In Biomedicine and the Life Sciences there is an exploding amount of complex data, where traditional approaches of knowledge discovery often yield insufficient results.

We combine mathematical and informatical approaches to find user-centred solutions on how to deal with this data flood.  To help to reach this goal, we work consistently on bringing together aspects of the best of two worlds by creating a synergetic combination of methods and approaches from Human–Computer Interaction (HCI) and Knowledge Discovery from Data (KDD). We follow a quality approach, combining the hypothetico-deductive method, cross-linked with the PDCA-Deming cycle.

Our Motto: Science is to test ideas (weird ideas ;-) ), Engineering is to put these ideas into Business!

In der Biomedizin explodiert quasi die Menge der anfallenden komplexen Daten, wo traditionelle Ansätze zur Wissensentdeckung oft nur unzureichende Ergebnisse liefern.

Wir kombinieren mathematische und informatische Ansätze um interaktive und benutzerfreundliche Lösungen zum benutzerzentrierten Umgang mit diesem Daten-Tsunami zu entwickeln. Um dieses Ziel zu unterstützen arbeiten wir an einer synergetischen Kombination zweier Bereiche: Mensch-Computer Interaktion und Wissensentdeckung in Datenmengen. Dabei folgen wir einem Qualitätsansatz um die Hypothetico-Deduktive Methode mit dem PDCA-Deming Zyklus miteinander zu verzahnen.

Unser Motto: Wissenschaft is das Überprüfen von Ideen (auch verrückte Ideen ;-) ), Ingenieursarbeit ist diese Ideen in die Praxis zu bringen.

Latest News

July, 21, 2013 Visual Analytics for Biological Data

Special Issue in IEEE Computer Graphics & Applications Link: http://www.computer.org/portal/web/computingnow/cgacfp2 Categories visual analytics biological data image processing visualization Call For Papers – Visual Analytics for Biological Data Final submissions due: 21 July 2013 Publication date: March/April 2014 The emergence of pre-eminent systems approaches in biological and life-sciences creates enormous challenges for computational visualization techniques to enable researchers to gain insight from their large, highly complex, and multiple data sets. The special issue of IEEE Computer [...]

HCI-KDD CfP due to February, 15, 2013

HCI-KDD@SouthCHI’13 Call for Papers Human-Computer Interaction & Knowledge Discovery at SouthCHI’13, July. 1-3, Maribor, Slovenia Special Session Papers due to February, 15, 2013 (Camera Ready: April, 15, 2013) http://www.hci4all.at/?page_id=1273 Organization: Andreas HOLZINGER, Gabriela PASI, Andreas AUINGER Inquiries: a.holzinger AT hci4all.at We are facing a flood of big data – most of it “unstructured”. The Task Force HCI-KDD pursues an ultimate goal: to combine the best of two worlds: Knowledge Discovery, dealing with computational intelligence and [...]