PROJECT SUMMARY

GenAISim: Simulation in the Loop for Multi-Stakeholder Interactions with Generative Agents

Focus Areas: News & Media, Mobilities, Social Services, Health
Status: Active

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 data driven 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.

PROJECT 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.

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RESEARCHERS

Prof Flora Salim

Prof Flora Salim

Project Co-Leader and Chief Investigator,
UNSW

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Hao Xue

Dr Hao Xue

Project Co-Leader and Associate Investigator,
UNSW

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Kim Weatherall

Prof Kimberlee Weatherall

Project Co-Leader and Chief Investigator,
University of Sydney

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Sarah Pink

Prof Sarah Pink

Project Co-Leader and Chief Investigator,
Monash University

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Daniel Angus

Prof Daniel Angus

Project Co-Leader and Chief Investigator,
QUT

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Jeffrey Chan

Assoc Prof Jeffrey Chan

Project Co-Leader and Chief Investigator,
RMIT University

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Jake Goldenfein

Dr Jake Goldenfein

Chief Investigator,
University of Melbourne

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ADM+S Chief Investigator Christopher Leckie

Prof Christopher Leckie

Chief Investigator,
University of Melbourne

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ADM+S Investigator Sarah Erfani

Dr Sarah Erfani

Associate Investigator,
University of Melbourne

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Danula Hettiachchi

Dr Danula Hettiachchi

Associate Investigator,
RMIT University

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Debora Lanzeni

Dr Debora Lanzeni

Associate Investigator,
Monash University

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ADM+S Chief Investigator Falk Scholer

Prof Falk Scholer

Associate Investigator,
RMIT University

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Dr Aaron Snoswell

Dr Aaron Snoswell

Associate Investigator,
QUT

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Dr Damiano Spina

Dr Daminao Spina

Associate Investigator,
RMIT University

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Maarten de Rijke

Prof Maarten de Rijke

Partner Investigator,
University of Amsterdam

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ADM+S Partner Investigator Ouri Wolfson

Prof Ouri Wolfson

Partner Investigator,
University of Illinois

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Shohreh Deldari

Dr Shohreh Deldari

Research Fellow,
UNSW

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Annie Luo

Shuxuan (Annie) Luo

Research Fellow,
University of Sydney

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Mohammadmahdi Jafari

Mohammadmahdi Jafari

PhD Student,
UNSW

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Lihuan LI

Lihuan Li

PhD Student,
UNSW

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wilson Wongso

Wilson Wongso

PhD Student,
UNSW

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Du Yin

Du Yin

PhD Student,
UNSW

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Tiberio Caetoano

Prof Tiberio Caetano

Affiliate,
Gradient Institute

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Yuncheng Hua

Yuncheng (Devin) Hua

Research Fellow,
UNSW

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PARTNERS

Bendigo Health logo

Bendigo
Hospital

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Halmstad University logo

Halmstad
University

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University of Amsterdam logo

University of
Amsterdam

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COLLABORATORS

Gradient Institute logo

Gradient Institute

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University of Illinois

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