Project Summary
Traditional decision-making processes often struggle to adapt to the dynamic and multifaceted nature of the modern world. This research addresses a higher-level profound need for advanced automated decision-making tools that can address complex, context-rich challenges in society.
This project will investigate a hybrid decision-making system, leveraging cooperative knowledge from multiple stakeholders through socio-technical observations, and knowledge priors in Large Language Models (LLMs) and open datasets. It will develop GenAISim, a novel suite of generative and datadriven simulations, useful for depicting current and future urban scenarios, including in mobility, urban policymaking, and health domains. Through a multidisciplinary sociotechnical framework of investigation, this project will establish a new simulation in the loop paradigm.
Objectives:
- Explore LLM agent-based synthetic data generation techniques to simulate and augment human behaviours in diverse contexts;
- Develop a robust framework for hypothesis testing of real-world observations and relationships, while avoiding spurious correlations;
- Investigate diverse stakeholder settings, often with nonoverlapping and potentially conflicting objectives, priorities, constraints, incentives and pain points; and
- Explore questions around hybrid decision making – if an LLM agent is substituting for a decision maker in contexts.
Project team
- Prof Flora Salim
- Dr Hao Xue
- Prof Kimberlee Weatherall
- Prof Sarah Pink
- Dr Debora Lanzeni
- Prof Daniel Angus
- Assoc Prof Jeffrey Chan
- Prof Falk Scholer
- Dr Danula Hettiachchi
- Dr Damiano Spina
- Prof Christopher Leckie
- Dr Jake Goldenfein
- Dr Sarah Erfani
- Dr Aaron Snoswell
- Dr Shohreh Deldari
- Prof Maarten de Rijke
- Prof Ouri Wolfson
- Dr Tiberio Caetano
Project partners & collaborators
- University of Amsterdam
- Halmstad University
- Bendigo Health
- Gradient Institute
- University of Illinois Urbana-Champaign
Project funding
- Australian Government through the Australian Research Council – ARC Centre of Excellence for Automated Decision-Making and Society (ADM+S)
