The mod4PH Research Highlights podcast showcases new and relevant mathematical modelling concepts and research for public health.

This mod4PH podcast mini-series aims to highlight the groundbreaking work from the Artificial Intelligence and Mathematical Modelling Lab (AIMMLab), directed by Dr. Jude Kong. The AIMMLab is focused on developing and deploying innovative AI, data science, and mathematical methodologies and technologies to resolve complex issues for real-world application in epidemiology, ecology, and data processing. During these five episodes, we will discuss with AIMMLab members the ways in which they are leveraging novel AI tools for mathematical modelling and for Canadian public health.

1.     Episode 5: Reflections on AIMMLab projects from previous episodes, international collaboration to strengthen Canadian healthcare systems, and the AIMMLab vision for the next five years with Dr. Jude Kong.

The mod4PH Research Highlights podcast showcases new and relevant mathematical modelling concepts and research for public health.

This mod4PH podcast mini-series aims to highlight the groundbreaking work from the Artificial Intelligence and Mathematical Modelling Lab (AIMMLab), directed by Dr. Jude Kong. The AIMMLab is focused on developing and deploying innovative AI, data science, and mathematical methodologies and technologies to resolve complex issues for real-world application in epidemiology, ecology, and data processing. During these five episodes, we will discuss with AIMMLab members the ways in which they are leveraging novel AI tools for mathematical modelling and for Canadian public health.

Episode 4: The use of AI and unconventional data sources for early warning modelling systems, and the co-development of community-based digital health tools with Dr. Zahra Movahedi Nia and Dr. Gelan Zewdie.

The mod4PH Research Highlights podcast showcases new and relevant mathematical modelling concepts and research for public health.

This mod4PH podcast mini-series aims to highlight the groundbreaking work from the Artificial Intelligence and Mathematical Modelling Lab (AIMMLab), directed by Dr. Jude Kong. The AIMMLab is focused on developing and deploying innovative AI, data science, and mathematical methodologies and technologies to resolve complex issues for real-world application in epidemiology, ecology, and data processing. During these five episodes, we will discuss with AIMMLab members the ways in which they are leveraging novel AI tools for mathematical modelling and for Canadian public health.

1.     Episode 3: Incorporating human behaviour in models of disease transmission, novel applications of AI in math modelling, and addressing AI-related data privacy concerns with Dr. Qing Han and Dr. Abbas Yazdinejad.

The mod4PH Research Highlights podcast showcases new and relevant mathematical modelling concepts and research for public health.

This mod4PH podcast mini-series aims to highlight the groundbreaking work from the Artificial Intelligence and Mathematical Modelling Lab (AIMMLab), directed by Dr. Jude Kong. The AIMMLab is focused on developing and deploying innovative AI, data science, and mathematical methodologies and technologies to resolve complex issues for real-world application in epidemiology, ecology, and data processing. During these five episodes, we will discuss with AIMMLab members the ways in which they are leveraging novel AI tools for mathematical modelling and for Canadian public health.

1.     Episode 2: AI and math modelling tools to advocate for community health, and the development of an explainable AI tool for epidemic modelling with Sherif Shuaib and Dr. Yang Xu.

The mod4PH Research Highlights podcast showcases new and relevant mathematical modelling concepts and research for public health.

This mod4PH podcast mini-series aims to highlight the groundbreaking work from the Artificial Intelligence and Mathematical Modelling Lab (AIMMLab), directed by Dr. Jude Kong. The AIMMLab is focused on developing and deploying innovative AI, data science, and mathematical methodologies and technologies to resolve complex issues for real-world application in epidemiology, ecology, and data processing. During these five episodes, we will discuss with AIMMLab members the ways in which they are leveraging novel AI tools for mathematical modelling and for Canadian public health.

1.     Episode 1: Introduction to the AIMMLab, program framework, and foundational pillars of research with Dr. Jude Kong.

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.

In this last episode of Season 1, we invite Carmen Jones to reflect on all the discussions we have had with guests on the Voices of Sovereignty podcast this past year and share some highlights from the conversations we have had with guests. Also joining us are Tracy Antone and Ryan McMahon, who share perspectives on the Chiefs of Ontario’s exciting 50-year anniversary, some plans in store for the future of COO and season 2 of this podcast series!

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.

In Episode 10, Trevor Koostachin and Zachary Smith join us to talk about capacity building for First Nations Data Sovereignty at the Chiefs of Ontario (COO). Trevor and Zachary share their personal journeys in this field, describe the current data landscape at the COO Research and Data Management Sector, and expand on some exciting work the sector has planned for the near future.

In Episode 9 of the Voice of Sovereignty podcast, Diane Jacko and Michael McCormick from the Wikwemikong Health Centre and Michael Staruck from the Education Sector at the Chiefs of Ontario are joining the Voices of Sovereignty Podcast to showcase some of the exciting work that they all have been involved in in their respective sectors. Together, we discuss how projects grounded in the principles of First Nations Data Sovereignty has allowed each of these sectors to improve programming and build a stronger future for communities.

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.

In this episode, Gordon Peters is joining us to share his experiences working to support First Nations data sovereignty efforts, and what it means to conduct research that incorporates and respects First Nations culture and ways of knowing.

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.

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 6, we went over what mathematical modelling is in the context of infectious diseases and public health decision making. We also discussed how this research project came to be, and the process of getting this model up and running. We will explore the technical aspects of the model and discuss the data that was used in Episode 7 (Part 2).

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.

In episode 5, we will be speaking to Roseanne Sutherland and Thresea Adams from the Chiefs of Ontario about the First Nations Regional Health Survey. Together, we will discuss the importance of the Regional Health survey for the health and well-being of First Nations communities, how the data from the survey is used, and take a closer look at how communities are engaged for this survey. 

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.

In episode 4 of this podcast series, Erin Corston and Gonzague Guéranger from the First Nations Information Governance Centre are joining us to share the story behind the development of the First Nations Data Governance Strategy (FNDGS) and talk about a new FNDGS video titled “Stronger Together”, which is about the power of communities joining together to achieve multigenerational First Nations data sovereignty. 

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.

In this second episode, we’ll be speaking to Math’ieya Alatini from the One Yukon Coalition, joining us to share their insights about working on the Wastewater Monitoring Program, and how this program is dedicated to the collection and sharing of data to advance the health and wellness priorities of Yukon communities. Together, we’ll talk about One Yukon’s collaboration with communities, municipalities, and all levels of government, the science behind wastewater monitoring, and how this program aligns with the principles of First Nations data sovereignty. 

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.

In this first episode, we will be speaking to Carmen Jones from Chiefs of Ontario (COO) and Mariette Sutherland from the Ontario First Nations Information Governance Centre (FNIGC) about how their work upholds the principles of data sovereignty and can lead to better health outcomes for First Nations communities.

In our last episode, we are joined by guest Heather to discuss another theme of our qualitative analysis - changes in safety-related concerns among trans and nonbinary people during the pandemic. Through this episode our guest describes the ways in which some trans and nonbinary people experienced heightened safety concerns in addition to those related to the pandemic.

Through this episode, our guest Shadi speaks about another theme of the qualitative data analysis - the way COVID strained social networks, made it challenging to connect to the trans community, and the impact of virtual communication had on relationships.

In this episode along with our guest Hazel, we focus on another theme we found in the Trans Pulse COVID qualitative paper. We discuss the heightened financial, employment, and housing precarity that some trans and nonbinary folks experienced during the pandemic and the way this impacted community members.

In this first episode, podcast host Leo Rutherford describes Trans Pulse Canada and its sub-study about COVID-19. He shares details of a thematic analysis of qualitative free-form responses from a national survey of trans and nonbinary people. In addition, the public health implications and key take-aways from the results of our study are described.

NCCID's new mod4PH Research Highlights podcast showcases new and relevant mathematical modelling concepts and research for public health. 

In this episode, we spoke with Dr Jane Heffernan from York University about using mathematical modelling methods for understanding and controlling infectious diseases in individuals (or immunology) and in populations (or epidemiology), and discuss the differences between within-host and population-level modelling.

NCCID's new mod4PH Research Highlights podcast showcases new and relevant mathematical modelling concepts and research for public health. In this episode, we will be speaking to Dr Melanie Cousins from the Public Health Agency of Canada about some of her PhD work, which was recently published in an article titled "Is scientific evidence enough? Using expert opinion to fill gaps in data in antimicrobial resistance research".

NCCID's new Mod4PH Research Highlights podcast showcases new and relevant math modelling concepts and research for public health. 

In this episode, we will be speaking to Dr Michael Li, who is a Senior Scientist at the National Microbiology Lab, Public Health Agency of Canada (PHAC). Michael currently applies his modelling skill set at PHAC in the development and analysis of disease transmission models of COVID-19, mpox transmission, and other infectious diseases in Canada. 

Today, Michael spoke with us about a fairly gigantic topic - the past, present, and future of infectious disease modelling for public health.

NCCID's new Mod4PH Research Highlights podcast showcases new and relevant mathematical modelling research for public health.

In this episode, we will be speaking to Dr. Gwen Knight.

She is an Associate Professor at the London School of Hygiene and Tropical Medicine, and co-Director of the LSHTM Antimicrobial Resistance Centre. Gwen’s research is focused on mathematical modelling of the interactions between demographic factors and antimicrobial resistance (or AMR), One Health approaches to AMR at the farm level, and the interactions between bacteria and bacteriophage. Gwen spoke with us about her research in modelling antibiotic resistance and the implications of this work for public health. 

NCCID's new Mod4PH Research Highlights podcast showcases new and relevant mathematical modelling research for public health.

In this episode, we will be speaking to Dr. Rachael Milwid.

After completing her postdoctoral fellowship at McGill University, Rachael joined the Public Health Agency of Canada in August 2021. Since then, she has used her mathematical modelling skill set in the development and analysis of disease transmission models of COVID-19 importation into Canada, mpox transmission, and other exciting projects.

Today, Rachael spoke with us about her experiences and considerations as a math modelling researcher during the COVID-19 pandemic.