Governments’ Handling of COVID App Data

I was able to contribute to this article from FST Media: Exposing the fault lines in governments’ handling of Covid app data. I talked about the need for citizens to have trust in the collection and use of data, lest lack of trust undermine the utility of the data.

If the risks aren’t properly managed, the end result is harm to citizens through the direct release of data or degraded performance of contact tracing and the impact on public health.

Why the Australian COVIDSafe App Failed

It was a pleasure to collaborate with some of my colleagues on this article in The Australian newspaper, which I was able to put my name to. The article is titled Why the COVIDSafe App Failed, and may need a subscription to access.

The tl;dr

The COVIDSafe experience has been an education and if one thing is clear, it is that if we are going to pin all our hopes on a piece of public health technology, it must be built on sound health evidence and a solid platform of trust for it to have any real value in protecting the communities it serves.

Data Visualisation Podcast

It was fun to join the ThoughtWorks Tech Podcast again, with Zhamak Dehghani, Alexey Boas, and Ned Letcher, this time to talk about Getting to grips with data visualization.

A vast array of powerful data visualization tools are gaining traction in enterprises looking to make sense of their data sets, for instance D3, Bokeh, Shiny and Dash. In this episode, our team explores to concept of data visualization as part of a complete digital experience, with the workflows and journeys of a wide variety of users.

ThoughtWorks Technology Podcasts

Applying Software Engineering Practices to Data Science

I had fun recording this podcast on Applying Software Engineering Practices to Data Science with Zhamak Dehghani, Mike Mason and Danilo Sato.

The need for high quality information at speed has never been greater thanks to competition and the impact of the global pandemic. Here, our podcast team explores how data science is helping the enterprise respond: What new tools and techniques show promise? When does bias become a problem in data sets? What can DevOps teach data scientists about how to work?

ThoughtWorks Technology Podcasts