GA Conference 2018 - Post #6 - Hannah Fry Keynote lecture

This was on the Saturday of the conference, and was very slickly presented.
Hannah was presenting some outcomes of her work on mathematics and data and how they reveal patterns.
A Google trends section was interesting, where she talked about errors in typing the word Google was Googlw, which are common in many countries, but not in those where the 'w' key is not next the 'e' on the keyboard...
She also shared work of Oliver O'Brien on London's bike share schemes.

Work of Joan Serras here was also shown. Not seen this before and it's really nice...
Public Transport flows, London from Joan Serras on Vimeo.
Detail of Greater London, which features the UK’s most dense and complex multimodal networks. Individual vehicles are more obvious in this animation due to the smaller size of the area as compared to the previous one. It is interesting to visualise the bus network transition from night to day, the steady ‘pulse’ of the tube network throughout its service and the Stansted-Heathrow-Gatwick connection defined by the coach network.
This movie has been generated using OpenGL. Vehicle trajectories in the animation use straight lines between stops. Waiting time in a public transport stop is defined in the dataset and so is also taken into account in the animation. Air travel data in the dataset is only available for Scotland.
The Simulacra team and particularly Duncan Smith have given very valuable advice to improve all visualisations.

Hannah also moved on to crime geographies.
This is something which used to be part of the modules that we taught back in the day, but plenty more data now on curves of crime locations, and analysis of Harold Shipman's victims.
Final stage was about a BBC programme on Pandemics she's been involved with, and some interesting maps and visualisations of the spread of disease.

Pandemic - app can be added to the mobile phone. This related to a programme which was shown on BBC4, and can be watched on iPlayer for another couple of weeks.

She reminded us that in any visualisation like this, that all of the dots are also people, with their individual stories.
She moved on to the interventions which the data helps to develop within the population to learn from this pandemic spread, and the role of 'super-spreaders'. It takes a lot of time for vaccines to be developed, but a small amount of vaccine could be  and give that to those people in a targeted way.

A slick and entertaining lecture, which was well received by those who were present.