Presentations

Teaching Circle -- Sue Chiblow, Diane Longboat, and Dr. Vandana Shiva, at University of Waterloo, Tuesday, July 14, 2020

This conversation with Vandana Shiva, Diane Kahontakwas Longboat, and Sue Chiblow was moderated by Jodi Koberinski.

CLICK ON THE LINK for a recording of this presentation: Teaching Circle July 2020

"Our paths crossed in the summer of 2016, when the TEK Elders Group asked Kahontakwas to arrange a meeting with Vandana Shiva at the office of the Chiefs of Ontario.

This talking circle was an opportunity for three powerful women, all voices for ecological justice, to...

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Comprehensive Exam Presentation Slides, at University of Waterloo, Tuesday, April 14, 2020:

Overview:

Ongoing colonialism and lack of self-determination for Indigenous peoples in the land known as Canada pose serious obstacles to confronting ecosystem disruption and extractivism, and to moving towards more sustainable paths for future generations, and improved relationships with all beings. With attention to Indigenist perspectives, and in the context of land use -- timber extraction in particular --  I critically analyze a) the literature at the nexus of Indigenous worldviews and western science-based settler epistemologies; and b) the literature on food...

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S(ymplectic) duality: where do we stand?, at Fields Institute, Toronto, Friday, February 7, 2020

video of the talk

Around 2007, Braden, Licata, Proudfoot and I came up with the slightly daft idea that certain singular symplectic varieties come in dual pairs whose definition we could not explain, with relations between them that we struggled to articulate, let alone prove. By 2014, we were able to produce at least a coherent list of properties we expected to match in dual pairs, the most striking being a Koszul duality between associated category O's.

This was...

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Line defects and tilting bundles, at Fields Institute, University of Toronto, Tuesday, November 19, 2019:

video of the talk

Abstract: 

 

Work on Bezrukavnikov and Kaledin provides a bridge between representation theory and algebraic geometry, giving an equivalence of derived categories between certain categories of coherent sheaves and non-commutative algebras. Their original construction involved a strange detour into the land of characteristic p, but with some insight from 3-d gauge theory, we can avoid this in the case of BFN Coulomb branches,...

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PAPER: Claiming neurodiversity: Autism, expertise, and resistance, at National Women's Studies Association Conference 2019, San Francisco, Saturday, November 16, 2019:

 

Authors:

  • Margaret F. Gibson, Renison University College at the University of Waterloo
  • Patty Douglas, Brandon University

What are we to make of neurodiversity discourse, both in its activist origins and its more recent expansions into the mainstream? Drawing upon blogs, research articles, and popular media, and engaging with critiques from feminist science and technology/disability studies, this paper considers how neurodiversity arguments for a re-valuation of autism and other forms of human variation...

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Machine Learning for Modelling and Decision Making in Complex Physical Domains, at Centre for Artificial Intelligence Decision-making and Action (CAIDA), University of British Columbia, Vancouver, BC, Monday, November 4, 2019

Abstract:

My lab at the University of Waterloo carries out work on a variety of topics within Artificial Intelligence and Machine Learning with a focus on using real world problems to discover computational challenges for modelling of uncertainty, dealing with large or streaming datasets, learning predictive models and enabling decision making.  In this talk I will provide a brief overview of a few ongoing projects where these challenges arise from different sources.  In combustion modelling for energy production and engine design, standard practices...

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Artificial Intelligence in Support of Physics and Other Complex Domains., at National Research Council, Ottawa, Canada, Thursday, October 17, 2019:
I was invited up to NRC in Ottawa to give a talk on the work I am doing with Dr. Isaac Tamblyn there on using Reinforcement Learning for challenging problem of Material Design and Discovery. The research question from an AI perspective is essentially "Can we train a chemical lab manager using RL if we have simulations of the individual processes and begin with some foundational expert knowledge?". The talk was part of an local conference launching the new AI... Read more about Artificial Intelligence in Support of Physics and Other Complex Domains.

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