Video - Data Science and Modern Methods Forum – June 23, 2021

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Data Science and Modern Methods Forum – June 23, 2021 - Video transcript

(The Statistics Canada symbol and the Canada wordmarks are on screen with the title: "Data Science and Modern Methods Forum – June 23, 2021")

(Sevgui Erman is on screen with 2 interpreters)

I am Sevgui Erman, Chief Data Scientist and Director of Data Science here at Statistics Canada and I will be moderating today's event.

(The word: "Presenters" is on screen with the following names: "Sevgui Erman, Blair Drummond, Nick Denis, Saeid Molladavoudi, Andres Solis Montero")

(Sevgui Erman is on screen with the 2 interpreters)

The purpose of this forum is to create awareness of the types of machine learning and AI AI intelligence, artificial intelligence applications that are being leveraged by programs in our organization.

(Nick Denis is on screen with 2 interpreters. A slide with the title “Learning Optimal Intervention Strategies Through Agent-Based Reinforcement Learning” is on screen)

Nick Denis: I'm always super excited to talk about this project. It was a really crazy project for many different reasons.

(Saeid Molladavoudi is on screen with 2 interpreters. A slide labelled: “Conclusion” with a few bullet points is on screen.)

Saeid Molladavoudi: We developed the general framework to identify and predict vulnerable high-risk health regions during the spread and possible new waves of COVID-19.

(Andres Solis Montero is on screen with 2 interpreters. A slide labelled: “Scope” in on screen with the headlines: “Main goal” and “Data” with a few bullet points underneath each.)

Andres Solis Montero: The main goal of our project was to identify and predict health risks of becoming overwhelmed with COVID-19 infections.

(Sevgui Erman is on screen with 2 interpreters. A slide titled: “Data Science and Modern Methods Forum” can be seen.)

Sevgui Erman: We want to ensure that statistically sound methods are used, that quality and valid inference are promoted, that trustworthy insights are obtained from ethically sourced data and algorithms.

(Blair Drummond is on screen with 2 interpreters. A slide titled: “Advanced Analytics Workspace” is shown.)

Blair Drummond: By using the advanced analytics workspace and Kubeflow pipelines, we were able to do all of the experiments that were needed, for as long as we needed.

(Sevgui Erman is on screen with 2 interpreters.)

Sevgui Erman: The COVID-19 events changed the way work is conducted and have set different expectations in a new digital reality. Timeliness in support in response to a continuously changing economic and social situation is of more importance than ever.

(Sevgui Erman is on screen with 2 interpreters. A slide with the words: “Thank you!” can be seen.)

The upcoming sessions will bring other topics related to data science, such as natural language processing, image processing, modeling using complex techniques such as neural networks and more.

(Canada wordmark is on screen)