Humans, Machines, and Decision Responsibility

PROJECT SUMMARY

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Humans, Machines, and Decision Responsibility

Focus Areas: News & Media, Social Services, Mobilities, Health
Research Program: Institutions, Machines
Status: Active

Automated decision-making provokes a range of anxieties around transparency, equality, and accountability. A key response has been the call to ‘re-humanise’ automated decisions, with the hope that human control of automated systems might defend human values from mindless technocracy. Regulation of automated decision-making and AI often embeds this form of human centrism by prescribing a ‘human in the loop’ and the need for automated decisions to be ‘explained’. These requirements are central elements of the risk-based approaches AI regulation currently in development.

Despite their intuitive appeal, empirical research is revealing the limitations and complexities of these approaches. AI explanations sometimes provide little that is useful for decision subjects or decision makers, and risk distracting from more meaningful interrogation of why decisions are made. A human in the loop sometimes functions as a rubber stamp for automated decisions, cleaving accountability away from the true sites of decision responsibility.

This project seeks to generate better understandings of the functions, capacities, and normative role of humans within automated decision systems. It will investigate the ways that automated systems ought to explain or be explained to humans within decision processes, and how elements of decision-making including processes, responsibility, authority, and what counts as a decision itself, are fragmented and redistributed between humans, machines, and organisations. The goal is to generate empirical knowledge of how automated systems, humans, and organisations interact in different contexts when making decisions, and to move past outdated understandings of decisions-making that are hindering effective governance of automation in new decision contexts.

RESEARCHERS

Jake Goldenfein

Dr Jake Goldenfein

Lead Investigator,
University of Melbourne

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ADM+S Associate Director Jean Burgess

Prof Jean Burgess

Chief Investigator,
QUT

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Prof Paul Henman

Chief Investigator,
University of Queensland

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ADM+S Chief Investigator Christopher Leckie

Prof Chris Leckie

Chief Investigator,
University of Melbourne

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Prof Flora Salim

Prof Flora Salim

Chief Investigator,
UNSW

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Distinguished Professor Julian Thomas

Prof Julian Thomas

Chief Investigator,
RMIT University

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Kim Weatherall

Prof Kim Weatherall

Chief Investigator,
University of Sydney

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Henry Fraser

Dr Henry Fraser

Research Fellow,
QUT

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Dr Awais Hameed Khan

Research Fellow,
UQ

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Christopher O'Neill

Dr Chris O’Neil

Research Fellow,
Monash University

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Ash Watson

Dr Ash Watson

Research Fellow,
UNSW

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Fan Yang

Dr Fan Yang

Research Fellow,
University of Melbourne

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Jenny Kennedy

Libby Young

PhD Student
University of Sydney

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Fabio Mattioli

Dr Fabio Mattioli

Affiliate
University of Melbourne

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Australian Digital Inclusion Index Project

PROJECT SUMMARY

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Australian Digital Inclusion Index Project

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

Digital inclusion is about ensuring that all Australians can access and use digital technologies effectively. We are experiencing an accelerating digital transformation in many aspects of economic and social life. Our premise is that everyone should have the opportunity to benefit from digital technologies: to manage their health, access education and services, participate in cultural activities, organise their finances, follow news and media, and connect with family, friends, and the wider world.

The Australian Digital Inclusion Index (ADII or “Index”) uses survey data to measure digital inclusion across three dimensions of Access, Affordability and Digital Ability. We explore how these dimensions vary across the country and across different social groups.

In partnership with Telstra and through biennial data collections presented through reports and data visualisation dashboards, the ADII is capturing and communicating the evolving state of digital inclusion in Australia. This is complemented by aligned sub-projects with local, state and federal government departments and community partners to drill down into specific digital inclusion challenges for social groups or geographical regions of interest.

A detailed measure of digital inclusion for Australia allows us to identify the critical barriers to inclusion. These may be related to accessing networks, the costs of devices or data, or skills and literacies. Through these measures, the Index shapes digital equity policy and initiatives, research, and practice to increase digital inclusion in Australia.

Visit the ADII website 

RESEARCHERS

Distinguished Professor Julian Thomas

Prof Julian Thomas

Chief Investigator,
RMIT University

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ADM+S Chief Investigator Anthony McCosker

Prof Anthony McCosker

Chief Investigator,
Swinburne University

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Jenny Kennedy

Dr Jenny Kennedy

Associate Investigator,
RMIT University

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Sharon Parkinson

Dr Sharon Parkinson

Associate Investigator,
Swinburne University

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Kieran Hegarty

Kieran Hegarty

Research Fellow,
RMIT University

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RESEARCHER SUPPORT

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Lucy Valenta

Research Coordinator,
RMIT University

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PARTNERS

Telstra

Telstra

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Is Pricing Discriminatory: Testing Automated Decision-Making Systems in Online Insurance Markets

PROJECT SUMMARY

Is Pricing Discriminatory: Testing Automated Decision-Making Systems in Online Insurance Markets

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

Advances in data-driven and AI systems are driving significant transformation in the emerging insurance technology (insurtech) sector.

This project investigates the extent to which automated decision-making systems impact the provision of consumer insurance via pricing algorithms which may produce unfair outcomes for particular subsets of society by engaging in proxy and price discrimination.

RESEARCHERS

Kelly Lewis

Dr Kelly Lewis

Lead Investigator,
Monash University

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Mark Andrejevic

Prof Mark Andrejevic

Chief Investigator,
Monash University

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Daniel Angus

Prof Daniel Angus

Chief Investigator,
QUT

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Kim Weatherall

Prof Kim Weatherall

Chief Investigator,
University of Sydney

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Zofia Bednarz

Dr Zofia Bednarz

Associate Investigator,
University of Sydney

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Jathan Sadowski

Dr Jathan Sadowski

Associate Investigator,
Monash University

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ADM+S professional staff Abdul Obeid

Dr Abdul Obeid

Data Engineer,
QUT

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PARTNERS

CHOICE

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Consumer Policy Research Centre

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Automation and Public Space

PROJECT SUMMARY

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Automation and Public Space

Focus Areas: News and Media, Transport and Mobility, Health, and Social Services
Research Program: Data
Status:
 Active

From delivery drones to digital twins to crowd surveillance, automated decision-making technologies and practices are increasingly impacting public and shared space. This project investigates how automated decision-making systems impact public and shared space via sensors that produce actionable digital simulations, artefacts, and interfaces. Through a mixed methods approach, it will examine current and potential effects of automated decision-making on the form, use, and experience of public space.

Technological development in this area is undergoing rapid change. Delivery via autonomous drone requires sensor-driven navigation systems, but the data and models they produce about public space will likely lead to modulations of that space in response. In urban and environmental governance, ‘digital twins’ are increasingly to monitor environments in real-time, simulate the impact of potential changes, and even implement those changes directly. Technologies such as these are not only increasingly deployed in Australia, but are also invented, designed, and tested here too, often in proximity to defence and defence industries.

Understanding how tools of automated spatiality reconfigure environments and the role of policy and industry in their innovation and uptake will generate new knowledge about a critical point of convergence between public space, technology, defence, and industry with national significance, as well as implications for international jurisdictions facing similar changes and challenges.

Over 3 years commencing in 2022, the project aims to answer the following questions:
• How is space-making automated across different technologies and contexts? What logics, techniques and practices are shared? What are distinct to different contexts?
• How does automated spatiality lead to the reconfiguring of public space?
• How are digital infrastructures, such as unmanned traffic management systems for civilian airspace, imagined, organised, and regulated?
• How do policy settings, industrial demands, and defence priorities shape the development and application of technologies of automated spatiality?

RESEARCHERS

Michael Richardson

Assoc Prof Michael Richardson

Lead Investigator,
UNSW

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Mark Andrejevic

Prof Mark Andrejevic

Chief Investigator,
Monash University

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Jake Goldenfein

Dr Jake Goldenfein

Chief Investigator,
University of Melbourne

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ADM+S Chief Investigator Anthony McCosker

Prof Anthony McCosker

Chief Investigator,
Swinburne University

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Jathan Sadowski

Dr Jathan Sadowski

Associate Investigator,
Monash University

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Rowan Wilken

Assoc Prof Rowan Wilken

Associate Investigator,
RMIT University

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Kelly Lewis

Dr Kelly Lewis

Research Fellow,
Monash University

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Christopher O'Neill

Dr Chris O’Neill

Research Fellow,
Monash University

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Thao Phan

Dr Thao Phan

Research Fellow,
Monash University

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Zoe Horn

Zoe Horn

PhD Student,
Western Sydney University

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Lauren Kelly

Lauren Kelly

Student,
RMIT University

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Andrew Brooks

Dr Andrew Brooks

Affiliate,
UNSW

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PARTNERS

OVIC Logo

Office of the Victorian Information Commissioner

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Risk, Rule-setters and Rule-takers: Regulatory approaches to risk in AI-supported and AI-automated decision-making for general welfare

PROJECT SUMMARY

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Risk, Rule-setters and Rule-takers: Regulatory approaches to risk in AI-supported and AI-automated decision-making for general welfare

Focus Areas: News and Media, Transport and Mobility, Health, and Social Services
Research Programs: Institutions
Status: Active

This project seeks to scope several approaches to deal with Automated Decision-Making and Decision-Support Systems-Related Risks (ADM/DSS RR) through norms and provide an evaluation of those approaches for their consideration in regulatory contexts.

The standpoint is to look at risk control of those systems beyond ethics or social principles and focus the discussion on the possible interventions from the regulator’s perspective.

The overarching questions and sub-questions guiding this project are:

  • What is risk in an ADM / DS System?
    – Is it possible to define it?
    – How is it different from technological risk?
    – How is it different from the concept of risk in
    management?
    – Are all “potential harms” risks of and ADM/DSS?
    – Is there a concept of risk usable for regulatory
    purposes?
  • What types of risks are common and which ones specific to ADM/DSS?
    – Due to the nature of the risk?
    – Due to the scale of the risk?
  • What is an acceptable risk:
    – From the point of view of society as a whole
    – From the point of view of the most vulnerable groups
    – From the point of view of the owner of the AI system
    – From the point of view of the users of the system
  • Can risk be separated from questions of liability/ responsibility or do they need to be regulated together?

RESEARCHERS

Kimberlee Weatherall

Prof Kimberlee Weatherall

Chief Investigator,
University of Sydney

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ADM+S Chief Investigator Nic Suzor

Prof Nicolas Suzor

Chief Investigator,
QUT

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José-Miguel Bello y Villarino

Dr José-Miguel Bello Villarino

Research Fellow,
University of Sydney

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Henry Fraser

Dr Henry Fraser

Research Fellow,
QUT

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PARTNERS

Gradient Institute logo

Gradient Institute

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Big Data, Sexual Surveillance and Alternative Governance

PROJECT SUMMARY

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Big Data, Sexual Surveillance and Alternative Governance

Focus Area: Health
Research Programs: Institutions
Status: Active

The contested governance of sexual technologies – from apps and platforms to bots and devices – provides a unique case study through which to identify current problems in automated decision-making and to generate new principles, values and approaches. This project will examine existing practices in the collection and use of sexual data by both private and public actors.

It will investigate how algorithms are taught to understand sex, gender and sexuality through digital proxies and their potential to amplify discrimination. It will explore alternative frameworks for governing sexual technologies, including collective approaches to content moderation and data governance.

RESEARCHERS

Zahra Stardust profile picture

Dr Zahra Stardust

Lead Investigator,
QUT

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ADM+S Chief Investigator Nic Suzor

Prof Nicolas Suzor

Chief Investigator,
QUT

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Assessing Prospective Harms (vs Benefits) associated with ADM

PROJECT SUMMARY

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Assessing Prospective Harms (vs Benefits) associated with ADM

Focus Areas: News and Media, Transport and Mobility, Health, and Social Services
Research Programs: Data, Machines, Institutions
Status: 
Completed

The project (which is now completed) was set up as a preliminary exercise in assessing prospective harms vs prospective benefits associated with ADM as a first step to amelioration. It took a two-pronged approach: firstly, focusing on individual and social harms/costs that may be associated with automated or semi-automated data processing (including collection, retention, dissemination, and other uses of data) – versus prospective benefits; and secondly, assessing the levels of risk of these harms ranging from nebulous to very significant (and acknowledging there may be
uncertain outcomes and uneven distributions). The overall aim was thus to have a fuller appreciation of harms and risks as a precursor to thinking practically about amelioration/mitigation of costs.

More specifically, the project was geared to questions of elaborating and understanding the range of prospective harms associated with loss of control over data processing for individuals, groups and society, and indeed the entirety of the living world, as a first step to finding solutions such as changes in law, or social practices, or business methods, or technologies (or some combination of these).

The principal activity of the project was to have a series of workshops planned, organised and hosted by the coordinators CI Richardson, AI Roberts and Postdoc Jiménez (with administrator Astari.Kusumawardani providing support). The workshops featured the work of diverse ADM+S CIs, AIs, Researchers and Affiliates and adopted an intense mode of interrogation and discussion along with suggestions. The aim was to assist ADMS personnel with the preparation of reports, books and scholarly articles (as well as share insights and ideas).

Topics and presenters in the workshop series included the following:
•March: Aitor Jiménez (Megan Richardson chair), Crimes of digital capitalism
•March: Ariadna Matamoros- Fernández, Rosalie Gillett, Anjalee de Silva (Aitor Jiménez chair), •Gendered harm
•April: José-Miguel Bello Villarino, Henry Fraser (Megan Richardson chair), Where residual risks reside: a comparative approach to AI risk management under the EU’s AI Act Proposal
•April: Jake Goldenfein (Megan Richardsonchair) How competing constructions of humans legitimize online advertising
•May: Simon Coghlan, Christine Parker (Andy Roberts, chair), A preliminary framework for understanding how ADM/AI technologies can harm non-human animals
•June: Lisa Archbold (Andy Roberts chair), Children’s developmental privacy
•July: Frank Pasquale/Jeannie Paterson (Megan Richardson chair: co-hosted with CAIDE), Automated grace: toward more humane benefits administration via AI
•August: James Meese (Megan Richardson chair), Regulating news recommendation: looking beyond harm
•September: Megan Richardson (Jeannie Paterson chair – co-hosted with CAIDE), Trust norms and data rights
•October: Ariadna Matamoros- Fernández, Louisa Bartolo, Luke Troynar (Aitor Jiménez chair), Addressing harmful humour as an online safety issue
•November: Damian Clifford (Megan Richardson chair), Data protection and (in)accuracy

RESEARCHERS

ADM+S Investigator Christine Parker

Prof Christine Parker

Lead Investigator,
University of Melbourne

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Jake Goldenfein

Dr Jake Goldenfein

Chief Investigator,
University of Melbourne

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Kim Weatherall

Prof Kim Weatherall

Chief Investigator,
University of Sydney

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Zofia Bednarz

Dr Zofia Bednarz

Associate Investigator,
University of Sydney

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Simon Coghlan

Dr Simon Coghlan

Associate Investigator,
University of Melbourne

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ADM+S Chief Investigator Andrew Kenyon

Prof Andrew Kenyon

Associate Investigator,
University of Melbourne

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Dr Ariadna Matamoros-Fernández

Associate Investigator,
QUT

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James Meese

Dr James Meese

Associate Investigator,
RMIT University

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Andrew Roberts

Prof Andrew Roberts

Associate Investigator,
University of Melbourne

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ADM+S Investigator Ivana Jurko

Ivana Jurko

Partner Investigator,
Red Cross Australia

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José-Miguel Bello y Villarino

Dr José-Miguel Bello Villarino

Research Fellow,
University of Sydney

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Anjalee de Silva

Dr Anjalee de Silva

Research Fellow,
University of Melbourne

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Henry Fraser

Dr Henry Fraser

Research Fellow,
QUT

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Dr Rosalie Gillett

Research Fellow,
QUT

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Aitor Jiménez

Dr Aitor Jiménez

Research Fellow,
University of Melbourne

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Damian Clifford

Dr Damian Clifford

Affiliate,
ANU

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ADM+S Investigator Fiona Haines

Prof Fiona Haines

Affiliate,
University of Melbourne

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Kobi Leins

Dr Kobi Leins

Affiliate,
King’s College

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Jeannie Paterson

Prof Jeannie Paterson

Affiliate,
University of Melbourne

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ADM+S Chief Investigator Megan Richardson

Prof Megan Richardson

Affiliate,
University of Melbourne

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PARTNERS

OVIC Logo

Office of the Victorian Information Commissioner (OVIC)

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Public Interest Litigation for AI Accountability

PROJECT SUMMARY

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Public Interest Litigation for AI Accountability

Focus Areas: News and Media, Health, Social Services, Transport and Mobilities
Research Program: Institutions
Status: Active

If you have been harmed by bad automated decision-making, from robots to loan assessments, what can you do to right the wrong? What can the law do to help you? A growing number of public controversies about discriminatory, unpredictable and dangerous automated decision-making has raised questions about the most effective methods of accountability.

Through qualitative interviews with stakeholders (including class action and pro bono lawyers), this project seeks to identify the opportunities, enablers and barriers for public interest litigation to promote accountability and fairness in automated decision-making.

RESEARCHERS

ADM+S Chief Investigator Nic Suzor

Prof Nicolas Suzor

Lead Investigator,
QUT

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Henry Fraser

Dr Henry Fraser

Research Fellow,
QUT

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Dr Zahra Stardust

Research Fellow,
QUT

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Ecological Implications of Data Centres

PROJECT SUMMARY

Data centre

Ecological Implications of Data Centres

Focus Areas: News and Media, Transport and Mobility, Health, Social Services
Research Program: Institutions
Status: Active

The project seeks to understand how companies, public agencies and civil society address the environmental conditions and limitations facing the establishment and management of data centres and submarine cables in urban and coastal areas.

A central part of data centre management is heat management: servers produce heat, and as they are gathered in large numbers in close areas, temperatures rise raising the risk of fire. To overcome this, data centre operators have various techniques to cool down these facilities and avoid any risks of data loss caused by fires. Moreover, when landing, telecom subsea cables risk to damage the local biodiversity (especially marine plants).

Thus, this project will ask: what shapes the environmental impacts of data centres cooling infrastructures? What are the ecological implications involved with the landing of a telecom submarine cable or the creation of a new data centre? How are these ecological impacts made visible to stakeholders? To what extent do environmental assessments succeed in reconciling the various interests at stake (security of infrastructures, maritime trade, marine biodiversity) in the passage of a telecomunication cable? How do ecological and infrastructural vulnerabilities of both data centers and telecom submarine cables shape the world-wide interconnection of data at the heart of the digital economy?

In order to address this question, we will take as a case study the rapid growth of data centres and telecommunication subsea cables in Marseille (France), which is particularly interesting as this city is in a warm climate, making the issue of heat management more difficult there than in the north of Europe.

This project is conducted by ADM+S Research Fellow Dr Loup Cellard in collaboration with Dr Clément Marquet (Mines Paris).

RESEARCHERS

ADM+S Investigator Christine Parker

Prof Christine Parker

Lead Investigator,
University of Melbourne

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ADM+S Investigator Karen Yeung

Prof Karen Yeung

Partner Investigator,
University of Birmingham

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Loup Cellard

Dr Loup Cellard

Affiliate,
Datactivist Coop

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ADM+S Investigator Fiona Haines

Prof Fiona Haines

Affiliate,
University of Melbourne

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PARTNERS

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Université de Technologie de Compiègne

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University of Birmingham

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Responsible health consumer data analysis and ADM

PROJECT SUMMARY

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Responsible health consumer data analysis and ADM

Focus Area: Health
Research Program: Data
Status: Active

Health care service providers are increasingly seeking to use advanced data analytics and automated decision making to improving services and for predictive insights. By better understanding the everyday experiences of people living with mental ill-health, for example, services can improve the allocation of resources and enhance health outcomes. Accessing health consumer voices and experiences directly through social data sets (such as online health forums) can have an important impact on optimising decision making, but also raises ethical issues and data management and analysis challenges.

Drawing on cutting edge practices in text data mining and NLP analysis, this project develops a model for ethical and responsible mental health consumer data analysis. It operationalises data partnerships with the mental health organisations SANE Australia, Beyond Blue and ReachOut to explore and implement data analysis to improve mental health care, with a focus on community mental health support, and ethical, inclusive and participatory practices. The project builds on and extends work undertaken for the ARC Discovery Project (DP200100419), Optimising the roles of online communities in rural resilience, with a particular focus on data practices, analytics and ADM in digital health care services.

RESEARCHERS

ADM+S Chief Investigator Anthony McCosker

Prof Anthony McCosker

Lead Investigator,
Swinburne University

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Daniel Angus

Prof Daniel Angus

Chief Investigator,
QUT

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Kath Albury

Prof Kath Albury

Associate Investigator,
Swinburne University

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Jane Farmer

Prof Jane Farmer

Associate Investigator,
Swinburne University

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Peter Kamstra

Dr Peter Kamstra

Associate Investigator,
Swinburne University

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Yong-Bin Kang

Dr Yong-Bin Kang

Research Fellow,
Swinburne University

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Frances Shaw

Dr Frances Shaw

Research Fellow,
Swinburne University

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PARTNERS

Beyond Blue logo

Beyond Blue

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Infoxchange

Infoxchange

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Reach Out logo

Reach Out

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SANE Australia

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Transparent Machines: From Unpacking Bias to Actionable Explainability

PROJECT SUMMARY

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Transparent Machines: From Unpacking Bias to Actionable Explainability

Focus Areas: News and Media, Transport and Mobility, Health, and Social Services
Research Program: Machines
Status: Active

ADMs, their software, algorithms, and models, are often designed as “black boxes” with little efforts placed on understanding how they work. This lack of understanding does not only impact the final users of ADMs, but also the stakeholders and the developers, who need to be accountable for the systems they are creating. This problem is often exacerbated by the inherent bias coming from the data from which the models are often trained on.

Further, the wide-spread usage of deep learning models has led to increasing number of minimally-interpretable models being used, as opposed to traditional models like decision trees, or even Bayesian and statistical machine learning models.

Explanations of models are also needed to reveal potential biases in the models themselves and assist with their debiasing.

This project aims to unpack the biases in models that may come from the underlying data, or biases in software (e.g. a simulation) that could be designed with a specific purpose and angle from the developers’ point-of-view. This project also aims to investigate techniques to generate diverse, robust and actionable explanations for a range of problems and data types and modality, from large-scale unstructured data, to highly varied sensor data and multimodal data. To this end, we look to generate counterfactual explanations that have a shared dependence on the data distribution and the local behaviour of the black-box model by level, and offer new metrics in order to measure the opportunity cost of choosing one counterfactual over another. We further aim to explore the intelligibility of different representations of explanations to diverse audiences through an online user study.

RESEARCHERS

ADM+S Investigator Flora Salim

Prof Flora Salim

Lead Investigator,
UNSW

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Daniel Angus

Prof Daniel Angus

Chief Investigator,
QUT

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ADM+S Chief Investigator Paul Henman

Prof Paul Henman

Chief Investigator,
University of Queensland

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ADM+S Chief Investigator Mark Sanderson

Prof Mark Sanderson

Chief Investigator,
RMIT University

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Jeffrey Chan

Dr Jeffrey Chan

Associate Investigator,
RMIT University

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ADM+S Chief Investigator Falk Scholer

Prof Falk Scholer

Associate Investigator,
RMIT University

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ADM+S Investigator Damiano Spina

Dr Damiano Spina

Associate Investigator,
RMIT University

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ADM+S Investigator Maarten de Rijke

Prof Maarten de Rijke

Partner Investigator,
University of Amsterdam

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Peibo Li

Peibo Li

PhD Student,
UNSW

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Edward Small

Edward Small

PhD Student,
RMIT University

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Kacper Sokol

Kacper Sokol

Affiliate,
ETH Zurich

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PARTNERS

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University of Amsterdam

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Quantifying and Measuring Bias and Engagement

PROJECT SUMMARY

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Quantifying and Measuring Bias and Engagement

Focus Areas: News & Media, Health
Research Programs: Machines, Data
Status: Active

Automated decision-making systems and machines – including search engines and intelligent assistants – are designed, evaluated, and optimised by defining frameworks that model the users who are going to interact with them. These models are typically a simplified representation of users (e.g., using the relevance of items delivered to the user as a surrogate for system quality) to operationalise the development process of such systems. A grand open challenge is to make these frameworks more complete, by including new aspects such as fairness, that are as important as the traditional definitions of quality, to inform the design, evaluation and optimisation of such systems.

Recent developments in machine learning, information access, and AI communities attempt to define mechanisms to minimise the creation and reinforcement of unintended cognitive biases.

However, there are a number of research questions related to quantifying and measuring bias and engagement that remain unexplored:
– Is it possible to measure bias by observing users interacting with search engines, or intelligent assistants?
– How do users perceive fairness, bias, or trust? How can these perceptions be measured effectively?
– To what extent can sensors in wearable devices and interaction logging (e.g., search queries, app swipes, notification dismissal, etc) inform the measurement of bias and engagement?
– Are the implicit signals captured from sensors and interaction logs correlated with explicit human ratings w.r.t. bias and engagement?

The research aims to address the research questions above by focusing on information access systems that involve automated decision-making components. By partnering with experts in fact-checking, we use misinformation management as the main scenario of study, given that bias and engagement play an important role in three main elements of the automated decision-making processes: the user, the system, and the information that is presented and consumed.

The methodologies considered to address these questions include lab user studies (e.g., observational studies), and the use of crowdsourcing platforms (e.g., Amazon Mechanical Turk). The data collection processes include: logging human-system interactions; sensor data collected using wearable devices; and questionnaires.

RESEARCHERS

Dr Damiano Spina

Dr Damiano Spina

Lead Investigator,
RMIT University

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ADM+S Chief Investigator Anthony McCosker

Assoc Prof Anthony McCosker

Chief Investigator,
Swinburne University

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ADM+S Investigator Flora Salim

Prof Flora Salim

Chief Investigator,
UNSW

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ADM+S Chief Investigator Mark Sanderson

Prof Mark Sanderson

Chief Investigator,
RMIT University

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ADM+S Associate Investigator Jenny Kennedy

Dr Jenny Kennedy

Associate Investigator,
RMIT University

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ADM+S Chief Investigator Falk Scholer

Prof Falk Scholer

Associate Investigator,
RMIT University

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Danula Hettiachchi

Dr Danula Hettiachchi

Research Fellow,
RMIT University

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Nuha Abu Onq

PhD Student,
RMIT University

Marwah Alaofi

Marwah Alaofi

PhD Student,
RMIT University

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Hmdh Alknjr

PhD Student,
RMIT University

Danula Hettiachchi

Sachin Cherumanal

PhD Student,
RMIT University

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Kaixin Ji

Kaixin Ji

PhD Student,
RMIT University

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PARTNERS

ABC logo

Australian Broadcasting Corporation

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AlgorithmWatch Logo

Algorithm Watch (Germany)

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Bendigo Health logo

Bendigo Hospital

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Google Logo

Google Australia

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RMIT ABC Fact Check Logo

RMIT ABC Fact Check

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Governing ADM Use

PROJECT SUMMARY

Blurred people in busy precinct

Governing ADM Use

Focus Areas: News and Media, Transport and Mobility, Health, and Social Services
Research Program: Institutions
Status: Active

The Governing ADM Use Project was an ‘umbrella’ project designed to seed the work of the ADM+S Institutions program in the rapidly evolving area of ADM and AI regulation. The project conceives the challenge of governing ADM use as a multi layered network incorporating the regulation of the use of ADM by government authorities, the regulation by government of ADM use in the commercial and private sector, and the interaction of ADM-specific regulation and governance with a range of other areas of law, regulation and governance that impinge and interact (more or less directly) with the specific governance of ADM/AI.

This latter category extends from data and privacy regulation to competition and consumer protection and beyond to sector and problem specific areas of regulation such as energy regulation, worker health and safety, labour force regulation and importantly environmental and planning laws. This program of work has sought to understand the special role of law as well as broader influences on public and private sector ADM use, and how these change – or need to change – to respond to the impacts of automation. A particular feature of this program of work has been to expand our understanding of the eco-system of law and governance properly concerned with regulating ADM/AI to include how we govern the ecological impact of ADM/AI use.

RESEARCHERS

ADM+S Investigator Christine Parker

Prof Christine Parker

Lead Investigator,
University of Melbourne

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ADM+S Chief Investigator Megan Richardson

Prof Megan Richardson

Lead Investigator,
University of Melbourne

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Jake Goldenfein

Dr Jake Goldenfein

Chief Investigator,
University of Melbourne

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Kim Weatherall

Prof Kim Weatherall

Chief Investigator,
University of Sydney

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ADM+S Investigator Karen Yeung

Prof Karen Yeung

Partner Investigator,
University of Birmingham

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José-Miguel Bello y Villarino

Dr José-Miguel Bello y Villarino

Research Fellow,
University of Sydney

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Henry Fraser

Dr Henry Fraser

Research Fellow,
QUT

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Aitor Jiménez

Dr Aitor Jiménez

Research Fellow,
University of Melbourne

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Loup Cellard

Dr Loup Cellard

Affiliate,
Datactivist Coop

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ADM+S Investigator Fiona Haines

Prof Fiona Haines

Affiliate,
University of Melbourne

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Democratic Practices of Governance Given ADM

PROJECT SUMMARY

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Democratic Practices of Governance Given ADM

Focus Areas: News and Media, Transport and Mobility, Health, and Social Services
Research Program: Institutions
Status: Active

This project examines possibilities for democratic practice, institutions and governance given automated decision-making (ADM). It focuses on challenges to and opportunities for liberal and democratic institutions and governance presented by ADM. The project aims to bridge analysis of ADM’s deployment across different domains with scholarly literature on republican and positive freedom, the rule of law and liberal democratic rights.

Overall, the project seeks to develop a theoretically rich analysis of democracy and freedom given ADM and apply the analysis to specific examples of current regulatory and democratic challenge.

RESEARCHERS

ADM+S Investigator Christine Parker

Prof Christine Parker

Lead Investigator,
University of Melbourne

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Mark Andrejevic

Prof Mark Andrejevic

Chief Investigator,
Monash University

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Jake Goldenfein

Dr Jake Goldenfein

Chief Investigator,
Melbourne University

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Distinguished Professor Julian Thomas

Prof Julian Thomas

Chief Investigator,
RMIT University

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ADM+S Investigator Sarah Erfani

Dr Sarah Erfani

Associate Investigator,
University of Melbourne

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Andrew Roberts

Prof Andrew Roberts

Associate Investigator,
University of Melbourne

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ADM+S Investigator Ivana Jurko

Ivana Jurko

Partner Investigator,
Red Cross Australia

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Anjalee de Silva

Dr Anjalee de Silva

Research Fellow,
University of Melbourne

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Aitor Jiménez

Dr Aitor Jiménez

Research Fellow,
University of Melbourne

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Chathurika Akurugoda

Chathurika Akurugoda

PhD Student,
University of Melbourne

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Lisa Archbold

Lisa Archbald

PhD Student,
University of Melbourne

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Phoebe Galbally

Phoebe Galbally

PhD Student,
University of Melbourne

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Avantik Tamta

Avantik Tamta

PhD Student,
University of Melbourne

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ADM+S Investigator Fiona Haines

Prof Fiona Haines

Affiliate,
University of Melbourne

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ADM+S Chief Investigator Megan Richardson

Prof Megan Richardson

Affiliate,
University of Melbourne

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The Coronavirus Impact

PROJECT SUMMARY

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The Coronavirus Impact

Focus Areas: News and Media, Transport and Mobility, Health, and Social Services
Research Program: Data
Status:
 Active

This project focused on a publication output: a themed issue of the journal New Media & Society. Our theme proposal was accepted and the theme issue is in its final stages pre-publication. We are still waiting for comments on one article, but 10 articles have been accepted for publication by the journal and the introduction has been written. We are only waiting for the decision on the last outstanding article before submitting the complete package to the editors for final review. The entire issue ended up being written by Centre members.

The focus of the issue is on the range of roles played by automated decision making systems in the pandemic response. These range from the automated curation of news content to automated contact tracing and air quality management. Contributions came from all four focus areas of the Centre. The timeframe for the issue enabled the inclusion of articles that tracked the shift from pandemic to endemic and an analysis of the ways in which systems developed in response to the pandemic persisted or faded away.

RESEARCHERS

Mark Andrejevic

Prof Mark Andrejevic

Lead Investigator,
Monash University

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ADM+S Associate Director Jean Burgess

Prof Jean Burgess

Chief Investigator,
QUT

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ADM+S Chief Investigator Heather Horst

Prof Heather Horst

Chief Investigator,
Western Sydney University

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ADM+S Chief Investigator Sarah Pink

Prof Sarah Pink

Chief Investigator,
Monash University

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Gerard Goggin

Prof Gerard Goggin

Associate Investigator,
University of Sydney

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Prof Ariadna Matamoros-Fernandez

Associate Investigator,
QUT

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Christopher O'Neill

Assoc Prof Michael Richardson

Associate Investigator,
UNSW

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Rowan Wilken

Assoc Prof Rowan Wilken

Associate Investigator,
RMIT University

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Dr Silvia Montaña-Niño

Research Fellow,
QUT

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Christopher O'Neill

Dr Christopher O’Neil

Research Fellow,
Monash University

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Dr Georgia van Toorn

Research Fellow,
UNSW

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PARTNERS

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Australian Red Cross

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Victorian Information Commissioner

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Data & Society Research Institute (US)

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Everyday Data Cultures

PROJECT SUMMARY

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Everyday Data Cultures

Focus Areas: News and Media, Transport and Mobility, Health, and Social Services
Research Program: Data
Status: Completed

This project explored the role of everyday data practices and literacies in automated decision-making. Its primary contribution is the novel conceptual framework of everyday data cultures, which is based on the cultural studies of everyday life. As well as a number of papers and public talks, it produced a co-authored monograph: Everyday Data Cultures (Polity Press, 2022).

Members of this team used this framework in subsequent research that sought to integrate everyday community experience into data projects with our partners in a variety of sectors across aspects of all four of the Centre’s focus areas. It will be used in future work within the Centre seeking to make sense of the impact and take-up of Generative AI in daily life – at home, at work, and in intimate relationships.

RESEARCHERS

ADM+S Associate Director Jean Burgess

Prof Jean Burgess

Lead Investigator,
QUT

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ADM+S Chief Investigator Anthony McCosker

Assoc Prof Anthony McCosker

Chief Investigator,
Swinburne University

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Rowan Wilken

Assoc Prof Rowan Wilken

Associate Investigator,
RMIT University

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Kath Albury

Prof Kath Albury

Associate Investigator,
Swinburne University

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Mapping ADM Across Sectors

PROJECT SUMMARY

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Mapping ADM Across Sectors

Focus Areas: News and Media, Transport and Mobility, Health, and Social Services
Research Programs: Data, Machines, Institutions, and People
Status: Active

ADM systems have the potential to greatly improve the overall quality of life in society, but they may also exacerbate social, political, and economic inequality. The role they play in reinforcing, reproducing, and reconfiguring power relations is, as recent events demonstrate, a key concern with respect to the deployment of automated decision making systems. When such systems are used to decide how benefits, resources, services, or information are allocated in society, they bear directly on the character and quality of life in that society. We are interested in both the potential benefits of the deployment of the technology and the potential harms. We do not treat such systems in the abstract, but are centrally concerned with the social, political, and economic relations in which they are embedded and which shape their deployment. A key question for the ADM+S Centre, in other words, is not just how best to design and deploy the technology, but what economic and political arrangements are most compatible with their fair, ethical, responsible, and democratic use.

The Social Issues in Automated Decision-Making report brings together material collected from discussions with leaders in the Centre’s focus areas and feedback from an international collection of experts in their respective domains. For each focus area we followed a similar methodology for canvassing key social issues. We started by discussing key social issues with Focus Area leaders and their teams. We then canvassed the academic literature, reports by industry groups and relevant independent organisations, and media coverage. For each area, we sought to identify key applications of ADM and the possible social benefits and harms with which they are associated. We also sought to identify continuities in these social issues both within and across the Centre’s main focus areas.

This is neither a final nor a definitive report. It marks the first step in the Centre’s ongoing social issues mapping project. The document will develop over time to reflect the insights that emerge from ongoing collaborations.

Read the report.

RESEARCHERS

Mark Andrejevic

Prof Mark Andrejevic

Lead Investigator,
Monash University

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Paul Henman

Prof Paul Henman

Chief Investigator,
University of Queensland

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ADM+S Investigator Ramon Lobato

Assoc Prof Ramon Lobato

Associate Investigator,
RMIT University

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Jathan Sadowski

Dr Jathan Sadowski

Associate Investigator,
Monash University

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Kelly Lewis

Dr Kelly Lewis

Research Fellow,
Monash University

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Christopher O'Neill

Dr Christopher O’Neil

Research Fellow,
Monash University

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Georgia Van Toorn

Dr Georgia van Toorn

Research Fellow,
UNSW

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Ash Watson

Dr Ash Watson

Research Fellow,
UNSW

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Vaughan Wozniak-O'Connor

Dr Vaughan Wozniak-O’Connor

Research Fellow,
UNSW

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Daniel Binns

Dr Daniel Binns

Affiliate,
RMIT University

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Dr Lyndal Sleep

Affiliate,
Central Queensland University

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PARTNERS

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Office of the Victorian Information Commissioner

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Australian Red Cross

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Diverse Experiences of ADM: Design, Curation and Use

PROJECT SUMMARY

Research Materials

Diverse Experiences of ADM: Design, Curation and Use

Focus Areas: News and Media, Transport and Mobility, Health, and Social Services
Research Program: People
Status: Active

The ‘Diverse Experiences of ADM’ is the overarching thematic title for a collection of studies that examine the social, cultural and ethical dimensions of how people understand and experience ADM and other new and emerging technologies. This project explores how members of diverse communities shape existing, emerging and future practices of ADM in an effort to understand and develop equitable futures. Several studies address disabled people’s lived experiences of ADM and other emerging technologies and what services they would like to see introduced to better support their care and wellbeing. Others look at health technology startups and the thinking behind developers’ visions of future technologies and identify how health and medical technologies are portrayed in Australian industry websites and news reports. One strand addresses gender, sexual health and digital contraception technologies.

Digital mental health is also a focus of some of the studies conducted in this project. There is a strong emphasis on using participatory, experimental, creative and arts-based methods to conduct research and to engage in community research translation and engagement, including artworks, zines and exhibitions. There is also a more-than-human orientation across this project, identifying the entanglements of humans not only with digital devices, software and data but with other animals and living things and the physical elements of the ecosystems in which these technologies are imagined, developed, promoted, used or resisted.

RESEARCHERS

ADM+S Chief Investigator Heather Horst

Prof Heather Horst

Lead Investigator,
Western Sydney University

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Prof Deborah Lupton

Lead Investigator,
UNSW

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Sarah Pink

Prof Sarah Pink

Lead Investigator,
Monash University

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Prof Jackie Leach Scully

Chief Investigator,
UNSW

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Georgia Van Toorn

Dr Georgia van Toorn

Research Fellow,
UNSW

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Ash Watson

Dr Ash Watson

Research Fellow,
UNSW

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Vaughan Wozniak-O'Connor

Dr Vaughan Wozniak-O’Connor

Research Fellow,
UNSW

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Cecily Klim

Cecily Klim

PhD Student,
UNSW

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Megan Rose

Dr Megan Rose

PhD Student,
UNSW

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Jacinthe Flore

Dr Jacinthe Flore

Affiliate,
University of Melbourne

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PARTNERS AND COLLABORATING ORGANISATIONS

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Consumers Health Forum of Australia

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Health Consumers NSW

Health Consumers NSW

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Data Ethics, Rights, and Markets

PROJECT SUMMARY

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Data Ethics, Rights, and Markets

Focus Areas: News and Media, Transport and Mobility, Health, and Social Services
Research Program: Data
Status: Active

The goal of this project is to contribute to the theoretical “backbone” of the ADM+S Centre and help synthesise the findings from projects in different focus areas and research programs through the creation of an historically informed theoretical overview to the social issues associated with the rise of automated decision-making (ADM).

The project supplements the descriptive mapping project (typologies and taxonomies of ADM) with an issue mapping project that connects directly with the core social concerns of the Centre: fairness, ethics, inclusion, and effectiveness.

RESEARCHERS

Distinguished Professor Julian Thomas

Prof Julian Thomas

Lead Investigator,
RMIT University

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ADM+S Associate Director Jean Burgess

Prof Jean Burgess

Chief Investigator,
QUT

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Axel Bruns, Chief Investigator with the ADM+S Centre

Prof Axel Bruns

Chief Investigator,
QUT

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Jake Goldenfein

Dr Jake Goldenfein

Chief Investigator,
University of Melbourne

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Paul Henman

Prof Paul Henman

Chief Investigator,
University of Queensland

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ADM+S Chief Investigator Anthony McCosker

Assoc Prof Anthony McCosker

Chief Investigator,
Swinburne University

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ADM+S Investigator Christine Parker

Prof Christine Parker

Chief Investigator,
University of Melbourne

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Sarah Pink

Prof Sarah Pink

Chief Investigator,
Monash University

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ADM+S Chief Investigator Mark Sanderson

Prof Mark Sanderson

Chief Investigator,
RMIT University

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Kimberlee Weatherall

Prof Kimberlee Weatherall

Chief Investigator,
University of Sydney

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ADM+S Chief Investigator Megan Richardson

Prof Megan Richardson

Affiliate,
University of Melbourne

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PARTNERS

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Australian Red Cross

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Data & Society Research Institute (US)

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Victorian Information Commissioner

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Automated Content Regulation (Sexuality Education and Health Information)

PROJECT SUMMARY

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Automated Content Regulation (Sexuality Education and Health Information)

Focus Area: Health
Research Program: Data
Status: Active

This project involved a series of informal dialogues between ADM&S researchers, UNESCO staff and researchers in the fields of sexual justice and international development in 2021. These meetings discussed the multiple anecdotal accounts by sexual health promotion organisations worldwide of the chilling effect of existing content moderation practices, primarily in relation to Facebook and Instagram.

It was concluded that a large-scale global survey would be the most effective and actionable means of generating data that UNESCO and other NGOs could use within training and advocacy activities.
The participating researchers and practitioners co-designed a draft survey framework that could be used to assess the impacts of content moderation on sexuality educators and health promoters globally.

While the survey did not proceed as an ADM&S activity, UNESCO representatives were able to build on these discussions to inform the development of an internal community of practice for global content developers.

Key findings from these dialogues were shared at the 2021 Youth Tech Health Conference, hosted by the US-based not-for-profit health promotion organisation ETR, and HDR Williams has since presented at Australian health promotion conferences.

Other key outputs included submissions by HDR Williams and Research Fellow Stardust that informed Meta Oversight Board’s 2023 Decision on Gender Identity and Nudity on Instagram. Both submissions were cited in the Oversight Board’s report, informing recommendations to overturn existing bans, and revise and clarify existing guidelines relating to nudity and ‘sexual solicitation’.

RESEARCHERS

Kath Albury

Prof Kath Albury

Lead Investigator,
Swinburne University

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ADM+S Chief Investigator Anthony McCosker

Assoc Prof Anthony McCosker

Chief Investigator,
Swinburne University

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ADM+S Chief Investigator Nic Suzor

Prof Nicolas Suzor

Chief Investigator,
QUT

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Dr Zahra Stardust

Research Fellow,
QUT

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Joanna Williams

Joanna Williams

PhD Student,
Swinburne University

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COLLABORATORS AND PROJECT ADVISORS

  • Sally Beadle
    Programme Specialist, UNESCO
  • Pauline Oosterhof
    Research Fellow, Institute of Development Studies (UK)
  • Susie Jolly
    Independent Scholar and Associate, Institute of Development Studies (UK)

Civic Automated Decision-Making

PROJECT SUMMARY

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Civic Automated Decision-Making

Focus Areas: News and Media, Transport and Mobility, Health, and Social Services
Research Program: Data
Status:
 Active

As part of the ARC Centre’s mandate to create the knowledge and strategies necessary for responsible, ethical, and inclusive automated decision-making, this project engages with the role played by such systems in democracy and civic life. The impetus for this project is to supplement discussions of AI ethics with those of AI civics – and, in particular to consider the practices, policies, technologies, and social-political arrangements of automated decision making systems that are most compatible with a vibrant democracy.

Recent developments render such a conversation increasingly pressing. The institutions that to which we have entrusted the development of some of the most powerful automated contemporary information and communication technologies available do not necessarily have civic or democratic concerns as top priority – this is not what they are built to do. Our steering mechanisms are having a difficult time keeping up – and it is crucially important to consider alternative possible arrangements for storing and processing the data upon which society relies. These questions lie at the heart of what it means to formulate world-leading policy and practice, as envisioned by the Centre.

This project draws upon expertise from across the Centre’s programs and Focus Areas to develop conceptual and practical interventions designed to align automated systems with civic and democratic imperatives. The initial phase of the project was an agenda setting workshop to consider key issues and approaches. The next step will be a themed issue or edited collection that develops approaches to Civic ADM. The final stage will include integration of these approaches with practical initiatives in the Centre, including observability and accountability projects.

RESEARCHERS

Mark Andrejevic

Prof Mark Andrejevic

Lead Investigator,
Monash University

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Jake Goldenfein

Dr Jake Goldenfein

Chief Investigator,
University of Melbourne

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ADM+S Investigator Christine Parker

Prof Christine Parker

Chief Investigator,
University of Melbourne

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Distinguished Professor Julian Thomas

Prof Julian Thomas

Chief Investigator,
RMIT University

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Kimberlee Weatherall

Prof Kimberlee Weatherall

Chief Investigator,
University of Melbourne

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ADM+S Investigator James Meese

Dr James Meese

Associate Investigator,
RMIT University

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ADM+S Chief Investigator Andrew Kenyon

Prof Andrew Kenyon

Associate Investigator,
University of Melbourne

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Dr Kylie Pappalardo

Associate Investigator,
QUT

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Michael Richardson

Assoc Prof Michael Richardson

Associate Investigator,
UNSW

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Andrew Roberts

Prof Andrew Roberts

Associate Investigator,
University of Melbourne

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ADM+S Investigator Robert Sparrow

Prof Robert Sparrow

Associate Investigator,
Monash University

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ADM+S Investigator Frank Pasquale

Prof Frank Pasquale

Partner Investigator,
Cornell Tech

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Kelly Lewis

Dr Kelly Lewis

Research Fellow,
Monash University

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Christopher O'Neill

Dr Christopher O’Neil

Research Fellow,
Monash University

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Jathan Sadowski

Dr Jathan Sadowski

Research Fellow,
Monash University

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Dr Aaron Snoswell

Dr Aaron Snoswell

Research Fellow,
QUT

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Georgia Van Toorn

Dr Georgia van Toorn

Research Fellow,
UNSW

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Zoe Horn

Zoe Horn

PhD Student,
Western Sydney University

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Lucinda Nelson

Lucinda Nelson

PhD Student,
QUT

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PARTNERS

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Brooklyn Law School

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Data & Society Research Institute (US)

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Office of the Victorian Information Commissioner

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Considerate and Accurate Multi-party Recommender Systems for Constrained Resources

PROJECT SUMMARY

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Considerate and Accurate Multi-party Recommender Systems for Constrained Resources

Focus Areas: News and Media, Transport and Mobility, Health, and Social Services
Research Program: Machines
Status: Active

This project will create a next generation recommender system that enables equitable allocation of constrained resources. The project will produce novel hybrid socio-technical methods and resources to create a Considerate and Accurate REcommender System (CARES), evaluated with social science and behavioural economics lenses.

CARES will transform the sharing economy by delivering systems and methods that improve user and non-user experiences, business efficiency, and corporate social responsibility.

PARTICIPATE

Participate in an online user study on multi-party fair recommendations

We are looking for users of the Spotify music application to complete a brief online study. In the study, you are expected to browse music recommendations and answer a set of questions.

The study is expected to take less than 15 minutes, and you will receive a AU$10 gift card as a thank you.

You will need to have an active Spotify account with at least 6 months of listening history to take part.

To verify your eligibility and participate in the study, please fill out this form.

RESEARCHERS

ADM+S Chief Investigator Mark Sanderson

Prof Mark Sanderson

Lead Investigator,
RMIT University

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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 Flora Salim

Prof Flora Salim

Chief Investigator,
UNSW

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Jeffrey Chan

Dr Jeffrey Chan

Associate Investigator,
RMIT University

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Danula Hettiachchi

Dr Danula Hettiachchi

Research Fellow,
RMIT University

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PARTNERS

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University of Amsterdam

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Decentering ADM: A Review of Automated Decision-Making in the Global South

PROJECT SUMMARY

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Decentering ADM: A Review of Automated Decision-Making in the Global South

Focus Areas: News and Media, Transport and Mobility, Health, and Social Services
Research Program: People
Status: Active

This project is a review of the current state of ADM implementation, practices and visions in different regions in the Global South. It includes an analysis of academic and grey literature, online resources and interviews with key stakeholders in four underrepresented regions (Latin America, Anglophone Africa, South and Southeast Asia and Pacific Island Archipelagos).

Our focus upon decentering ADM works to challenge dominant narratives of the discourse, practice and adoption of ADM across the world.

RESEARCHERS

ADM+S Chief Investigator Heather Horst

Prof Heather Horst

Lead Investigator

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Edgar Gómez-Cruz

Dr Edgar Gómez Cruz

Affiliate

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Adam Sargent

Dr Adam Sargent

Associate Investigator

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PARTNERS

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Australian Red Cross

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