A project currently in development, Visualizing Emergence seeks to explore and visualize phenomena of emergence in data representing technologically mediated human communication and exchange within a techno-social complex adaptive system (CAS).
Using textual analysis and other data as substrate, research will focus on data from CIV-DDD partners, IBM Cognos and public sources, possibly including Twitter and other accessible APIs. In time we expect to aggregate data from additional sources. Leveraging senior researcher and student contributions from OCAD and York Universities, the project will explore and exploit a synthesis of scientific, artistic and aesthetic techniques, with software from partners including IBM / Cognos.
Project challenges include:
- Finding the right data set; evaluating data quality
- Representing, managing multi-variant data
- Models, metaphors; legibility, navigation
Visualizing Emergence will examine model-based scientific visualization of complex data sets as well as emergent systems, data mining techniques and visualization. We will test, review and select the most appropriate software approach for developing the data models and generating dynamic results. The work will also deliver findings tied to the following CIV-DDD project aims: appropriateness of 2D or 3D visualizations, visualization aesthetics, and use of specific vs. generic tools.
For more information, please visit http://slab.ocadu.ca/project/visualizing-emergence .
Visualizing Emergence is supported by NCE-GRAND. This project is funded in part by the Centre for Information Visualization and Data Driven Design established by the Ontario Research Fund (ORF).