Are We The One?

A collaborative, performative and relational experience for two people, woven together by a custom digital phone App. Two walkers, who have never met, simultaneously use a phone App to record a personalised walk around their locality, crafting a series of special moments and surprises for each other. The App then allows participants to continue their two walks, but now directed by what the other person has just created for them. Finally, at the end of the experience they can then choose whether they would like to actually meet in person. Based loosely on the idea of a date, each participant is initially asked to give a little bit of personal information, and then actually speak volumes about themselves through how they choose to care for their 'date's future experience. After walking in parallel universes, but never far away from each other, both daters can ultimately choose to then meet in person -- if what they have experienced tells them that maybe "We Are The One".

Reputation model based on rating data and application in recommender systems

This thesis introduced two novel reputation models to generate accurate item reputation scores using ratings data and the statistics of the dataset. It also presented an innovative method that incorporates reputation awareness in recommender systems by employing voting system methods to produce more accurate top-N item recommendations. Additionally, this thesis introduced a personalisation method for generating reputation scores based on users' interests, where a single item can have different reputation scores for different users. The personalised reputation scores are then used in the proposed reputation-aware recommender systems to enhance the recommendation quality.

How cancer doctors use personalized medicine to target variations unique to each tumour

The Children’s Cancer Institute in Sydney recently launched an ambitious program. From early next year, scientists will analyse the unique cancer cells of 12 children diagnosed with the most aggressive forms of the disease to find the best treatment for each child. By 2020, they aim to have these individualised treatment options available to all children diagnosed with cancers that have a less than 30% survival rate. This way of tailoring treatment to each person is known as personalised medicine, and advances in DNA sequencing have paved the way for a new era in cancer management.

Paper 1: The disruptive forces of the sharing economy

Overview: - The sharing economy unlocks a previously unused value of goods and labour, and causes disruption in established industries. - The pattern of disruption is similar regardless of the industry that's impacted. While the initial phases of disruption are transformational for many (e.g. lost jobs), often the industries end up stronger than before they were before the disruption. - Due to different in setting, upholding and enforcing standards, it is hard to assess the regulatory trade-offs. Safety, labour relations and social fairness are important factors to consider across the industry.