Visualizing Emergence

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).

 

Sponsor(s): 
Photograph of sLab members Greg Van Alstyne and Trevor Haldenby working at a table
NCE logo
CIVDDD logo
Monday, October 23, 2017 - 11:45am
Lab Member: 
Greg Van alstyne

Fetal Alcohol Visualizing

Working with large sets of intricate and comprehensive data, this research takes a highly interdisciplinary approach to dissecting the discourses that surround fetal alcohol spectrum disorders (FASD). Novel correlations across data collected from stakeholder groups, derived using advanced visual analytics tools, help to better inform new strategies for communicating FASD. The interdisciplinary approach to this project grants the researchers with the ability to employ creative methods of study; the design of striking infographics and innovative simulation technologies will serve the production of provocative public performance in an effort to refresh the dialogue on FASD.

 

Red and green DNA testing visualization
Friday, April 12, 2013 - 3:30pm
Lab Member: 
Paula Gardner
Patricio Davila
Lawrence Kwok
Tim Bettridge
Maggie Chan
Marjan Verstappen
Harjot Bal
Shuting Chang

Body Editing

Body Editing is a gesture and biosensor platform that returns feedback (in the form of music, sound and visuals) to users. Users can move, gesture or provide biometric data, for example, to paint a picture, form a fractal, create a sound scape or musical composition. It explores the relationship between the experience of movement, of biodata, and the generative production of data aesthetics. In this installation, users are tracked in the installation space, and as well, passersby are captured by a motion capture camera to contribute to the feedback; together they create a layered data visualization experience. 

 

Person waving their arms interacting with the work
Wednesday, February 15, 2012 - 4:00pm
Lab Member: 
Paula Gardner
Hart Sturgeon
Katherine Meyer
Andrew Hicks