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Eric Eisenstat received his Ph.D. in 2007 from the University of California, Irvine. His current research focuses on Bayesian time-series econometrics, particularly structural inference from multivariate models, but he also works on model uncertainty/averaging and shrinkage estimation in big data settings. Alongside publishing in top academic journals, Eric also routinely provides consulting services to policy institutions and private organisations. His recent consulting work has focused on developing and implementing marketing mix models in big data settings.

Fellow of the Academy of Social Science in Australia, Life member of Clare Hall College, Cambridge, Past President of the International J.A. Schumpeter Society. Current research interests include: the diffusion of innovations with special reference to the emergence of low carbon emission power generation technologies; modelling evolutionary economic growth with special reference to the role of energy; modelling the impact of climate change on the economy with a specific focus on the power generation sector; modelling the macro-economy as a complex adaptive system; applying self-organisation theory to statistical and economic modelling in the presence of structural change; the re-design of national power grids to accommodate renewable energy generation. He currently serves on the following editorial boards: Journal of Evolutionary Economics, Review of Political Economy, Journal of Bio-economics, Journal of Institutional Economics and, previously, the Scottish Journal of Political Economy and Economic Analysis and Policy. He is Director of the Energy Economics and Management Group at UQ and Focal Leader, Renewable Energy at the Global Change Institute. Previously, he was: Head of the School of Economics at UQ (1999-2008); Deputy Director of the ARC Centre for Complex Systems (2006-2008); Member of the Social, Behavioural and Economic Panel, ARC College of Experts (2005-2007); Member of the Expert Panel appointed by the Federal Minister for Industry and Innovation, Senator Kim Carr, to review the National Innovation System (2008).

Dr Anthony Halog: Expert in Circular Economy, Life Cycle Thinking, and Sustainable Systems Engineering

Dr Anthony Halog leads interdisciplinary research on circular economy transitions, life cycle assessment, and AI-enabled sustainable systems at The University of Queensland. With a mission to co-design decarbonised and circular solutions for complex global challenges, his work advances the UN Sustainable Development Goals (SDGs) and supports UQ’s strategic priorities of research translation, education transformation, and community enrichment.

His research spans bioeconomy, green hydrogen, waste-to-energy, and climate policy systems, with over 130 scholarly outputs and fellowships from OECD, DAAD, JSPS, and NREL. He actively secures research funding, supervises HDR and EMCR researchers, and partners with industry, government, and international universities to foster innovation and impact.

Dr Halog teaches across undergraduate and postgraduate programs on sustainable consumption, industrial ecology, and life cycle thinking. His teaching is informed by real-world research and student-centred pedagogies, with consistently strong SECaT feedback. He mentors diverse cohorts and champions experiential, inclusive, and future-focused education.

He serves on international panels and university committees, contributing to UQ’s mission through leadership, policy advice, and community engagement. Dr Halog exemplifies UQ’s values of excellence, sustainability, and global citizenship.

Keywords: Circular Economy, Life Cycle Assessment, Green Hydrogen, Sustainable Systems, AI for Sustainability, Industrial Ecology, ESG, Bioeconomy, Systems Thinking, Net Zero

Dr. Kenan Kalaycı is an experimental economist whose research focus is on behavioural economics and industrial organization. Kenan received his PhD in Economics from Tilburg University and is a Senior Lecturer in Economics at the University of Queensland. Kenan has been an Australian Research Council Discovery Early Career Research Fellow between 2016-208 and a visiting scholar at the University of Oxford in 2017-2018. Kenan's main research has been in the growing field of behavioural industrial organization, which is the study of markets incorporating insights from psychology and other related disciplines. Kenan has been one of the pioneers in the empirical study of this field, developing experimental methodology to study issues of spurious product differentiation and price discrimination in markets. His research has been published in the International Journal of Industrial Organisation, Journal of Economic Behaviour and Organisation, and Experimental Economics.

Rand Low is Honorary Associate Professor at the University of Queensland and an Associate Professor of Quantitative Finance at Bond Business School.

Assoc. Professor Rand Low’s research areas are in asset and investments management, specifically correlation/dependence modelling, portfolio optimization, risk management, systematic trading strategies and commodities investing strategies. His work has been published in leading academic and industry journals such as Journal of Banking & Finance, Quantitative Finance, Journal of Empirical Finance, Journal of Investing, Journal of Commodities Markets, Resource Policy, and Journal of Risk. Rand is an avid supporter of Open Access Journals and multi-disciplinary research. He is an Editor of the Special Issue of Mathematics: Mathematical Models and Applications in Finance (Impact Factor: 2.6; Q1 Journal Ranking)

Prior to his PhD studies, Assoc Prof. Professor Low worked in control systems engineering and management roles for Honeywell for landmark engineering projects such as GOMA, SLQ, Brisbane Square, Mater Mothers' Hospital, St Andrews Hospital, and more where he achieved the Chartered Engineer designation from Engineers Australia. During his PhD studies, he won the GSITA Award and 3MT competitions. Upon completing his PhD, he received the Dean's Award for Research Higher Degree Excellence, a research fellowship on portfolio optimization & risk management techniques for financial crises and an Australia Awards - Endeavour fellow. He has been a visiting research fellow at the New York University - Stern School of Business, and an Australian Institute of Business and Economis (AIBE) Scholar He has also had Visiting Research Fellow appointments at the University of Strathclyde, Glasgow, UK and Sunway University, Kuala Lumpur, Malaysia.

Assoc. Prof Low research expertise has allowed him to successfully transition into industry as he has worked at the global headquarters of Bank of America Merrill Lynch and BlackRock in New York City. He led teams of quantitative researchers in building mathematical models for market/credit/operational risk, securities lending, structured products, asset-backed securities, and portfolio management. He has also defended quantitative model development practices on behalf of these institutions to US regulators such as the Federal Reserve (FED) and the Office of the Comptroller of Currency (OCC). He is worked on quantiative model stress-testing, model risk management practices, and model risk governance for major global financial institutions.

Assoc. Professor Low’s is interested in applying statistical and machine learning techniques in automating business processes and investments management in areas such as corporate credit ratings, robo-advisors, digital assets (i.e., cryptocurrencies, blockchain), commodities, and systematic active investment strategies.

Chris O’Donnell obtained his PhD from the University of Sydney. He is an Associate Editor of the Journal of Productivity Analysis, an Associate Editor of Empirical Economics, and a Distinguished Fellow of the Australian Agricultural and Resource Economics Society. His current research is focused on economic and statistical methods for measuring and explaining productivity and efficiency change. He has authored or co-authored three books on this topic. His work has been published in leading economics and econometrics journals, including the American Journal of Agricultural Economics, the Journal of Econometrics, the Journal of Applied Econometrics, Econometric Reviews and the European Journal of Operational Research. He has provided in-house training and/or been a consultant for organisations including the World Bank, the Asian Productivity Organisation, the International Rice Research Institute, the Australian Energy Regulator, the New South Wales Independent Pricing and Regulatory Tribunal, and the Australian Independent Hospital Pricing Authority.

Dr Anton Pak is a Senior Research Fellow in the Centre for the Business and Economics of Health, The University of Queensland. Anton is an applied economist by training and his research interests focus on the behaviour of patients and their choices, utilisation of emergency department services, waiting time modelling, and the economics of digital health. Anton examines empirical questions by utilising health economics theory and concepts and by analysing large panel and cross-sectional datasets (including linked data) using classical econometrics techniques, as well as machine learning methods.

Anton is currently co-leading an Emergency Medicine Foundation funded project “ED waiting time predictions in real-time: development of data acquisition system and performance evaluation of advanced statistical models.”, which is being undertaken in partnership with Princess Alexandra Hospital. Anton has worked extensively on interdisciplinary research with statisticians, mathematical modellers, clinicians, epidemiologists, and public health experts.

Prior to joining the Centre, Anton worked as a Research Fellow in Applied Economics and Data Scientist at James Cook University. His previous experience also includes working as a management consultant and university lecturer.

Anton has a PhD (Economics) from The University of Queensland.

Research interests include: applied econometrics, time series econometrics, state-space models and spatial time series models. Has published in journals that include the Journal of Econometrics, Oxford Bulletin of Economics and Statistics, Journal of Applied Econometrics.

Current research projects are in: spatial time series models with applications to modelling housing and land prices, transport demand, international comparisons and sectoral productivity

Rodney Strachan received his PhD from Monash University in 2000. His research focuses on Bayesian analysis, econometric theory, time series analysis, inference in time varying parameter and time varying dimension models, identification in reduced rank models and invariance. His current work is looking at specification and computation of large dimensional macroeconometric time series models. Rodney came to UQ from the Australian National University where he was a professor and the deputy head of the Research School of Economics.