Core ideas that orient a significant amount of my formal urban planning research work include the exploration of complexity science by means of various network science approaches. I make use of computational modeling including artificial intelligence and machine learning with a focus on social/spatial interactions.
My formal research development themes include doctoral work at the University of Waterloo School of Planning that is focused on new ways to measure the social fabric of neighborhoods toward a larger project of developing a social MRI for cities. I am a member of the Waterloo Institute on Complexity and Innovation (WICI) and served on the Program Committee for the WICI Conference on Modelling Urban Environments where I presented two papers. I have also developed and taught several undergraduate and graduate courses at the University of Waterloo.
For the past few years I have been on the Program Committee for the Computational Social Sciences Society of the Americas and served on the Advisory Board of the University of Virginia Thriving Cities Project. I am a peer review referee for Springer Nature and other academic publishers. I have also presented papers and published with the Complexity and Policy Studies conference hosted annually in Washington, DC.
Current computational modeling work includes development of an international team of computer scientists and dynamic systems people that is pursing new frontiers on institutional primitives (Social Primitives Experimental Cohort - SPEC). We expect to have at least two papers at the Fall 2019 CSS conference that review the state of our modeling experiments.
My public policy work on urban issues takes place through my role as the Program Director of the Social Cities program at Cardus and I have served a three-year term as an elected municipal councillor and run in two other municipal campaigns.