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Algorithmic Decision Theory

The Algorithmic Decision Theory group at Data61, CSIRO and UNSW Sydney works on foundational and applied research focussed on collective decision making in multi-agent environments. The research involves a multi-disciplinary approach drawing upon optimisation, social choice, game theory, and multi-agent systems. We are part of the Decision Sciences research group at Data61.

Our broad goal is to develop the theory, tools, and techniques to support collective decision making using a blend of game theory, AI, and algorithmics. We design mechanisms to aggregate possibly conflicting preferences in areas such as resource allocation, voting, matching markets, and auctions.

Our research is driven by several factors that transform our lives: the web (which is creating many new and exciting business models), big data (which is transforming the way we can optimise many industries), and environmental and financial pressures (which are forcing us to look for more optimal solutions).

We collaborate with a number of research groups and organisations locally including (1) Computer Science and Engineering, UNSW; (2) Centre on Impact of AI and Robotics, and (3) AGORA Center for Institutional, Market & Organisational Design, UNSW. ADT is also an affiliated member of the European Network on Game Theory.