Rewley House Lecture: Role of data science in the pandemic

This year I was invited to give the Rewley House Lecture, a multidisciplinary research talk open to all, at the Department for Continuing Education, where I am Director of Studies in Data Science.

I talked about how data science has been used during the COVID-19 pandemic, spanning vaccine design, clinical trials, surveillance and policy advice, and highlighting the identification of risk factors for disease.

If you like this talk, you might be interested in the following courses available this academic year:


Techniques for adding context to visualization

When it comes to meaningful visualization, context is everything. Richard Brath, at the 2018 Information+ Conference, looks back on historical visualization approaches and how they might be applied today to make data graphics easier to read and use.

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Quiet Observer

I’ve always been a quiet person who prefers to observe and slowly think things through. At Eyeo this year, I talked about how these tendencies led to FlowingData.

Be sure to check out the other talks. There’s a lot of inspiration and information to absorb.

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Using an audience’s own data to highlight both play and security

This is great. Daniel Goddemeyer and Dominikus Baur made Data Futures, which collects multiple choice answers from audience members and then allows the speaker to interact and visualize the results on stage, as well as highlight audience members.

I’m imagining this project restructured in a college statistics course with several hundred unwitting students. Seems like a great learning opportunity.

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Janelle Ayres talk at #UCDavis on host-microbe-microbiome interactions

Lauren McCarthy talk: You, Me and My Computer

Dancing in publicThis talk that Lauren McCarthy gave at Eyeo is good. McCarthy, an artist and programmer, describes her work with the uncomfortable pauses during dates, technology as a way to change behaviors, and surprising explorations of how people interact with each other.

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