Haron Adbaru is an Undergraduate student in Computer Science and Economics at Yale University. He is interested in Data Analysis, Machine Learning, and Simulation work, in addition to the work he has been doing with ZI Agents as an RA for Dr. Shyam Sunder and Dr. Shabnam Mousavi.
Dr. Aruka is an internationally noted professor of economics at Chuo University in Japan, well known for his work with German physicist Jurgen Mimkes on the disciplines of econophysics, economic thermodynamics, the Carnot theory of wealth, and social temperature. These interdisciplinary economics models are also taken collectively as statistical economics, utilizing methods originally intended for physics and biology in the study of economics. Dr. Aruka jointly published with Dr. Mimkes “An Evolutionary Theory of Economic Interaction” in 2006, following their well-received work “Carnot Process of Wealth Distribution” in 2005.
Born in Bunkyo, Tokyo, to Shoji and Shigeko Aruka, Dr. Aruka matriculated Waseda University in Japan to earn a Bachelor’s Degree and Master’s Degree in Economics. He lectured at Chiba University of Commerce in Ichikawa, Japan, and entered Chuo University in 1985. Since joining Chuo he has taught at Chuo university for 32 years, and was appointed professor in 1990. Doctor’s Degree in Economics was given from Kyoto University. Dr. Aruka has also served as editor-in-chief of Evolutionary Economics and Social Complexity Science since 2013, is a coordinating editor with Evolutional and Institutional Economics Review, and is the president of the Japan Association of Evolutionary Economics.
In the civic sphere, Dr. Aruka has been asked to join the Japanese Ministry of Foreign Affairs on the foreign service exam committee, and has served with the Society of Economic Sciences acting on behalf of the council with the Heterogeneous Interacting Agents in Milan. He is a member of Clare Hall and the University of Cambridge Alumni.
Diego Aycinena is an experimental and behavioral economist. His research relies on laboratory and field experiments to understand human behavior and the properties of various institutions. His research has been published in peer-reviewed journals, such as Experimental Economics, Review of Economics and Statistics, Frontiers in Behavioral Neuroscience, and American Economic Journal: Applied Economics –among others.
He is an Associate Professor of Economics at Universidad del Rosario in Bogotá Colombia, and Research Affiliate at the Economic Science Institute at Chapman University. Dr. Aycinena is currently on leave serving as the Alternate Executive Director for the Chair of Central America and Belize at the Inter-American Development Bank. He holds a MA and Ph.D. in Economics from George Mason University. He is a member of the American Economic Association and the Economic Science Association.
Paul Brewer is a freelance Economist and works from his company Economic and Financial Technology Consulting LLC. He earned a BS in Physics and PhD in Social Science from the California Institute of Technology, where he studied Experimental Economics under Charles Plott in the early 1990s. Paul’s research (often co-authored with Plott) has involved both human and ZI/MI populated markets, combinatorial auctions for railroads and sea freight, crowdsourcing, unusual order flows, financial market intervention, market sniping and fairness. Paul is an advocate of open source software, releasing over 50 Github repositories. He is currently developing cloud parallelized ZI/MI software and holds a Professional Cloud Architect certification from Google Cloud (2019-2021).
Simon Carlstedt is a co-founder of fintech company PAMX, a member of business incubator LEAD at Linköping University, Sweden. PAMX is an automated investment service, pioneering the use of complexity economics applied to financial markets. Mr Carlstedt has a financial services background as a proprietary quantitative trader in New York, Hong Kong and Sydney, as well as a front office quantitative analyst in Sydney. He also worked as a research assistant at the Quantitative Finance Research Centre at University of Technology Sydney. He studied at the London School of Economics, Linköping University and University of Technology Sydney.
Dave Cliff is a Professor of Computer Science at the University of Bristol, UK. He has previously held professorial faculty roles at the University of Southampton, UK; and at the MIT AI Lab, Cambridge, USA. He also worked for several years in industry, as a Department Scientist at Hewlett-Packard Labs Europe, and as a Trader and Director on the Foreign Exchange Complex Risk Desk at Deutsche Bank London. He has a BSc in Computer Science from the University of Leeds, and MA and PhD degrees in Cognitive Science from the University of Sussex. In 2013 he presented and co-wrote a prize-winning one-hour science documentary for BBC TV. He is a Fellow of the British Computer Society, and a Fellow of the Royal Society of Arts. He likes to climb mountains.
Fan Gao is a PhD student in Economics at School of Business, University of Leicester. She is interested in Agent-Based Model, Computational Finance, Financial Network, and Data Analysis.
Daniele Giachini is an Assistant Professor at the Institute of Economics and Department EMbeDS of Scuola Superiore Sant'Anna, Pisa, Italy. He got his PhD in Economics from Scuola Superiore Sant'Anna in 2015 with a dissertation on Evolutionary Finance and, from 2015 to 2018, he was research fellow at the same institution. He visited the department of Banking and Finance of University of Zurich and contributed to the European Project DOLFINS. His research interest lies at the intersection between the microeconomics of financial markets and information theory, with a focus on evolutionary finance, market selection, behavioral economics, statistical learning. His contributions have been published in Economic Theory, Quantitative Finance, Journal of Evolutionary Economics, Annals of Finance, Journal of Economic Interaction and Coordination, Physica A
Dan Gode is clinical professor at NYU Stern. Dan received his BS in electronics engineering from the Indian Institute of Technology, an MBA from Indian Institute of Management, and MS and Ph.D. in accounting and information systems from Tepper School of Business, Carnegie Mellon University. Dan’s research interests include design of markets, experimental economics, and financial statement analysis. He teaches courses in accounting, finance, strategy, and business analytics.
John O. Ledyard is the Alan and Lenabelle Davis Professor of Economics and Social Sciences at the California Institute of Technology, where he has been teaching since 1986. Previous positions include Northwestern University, where he was the Sydney G. Harris Professor of Social Science, and Carnegie Mellon University. He holds an AB degree in Mathematics from Wabash College and MS and PhD, both in economics, from Purdue University. At Caltech, he was a Sherman Fairchild Distinguished Scholar (1977-78) and later was the Chairman of the Division of the Humanities and Social Sciences (1992-2002).
Stephan Leitner holds a doctoral degree in the field of Social Sciences and Economics and received the “venia legendi” (Habilitation for Business Economics) in 2018. He is affiliated to the University of Klagenfurt, where he is Associate Professor at the Department of Management Control and Strategic Management. His research mainly applies simulation-based research approaches to questions in the context of management science and the interconnection between organizational research and research on complex systems. Recent work is concerned with rendering neoclassical models into (agent-based) simulation models and the emergence mechanisms to control individual behavior, the emergence of coalitions among human decision-makers, behavioral control and social norms, and organizational learning.
Michael Lin is an undergraduate student in Economics-mathematics and Physics at Yale University. He is interested in agent-based models and game theory, and is currently working on Market Networks as an RA for Dr. Shyam Sunder and Dr. Shabnam Mousavi.
Kevin McCabe received his PhD from the University of Pennsylvania in 1985. He is professor of economics and law at George Mason University and is affiliated with the Interdisciplinary Center for Economic Science (ICES), the Krasnow Institute of Advanced Study, the Mercatus Center, and the Center for the Study of Neuroeconomics. Professor McCabe serves as a distinguished research scholar, for the International Foundation for Research in Experimental Economics (IFREE).
Shabnam Mousavi is Scientist at the Max Planck Institute for Human Development in Berlin. Holding a PhD in Economics as well as a PhD in Statistics from Virginia Tech, she is an interdisciplinary scientist exploring the many aspects of human choice behaviour. She is president of the Society for the Advancement of Behavioral Economics (SABE). Her academic work has appeared in outstanding journals across various disciplines, including Brain and Behavioral Science, Business Research and Economic Methodology. Furthermore, she is co-author/co-editor of the Routledge Handbook of Behavioral Economics (2017), Behavioral Finance Revolution (2018), and A Fast and Frugal Finance (2019). Currently, she is writing her book entitled Fast and Frugal Decision Making elaborating on the implications and applications of the behavioral and cognitive sciences in policy making, as well as individual and collective choice processes in business and other organizations.
Rosemarie Nagel is an ICREA Research Professor of experimental, behavioral, and neuroeconomics at the Universitat Pompeu Fabra and the Barcelona Graduate School of Economics, and is the Director of BESlab-UPF. Nagel gained her Dr. rer. pol. in Economics in 1994 from the University of Bonn under Reinhard Selten. In 1994-95 she was a postdoctoral fellow with Alvin Roth, at the University Pittsburgh. Her research builds bridges between theory and human behavior with models and designs using laboratory, field, and neuroscientific tools and data. Nagel originated studying bounded rationality via a step-level reasoning model (also called level-k), first developed with Keynesian Beauty Contest experiments. Her approaches have been applied in microeconomics, macroeconomics and finance, neuroeconomics, management and business research, psychology, and computer science. Her publications are in leading journals in economics, business, psychology, natural sciences. Journals include American Economic Review, Econometrica, Proceedings of the National Academy of Sciences (PNAS), Nature Human Behavior, Strategic Management Journal. Popular press coverage includes Financial Times and Spektrum der Wissenschaft.
Heinrich Nax is a behavioral game theorist, educated in economics and philosophy (logic & scientific method), currently SNF Assistant Professor at UZH and Privatdozent at ETH. Previously at London School of Economics, Oxford, École normale sup (Paris School of Economics), Johns Hopkins and Yale (Cowles Foundation), my research interests include (Experimental/Behavioral) Market Design and Learning in Games applied to Markets and Collective Goods.
Elizaveta Nekrasova obtained a Master’s degree in Quantitative Economics and Finance from the University of Luxembourg (joint programme with the Higher School of Economics, Moscow) in 2020. Currently Elizaveta is a Ph.D. researcher at the University of Luxembourg under the supervision of professor Tibor Neugebauer. Her research interests include behavioral finance, market manipulation, market microstructure and algorithmic trading.
Tibor Neugebauer is a Full Professor of the Department of Finance at the University of Luxembourg (Luxembourg). He received his first degree in 1994 from University of Bonn (Germany) and earned his doctoral degree in 2000 from University of Valencia (Spain). Before joining University of Luxembourg, he held positions at University of York (UK), University of Kiel (Germany) and University of Hannover (Germany). He works in experimental economics and finance. His current research interests include expectation formation in markets and algorithmic trading. He is involved in the ESRC/FNR funded research project “Experimental Assessment of the Societal Impact of Algorithmic Traders in Asset Markets”.
Matteo Ottaviani is a researcher of a joint research project between the National Research Council of Rome and Ca’ Foscari University of Venice. The completion of his PhD in Applied Mathematics at Scuola Normale Superiore of Pisa is expected by the end of this year. The core investigated concepts of his PhD research project are the role of individual boundedly rational expectations in economic models and the strategies carried out to adaptively update them. The latter have been studied from three different perspectives by means of agent-based modeling: informational asymmetries among agents in a pure exchange economy; misspecified models employed by Bayesian and sub-Bayesian agents in a security market economy; robust methods for decision making in stylized financial markets. Lately, he has been carrying on a project at Max Planck Institute for Human Development of Berlin about the impact of A/B testing on user autonomy in online environments, how it scales up to collective behavior and the viability of nudging and boosting interventions.
Paolo Pellizzari is professor of Mathematics for Economics and Social Sciences at the Dept. of Economics of Ca' Foscari University of Venice.
His research topics and interests include Monte Carlo methods (with financial applications), modelization of complex systems, agent-based models (ABMs) and computational economics/finance.
Shirsendu Podder is currently a PhD student at University College London (UCL), UK under the supervision of Dr Simone Righi at the Department of Economics of Ca'Foscari University, Venice. He has a background in Mathematics with Music and Computational Finance at the University of Surrey and UCL respectively. His research focuses on using evolutionary models and game theory to study how different reputation-based social norms affect how and why people cooperate.
Simone Righi is Senior Assistant Professor of Mathematical methods at the Department of Economics of Ca'Foscari University (Venice).
Dr. Righi is honorary lecturer at the University College London (Department of Computer Science, Financial Computing and Analytics group), as well as a research associate of the London School of Economics - Systemic Risk Center and of the UCL Center for Blockchain Technologies. He received his Ph.D at the University of Namur (Belgium). Before his current appointment, he worked at the Hungarian Academy of Sciences, at the University of Modena and Reggio Emilia, at the University of Bologna and and at University College London.
Dr. Righi uses evolutionary models, game theory and experimental methods to study how and why people, companies and institutions cooperate and how they interact on social networks.
Aad Ruiter is a freelance tutorial teacher, and independent researcher, affiliated with the University of Amsterdam.
His research focuses on coordination between fallible agents, using agent-based models for secondary analyses of experimental data. The aim is to show that “social intelligence” can reduce the extent to which we model human agents as cognitively intelligent.
Dr. Ruiter worked for thirty years at ING bank. In 2014, he left the bank to write a PhD thesis, which was completed in 2018.
Shyam Sunder is the James L. Frank Professor of Accounting, Economics, and Finance at the Yale School of Management and Professor in the Department of Economics. He is a pioneer in the fields of experimental finance and experimental macroeconomics. Dr. Sunder has won many awards for his research that includes ten books and more than 200 articles in the leading journals of accounting, economics and finance, as well as in popular media. He is a past president of the American Accounting Association, former director of the Millstein Center for Corporate Governance and Performance at Yale, honorary research director of Great Lakes Institute of Management in Chennai, and distinguished fellow of the Center for Study of Science and Technology Policy in Bengaluru.
Friederike Wall is Full Professor and Head of the Department of Management Control and Strategic Management at the University of Klagenfurt, Austria. She earned both her Diploma for Business Economics in 1988 and her Doctoral degree in 1991 at the Georg-August-Universitaet Goettingen, Germany. In 1996 she received the “venia legendi” (Habilitation for Business Economics) from the University of Hamburg, Germany. After being a scientific Project Referent for Accounting in the context of the implementation of SAP R/3 at Max-Planck Society, Munich, Germany she became Full Professor of Business Administration, esp. Controlling and Information Management at the Universitaet Witten/Herdecke, Germany. Friederike Wall’s scientific work focusses on Agent-based Computational Economics applied to organizational science. Her research activities are directed towards distributed decision-making and coordination in organizations, management control systems and the quality of the information employed in decision-making. Her research approach is defined by agent-based simulation methods and agent-based technologies.
Brett Williams is a doctoral candidate in economics at University of California, Santa Cruz. His main areas of research are market design and microstructure, using experiments, simulations and theory as mediums. He also has research interests, and current projects, in the topics of agent-based modelling, risk elicitation and stochastic dominance, and queuing.