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Voices of Sovereignty Podcast Series: Episode 7
Manage episode 456125107 series 1014382
Through insightful conversations, compelling stories, and thoughtful analysis, the Voices of Sovereignty podcast aims to shed light on the importance of First Nations Data Sovereignty and inspire collective action towards a future where First Nation peoples have full control over their data, their narratives, and their destiny.
Dr. Jennifer Walker from McMaster University and Dr. Sharmistha Mishra from the University of Toronto joined us for a two-episode feature to talk about the COVID-19 Scenario model. Over the course of these two episodes, we walked through the process of this project from conceptualization to the implementation and application of the model, and what First Nations data sovereignty means for modeling research. In Episode 7, we explored the data used for this project, as well as the more technical aspects of the model and what makes this model unique. We wrapped up this two-episode feature by reflecting on some lessons learned and how we can re-think math modelling in the future.
72 episodes
Voices of Sovereignty Podcast Series: Episode 7
Infectious Questions : An Infectious Diseases Public Health Podcast
Manage episode 456125107 series 1014382
Through insightful conversations, compelling stories, and thoughtful analysis, the Voices of Sovereignty podcast aims to shed light on the importance of First Nations Data Sovereignty and inspire collective action towards a future where First Nation peoples have full control over their data, their narratives, and their destiny.
Dr. Jennifer Walker from McMaster University and Dr. Sharmistha Mishra from the University of Toronto joined us for a two-episode feature to talk about the COVID-19 Scenario model. Over the course of these two episodes, we walked through the process of this project from conceptualization to the implementation and application of the model, and what First Nations data sovereignty means for modeling research. In Episode 7, we explored the data used for this project, as well as the more technical aspects of the model and what makes this model unique. We wrapped up this two-episode feature by reflecting on some lessons learned and how we can re-think math modelling in the future.
72 episodes
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