Jerzy Bertrandt serves as a Professor at the Faculty of Security, Logistics and Management within the Military University of Technology, Warsaw. His academic work bridges security studies, logistics engineering, and food safety research. His primary research areas include: Heavy metal contamination analysis (lead, cadmium, chromium) in daily food rations Nutrition security and food safety protocols Supply chain dynamics and alternative diet simulation modeling Security-logistics integration in resource management Professor Bertrandt has published 11 scientific articles with cumulative bibliometric indicators reflecting significant impact: Total Impact Factor 8.494, Total SNIP 1.985, and Total CiteScore 9.7. His research contributes 242 points to the Polish ministerial evaluation score. Contact: jerzy.bertrandt@wat.edu.pl
Dr. Fred Callaway is a computational cognitive scientist currently serving as a postdoctoral researcher at New York University and Harvard University, with prior academic training at Princeton University (PhD) and Cornell University (BA). Starting Fall 2026, he will join Dartmouth College as an Assistant Professor in the Cognitive Science Program, where he will establish a research group focused on understanding human cognition through computational models. His research examines how human cognitive processes emerge from interactions between environmental structure and internal computational constraints. Key contributions include developing metalevel Markov decision process models to explain attentional control, memory systems, and planning mechanisms. His work combines Bayesian modeling, process-tracing methods, and cross-domain empirical validation. PhD in Psychology, Princeton University (Advisor: Thomas Griffiths) B.A. in Psychology and Linguistics, Cornell University (Advisor: Shimon Edelman) Affiliated with NYU and Harvard (2024-2026) Recent publications analyze optimal information sampling, hierarchical planning biases, and metacognitive strategy selection. He is actively recruiting graduate students for his Dartmouth lab, focusing on computational approaches to cognition and decision-making under bounded rationality.
Shachar Kariv is the Benjamin N. Ward Professor of Economics at the University of California, Berkeley, where he has served since 2003. He directs the UC Berkeley Experimental Social Science Laboratory (Xlab) and affiliates with the Choice Lab at NHH Norwegian School of Economics. Educated at Tel Aviv University (B.A.) and New York University (M.A., Ph.D.), Kariv has held visiting roles at Princeton's Institute for Advanced Study, European University Institute, Nuffield College Oxford, Stanford, and Cambridge. Ph.D., Economics, New York University (2003) M.A., Economics, New York University (2000) B.A., Economics, Tel Aviv University (1998) His research spans experimental and behavioral economics, focusing on decision-making under risk and uncertainty, social preferences, network economics, and public goods. He investigates how individuals balance fairness versus self-interest and equality versus efficiency trade-offs, extending to physician behavior, tax policy, and economic development. His work combines traditional economic theory with innovative data collection methods, including graphical interfaces for preference elicitation. Recent publications examine the transferability of economic models across risk domains, policy preferences of government officials, and the relationship between physician altruism and healthcare outcomes. His experimental studies on social learning in networks have theoretical implications for coordination in incomplete information environments, recognized through multiple awards including the Sloan Research Fellowship and UC Berkeley teaching honors. Sloan Research Fellowship (2009-10) UC Berkeley Cheit Award for Excellence in Teaching (2012) NYU Outstanding Teaching Awards (2001, 2002) NYU Outstanding Dissertation Award (2003) Kariv's leadership roles include Department Chair at Berkeley (2014-17, 2021-22) and directing Xlab (2008-2014). He serves on editorial boards of top journals and has received grants from the Alfred P. Sloan Foundation and Center for Equitable Growth. His work at the intersection of theory and experiment continues to shape understanding of economic rationality and social behavior.
Dr. Yoon Lee is an Associate Professor in the Department of Marketing & Management at Columbus State University's College of Business. With expertise spanning Machine Learning, Supply Chain Management, and Cryptocurrency, Dr. Lee's research focuses on solving complex problems through innovative computational approaches. Recent publications highlight a diverse research portfolio: 2025: Predicting Altcoin Prices in Cryptocurrency Bear Market 2024: Drone-based warehouse inventory management 2023: Machine learning solutions for ICU admission prediction during pandemics 2019: Game theory applications in supply chain adaptability Dr. Lee specializes in addressing class imbalance problems in data science through ensemble learning techniques, with applications ranging from financial markets to healthcare operations.
Stephanie Thomas is an Adjunct Assistant Professor in Economics at Curtin University. She holds a Ph.D. from McMaster University (2016), an M.A. from the University of Western Ontario (2010), and a B.A. from McMaster University (2009). Her research spans three primary areas: environment and resource economics , experimental economics , and healthcare systems and health economics . This includes applications in health utility measurement, policy analysis, behavioral modeling, and market dynamics under uncertainty. Selected scholarly activity (2015–2023) reveals trends in health economics, behavioral public finance, and experimental methods. Key journals include Medical Decision Making , PLoS ONE , and Journal of Economic Behavior and Organization , with subfields like spatial econometrics, health policy, and nonparametric modeling.
Richard A. Lambert is the Miller-Sherrerd Professor of Accounting at the Wharton School of the University of Pennsylvania, where he teaches financial reporting courses in the MBA, WEMBA, and doctoral programs. His office is located at Steinberg Hall-Dietrich Hall on the Penn campus in Philadelphia. Previously, he taught at Northwestern University's Kellogg School and Stanford University's Graduate School of Business. Lambert received his Ph.D. from Stanford University in 1982, an MS in Statistics from Stanford in 1980, and a B.E.E. in Electrical Engineering from Georgia Institute of Technology in 1977. His academic journey reflects a strong quantitative foundation that informs his research approach. Professor Lambert's research focuses on how information relates to the cost of capital in firms and how organizations use information for performance evaluation. His work spans theoretical and empirical investigations in financial and managerial accounting, with particular expertise in cost analysis, financial reporting, and incentive compensation plans. He has made significant contributions to understanding information asymmetry, corporate governance mechanisms, and the relationship between accounting information and capital markets. An analysis of Lambert's publications reveals consistent focus on the intersection of accounting information and capital markets, with evolving emphasis from foundational cost of capital research to contemporary corporate governance issues. His work demonstrates methodological rigor across theoretical modeling and empirical analysis, with increasing attention to multidimensional governance structures in recent years. Multiple WEMBA Core Teaching Awards (2007, 2009, 2011, 2013, 2014) Joseph L. McDonald Professor of Accounting (1995-1999) Helen Kardon Moss Anvil Award for Teaching Excellence (1989) Business School Trust Faculty Fellow (1991-1992) Hay Group Faculty Research Fellow (1984-1985) Professor Lambert has advised numerous doctoral students and has been actively involved in accounting doctoral consortia as both resident and visiting faculty. His research has been supported through various fellowships and term professorships throughout his career. He has made significant contributions to executive education programs and serves as a resource for media on accounting and finance topics.
Roger B. Myerson is the David L. Pearson Distinguished Service Professor of Global Conflict Studies in the Harris School of Public Policy and the Griffin Department of Economics at the University of Chicago. He previously taught for 25 years at the Kellogg School of Management at Northwestern University before joining the University of Chicago in 2001. Myerson has made seminal contributions to economics and political science, particularly in game theory where he introduced refinements of Nash's equilibrium concept and developed techniques for analyzing communication among rational agents with different information. Myerson holds a PhD from Harvard University. His research spans multiple disciplines with a focus on game theory, mechanism design, political institutions, state-building, and decision analysis. He is particularly known for introducing fundamental concepts including the revelation principle and the revenue-equivalence theorem in auctions and bargaining. His work bridges theoretical economics with practical applications in political science and public policy. Myerson's publication record shows a clear evolution from foundational work in game theory toward increasingly applied research on state-building, democratic development, and political institutions. His recent work focuses on local politics in democratic state-building, stabilization interventions, and the historical lessons from colonial administration. The interdisciplinary nature of his research connects economics, political science, and history through rigorous game-theoretic analysis. Nobel Memorial Prize in Economic Sciences (2007) Jean-Jacques Laffont Prize (2009) Member of the American Academy of Arts and Sciences Member of the National Academy of Sciences Member of the American Philosophical Society President of the Game Theory Society (2012-2014) President of the Econometric Society (2009) Myerson has advised numerous students and collaborators throughout his career, though specific names are not listed in the available materials. His influential book Game Theory: Analysis of Conflict (1991) has shaped generations of scholars. His more recent work on decision analysis, particularly Probability Models for Economic Decisions (2005, 2019), has practical applications through the Simtools.xlam software he developed for Excel. While Myerson does not appear to lead a specific laboratory, his work has fostered research communities around game theory and political economy. His development of Simtools.xlam has created a practical tool for decision analysis that extends his theoretical contributions into real-world applications for students and practitioners.
Franklin Shaddy is an Assistant Professor of Marketing and Behavioral Decision Making at the UCLA Anderson School of Management. He joined the institution in 2018 after completing his Ph.D. at the University of Chicago Booth School of Business. At UCLA Anderson, he teaches Marketing Management in both full-time and part-time MBA programs, for which he received the Dean George W. Robbins Assistant Professor Teaching Award in 2020. Shaddy's educational background includes a Ph.D. in Marketing from the University of Chicago Booth School of Business (2018), an M.A. in Quantitative Methods in the Social Sciences from Columbia University (2013), and a BBA in Finance with high distinction from the University of Michigan (2009). Before pursuing his academic career, he worked as a management consultant at PricewaterhouseCoopers and as an investment banking analyst at JPMorgan Chase & Co. Professor Shaddy's research focuses on understanding how consumers form judgments and make decisions in the marketplace, with particular emphasis on fairness perceptions , goals and motivation , the psychology of bundling , and consumer impatience . His work investigates why people consider certain pricing practices fair while others seem unjust, how consumers value goals versus the means to achieve them, and why people are willing to wait for things they truly desire. This research has important implications for marketing strategy, pricing decisions, and consumer welfare. Analysis of Professor Shaddy's recent publications reveals a consistent focus on the psychological mechanisms behind consumer fairness judgments and decision-making processes. His work bridges marketing theory with practical business applications, particularly in pricing strategies, resource allocation mechanisms, and consumer response to different marketing tactics. The research demonstrates how seemingly rational economic principles can conflict with consumers' intuitive sense of fairness, leading to unexpected market outcomes. Hillel Einhorn New Investigator Award, Society for Judgment and Decision Making (2023) Best Paper Award, SCP Boutique: Numerical Markers Conference (2021) Dean George W. Robbins Assistant Professor Teaching Award (2020) Eric and "E" Juline Faculty Excellence in Research Award (2022) Named Best 40-Under-40 MBA Professor by Poets&Quants (2023) Professor Shaddy is actively involved in teaching and mentoring MBA students at UCLA Anderson. His research has been published in top-tier journals including the Journal of Consumer Research, Journal of Marketing, Journal of Marketing Research, and Journal of Personality and Social Psychology. He is affiliated with the Anderson Behavioral Lab, which supports research in consumer behavior and decision making. His work has practical implications for businesses seeking to design fairer pricing strategies and marketing approaches that align with consumer psychology.
Stephen Palmer is an Adjunct Professor at the Department of Communication and Psychology , Faculty of Humanities and Social Sciences , Aalborg University, Denmark. He holds multiple professional certifications including Chartered Psychologist (UK), Chartered Biologist (UK), and HCPC Registered Counseling Psychologist (UK). PhD in Stress: Theoretical and Applied Perspectives (London South Bank University, 1997) BA (Hons) in Psychology (Open University, 1991) BA in General Studies (Open University, 1986) His research focuses on coaching psychology , positive psychology , and workplace stress management . With over 123 publications and extensive teaching experience in wellbeing, resilience, and psychotherapy, he has contributed significantly to applied psychology and coaching research. Recent publications examine topics like: Psychometric validation of wellbeing tools (2025) Organizational behavior and millennial retention (2024) Integration of cognitive behavioral therapy in coaching (2023) Notable scientific awards include: Diamond Fellow Award (2023) Outstanding Contribution to Counseling Psychology (2000) As PhD supervisor and Director of the International Center for Coaching Psychology Research , he has shaped academic and professional development across multiple institutions.
Dr. Martin Harris is a Senior Lecturer in the Department of Management and Marketing at the Essex Business School , University of Essex. His academic career spans organizational theory, health and social care partnerships, and sociomaterial approaches to technology in social work. He holds a BA from the University of Cambridge, an MSc from the London School of Economics, and a PhD from the University of London. Qualifications: BA (Cambridge), MSc (LSE), PhD (London) His research focuses on organizational learning , project identity in healthcare partnerships , and leadership dynamics in social movements . He explores how social capital and post-bureaucratic models influence management practices, particularly in Jordan’s telecoms sector and UK health services. Recent publications highlight trends in interdisciplinary collaboration (healthcare, social movements, and digital governance) and critical theory applied to organizational hybridity. Key projects include an AHRC-funded study on mental health inequalities and a 2025 Impact Leave Award for research community development. Scientific Awards : British Academy Innovation Fellowship Advising and Funding : Supervises current PhD student Mark Russell. Past supervisees include Amir Elmi Keshtiban (2018, on leaderless groups) and Atif Sarwar (2015, on IT in social work). Funded by the Economic and Social Research Council (2023), Arts and Humanities Research Council (2018), and University of Essex (2016, 2018, 2022).
Dr. Rasmus Bruckner is a Group Leader and Researcher at the Neurocognitive and Experimental Psychology Department, Freie Universität Berlin, and a Post-doctoral researcher at the University of Hamburg. He co-leads the DFG Research Unit 5389 since 2024. His research focuses on computational models of learning and decision-making under uncertainty, leveraging behavioral and neuroimaging experiments to uncover neural and cognitive mechanisms. Key areas include lifespan learning differences, resource-rational computations, and uncertainty bias effects. Education: PhD, Psychology (Summa cum Laude), Freie Universität Berlin (2015–2020), advised by Hauke Heekeren M.Sc. Psychology, Humboldt University Berlin (2012–2015) B.Sc. Psychology, Radboud University Nijmegen (2008–2011) Research Interests: Computational neuroscience, decision-making under uncertainty, neuroimaging, lifespan learning dynamics, and adaptive learning mechanisms. Recent Article Trends: Recent work emphasizes uncertainty quantification, lifespan learning differences, and neural correlates of prediction errors. For example, his 2025 Psychological Review paper demonstrates lifespan learning differences via resource-rational models, while 2024 studies explore uncertainty-weighted prediction errors and adaptive integration of reward/perceptual signals. Grants & Awards: Co-PI in DFG Research Unit 5389 (since 2024). No named awards listed. Labs & Teams: Leads the Learning Lab at FU Berlin, focusing on simulation-based learning and neural mechanisms of decision-making. Collaborates with institutions like the Max Planck Institute for Human Development and the International Max Planck Research School LIFE.
Dr. Mohammad Salahshour is a Research Fellow at the Department of Collective Behavior, Max Planck Institute of Animal Behavior in Konstanz, Germany. His work focuses on understanding collective behavior, evolutionary game theory, and ecological dynamics across biological and robotic systems. Research interests include the mechanisms behind swarm intelligence, predator-prey interactions, cooperation dynamics in heterogeneous populations, and the interplay between ecological resources and evolutionary processes. He explores these themes through agent-based modeling, game theory frameworks, and interdisciplinary approaches. Recent work highlights contributions to understanding how noise impacts cooperation, the evolution of moral norms, and the adaptability of robot swarms in dynamic environments. His studies often bridge ecological observations with theoretical models to uncover universal principles governing collective systems. Labs/Teams: Active in the Department of Collective Behavior, collaborating on projects involving animal behavior, robotics, and computational ecology.
Yuko Aoyama is Professor of Geography at Clark University, specializing in economic geography, technological innovation, and global industrial organization. Her research examines institutional and comparative dimensions of global capitalism through case studies in electronics, autonomous vehicles, renewable energy, and tourism across the USA, Japan, India, and Spain. She serves as Associate Provost and Dean of Research and Graduate Studies, managing research programs and doctoral training initiatives. She earned her Ph.D. in City and Regional Planning from UC Berkeley and teaches courses including Economic Geography, Globalization, and Digital Geography. Her work investigates how industries maintain distinctiveness amid globalization, with current projects analyzing mobility revolutions in autonomous vehicles and global supplier networks. Publications address supply chain geopolitics, hybrid governance for social innovation, and regional economic development. Recent articles explore semiconductor supply chain controls, frugal innovation, and renewable energy transitions. Methodologically, her work combines spatial analysis with institutional economics to examine technological change and industrial dynamics. Awards: Abe Fellowship (Social Science Research Council) Bellagio Academic Residency (Rockefeller Foundation) She has received grants from NSF and National Geographic, supervising graduate research on technological change and spatial economics. Her leadership includes strategic oversight of university research centers and graduate programs, with initiatives promoting interdisciplinary collaboration in economic geography and global studies.
Yaya Sissoko is a Professor of Economics at Indiana University of Pennsylvania (IUP), affiliated with the Department of Finance and Economics within the Eberly College of Business. He holds a PhD, MS, and BS in Economics and Econometrics from Southern Illinois University-Carbondale and the University of Bamako, Mali, alongside a certification in Entrepreneurship Education from the International Labour Organization. His expertise spans Economic Development, Econometrics, Environmental Economics, and Monetary Economics. Dr. Sissoko has been at IUP since 2005 and has received the 2008 People Award from the African American Cultural Center. He advises the Pan-African Student Association and IUP Soccer Club, and contributes to Pan-African Studies and Asian Studies programs. His research focuses on regional studies, particularly Pennsylvania and neighboring states, and includes over a dozen publications in journals like the African Journal of Accounting, Economics, Finance and Banking Research and International Advances in Economic Research . He serves on editorial boards, including the Pennsylvania Economic Review , and chairs the Pennsylvania Economic Association's Best Undergraduate Paper Contest. His work integrates econometric analysis with policy-relevant studies on topics like public capital investments, startup impacts, and global health crises.
Raphaël LEVY is an Associate Professor of Economics and Decision Sciences at HEC Paris. His research focuses on information economics with applications in industrial organization, corporate finance, political economy, and behavioral economics. He holds a Ph.D. in Economics from Toulouse School of Economics (2009), an M.Sc. in Economics (2005), and a Diplôme de Grande Ecole from HEC Paris (2004). His work explores topics like strategic information disclosure, social learning in dynamic environments, and the economics of academic publishing. He has served as a visiting professor at HEC Paris and held roles at the European University Institute and University of Mannheim. LEVY is an active referee for top journals including the American Economic Journal: Microeconomics and Review of Economic Studies. His recent research analyzes preemption races in markets, stationary social learning models, and open access publishing economics. He co-organized the 2012 Workshop on 'Reputations in Organizations and Markets' and contributes to editorial activities in economic theory and policy domains.
