How sensor data gets smart
Talk delivered at The Things Conference. Discussing the good, the bad, the ugly and the beautiful ways in which data traces from digitised physical interactions can be converted into actionable insights…
Digitally sensing people-place interactions
Introducing recent research and development in urban cognitive analytics to sense population dynamics and people-place interactions
Do not trust cognitive algorithms
Algorithms based on training data will incorporate any biases in that training data, including not accounting for the missing data
Forecasting the 2017 UK general election
Demonstrating a data-driven model to forecast election behaviour, reallocating votes between parties per constituency seat
Computer Vision Accuracy
As the accuracy and range of image detection increases, so will it’s uses. How good are computers at detecting faces, facial attributes and emotions…?
Visualising the Deprivation Index
Exploring the index of deprivation that ranks all local authorities in England using multiple deprivation factors including income, employment, health, education, crime and living environment. Read More
Killer Headlines
Is eating meat really as dangerous as smoking… Did somebody use lions to test this hypothesis?
The uncertainty of data
The biggest risk with relying on data is not its accuracy but treating something to be certain when it may be anything but… Read More
The inaccuracy of data
The bigger the pot of data, the more likely that inaccuracies will creep in to the analysis. The consequences depend on what happens next…
Will Clutter help declutter?
Can we (yet) rely on computer algorithms and machine-learning to make sense of that most unpredictable substance in the universe – human behaviour?
Joining Dots 