Waterloo Institute for Complexity & Innovation (WICI) core member and director Dawn Parker has received new grant funding from the Social Sciences and Humanities Research Council (SSHRC) via the Digging into Data Challenge (DiD). The international DiD program was established to advance the use of computational methods to explore, analyze and visualize the rapidly expanding pool of crowd-sourced and remotely sensed “big data” from real-world systems. Unique among this year’s awards, Parker’s research team is developing tools to analyze output from computerized simulation models and compare that output to real-world “big data.”
The University of Waterloo is the lead institution for the larger DiD $567,000 (U.S.) project titled, Mining relationships among variables in large datasets from complex systems (MIRACLE). Local WICI team members include post-doc Xiongbing Jin and graduate student Kirsten Robinson. The project will be hosted through the WICI. The international team includes participants from:
- Arizona State University, U.S.A. (principal investigator: C. Michael Barton),
- University of Twente, The Netherlands (principal investigator: Tatiana Filatova),
- University of Dundee, U.K. (principal investigator: Terence P. Dawson), and
- James Hutton Institute, U.K. (collaborator: J. Gary Pohill).
MIRACLE will be a community platform that will support complex systems research across research communities. Our research group is very appreciative of SSHRC’s top dollar support for our innovative new venture to create community infrastructure that will be available to local stakeholders, university researchers, and the international community to support complex systems research.
- Download a draft paper on how to use the prototype MIRACLE cloud-based platform (PDF).
- Download an overview of the technical details of this research project (PDF).
- For related work on the University of Waterloo campus, see also Session 1 of the WICI data visualization and analysis symposium.
- Download the Call for Participation (PDF) to the related workshop at the 8th International Congress on Environmental Modelling and Software (iEMSs 2014) conference.
- January 16, 2014 – National Science Foundation (NSF), "National Science Foundation contributes to four international projects in data-intensive social science and humanities research".
- January 17, 2014 – University of Waterloo, "Waterloo researcher uses big data to see LRT impact on housing market".
- January 23, 2014 – Arizona State University, "ASU professor wins ‘Digging Into Data’ challenge".