Webinar: Making sense of a COVID-19 world: applying collective intelligence to big data (3rd of June)

Heads up, @krystof and @Michal: I am going to ask you what you can do, with your data, to validate results 1-4 from the surveillance pandemic event. You can find them here. They are intentionally stated as statements, that lend themselves to falsification. Could give some thought about how to query the dataset so that the response will have something to say about one, or more, of the four results?

Feel free to ping me if you want to discuss this.

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