I'm so honoured to be speaking with the Canadian House of Commons at the invitation of the House standing committee. I prepared a PowerPoint slide, and I was just informed that it was not possible to share my screen at the moment. I will just rely on perhaps some of the talking points rather than a number of visualizations that I thought may be more informative to this committee.
I will just use the slides as my talking points. As a background, I titled my remarks “nudging data and science-based exit policy”. I'm going to talk about partnership lessons from the crucible of the pandemic crisis, and that is the theme of my remarks today.
What do I mean by this title to begin with? Since the crisis that Canadians, Koreans and people across the globe are facing at the same time, I consider that this is a crucible because this is the trial that we can bear with and we can learn lessons from. Korea and Canada have crafted a very good partnership since last March. I'm going to talk about some of those partnership lessons that we have learned from it.
The partnership is based on data and science, and those are the main points that I'm going to talk about. Why science-based policy-making? This is very important. I think the best practice that I consider critical policy-making.... In today's 21st century, we need to have evidence and data for the science to inform our policy-making that includes this COVID-19 health policy-making that we all consider very important.
I'm going to make three points in this short presentation. The first point is about the data and science-based best practices to flatten the epidemic curve. Second, I'm going to talk about other sorts of innovation and the future that we need to plan in the post-corona period. Last I'm going to talk about the partnership ideas that I can suggest between Canada and Korea to deal with this coronavirus, but also I think there's some additional collaboration that we can partake in together.
In March, as I just briefly mentioned, the Statistics Research Institute and the University of Toronto, especially David Fisman's research team, worked together to model and then predict the life-course of this COVID-19, especially in Korea. In this [Technical difficulty—Editor] time, very critical to 51 million people in Korea back in February and in March. As director-general of the Statistics Research Institute, I've already been informing the good ground of a lot of good people to work together. We needed the scholars and then the models to work together.
David Fisman was very generous and very willing about the request that I proposed. We worked to get better, to model and then predict the life-course of this COVID-19.
In the past several months, we've been working together to plan a lot of these details about what the high point of—