Understanding the impact of pre-experimental experience on recognition memory using people’s emails

by Michael Diamond, Courtney O’Brien, Hyungwook Yim and Simon Dennis Experience sampling methodologies are set to revolutionise psychological science, as these techniques overcome some of the major limitations of laboratory experiments. This blog post explains how we utilised experience sampling techniques in a memory experiment investigating the Word Frequency Effect in recognition memory. The Word […]

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Understanding eyewitness memory

In 1984, Ronald Cotton was convicted for rape and burglary. He was sentenced to life + 50 years. In 1995, he was released having served over 10 years in prison, when DNA evidence demonstrated that Booby Poole was guilty of the crime (Ronald Cotton, n.d.). The Innocence Project estimates that between 2% and 5% of […]

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Plotting in Private

Below are a set of examples of plotting in Private. I will update this post later with more explanation, but in the meantime these should provide some insight into how to construct plots. Note the Private plotting functions are based on the seaborn plotting library. Acknowledgement: The plotting functionality and examples have been developed by […]

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Manifold Privacy: A Practical Approach to Computational Privacy for Analysis Languages

Much of the research conducted in my lab relies on using sensors and other data streams generated by smartphones, online services and IoT devices to understand human memory. Naturally, people are protective of this data. We have developed a ecosystem that strives to collect data in ways that maximise the control people have over their […]

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Bayesian Inference with Private Data

In the last tutorial, we discussed how to estimate quantities using experience sampling data that may be sensitive and therefore private. This time we are going to talk about how to do Bayesian inference, that is, how to test hypotheses. We’ll start by considering inference in general and then explore an example using experience sampling […]

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