Featured

Welcome

My name is Simon Dennis and I am a husband, a father, a mentor and friend. I am also the Director of the Complex Human Data Hub within the Melbourne School of Psychological Sciences and CEO of Unforgettable Research Services. The Complex Human Data Hub‘s primary aim is to develop Computational Behavioural Science – bringing […]

Read More Welcome

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 […]

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

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 […]

Read More Bayesian Inference with Private Data

The Design of Private: A Privacy Preserving Probabilistic Language

Increasingly, the human sciences are employing big dense data sets to better characterize biological, psychological and social processes. The models required to capture these processes are becoming sophisticated and compute intensive requiring clusters and distributed data stores to realize. Rather than focus on the development of the models and the interpretation of results, researchers must […]

Read More The Design of Private: A Privacy Preserving Probabilistic Language