The arts and Australia's national innovation system 1994 - 2008 arguments, recommendations, challenges

Based on 15 years of arts and innovation literature, this paper explores the central proposition that the arts sector - particularly the performing arts, visual arts and crafts, new media arts and creative writing - should be included in Australian Government innovation policy development and play a significant role in national innovation. After a brief overview of innovation policy and the national innovation systems approach in Australia, we examine the marginal place of the arts in Australia's innovation agenda and various attempts to include them. We identify the principal voices that have argued for arts and innovation development: the humanities, arts and social sciences (HASS) sector, digital content industries, arts education and university research, and new media arts. After three main periods of arts and innovation policy activity from the mid.1990s (when the importance of innovation as a key driver of Australia's prosperity was recognised) to early 2008, a fourth period has opened up as part of the Australian Government's Review of the National Innovation System in 2008.

A recommendation system for predicting risks across multiple business process instances

This paper proposes a recommendation system that supports process participants in taking risk-informed decisions, with the goal of reducing risks that may arise during process execution. Risk reduction involves decreasing the likelihood and severity of a process fault from occurring. Given a business process exposed to risks, e.g. a financial process exposed to a risk of reputation loss, we enact this process and whenever a process participant needs to provide input to the process, e.g. by selecting the next task to execute or by filling out a form, we suggest to the participant the action to perform which minimizes the predicted process risk. Risks are predicted by traversing decision trees generated from the logs of past process executions, which consider process data, involved resources, task durations and other information elements like task frequencies. When applied in the context of multiple process instances running concurrently, a second technique is employed that uses integer linear programming to compute the optimal assignment of resources to tasks to be performed, in order to deal with the interplay between risks relative to different instances. The recommendation system has been implemented as a set of components on top of the YAWL BPM system and its effectiveness has been evaluated using a real-life scenario, in collaboration with risk analysts of a large insurance company. The results, based on a simulation of the real-life scenario and its comparison with the event data provided by the company, show that the process instances executed concurrently complete with significantly fewer faults and with lower fault severities, when the recommendations provided by our recommendation system are taken into account.