The Australian Electoral Commission (AEC) is the independent federal agency in charge of organising, conducting and supervising federal Australian elections, by-elections and referendums.
Building Information Modelling (BIM) tools and workflows continue to proliferate within the Design, Construction and Operation (DCO) industry. To equip current and future industry professionals with the necessary knowledge and skills to engage in collaborative workflows and integrated project deliverables, it is important to identify the competencies that need to be taught at educational institutions or trained on the job. Expanding upon a collaborative BIM education framework pertaining to a national BIM initiative in Australia, this paper introduces a conceptual workflow to identify, classify, and aggregate BIM competency items. Acting as a knowledge-base for BIM learners and learning providers, the aggregated competency items can be used to develop BIM learning modules to satisfy the learning requirements of varied audiences - be they students, practitioners, tradespeople or managers. This competency knowledge-base will facilitate a common understanding of BIM deliverables and their requirements, and support the national efforts to promote BIM learning. Keywords : BIM competency, BIM education, BIM learning modules, competency knowledge-base, learning triangle.
The research examined who is likely to vote early and why they do so. Correlation analysis at the Commonwealth electoral division level shows that age, income and education are associated with the type of early vote (pre-poll or postal votes) voters are more likely to cast. The analysis suggests that the largest numbers of early votes, in the form of pre-poll votes, are cast by middle age and older Australians with average incomes and lower levels of education. “Convenience” is the main reason given by Australians to vote early but this is not among the allowed reasons listed by the Commonwealth Electoral Act 1918.
Several models extending the Standard Model predict final states resulting in long-lived or unusual signatures. Many of these signatures are targeted by the search programs of the Large Hadron Collider experiments ATLAS and CMS. Recent results extracted from the 7 TeV and 8 TeV data, recorded in 2011 and 2012 respectively, are presented. So far no evidence for such signatures have been found and various model exclusions have been performed.
