Sponsors
Caleydoplex- Information Exploration in Teams
| Title | Collaborative information visualization |
| Time period | 2011 - 2014 |
| Sponsor | FWF Stand-alone Project |
| Project Number | P22902 |
| Abstract | Critical decisions involving a lot of data are rarely made by
a single person, but are rather discussed and evaluated by a team of
experts. Examples are doctors deciding for treatment of severe
illness, emergency services having to react to ongoing crises, or
engineers collaborating to make technical decisions concerning
expensive products. These activities can be assisted by information
visualization tools. However, traditional information visualization
rarely considers the collaborative nature of data analysis tasks. The
foundation of our research proposal is the extension of a multiple
view visualization system to a multi-display environment. Multiple
view visualization shows data in different representations and
thereby accommodates for different knowledge backgrounds and user
preferences. Multi-display environments turn unused wall and table
spaces into interactive surfaces using off-the-shelf projection
technology and integrate private workstations smoothly into this
shared interactive workspace. Our research aim is the design and
creation of a co-located collaborative information visualization
workspace dealing with two principal challenges: display space
management and collaborative interaction techniques. Intelligent
display space management adopts information visualizations and
placement of views automatically to the physical display properties
and supports the users interacting with the environment. Combined
with visual linking of related data entities distributed across the
environment, it will help to establish a common knowledge ground.
Collaborative interaction techniques are required to organize such a
rich, but potentially complex environment. We will investigate
high-level activity support for typical tasks in shared information
workspaces and how users can maintain awareness of each other’s
activities. The proposed research benefits from two ongoing projects
at Graz University of Technology: Deskotheque delivers the basic
technology necessary for collaborative work in multi-display
environments, while Caleydo, a visualization project from the
biomedical domain, provides an excellent use case, including the
necessary experts willing to collaborate in studies. Using these
frameworks, we plan to conduct several usability studies, with
prototypes of different levels of sophistication. This research is part of the project Caleydo. |
inGeneious
| Title | Holistic Visualization of Biomolecular and Clinical Data |
| Time period | 10.2009 - 12.2011 |
| Partner | SimVis |
| Sponsor | FFG BRIDGE Program |
| Grant Number | 385567 |
| Abstract (in German) | Ziel des Projekts inGeneious ist es, Visualisierungsmethoden und Work-Flows zu entwickeln, die Biologen und Medizinern bei der Analyse biomolekulare Daten im Kontext von klinischen Faktoren sowie biologischen Prozesse unterstützen. Die Berücksichtigung dieser Faktoren bei der Analyse von zum Beispiel Genexpressionsdaten ist entscheidend, da auf diese Weise Rückschlüsse über Zusammenhänge von genetischer Predisposition und Krankheitsverlauf gewonnen werden können. Zwei zentrale Forschungsfragen sind Gegenstand des inGeneious-Projektes. Zunächst soll eine ganzheitliche Betrachtungsweise der drei Datenräume durch Multiple-View-Verfahren und effizientes visuelles Verbinden von Informationen ermöglicht werden. Darauf aufbauend soll eine vergleichende Analyse divergierender Gruppen durch neue, vergleichende Visualisierungsmethoden ermöglicht werden. Experten erhalten damit ein Werkzeug um die immer größer werdende Menge biomolekularer Daten effizient verwenden zu können. |
VIPEM
| Title | Visual Analytics for Personalized Medicine |
| Time period | 11.2007 - 04.2010 |
| Sponsor | |
| Grant Number | L427-N15 |
| Abstract | VIPEM is an interactive data exploration system for the
“visualization of” and “navigation in” molecular and clinical data in
the field of personalized medicine. A multidimensional space
consisting of molecular and clinical data is screened and
hierarchically structured by applying algorithmic methods and direct
user interaction. The essential but to date unsolved problem VIPEM addresses in the emerging field of personalized medicine is the question of how to identify connections between genetic variants and their corresponding diseases or the response to certain drugs and treatments, respectively. It is therefore necessary, to e.g. connect gene data and clinical data in order to categorise specific subgroups of patients with certain diseases. The huge amount of data provided by molecular analytical methods (genetic polymorphisms, gene expression data, proteomics) can only be accomplished by applying bioinformatical and statistical methods. However, even standard methods of statistics and bioinformatics fail when the data are inhomogeneous – as is the case with clinical data – and when data structures are obscured by noise and dominant patterns. VIPEM should make the structure of the data spaces visible by using visualisation methods and allow an interactive navigation and structuring of both molecular and clinical data. VIPEM is based on fundamental results in the fields of information visualisation and multimodal user interfaces. Through a close link between several input channels, which are simultaneously active, and by immediate visualisation of the steps of the analysis, the expert is provided with a tool for the interactive exploration of complex data spaces. As input parameter for analysis algorithms VIPEM makes use of the human capacity to grasp complex patterns and correlations and therefore allows to reveal hidden structures. VIPEM aims to address the high demand for visual analytics in the field of bioinformatics. The innovative approach of VIPEM can be a unique selling proposition in this market, in such a way that we can see a promising commercial prospect for VIPEM and a marketable product within the period of two to three years. The VIPEM team aims at exploiting results either through a spin-off company or as strategic partner of an existing biomedical company. technology supplier of an existing biomedical company. This research is part of the project Caleydo. |
GENOPTIKUM
| Title | Visual Data Mining for Genetic Data |
| Time period | 08.2007 - 07.2009 |
| Sponsor | FFG FIT-IT Program |
| Grant Number | 813398 |
| Abstract | Genoptikum is an interactive data exploration system for the
visualization of and navigation in molecular and clinical data in the
field of personalized medicine. Genoptikum addresses the essential
but to date unsolved problem of how to identify connections between
genetic variants and their corresponding diseases or the response to
certain drugs and treatments, respectively. It is, therefore,
necessary to connect gene data and clinical data in order to
categorise specific subgroups of patients with certain disease
features. The huge amount of data provided by molecular analytical
methods (genetic polymorphisms, gene expression data, proteomics) can
only be analysed by applying statistical methods and bioinformatics.
However, even standard methods of statistics and bioinformatics fail
when the data are inhomogeneous as is the case with clinical data and
when data structures are obscured by noise and dominant patterns.
Genoptikum should make the structure of the data spaces visible by
using innovative methods of visualisation based on multiple high
resolution displays in combination with data projection technologies.
Genoptikum is bases on fundamental results in the fields of
visualisation of information and multimodal user interfaces which
enable an interactive navigation and structuring of both molecular
and clinical data. Through a close link between several input
channels, which are simultaneously active, and by immediate
visualisation of the steps of the analysis, the expert is provides
with a tool for the interactive exploration of complex data spaces.
As input parameter for analysis algorithms Genoptikum makes use of
the human visual capacity to grasp complex patterns to reveal hidden
structures and correlations in large data spaces. This research is part of the project Caleydo. |
GenView
| Title (in German) | Analyse von genetischen und klinischen Daten mit Methoden der Informationsvisualisierung und multimodaler Benutzerschnittstellen |
| Time period | 2005 - 2007 |
| Sponsor | Zunkunftsfond Steiermark |
| Abstract | This project is concerned with the visualization of Microarray data using multiple displays and visual data mining techniques. It was the first research activity that led to the project Caleydo. |
