Copyright and creativity: An ongoing debate in the creative industries

This paper critically analyzes the divergent perspectives on how copyright and intellectual property laws impact creativity, innovation, and the creative industries. One perspective defines the creative industries based on copyright as the means by which revenues are generated from innovation and the dissemination of new ideas. At the same time, it has been argued that copyright and intellectual property regimes fetter creativity and innovation, and that this has become even more marked in the context of digital media convergence and the networked global creative economy. These issues have resonated in debates around the creative industries, particularly since the initial DCMS mapping study in the UK in 1998 defined creative industries as combining individual creativity and exploitable forms of intellectual property. The issue of competing claims for the relationship between copyright and the creative industries has also arisen in Australia, with a report by the Australian Law Reform Commission entitled Copyright and the Digital Economy. This paper will consider the competing claims surrounding copyright and the creative industries, and the implications for policy-makers internationally.

Aspect-based opinion mining from product reviews using conditional random fields

Product reviews are the foremost source of information for customers and manufacturers to help them make appropriate purchasing and production decisions. Natural language data is typically very sparse; the most common words are those that do not carry a lot of semantic content, and occurrences of any particular content-bearing word are rare, while co-occurrences of these words are rarer. Mining product aspects, along with corresponding opinions, is essential for Aspect-Based Opinion Mining (ABOM) as a result of the e-commerce revolution. Therefore, the need for automatic mining of reviews has reached a peak. In this work, we deal with ABOM as sequence labelling problem and propose a supervised extraction method to identify product aspects and corresponding opinions. We use Conditional Random Fields (CRFs) to solve the extraction problem and propose a feature function to enhance accuracy. The proposed method is evaluated using two different datasets. We also evaluate the effectiveness of feature function and the optimisation through multiple experiments.

Translating road safety research on night-time visibility to the context of mining

In recent years a significant amount of research has been undertaken in collision avoidance and personnel location technology in order to reduce the number of incidents involving pedestrians and mobile plant equipment which are a high risk in underground coal mines. Improving the visibility of pedestrians to drivers would potentially reduce the likelihood of these incidents. In the road safety context, a variety of approaches have been used to make pedestrians more conspicuous to drivers at night (including vehicle and roadway lighting technologies and night vision enhancement systems). However, emerging research from our group and others has demonstrated that clothing incorporating retroreflective markers on the movable joints as well as the torso can provide highly significant improvements in pedestrian visibility in reduced illumination. Importantly, retroreflective markers are most effective when positioned on the moveable joints creating a sensation of “biological motion”. Based only on the motion of points on the moveable joints of an otherwise invisible body, observers can quickly recognize a walking human form, and even correctly judge characteristics such as gender and weight. An important and as yet unexplored question is whether the benefits of these retroreflective clothing configurations translate to the context of mining where workers are operating under low light conditions. Given that the benefits of biomotion clothing are effective for both young and older drivers, as well as those with various eye conditions common in those >50 years reinforces their potential application in the mining industry which employs many workers in this age bracket. This paper will summarise the visibility benefits of retroreflective markers in a biomotion configuration for the mining industry, highlighting that this form of clothing has the potential to be an affordable and convenient way to provide a sizeable safety benefit. It does not involve modifications to vehicles, drivers, or infrastructure. Instead, adding biomotion markings to standard retroreflective vests can enhance the night-time conspicuity of mining workers by capitalising on perceptual capabilities that have already been well documented.

Welcome to Media Industries

An introduction to the journal, its goals, mission, and vision.

Public Policy for the Creative Industries

The cultural and creative industries are closely intertwined with government. This chapter reviews key economic rationales for public policy interventions for the arts, cultural and creative industries. Market failure justifications depend on the status of arts and culture as non-rival public goods, as ‘merit goods’, or the need to moderate the effects of up-front investment costs or monopoly, and the inherent uncertainty of creative production. ‘Systems failure’ too is a regular rationale for policy intervention. Using the United Kingdom as an example, the chapter shows how emphasis on these rationales has shifted over the last three decades, first in the context of industrial policies for traditional aims such as exports and job growth, which have been joined in recent years by the need for investment in intangibles, knowledge exchange, and spillover effects in the wider economy.

New graph-based algorithms to efficiently solve large scale open pit mining optimisation problems

In the mining optimisation literature, most researchers focused on two strategic-level and tactical-level open-pit mine optimisation problems, which are respectively termed ultimate pit limit (UPIT) or constrained pit limit (CPIT). However, many researchers indicate that the substantial numbers of variables and constraints in real-world instances (e.g., with 50-1000 thousand blocks) make the CPIT’s mixed integer programming (MIP) model intractable for use. Thus, it becomes a considerable challenge to solve the large scale CPIT instances without relying on exact MIP optimiser as well as the complicated MIP relaxation/decomposition methods. To take this challenge, two new graph-based algorithms based on network flow graph and conjunctive graph theory are developed by taking advantage of problem properties. The performance of our proposed algorithms is validated by testing recent large scale benchmark UPIT and CPIT instances’ datasets of MineLib in 2013. In comparison to best known results from MineLib, it is shown that the proposed algorithms outperform other CPIT solution approaches existing in the literature. The proposed graph-based algorithms leads to a more competent mine scheduling optimisation expert system because the third-party MIP optimiser is no longer indispensable and random neighbourhood search is not necessary.

The Trans-Pacific Partnership: Copyright Law, the Creative Industries, and Internet Freedom

The Trans-Pacific Partnership (TPP) is a highly secretive trade agreement being negotiated between the US and eleven Pacific Rim countries, including Australia. Having obtained a fast-track authority from the United States Congress, US President Barack Obama is keen to finalise the deal. However, he was unable to achieve a resolution of the deal at recent talks in Hawaii on the TPP. A number of chapters of the TPP will affect the creative artists, cultural industries and internet freedom — including the intellectual property chapter, the investment chapter, and the electronic commerce chapter. Legacy copyright industries have pushed for longer and stronger copyright protection throughout the Pacific Rim. In the wake of the Hawaii talks, Knowledge Ecology International leaked the latest version of the intellectual property chapter of the TPP. Jamie Love of Knowledge Ecology International commented upon the leaked text about copyright law: ‘In many sections of the text, the TPP would change global norms, restrict access to knowledge, create significant financial risks for persons using and sharing information, and, in some cases, impose new costs on persons producing new knowledge goods.’ The recent leaked text reveals a philosophical debate about the nature of intellectual property law. There are mixed messages in respect of the treatment of the public domain under copyright law. In one part of the agreement on internet service providers, there is text that says that the parties recognise the need for ‘promoting innovation and creativity,’ ‘facilitating the diffusion of information, knowledge, technology, culture, and the arts’, and ‘foster competition and open and efficient markets.’ A number of countries suggested ‘acknowledging the importance of the public domain.’ The United States and Japan opposed the recognition of the public domain in this text.

The hidden injuries of mining: Frontier cultural conflict

This chapter addresses a topic of growing significance to green criminology - the harmful effects of mining on local communities and the environment (Ruggiero and South 2013; White 2013a). While mining has long been recognised as an agent of environmental harm (White 2013a), less recognised is that its global expansion also has harmful effects on localised patterns of violence, work and community life in mining towns. Australia provides an excellent case study for exploring some of these mining impacts.

A process mining-based investigation of adverse events in care processes

This paper proposes the Clinical Pathway Analysis Method (CPAM) approach that enables the extraction of valuable organisational and medical information on past clinical pathway executions from the event logs of healthcare information systems. The method deals with the complexity of real-world clinical pathways by introducing a perspective-based segmentation of the date-stamped event log. CPAM enables the clinical pathway analyst to effectively and efficiently acquire a profound insight into the clinical pathways. By comparing the specific medical conditions of patients with the factors used for characterising the different clinical pathway variants, the medical expert can identify the best therapeutic option. Process mining-based analytics enables the acquisition of valuable insights into clinical pathways, based on the complete audit traces of previous clinical pathway instances. Additionally, the methodology is suited to assess guideline compliance and analyse adverse events. Finally, the methodology provides support for eliciting tacit knowledge and providing treatment selection assistance.

A data mining approach for fault diagnosis: An application of anomaly detection algorithm

Rolling-element bearing failures are the most frequent problems in rotating machinery, which can be catastrophic and cause major downtime. Hence, providing advance failure warning and precise fault detection in such components are pivotal and cost-effective. The vast majority of past research has focused on signal processing and spectral analysis for fault diagnostics in rotating components. In this study, a data mining approach using a machine learning technique called anomaly detection (AD) is presented. This method employs classification techniques to discriminate between defect examples. Two features, kurtosis and Non-Gaussianity Score (NGS), are extracted to develop anomaly detection algorithms. The performance of the developed algorithms was examined through real data from a test to failure bearing. Finally, the application of anomaly detection is compared with one of the popular methods called Support Vector Machine (SVM) to investigate the sensitivity and accuracy of this approach and its ability to detect the anomalies in early stages.

Introduction to "International Perspectives on Business Innovation and Disruption in the Creative Industries Film, Video and Photography"

The creative industries are particularly fecund empirical fields for investigating the processes of business innovation and disruption. The creative industries are some of the fastest growing sectors in many economies (European Commission, 2001; OECD, 2006; United States Census Bureau, 2010) and thus are worthy of study in their own right. Additionally, the study of the creative industries affords insights into how we understand the current economic transformation towards knowledge- based economies more broadly. The transformation toward knowledge- based economies has been foreshadowed by the transformation of creative industries such as publishing, film, video, photography, music and so on...

Narrative as a tool for critical reflective practice in the creative industries

This paper explores the efficacy of narrative in reflective practice across a range of creative disciplines. As practitioners within the creative industries the authors internalise experience and re-contextualise it as stories, designs, music videos, fiction and non-fiction films and dance. They are uniquely placed to examine narrative in critical reflection through the prism of their creative practice and in so doing offer insights into reconceptualising professional practice. The authors demonstrate how engagement with and reflection on and in their stories enables wider reflection. Their purpose in reflection is not just to learn from mistakes but to develop an epistemology of practice that enables them to apply rigorous academic inquiry to articulate their tacit professional knowledge and establish new methods for dealing with uncertainty in creative practice research.

Corporate Social Responsibility Assurance: Theory, Regulations and Practice in China

This chapter aims to provide a comprehensive understanding of the theory, regulations and practice of corporate social responsibility (CSR) assurance in China. Built on stakeholder and related theories, it employs a demand-and-supply analytical framework to illustrate the development and current status of China’s CSR assurance market. It finds that government agencies, stock exchanges, accounting standard setters and industrial associations have collectively shaped the current regulatory framework on CSR reporting and assurance in China. Regarding demand, differences in the social and legal environments across such a large country influence the regional development of CSR assurance. Industries under intensive CSR regulations and/or social reporting pressure—for example, the finance, aviation and mining industries—more actively achieve CSR report assurance. Regarding supply, the CSR assurance market in China is shared by accounting firms and professional certification bodies. Different assurance standards adopted by the two streams of assurance providers have different foci, potentially leading to different assurance coverage and emphases.

You're hot, then you're cold: Creative industries policy making in Australia

Much compelling evidence has emerged over the last two decades demonstrating the importance of Australia’s creative industries. In 2014, the Australian Bureau of Statistics confirmed that culture is ‘big business’ in this country. Yet despite this, interest by policy makers at all levels of government has been intermittent, at best. This chapter gives a brief history of policy development, and offers a number of reasons for why policy and politics have not focussed more resolutely on Australia’s creative economy. It finishes with a discussion of Australia’s ‘unfinished agenda’, one which demands attention not only by government, but also industry and higher education, if we are to properly meet both the challenges and opportunities before us.