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    Unlocking the workforce

    Marianne Freiberger

    How can we all get back to work safely in the face of a lingering pandemic? To answer this question we need hard science about the virus and its transmission. But we also need people who can solve tricky organisational problems, logically think through possible scenarios, and keep track of the limitations of proposed solutions. In other words, we need mathematicians.

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    How can we get back to work safely in the face of a lingering pandemic? Mathematicians have issued some guidelines for policy makers and employes.

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    The agent perspective

    How do we learn and understand the world? What separates us from machines? Yoshua Bengio believes it all comes down to our agency.
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    Building meaning: dog or ostrich

    How do we build our models of the world? Yoshua Bengio explains how deep learning will help machines act to understand the world in a similar way.
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    Understanding information

    Information is supremely powerful, yet it can't be described by traditional physics. Constructor theory provides a potential answer.
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    Is life unbounded?

    Acknowledging that life is going to go on for a little while yet throws a different light on how we make decisions in a crisis.
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    The growth rate of COVID-19

    We all now know about R, but sometimes it can be good to consider another number: the growth rate of an epidemic.
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    The maths behind combining R ratios

    In a previous article we introduced the problems that can arise when combine the reproduction ratios of a disease in different settings, such as hospitals and the community. In this article we dive into the maths that helps you get to the bottom of these problems.