DiD MIRACLE Project

Summary

MIRACLE (mining relationships among variables in large datasets from complex systems) is a Digging into Data (DiD) project that aims to build a cloud-based community platform for reproducible data analysis, visualization and management for ABM output data.

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 (DiD) Challenge. 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 Waterloo Institute for Complexity and Innovation (WICI). The international team includes participants from Arizona State University, USA (PI C. Michael Barton ) the University of Twente, NL (PI Tatiana Filatova) the University of Dundee, UK (PI Terence P. Dawson ) and the James Hutton Institute UK (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.

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People

Principal Investigator (PI):

Co-PIs:

Senior Researchers:

  • Gary Polhill
  • Xiongbing Jin
  • Allen Lee
  • Calvin Pritchard
  • Lorenzo Milazzo
  • Ju-Sung Lee

Student:

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Source Code

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Documents

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