A detailed review of the education sector in Australia as in the data provided by the 2006 edition of the OECD's annual publication, 'Education at a Glance' is presented. While the data has shown that in almost all OECD countries educational attainment levels are on the rise, with countries showing impressive gains in university qualifications, it also reveals that a large of share of young people still do not complete secondary school, which remains a baseline for successful entry into the labour market.

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Education at a Glance

(1975). The Limits of Organization. Journal of Economic Issues: Vol. 9, No. 3, pp. 543-544.

The Limits of Organization

세계화가 과연 하나의 독립변수로 사용하기에 충분할 정도로 그 의미가 명확하게 규명된 과학적 개념인가의 여부는 학계의 지속적인 의문으로 남아 있다. 특히 최근에는 현저하게 드러나고 있는 각종 반세계화 현상을 바탕으로 세계화에 대한 반론이 거세지고 있으며 일부 세계화론 주창자들조차 ‘현실’로서 세계화 현상에 대한 회의적 시각을 표출하고 있어 그 의문은 더욱 커지고 있다. 이에 따라 세계화를 설명 변수로 삼는 모든 연구 영역에서 세계화의 의미와 세계화와 관련된 연구 성과를 반추해 볼 필요성도 커지고 있다. 본 연구의 목적은 세계화의 의미 분석을 바탕으로 세계화를 안보환경 변화의 독립변수로 삼는 연구의 동향을 분석하고 연구의 방향을 제시하는데 있다. 세계화는 그 설명적 가치와 규범적 판단을 둘러싸고 논란이 계속되고 있는 개념이다. 세계화는 세계화론자를 중심으로 발전되어 온 개념이지만 이들 사이에서도 개념에 대한 합의는 존재하지 않는다. 세계화는 가장 단순하게는 하나의 현상 혹은 사건으로 간주되기도 하지만, 세계화의 본질을 규명하려는 입장에서는 세계화의 원인과 영향에 대한 인과관계는 물론 사회관계 본질이나 권력관계 변화를 적시하는 개념으로 취급하여 왔다. 그러나 세계화를 개념화하려는 노력은 수많은 하부 현상을 단일 요소로 설명해야 하며, 역으로 개념 속에 혼재되어 있는 세계화의 원인, 결과, 설명 및 규범적 판단 요소를 단순화해야 한다는 과제를 안고 있다. 특히 원인과 결과가 혼재되어 있는 세계화 개념은 현상 분석을 위한 설명체제 구성에 가장 큰 장애요인이 되고 있다. 세계화와 안보와의 관계를 다루는 연구는 대체로 세계화에 관한 중도론적 입장에서 안보에 관한 낙관론을 피하고 새로운 위협을 제시하는데 초점을 맞추는데, 이러한 경향은 안보연구에서 세계화를 가장 단순한 수준에서 정의하는 데에서 비롯된다. 그러나 지나치게 단순한 세계화 개념을 적용하는 안보연구는 질적으로 새로운 현상인 세계화를 여전히 국가중심적 시각에서 다루고 모든 안보위협을 테러리즘의 문제로 축소하려는 환원주의의 문제를 야기한다. 이러한 문제를 극복하기 위해서는 세계화 개념의 불완전성을 염두에 둔 세계화 개념에 대한 접근과 일관된 세계화 개념 적용이 요구된다. 또한 세계화 현상으로부터 직접적인 안보 사안을 도출하는 노력에서 한 차원 더 나아가 안보연구의 새로운 방향을 제시해 줄 수 있는 안보환경 변화의 전체적 특성을 분석하는 포괄적 연구가 요구된다.

세계화(globalization)와 안보 연구

This paper presents a comprehensive overview of the literature on the types, effects, conditions and user of Open Government Data (OGD). The review analyses 101 academic studies about OGD which discuss at least one of the four factors of OGD utilization: the different types of utilization, the effects of utilization, the key conditions, and the different users. Our analysis shows that the majority of studies focus on the OGD provisions while assuming, but not empirically testing, various forms of utilization. The paper synthesizes the hypothesized relations in a multi-dimensional framework of OGD utilization. Based on the framework we suggest four future directions for research: 1) investigate the link between type of utilization and type of users (e.g. journalists, citizens) 2) investigate the link between type of user and type of effect (e.g. societal, economic and good governance benefits) 3) investigate the conditions that moderate OGD effects (e.g. policy, data quality) and 4) establishing a causal link between utilization and OGD outcomes.

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Utilization of open government data : A systematic literature review of types, conditions, effects and users

Given global uncertainty related to rapid technological developments and the world of work, alongside other equally (if not more) concerning social and political disruptions – the assurance of grad...

Graduate attributes for 2020 and beyond: recommendations for Australian higher education providers

The CSIRO’s ‘Tomorrow’s Digitally Enabled Workforce’ report is an important foundation for policy makers grappling with the future of work in Australia. The findings of the report underpin the work already being undertaken by the Department of Employment to address the impact of rapid technological development, new business and employment models, increasing globalisation and social change on employment and workplace relations.  The analysis of the megatrends outlined in ‘Tomorrow’s Digitally Enabled Workforce’ is a solid base for the development of future-focused strategies to enable people and organisations to take advantage of emerging opportunities – including promoting entrepreneurship, facilitating participation in the online economy, and encouraging the development of new business models. We are looking to policy settings that enable current and future generations of Australians to be well-positioned to support themselves and contribute to our economy and society. This report marks the beginning of an era of immense change in Australia. The future holds exciting opportunities for the way we work, consume and interact, and also poses some policy challenges. People who work in highly structured environments or who lack high level interpersonal skills may be particularly vulnerable to their jobs being automated. We need to get the policy settings right so that workers who lose their jobs due to automation have access to other streams of work.

Tomorrow’s Digitally Enabled Workforce: Megatrends and scenarios for jobs and employment in Australia over the coming twenty years.

Management flexibility, price uncertainty and the adoption of carbon forestry

The opportunity for improved decision making has been enhanced in recent years through the public availability of a wide variety of information. In Australia, government data is routinely made available and maintained in the http://data.gov.au repository. This is a single point of reference for data that can be reused for purposes beyond that originally considered by the data custodians. Similarly a wealth of citizen information is available from the Australian Bureau of Statistics. Combining this data allows informed decisions to be made through planning scenarios.

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Scenario Planning Case Studies Using Open Government Data

Longitudinal firm level data are used to examine the short-term impact of information and communications technology (ICT) investment and innovation on Australian businesses. ICT activity is found to be correlated with increased rates of innovation across all aspects of business. Firms which increase their ICT investment are also more likely to subsequently report increased productivity, though this effect does not appear to be causal. IT investment was most clearly associated with increased productivity and profitability in the manufacturing, construction and transport industry sector. The results suggest that the impact of ICT investment within a firm is mediated by broader innovations in business practice.

ICT Activity, Innovation and Productivity: An Analysis of Data From Australian Businesses

Irregularly measured time series are common in many of the applied settings in which time series modelling is a key statistical tool, including medicine. This provides challenges in model choice, often necessitating imputation or similar strategies. Continuous time autoregressive recurrent neural networks (CTRNNs) are a deep learning model that account for irregular observations through incorporating continuous evolution of the hidden states between observations. This is achieved using a neural ordinary differential equation (ODE) or neural flow layer. In this manuscript, we give an overview of these models, including the varying architectures that have been proposed to account for issues such as ongoing medical interventions. Further, we demonstrate the application of these models to probabilistic forecasting of blood glucose in a critical care setting using electronic medical record and simulated data. The experiments confirm that addition of a neural ODE or neural flow layer generally improves the performance of autoregressive recurrent neural networks in the irregular measurement setting. However, several CTRNN architecture are outperformed by an autoregressive gradient boosted tree model (Catboost), with only a long short-term memory (LSTM) and neural ODE based architecture (ODE-LSTM) achieving comparable performance on probabilistic forecasting metrics such as the continuous ranked probability score (ODE-LSTM: 0.118$\pm$0.001; Catboost: 0.118$\pm$0.001), ignorance score (0.152$\pm$0.008; 0.149$\pm$0.002) and interval score (175$\pm$1; 176$\pm$1).

Lachlan Rudd

Papers

Tomorrow’s Digitally Enabled Workforce: Megatrends and scenarios for jobs and employment in Australia over the coming twenty years.

Management flexibility, price uncertainty and the adoption of carbon forestry

Scenario Planning Case Studies Using Open Government Data

ICT Activity, Innovation and Productivity: An Analysis of Data From Australian Businesses

Continuous time recurrent neural networks: overview and application to forecasting blood glucose in the intensive care unit