The politics of media policy [Review]

"The Politics of Media Policy opens with a highly insightful analysis of how to do media policy studies in original and significant ways. Unfortunately, by anchoring its empirical analysis closely to a desire to expose the hidden machinations of neo-liberal ideology, it loses focus the more that it moves out of the dominant terrain of political economy in the study of media ownership. Des Freedman has pointed to important new directions in media policy studies, but has unfortunately only got half way to developing a new synthesis for understanding the relationship between policy institutions and broader ideas." -- from author's personal website

Pedunculopontine nucleus deep brain stimulation produces sustained improvement in primary progressive freezing of gait

Objective: To assess the efficacy of bilateral pedunculopontine nucleus (PPN) deep brain stimulation (DBS) as a treatment for primary progressive freezing of gait (PPFG). ------ ----- Methods: A patient with PPFG underwent bilateral PPN-DBS and was followed clinically for over 14 months. ------ ----- Results: The PPFG patient exhibited a robust improvement in gait and posture following PPN-DBS. When PPN stimulation was deactivated, postural stability and gait skills declined to pre-DBS levels, and fluoro-2-deoxy-d-glucose positron emission tomography revealed hypoactive cerebellar and brainstem regions, which significantly normalised when PPN stimulation was reactivated. ------ ----- Conclusions: This case demonstrates that the advantages of PPN-DBS may not be limited to addressing freezing of gait (FOG) in idiopathic Parkinson's disease. The PPN may also be an effective DBS target to address other forms of central gait failure.

Copyright future copyright freedom

If copyright law does not liberate us from restrictions on the dissemination of knowledge, if it does not encourage expressive freedom, what is its purpose? This volume offers the thinking and suggestions of some of the finest minds grappling with the future of copyright regulation. The Copyright Future Copyright Freedom conference held in 2009 at Old Parliament House Canberra brought together Lawrence Lessig, Julie Cohen, Leslie Zines, Adrian Sterling, Sam Ricketson, Graham Greenleaf, Anne Fitzgerald, Susy Frankel, John Gilchrist, Michael Kirby and others to share the rich fruits of their experience and analysis. Zines, Sterling and Gilchrist outline their roles in the genesis and early growth of Australian copyright legislation, enriching the knowledge of anyone asking urgent questions about the future of information regulation.

Culture and creative industries in Australia

This paper draws upon the Australian case to argue that the case for support for cultural production and cultural infrastructure has been strengthened overall by its alignment to economic policy goals. In this respect, the rise of creative industries policy discourses is consistent with trends in thinking about cultural policy that have their roots in the Creative Nation strategies of the early 1990s. In terms of the earlier discussion, cultural policy is as much driven by Schumpeterian principals as it is by Keynesian ones. Such an approach is not without attendant risks, and two stand out. The first is the risk of marginalizing the arts, through a policy framework that gives priority to developing the digital content industries, and viewing the creative industries as primarily an innovation platform. The second is that other trends in the economy, such as the strong Australian dollar resulting from the mining boom, undercuts the development of cultural production in the sections of the creative industries where international trade and investment is most significant, such as the film industry and computer games. Nonetheless, after over a decade of vibrant debate, this focus on linking the cultural and economic policy goals of the creative industries has come to be consistent with broader international trends in the field.

Is journalism best located in the creative arts or as a communication discipline?

This paper considers the implications of journalism research being located within the Field of Research associated with the creative arts and writing in the recent Excellence in Research for Australia (ERA) evaluations. While noting that this classification does capture a significant trajectory in Australian journalism research, it also points to some anomalous implications of understanding journalism as an arts discipline, given its historical co-location in universities with communications disciplines, and the mutually reinforcing relationships between the two fields.

Controlling chaos? The value and the challenges of applying complexity theory to project management

The literature abounds with descriptions of failures in high-profile projects and a range of initiatives has been generated to enhance project management practice (e.g., Morris, 2006). Estimating from our own research, there are scores of other project failures that are unrecorded. Many of these failures can be explained using existing project management theory; poor risk management, inaccurate estimating, cultures of optimism dominating decision making, stakeholder mismanagement, inadequate timeframes, and so on. Nevertheless, in spite of extensive discussion and analysis of failures and attention to the presumed causes of failure, projects continue to fail in unexpected ways. In the 1990s, three U.S. state departments of motor vehicles (DMV) cancelled major projects due to time and cost overruns and inability to meet project goals (IT-Cortex, 2010). The California DMV failed to revitalize their drivers’ license and registration application process after spending $45 million. The Oregon DMV cancelled their five year, $50 million project to automate their manual, paper-based operation after three years when the estimates grew to $123 million; its duration stretched to eight years or more and the prototype was a complete failure. In 1997, the Washington state DMV cancelled their license application mitigation project because it would have been too big and obsolete by the time it was estimated to be finished. There are countless similar examples of projects that have been abandoned or that have not delivered the requirements.

Older Australians and the Internet

In late 2009, Sandra Haukka secured funding from the auDA Foundation to explore what older Australians who never or rarely use the Internet (referred to as ‘non-users’) know about the types of online products and services available to them, and how they might use these products and services to improve their daily life. This project aims to support current and future strategies and initiatives by: 1) exploring the extent to which non-users are aware of the types and benefits of online products and services, (such as e-shopping, e-banking, e-health, social networking, and general browsing and research) as well as their interest in them b) identifying how the Internet can improve the daily life of older Australians c) reviewing the effectiveness of support and services designed to educate and encourage older people to engage with the Internet d) recommending strategies that aim to raise non-user awareness of current and emerging online products and services, and provide non-users with the skills and knowledge needed to use those products and services that they believe can improve their daily life. The Productive Ageing Centre at National Seniors Australia, and Professor Trevor Barr from Swinburne University provided the project with in-kind support.

Exponentiated gradient algorithms for conditional random fields and max-margin Markov Networks

Log-linear and maximum-margin models are two commonly-used methods in supervised machine learning, and are frequently used in structured prediction problems. Efficient learning of parameters in these models is therefore an important problem, and becomes a key factor when learning from very large data sets. This paper describes exponentiated gradient (EG) algorithms for training such models, where EG updates are applied to the convex dual of either the log-linear or max-margin objective function; the dual in both the log-linear and max-margin cases corresponds to minimizing a convex function with simplex constraints. We study both batch and online variants of the algorithm, and provide rates of convergence for both cases. In the max-margin case, O(1/ε) EG updates are required to reach a given accuracy ε in the dual; in contrast, for log-linear models only O(log(1/ε)) updates are required. For both the max-margin and log-linear cases, our bounds suggest that the online EG algorithm requires a factor of n less computation to reach a desired accuracy than the batch EG algorithm, where n is the number of training examples. Our experiments confirm that the online algorithms are much faster than the batch algorithms in practice. We describe how the EG updates factor in a convenient way for structured prediction problems, allowing the algorithms to be efficiently applied to problems such as sequence learning or natural language parsing. We perform extensive evaluation of the algorithms, comparing them to L-BFGS and stochastic gradient descent for log-linear models, and to SVM-Struct for max-margin models. The algorithms are applied to a multi-class problem as well as to a more complex large-scale parsing task. In all these settings, the EG algorithms presented here outperform the other methods.