Documents
concept report
snip:
It is within this seemingly innocuous context that privacy has become an area of concern to the public and academics alike. The implications of expanding internet-based technologies for privacy and its impact on traditional legal, political and cultural assumptions is the central problem of my thesis.
pdf document 109kb
sketch Essay
snip:
A key element in this scenario are the IoT beacons which are unique not only in their technical capabilities but in allowing "themselves to vanish into the background" (Weiser 94). These hidden beacons and their associated networked processing systems are designed to perform so that together "they can anticipate human needs based on information collected about their context" (International Telecommunications Union 21).
pdf document 107kb
precursor 1
snip:
My honours research relates to the intersection of human and machine, specifically the idea of representation of identity in a transmediated world and privacy in an environment of pervasive computing that utilises wireless sensor networks and neural-net, machine-based learning algorithms that are intended to classify, predict and encourage types of human behaviour.
pdf document 25kb
precursor 2 - final
snip:
As a member of XO Lab I have been encouraged to investigate some of the more abstract ideas around the concept of human and machine interaction, including questions of human agency, identity and privacy.
pdf document 212kb
exemplar
snip:
Karen Levy's article Relational Big Data, published in the Stanford Law Review Online, attempts to clarify definitions and relationships in some of the key concepts central to my research. Levy uses a legal and policy framework as the basis of a definition of big data: "data is big because of the depth to which it has come to pervade our personal connections"(Levy 74) and the "relational is who is doing the collection" (74).
pdf document 108kb