Resource Allocation

Our expertise lies both in designing mechanisms and evaluating axiomatic and strategic aspects of allocating divisible and indivisible goods, resources, or chores in both centralised and decentralised settings. These algorithms have applications in diverse fields such as scheduling and security. ADT was working with Food Bank local (Australia) to design better ways to allocate food in online settings.

Matching Algorithms

The members of ADT have experience in both modelling matching markets and developing algorithms and policies for clearing matching markets in both one-sided and two-sided settings. At present we are consulting with the Australian organ authorities for more effective ways to allocate organs. Another recent project involves designing algorithms for principled and efficient allocation to refugees to localities based on the preferences and priorities of the concerned parties.

Collective Decision Making

Our group has expertise in several research areas related to collective decision making, including performing axiomatic analysis of voting protocols; developing languages and frameworks to express preferences; designing algorithms to identify structure in preference profiles, and leveraging our preference library PrefLib as a platform and library for handling preferences. A recent representative project involves designing peer selection mechanisms that provide incentives to participants to provide truthful evaluations about others.

Game theoretic approaches to optimisation and other domains

Using aspects of cooperative game theory, the ADT group is creating better models and algorithms for cost and profit allocation in logistics and transport settings.  The results in these areas can be used by our commercial partners to save money and go greener in their efforts to serve the customers in Australia and across the world.

Impact of AI and Robotics

In collaboration with the new Centre on the Impact of AI and Robotics,
we study the potential impact of AI and robotics and promote beneficial outcomes by means of research, teaching, measurement and public debate. We are trying to drive AI and robotics towards secure, safe and successful returns by developing and influencing thought leaders of tomorrow through an extensive programme of research, education, conferences, workshops and events. For more details, see