Telling the market story through organic information interaction design and broadcast media : submitted to the College of Creative Arts as requirement for the degree of Master of Design, Massey University, Wellington, New Zealand, 2007

Interaction Design, which is essentially story-creating and telling, is at once both and ancient art and a new technology. Media have always effected the telling of stories and the creation of experiences. (Shedroff, N., 1994, p. 2) Advances with visual representations within broadcast design have been applied to areas such as weather simulations, sporting events, and historical reconstruction's. However, financial market information presentation is fairly uniform in television news broadcasting, showing little progression in pace with other news information catego­ries. While stock market news segments make limited use of supporting graphics, addi­ tional information that may assist the viewer is filtered out, effecting viewers interest, understanding and decision making process often associated with market related stories. Research to date has been limited to single visualisations. There has been little re­search into the use of multiple information views that are composed to support news presentations. People use many different information sources on a daily basis. News sources are used to stay informed about events, to some sources, viewer evaluation of informa­tion is a part of that process. News information and other data commodity sources are now more accessible, allowing designers to look at ways of transforming them into new or improved information services. This research explores the display of stock market information by looking at ap­propriate media delivery methods combined with Organic Information Interaction Design to enhance information relationships. Organic Design and Information Inter­action Design 1 principles are combined. This denotes a 'living' relationship between elements, incorporating hierarchy principles with enhanced information delivery and user experiences. Four themes are tied together through the use of a conceptual prototype. [FROM INTRO

Safeguarding development aid against climate change: evaluating progress and identifying best practice

Official development assistance currently totals around US$130 billion per year, an order of magnitude greater than international climate finance. To safeguard development progress and secure the long-term effectiveness of these investments, projects must be designed to be resilient to climate change. This article reviews 250 projects for three countries from two development organisations and finds that between 2% and 30% of these may require action now to "future-proof" investments and policies. Both organisations show improvements in the recognition of climate change in projects, but many projects are still not future-proof

Duality of Bures and Shape Distances with Implications for Comparing Neural Representations

A multitude of (dis)similarity measures between neural network representations have been proposed, resulting in a fragmented research landscape. Most of these measures fall into one of two categories. First, measures such as linear regression, canonical correlations analysis (CCA), and shape distances, all learn explicit mappings between neural units to quantify similarity while accounting for expected invariances. Second, measures such as representational similarity analysis (RSA), centered kernel alignment (CKA), and normalized Bures similarity (NBS) all quantify similarity in summary statistics, such as stimulus-by-stimulus kernel matrices, which are already invariant to expected symmetries. Here, we take steps towards unifying these two broad categories of methods by observing that the cosine of the Riemannian shape distance (from category 1) is equal to NBS (from category 2). We explore how this connection leads to new interpretations of shape distances and NBS, and draw contrasts of these measures with CKA, a popular similarity measure in the deep learning literature

NO2molecular frame photoelectron angular distributions for a range of geometries using the R-matrix method

We present R-matrix calculations of photoionization from NO2, resolved in energy, angle, and both neutral and ionic state, for a range of molecular geometries, including in the vicinity of the 2A1/2B2 conical intersection