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In the complex and interconnected post 9/11 world the roles and functions of intelligence have evolved beyond being a secret capability of governments focused on national security needs. Intelligence has become recognised as a critical function necessary to support decision making across the full breadth of government and corporate activity. The concept of an intelligence community being purely national security centric and bounded by secrecy has become limited. Intelligence in support of decision making has become a far broader domain than previously believed. This paper investigates the degree of intelligence embedded‐ness across government agencies and departments at the federal, state and local levels. Findings reveal that in excess of 75 discrete intelligence capabilities were identified, categorized by theme before being stratified into a three tier hierarchal intelligence domain map. Many of these categories were not in support of national security per se, but rather in support of broader government decision making.

The construct of cultural intelligence, recently introduced to the management literature, has enormous potential in helping to explain effectiveness in cross cultural interactions. However, at present, no generally accepted definition or operationalization of this nascent construct exists. In this article, we develop a conceptualization of cultural intelligence that addresses a number of important limitations of previous definitions. We present a concise definition of cultural intelligence as a system of interacting abilities, describe how these elements interact to produce culturally intelligent behavior, and then identify measurement implications.

The idealisation of rural work, people, and communities is remarkably persistent in Western countries. With the diminishing role of agriculture in national economies and changing values, this agrarian sentiment could be expected to lose currency. Yet, agrarian tropes and narratives remain evident in popular culture, political discourse, and public policy. Flinn and Johnson, in the 1970s, pioneered empirical studies of agrarianism based on a regionally specific and relatively small sample from which they identified five tenets of agrarianism. We sought to develop a survey instrument to explore whether changes in societal values, and in the structures and practices of agriculture, mean these tenets no longer hold. We find that, overall, many of the key elements identified by Flinn and Johnson are still evident. In addition, we have identified three domains of agrarianism: foundationalism, ruralism, and stewardship, that represent some of the historical diversity of agrarian themes and some accommodation with environmentalism.

As Melissa Conley-Tyler and Benjamin Day have noted, 'statecraft' is increasingly the term of art when it comes to Australian policymaking—and, as Will Leben has observed, a welcome one. The increasing focus on statecraft in ...

This book traces the history of Australia's highly secret Intelligence Security Organisation. Established in the early days of the Cold War, like most intelligence organisations working under covert conditions, it exceeded the vague powers entrusted to it. It has been the subject of two Royal Commissions in Australia and in recent times several acts of Parliament have been passed in order to make it more accountable to Australia's government and its citizens.

The events in East Timor leading up to & immediately following the vote for independence from Indonesia in Sept 1999, & the attendant breach in Australian-Indonesian relations, posed the greatest challenge to the Australian intelligence agencies & the national security policy-making organization in more than a quarter of a century. On the whole, the intelligence agencies performed very well, producing timely, accurate, & informative reports, with the important exception being the under-estimation of the scale of the killings & forced deportations in the fortnight after 4 Sept 1999. However, there were serious deficiencies in the national security policy-making organization, & elements of the intelligence community succumbed to political pressures when the government found some of the intelligence about Indonesian involvement in planning & directing the violence to be unpalatable. 50 References. Adapted from the source document.

This book traces the history of Australia's highly secret Intelligence Security Organisation. Established in the early days of the Cold War, like most intelligence organisations working under covert conditions, it exceeded the vague powers entrusted to it. It has been the subject of two Royal Commissions in Australia and in recent times several acts of Parliament have been passed in order to make it more accountable to Australia's government and its citizens

Cybercrime is a major concern for corporations, business owners, governments and citizens, and it continues to grow in spite of increasing investments in security and fraud prevention. The main challenges in this research field are: being able to detect unknown attacks, and reducing the false positive ratio. The aim of this research work was to target both problems by leveraging four artificial intelligence techniques. The first technique is a novel unsupervised learning method based on skip-gram modeling. It was designed, developed and tested against a public dataset with popular intrusion patterns. A high accuracy and a low false positive rate were achieved without prior knowledge of attack patterns. The second technique is a novel unsupervised learning method based on topic modeling. It was applied to three related domains (network attacks, payments fraud, IoT malware traffic). A high accuracy was achieved in the three scenarios, even though the malicious activity significantly differs from one domain to the other. The third technique is a novel unsupervised learning method based on deep autoencoders, with feature selection performed by a supervised method, random forest. Obtained results showed that this technique can outperform other similar techniques. The fourth technique is based on an MLP neural network, and is applied to alert reduction in fraud prevention. This method automates manual reviews previously done by human experts, without significantly impacting accuracy.