2019 ADC Suggested Research Topics
If you are thinking of researching or writing on a topic that matters to Defence, have a look at this list. Every topic has been identified by a Service or Group as being important to them in 2019. The list will be particularly useful to Defence or ADC students who are required to choose research paper topics. The list provides a great opportunity to ensure that your work is of strategic interest, furthers professional discourse and may be relevant to your future career.
Joint Professional Military Education (JPME)
The Australian Joint Professional Military Education Continuum is Australia’s system to develop mastery in the Profession of Arms and aims to cultivate an intellectual edge in warfighting. The Joint Professional Military Education Continuum comprises:
The Value Proposition for Developing a Future Intellectual Edge
Mick Ryan offers a new ‘value proposition’ for the intellectual development of military personnel for conflict in the 4th industrial revolution.
Links to Follow
Twitter feeds and podcasts to follow.
Useful JPME Links - Australia.
Useful JPME Links - Overseas.
Artificially Intelligent Engineers – How AI Will Kill All Engineering Jobs
Suitable for junior through to senior officers. May be useful for Command and Staff College and Capability and Technology Management College students. Offers technical insight that is valuable to those not familiar with the field of Artificial Intelligence and potential applications to Defence systems.
Optimization of Condition-Based Maintenance Using Soft Computing
Due to high costs associated with conventional maintenance strategies, application of soft computing in monitoring the condition of equipment to predict the health of various components of machine tools in manufacturing processes has attracted the attention of researchers.
Development of an Algorithm for Calculating the ‘Risk’ of Terrorist CBRN
In order to avert a disaster from a terrorist chemical, biological, radiological or nuclear (CBRN) attack, it is important to study the likelihood of terrorists using CBRN weapons. This study reports on the development of an algorithm for calculating the ‘risk’ of a terrorist seeking CBRN weaponry with 67.3 percent prediction accuracy.