HypoVis: Modeling Hypotheses with Visual Analytics Methods

Aim: 

HypoVisThe primary goal of Visual Analytics is the close intertwinedness of human reasoning and automated methods. Our goal in HypoVis is the design and development of a Visual Analytics process that uses the inherent structure contained in time-oriented data as a way to improve the integration of human reasoning. This structure can, for example, be seen in the calendar aspect of time being composed of smaller granularities, like years and seasons. Our focus is the generation of models from hypotheses, consisting of bringing the hypotheses into an automated system, and validating it.

More Information:

Project Details
 Publications 

Duration: 

1.1.2011 - 31.12.2013

Funding: 

FWF Austrian Science Fund (P22883)

Contact: 

Lead

a.o. Univ.-Prof. Silvia Miksch, MSc, PhD
Favoritenstrasse 9 - 11 / 188
+43 (1) 58801 188 24

Research

Tim Lammarsch, MSc, PhD
Floragasse 7/Top 702
+43 (1) 58801–188 212
 

 

 

Status: 
finished