Tamar Kugler is an Associate Professor of Management and Organizations at the Eller College of Management, University of Arizona, with a specialization in behavioral decision-making. She holds a PhD in Experimental and Social Psychology (2004) from Hebrew University of Jerusalem. PhD in Management Organizational Behavior Laboratory Economic Science Laboratory Center for Trust Studies Behavioral Decision Making Think Tank Econ Affiliated Faculty Her research focuses on interactive decision-making , group decision dynamics , emotional influences on decisions , and trust mechanisms . She has pioneered work on disgust's paradoxical effects on prosocial behavior and developed innovative methods for measuring emotions in digital environments. Her publications span high-impact journals like Social Psychological and Personality Science and Games and Economic Behavior , covering topics from the Braess paradox in traffic networks to asymmetric participation games. Recent work explores guilt's role in ethical behavior and default options in conflict resolution. National Science Foundation grant for emotion research Binational Science Foundation grant with Eyal Ert Eller College Small Grant Program awards Journal editorial board memberships Kugler's methodological expertise includes behavioral experiments, game theory applications, and virtual reality simulations for studying social interactions.
Yuriy Gorodnichenko serves as the Quantedge Presidential Professor in the Department of Economics at the University of California, Berkeley since 2018. His extensive academic affiliations include being a Faculty Research Associate at the National Bureau of Economic Research (2014-present), Research Fellow at the Institute for the Study of Labor (2007-present), International Fellow at the Kiel Institute for the World Economy (2011-present), and Research Consultant for both the European Central Bank (2018-present) and European Investment Bank (2017-present). He also serves as Editor of the Journal of Monetary Economics (2018-present) and Member of the Executive Committee of the Association for Comparative Economic Studies (2019-present). Education: Ph.D., Economics, University of Michigan, 2007 M.A., Statistics, University of Michigan, 2004 M.A., Economics (high honors; valedictorian), Economics Education and Research Consortium at National University of Kyiv-Mohyla Academy, Kiev, Ukraine, 2001 B.A., Economics (honors; valedictorian), National University of Kyiv-Mohyla Academy, Kiev, Ukraine, 1999 Gorodnichenko's research spans multiple subfields of economics with particular emphasis on monetary economics, public finance, international economics, and macroeconomics . His scholarly approach typically combines both macroeconomic and microeconomic data with rigorous theoretical and statistical analyses. His work is organized into five major categories: monetary economics, aggregate implications of informational frictions, business cycles, development/productivity/income differences, and inequality. As an applied macroeconomist, he frequently bridges methodological approaches across different economic subdisciplines. His publication record demonstrates consistent high-impact research across top economics journals including American Economic Review, Journal of Political Economy, and Review of Economic Studies. The trajectory of his work shows increasing focus on the microfoundations of macroeconomic phenomena, particularly how information frictions affect economic behavior and policy transmission mechanisms. His recent publications have increasingly addressed the distributional consequences of monetary policy and the role of cultural factors in economic development. Scientific Awards and Honors: Fellow, Econometric Society (2021) Highly Cited Researcher, Clarivate (2021) Distinguished Teaching Award, Social Science Division, UC Berkeley (2020) World Junior Prize in Monetary Economics and Finance (2018) NSF CAREER award (2012) Sloan Research Fellowship (2013) Multiple #1 rankings among young economists by RePEc (2014-2021) Best paper award, American Economic Journal: Economic Policy (2015) Gorodnichenko has received consistent recognition for his teaching and advising from UC Berkeley's Economics Department, including multiple runner-up positions and a win for the Best Advisor Award (2014). His research has been supported by prestigious grants including the NSF CAREER award and Sloan Research Fellowship. His impact metrics are substantial with over 19,000 citations and an h-index of 54, reflecting significant influence in the economics profession. While the scraped text doesn't specify dedicated research laboratories, Gorodnichenko maintains active research collaborations through his affiliations with major economic research institutions including NBER, IZA, and Kiel Institute. His editorial roles at leading journals position him at the center of contemporary macroeconomic research discourse.
Seth Kaplan is a Professor in the Department of Psychology at George Mason University. His research focuses on employee well-being, team effectiveness, virtual work, and occupational health through projects like NSF-funded emotion regulation interventions and Army Research Institute collaborations on affective forecasting. He directs the KA-Lab, studying team resilience, metaperceptions, and statistical methodologies. Recent publications analyze job boredom, cognitive reappraisal interventions, and personality measurement innovations. His book Crisis-Ready Teams (2024) synthesizes data from high-risk environments. Courses taught include Occupational Health, Organizational Change, Psychometrics, and Multivariate Statistics. Grants: National Science Foundation (Co-PI): Just-in-Time Adaptive Interventions for Emotion Regulation Army Research Institute (PI): Affective Forecasting Errors Recent Presentations: Personality and generative AI use at work (SIOP 2025) Work situation identification via NLP (SIOP 2025) Helicopter helping in teams (SIOP 2025)
Justin Kruger is an Associate Professor of Marketing at the Leonard N. Stern School of Business, New York University, where he joined in 2005. His academic journey began with a B.S. in Psychology from Santa Clara University in 1993, followed by a Ph.D. in Social Psychology from Cornell University in 1999. Professor Kruger's research focuses on everyday judgment and decision making, with specific emphasis on: Overconfidence in planning and self-assessment Myopia in comparative judgment Egocentrism in perspective taking Everyday heuristics Consumer Psychology and Behavior His work has been featured in numerous scholarly journals including the Journal of Consumer Psychology, Journal of Consumer Research, Journal of Experimental Social Psychology, Journal of Personality and Social Psychology, and Psychological Science. His research has also gained significant media attention, appearing in Newsweek, US News & World Report, The New York Times, The Harvard Business Review, as well as NPR and the BBC, with his work cited over 2,500 times (Google Scholar, March 2011). Professor Kruger has received several prestigious awards and grants: National Science Foundation Research Grant (2004) Department of Psychology, University of Illinois Hohenboken Teaching Award (2003) University of Illinois Research Board Research Grant (2000) Department of Psychology, Cornell University Graduate Teaching Award (1998) Incomplete List of Teachers Rated "Excellent" by their Students, University of Illinois (2000) At NYU Stern, Professor Kruger teaches Judgment and Decision Making in undergraduate, MBA, and PhD programs. His research reveals patterns in how people make judgments about themselves and others, with particular focus on the cognitive biases that lead to overconfidence, miscommunication, and poor decision making. His most influential work includes studies on the Dunning-Kruger effect (where incompetent people fail to recognize their incompetence) and egocentrism in communication (particularly in digital contexts like email).
Professor Massimiliano Tani Bertuol is a distinguished academic specializing in economics at UNSW Canberra's School of Business, where he has served as Professor since 2015. His professional affiliations extend beyond UNSW as he is an Associate Investigator/Member at CEPAR; Ageing Futures; uDASH; AI Institute; and Cyber security (IFCYBER). Additionally, he maintains international connections as a Research Fellow at the Institute for the Future of Labor (IZA) in Germany since 2005, an Associate Member at Macquarie University's Centre for Workforce Futures since 2018, and a Research Fellow at the Global Labor Organization (GLO) in Maastricht since 2016. His educational background reflects a strong foundation in economics and business, having earned a PhD in Economics from the Australian National University (2003), a Master of Science in Economics from the London School of Economics (1992), and a Bachelor's degree in Business/Economics from Bocconi University in Milan, Italy (1989). His academic journey has positioned him as a leading researcher in human capital economics with international recognition. Professor Tani Bertuol's research centers on human capital development and its economic implications. His work examines how human capital can be fostered, efficiently transferred internationally through migration, and how it affects productivity, innovation, and economic growth at both firm and national levels. His research spans multiple regions including Australia, Europe, the US, Africa, and China, with particular focus on migration economics, labor market outcomes, and the economic impacts of education and skills. His current research agenda includes non-pecuniary incentives, behavioral/financial decisions in China, occupational licensing, language skills and economic assimilation, AI-human interactions in health contexts, and labor mobility and productivity. Analysis of his recent publications reveals significant interdisciplinary trends bridging economics with public health, environmental science, and technology. His work connects migration dynamics with economic outcomes, examines household financial behaviors through gender lenses, and investigates the complex relationships between environmental factors like air pollution and economic activities including education investment and entrepreneurship. More recent work explores AI applications in health and the economic implications of pandemic responses, demonstrating his ability to address contemporary challenges through rigorous economic analysis. 2023: UNSW ARC Postgraduate Council (Arc PGC) award for excellence in research supervision 2011: Vice-Chancellor Award for Teaching Excellence 2011: Faculty Award for Teaching Excellence for teaching economics Professor Tani Bertuol has successfully supervised 4 PhD students to completion, with 1 submitted dissertation and 5 currently under supervision. His active research program is supported by significant grant funding including an ARC Linkage Project (2023-27) on regional Australia's skills shortages and high-skill refugees' employment ($354,811), an ARC Discovery Project (2019-23) on migrant aging and wellbeing ($478,000), and a NUW Alliance grant (2021-23) on hearing screening and academic outcomes ($73,367). He serves as Associate Editor for Social Indicators Research and Higher Education Research & Development, contributing to scholarly discourse in his fields of expertise. His teaching portfolio includes courses in data analytics, finance, and professional executive education focused on cost-benefit analysis and data communication. He teaches ZBUS2333 Data Analytics and Visualisation, ZBUS8105 Finance and Investment Appraisal, and ZBUS8149 Introduction to Finance, demonstrating his commitment to developing the next generation of economics professionals with both theoretical knowledge and practical skills.
Giovanni Mento is an Associate Professor at the Department of General Psychology, University of Padova. His research focuses on cognitive neuroscience, developmental psychology, and clinical neurology, with a particular emphasis on neural mechanisms underlying cognitive control, emotional processing, and neurodevelopmental disorders. He employs advanced neuroimaging techniques like high-density EEG to investigate topics such as temporal prediction, decision-making in children, and the impact of preterm birth on brain development. His work integrates interdisciplinary approaches, combining machine learning with electrophysiological data analysis to address challenges in epilepsy forecasting and predictive brain activity. Key research areas include implicit learning, motivational contexts influencing cognition, and the application of EEG to study socio-emotional and behavioral disorders in clinical populations. Recent studies explore the effects of yoga-mindfulness interventions on cognitive control in children, dynamic brain states in preschoolers, and methodological rigor in EEG-based machine learning models. His contributions span both theoretical frameworks (e.g., re-examining top-down control models) and applied clinical research (e.g., neonatal intensive care practices). Mento’s articles highlight trends in understanding developmental trajectories, predictive neural mechanisms, and translational applications of neuroscientific findings to real-world contexts like education and healthcare.
James Bonus is an Associate Professor at The Ohio State University in the School of Communication . His work explores childhood media experiences and the cognitive obstacles that impede learning from socioemotional and science-themed media, such as developing story schema and inaccurate reality judgments. He also investigates the effects of nostalgic media on adult audiences, focusing on temporal comparisons between past and present selves and their implications for psychological well-being. Education: PhD in Communication Science from the University of Wisconsin-Madison MA in Communication Science from the University of Wisconsin-Madison BA in Sociology and Journalism from Flagler College James Bonus’s research bridges media psychology and developmental communication , with a dual focus on children’s educational media challenges and adults’ nostalgia-driven experiences. His work addresses how media shapes STEM engagement , language acquisition , and family dynamics , emphasizing interactive and temporal dimensions . Publication Trends: His 2025–2022 work spans educational television , YouTube , and nostalgic entertainment , analyzing their roles in science learning , parent-child interactions , humor mechanisms , and temporal identity . Themes include media literacy , psychological well-being , and developmental communication , often integrating machine learning and bio-sensing methodologies.
Prof. Dr. Markus Strohmaier holds the Chair of Data Science in Economics and Social Sciences at the University of Mannheim's Business School. His research focuses on applying machine learning and data science to understand socio-economic systems and human behavior, leveraging text, relational, and emerging data types. He teaches graduate courses and supervises theses in these areas. Research interests include algorithmic fairness, behavioral analysis via computational methods, and the societal implications of AI. Notable work addresses demographic representativeness in large language models, bias mitigation in rankings, and gender gaps in blockchain adoption. His team is located at L15, 3rd floor – Room 307 in Mannheim, adjacent to the central station. Collaborations span interdisciplinary topics like social media analysis, network dynamics, and computational social science. Key contributions include developing benchmarks for neural network similarity (Resi) and frameworks for measuring algorithmic fairness perceptions (FairCeptron). Research often bridges technical innovation with societal impact, addressing ethical challenges in AI and data-driven decision-making.
Stephen Terry is an Associate Professor of Economics at the University of Michigan's College of Literature, Science, and the Arts. He is also a Research Associate at the National Bureau of Economic Research (NBER) and serves as Co-Editor of the Review of Economics and Statistics. His research focuses on macroeconomics, particularly firm investment and the impact of micro-level frictions on long-term growth and business cycles. Dr. Terry received his PhD in Economics from Stanford University in 2015. Prior to joining the University of Michigan, he served as an Assistant Professor at Boston University. Professor Terry's research spans several key areas in macroeconomics, with a particular emphasis on understanding how micro-level frictions affect macroeconomic outcomes. His work investigates firm investment behavior, economic growth dynamics, and business cycle fluctuations. He employs both theoretical models and empirical analysis to examine how factors like uncertainty, immigration, innovation, and financial constraints shape economic performance at the aggregate level. His research often bridges micro and macroeconomic perspectives to provide deeper insights into economic mechanisms, with special attention to how short-term phenomena can have long-term consequences for economic growth. Analysis of Professor Terry's recent publications reveals a consistent focus on macroeconomic dynamics, particularly the relationship between micro-level frictions and macroeconomic outcomes. His work spans topics including economic uncertainty, firm dynamics, innovation, immigration effects, and business cycle analysis. A notable trend is his examination of how short-term phenomena can have long-term economic consequences, as seen in his research on short-termism and its macroeconomic impact. His collaborative work with leading economists across various institutions demonstrates the interdisciplinary nature of his research. Professor Terry has earned significant recognition in his field: Research Associate, National Bureau of Economic Research (NBER) Co-Editor, Review of Economics and Statistics As an academic advisor, Professor Terry has mentored numerous PhD and Master's students in economics. His research has been supported by various grants that have enabled extensive empirical analysis and theoretical modeling. His work on economic uncertainty, firm dynamics, and growth mechanisms has contributed significantly to our understanding of macroeconomic phenomena. Professor Terry actively collaborates with researchers across institutions, fostering interdisciplinary approaches to economic questions, and frequently participates in academic discussions at major conferences including the NBER Summer Institute. Professor Terry is affiliated with several research groups at the University of Michigan, including the Research Seminar in Quantitative Economics (RSQE). His work connects with various subfields within economics, particularly Macroeconomics, and contributes to ongoing research in economic growth, business cycles, and firm dynamics. His position as Co-Editor of the Review of Economics and Statistics places him at the forefront of scholarly communication in economics.
Frank Zhou is an Assistant Professor of Accounting at the University of Pennsylvania's Wharton School. His research focuses on strategic disclosure dynamics in capital markets and how these interactions influence firm reporting and investment decisions. He serves on the editorial boards of The Accounting Review and Accounting Horizons , and has published in top journals like Management Science and Journal of Accounting Research . Zhou teaches Financial Accounting to MBAs and has received multiple teaching excellence awards. Education: PhD and MBA in Accounting (University of Chicago), MSc in Finance (Tilburg University), BS in Finance (Nankai University). Research Interests: Strategic interactions between managers' disclosures and stakeholder learning, with applications to audit quality, fraud detection, systemic risk, and governance mechanisms. His work bridges accounting theory with empirical analyses of capital market behaviors. Notable contributions include analyzing auditor tenure effects on misreporting, identifying fraud power laws, and investigating cultural impacts on shareholder expropriation. His 2023 paper on financial reporting quality and myopic investments explores how disclosure quality affects long-term corporate investment decisions. Awards : Arnold Zellner Doctoral Prize (2015), Chicago Booth PhD Fellowship (2011–2015), CentER Scholarship (Tilburg University). Teaching : Courses include ACCT1010 (Financial Reporting), ACCT6110 (Financial Accounting), and advanced research seminars (ACCT9400–9430). Active in scholarly communities, Zhou collaborates with institutions globally and has been featured in Knowledge at Wharton discussing how investor learning shapes firm behavior.
Yanliu Huang is a Professor and Department Head of Marketing at LeBow College of Business, Drexel University. She holds a PhD in Marketing from the Wharton School, University of Pennsylvania, and combines field and lab studies to address critical marketing and consumer behavior questions. Education: PhD in Marketing (Wharton School, University of Pennsylvania) Her research focuses on new technology in marketing , in-store decision making , consumer planning , and consumer welfare . She explores how digital interfaces influence planning, the psychology of indulgent choices, and the impact of store layouts on unplanned purchases. Recent publications examine voice-based shopping interactions , emoji usage in communication , and technology’s role in financial decision making . Her work bridges marketing science , neuroscience , and behavioral economics . Scientific Awards: MSI/H. Paul Root Award, Dean’s Excellence in Research Award, ExCITe Research Funding Award, Best Retail Proposal Award (Society for Marketing Advances) Editorial Roles: Associate Editor at Service Science; Editorial Review Board member at Journal of the Academy of Marketing Science, Journal of Consumer Psychology, and Journal of Retailing Dr. Huang’s research has been featured in Harvard Business Review , Wall Street Journal , and The Economist , with grants supporting studies on digital interfaces and consumer welfare.
Professor Gerardo Okhuysen is a faculty member at The Paul Merage School of Business, University of California, Irvine, where he holds the rank of Professor in the Department of Organization and Management. He joined the school in July 2012, bringing expertise in organizational behavior, leadership, and team dynamics. Prior to UCI, he was affiliated with the David Eccles School of Business at the University of Utah. PhD in Industrial Engineering and Engineering Management, Stanford University Professor Okhuysen's research centers on leadership, group and team effectiveness, decision-making under uncertainty, and the role of emotion and context in organizational processes. His work explores how teams navigate ambiguous tasks, manage environmental uncertainty, and achieve success through effective coordination and leadership. He investigates both structural and behavioral aspects of team functioning, including negotiation, trust, information sharing, and emotional dynamics. His recent publications reflect a strong focus on organizational behavior, team performance, and decision science. The articles span topics such as emotion in decision-making, contextual influences on teams, leadership under pressure, and knowledge sharing in distributed settings. These works are grounded in both theoretical development and empirical research, contributing to foundational and applied knowledge in management and organizational psychology. Professor Okhuysen has published in leading journals including Academy of Management Journal , Academy of Management Review , Organization Science , and Organizational Behavior and Human Decision Processes . He teaches courses in Organizational Behavior, team effectiveness, and decision-making. While no formal list of advisees or awards is provided, his scholarly output and academic trajectory suggest active mentorship and recognition within the field. His research has implications for improving leadership and team performance in complex, uncertain environments.
Paul Zarowin is a Professor of Accounting and Chair of the Department of Accounting at the Leonard N. Stern School of Business, New York University, where he has been a faculty member since 1984. He holds a Ph.D. in Business Economics from the University of Chicago and an M.B.A. in Finance from the same institution, along with a B.A. in History from the University of Pennsylvania. Research Interests: Professor Zarowin's research centers on the relationship between accounting information and stock market prices. He investigates how financial disclosures, accounting choices, and regulatory frameworks influence market efficiency and earnings quality. His work spans earnings management, R&D capitalization, financial reporting transparency, and the valuation implications of accounting practices. Publication Trends: His recent publications in leading journals such as The Accounting Review , Journal of Accounting and Economics , and Review of Accounting Studies reflect a consistent focus on empirical accounting research, particularly on how accounting decisions affect market perceptions and firm behavior. Themes include the impact of regulation on R&D reporting, earnings manipulation strategies, and the reliability of financial statements in private versus public firms. Scientific Awards: New York University Presidential Fellowship Peat Marwick National Research Fellowship Glucksman Institute Fellowship Advising and Grants: While specific advisees are not listed, Professor Zarowin has led impactful research supported by prestigious fellowships. His work often involves collaborative projects with scholars across institutions, suggesting active mentorship and research leadership. He teaches Financial Accounting and Financial Reporting and Analysis in undergraduate and MBA programs, and also teaches Accounting for Lawyers at NYU Law School. Labs and Research Teams: Although no formal lab is mentioned, Professor Zarowin is deeply embedded in the academic accounting community through collaborative research and departmental leadership. His work frequently appears in joint studies, indicating strong engagement with research teams and scholarly networks focused on financial reporting and market outcomes.
Katarzyna Wac is a researcher at the University of Geneva affiliated with the Faculty of Economics and Management and the Information Science Institute . Her work bridges Digital Health , Mobile Computing , and Human-Computer Interaction , focusing on leveraging wearable devices, smartphones, and AI for health and quality of life (QoL) quantification. Research Themes: Digital biomarkers for Alzheimer's and migraines, QoL assessment via ubiquitous computing, peer- and self-reported behavioral data, and QoE of mobile applications. Labs: Leads the mQoL Lab , a platform for interactive, mobile, and wearable-based studies. Her recent publications explore Transformer models for health data analysis, social robots in homecare, and ethical frameworks for digital mental health. She has contributed to standards for proxy-reported QoL measures and personalized drug delivery systems in digital health. The multimodal integration of emotional signals and context-aware QoS/QoE provisioning for m-health services are recurring technical themes. Key collaborations include the MobiHealth project and COPD24 , translating future internet technologies into telemonitoring solutions. Her work spans from foundational studies on mobile cognition to applied ambulatory assessment of affect and health risks.
Elisa C. Baek, Ph.D., is an Assistant Professor in the Department of Psychology at the University of Southern California. Her research integrates social psychology, neuroscience, and computational methods to investigate how social connections and neural processes drive information sharing, moral decision-making, and emotion dynamics in digital and real-world networks. Her primary research domains include: Social Psychology (focusing on moral alignment and community dynamics) Neuroscience (using fMRI/EEG to study neural synchrony) Social Network Analysis (developing computational tools for propagation modeling) Information Sharing (examining misinformation spread and neural valuation mechanisms) Analysis of her 2022-2025 publications reveals a cohesive trajectory examining how mentalizing networks and emotion dynamics predict information propagation. Key methodological innovations include multi-modal approaches combining neuroimaging with real-world network data, particularly in moral psychology contexts where value alignment critically shapes sharing behaviors. Scientific Awards: No awards mentioned in source materials. Advising & Grants: Source texts provide no details about student mentorship or grant funding. She directs SocoLab , which develops open-source network analysis tools (evident in GitHub repositories like social_network_analysis_tutorial ) for studying neural correlates of social connection. Current projects focus on moral alignment in misinformation spread and neural mechanisms of loneliness using multi-layer network frameworks.
