (CHIC) discipline group at Monash University.
Tim Dwyer received his PhD from the University of Sydney in 2005, was a Research Fellow at Monash University until 2008, then Microsoft Research, USA in 2008-2009. He joined the Visual Studio product group at Microsoft 2009-2012. He returned to Monash University in 2012 and now co-directs the Immersive Analytics Initiative.