Lars Hall is a Researcher in Cognitive Science at the Department of Philosophy, Lund University. His work focuses on choice blindness, decision-making processes, and the integration of sensory feedback with cognitive self-monitoring. He is affiliated with the Choice Blindness Lab (http://www.lucs.lu.se/choice-blindness-group/), exploring how people fail to notice discrepancies between their intentions and outcomes. Research Interests: Choice Blindness and Introspection Sensory Feedback Mechanisms Decision Dynamics Social Judgment and Interaction Neuroscience of Perception Philosophy of Mind and Cognition Articles Trends: Hall's recent work (2020-2024) addresses how manipulated feedback influences attitudes, decisions, and emotional states. Key themes include false feedback's impact on voter behavior, intergroup dynamics, and neurotechnology implications. His studies often use experimental paradigms like real-time speech manipulation and gaze tracking. Awards: None explicitly listed in provided texts. Advising & Grants: Supervised PhD projects include neurocognitive basis of confabulation, semantic self-monitoring in speech, and eye movement intention studies. Active in Lund University's VR Lab and Cognition & Philosophy initiatives. Labs/Teams: Principal investigator at the Choice Blindness Lab, collaborating with interdisciplinary teams in neuroscience, psychology, and philosophy.
Dr. Steffen Eger is a professor at the Technical University of Darmstadt, focusing on Natural Language Processing, Machine Translation, and Computational Linguistics. His work spans both theoretical and applied aspects of NLP, including adversarial robustness, evaluation metrics, and creative text generation. Key Contributions: • Pioneering research in LLM-based evaluation metrics • Development of efficient translation quality frameworks • Analysis of social solidarity in historical discourse • Exploration of poetic creativity through neural models His recent publications demonstrate expertise in: - Human-Aware Translation Evaluation - Summarization of Historical Texts - Adversarial Defense Mechanisms - Explainable AI for Generation Metrics While no explicit awards or student supervision details are provided, his collaborative work appears across major NLP venues like ACL, EMNLP, and COLING. His research frequently intersects with human-centric NLP tasks, emphasizing reproducibility and robustness in system design.
Asen Ivanov is a Professor in the School of Economics and Finance at Queen Mary University of London. He holds a PhD from The Ohio State University (2007) and specializes in public economics and behavioral economics. His work focuses on taxation policy, social choice theory, and experimental analysis of decision-making under uncertainty. Education: PhD in Economics, The Ohio State University, 2007 Research Interests: Public policy design and optimal taxation Behavioral biases in economic decisions Experimental methods in social choice and game theory His recent work addresses societal disagreements over tax systems and explores dynamic inconsistency in strategic environments. Professional Activities: Maintains an active research agenda with over 15 peer-reviewed publications Teaches advanced courses in public economics and behavioral decision theory Office: GC422 | Email: a.ivanov@qmul.ac.uk
Ali Ozkes is an Associate Professor at Université Côte d'Azur , affiliated with the Groupe de Recherche en Droit, Economie, Gestion (GREDEG) , the Pole History of Ideas, Cognition and Complexity (PHICC) , and the Team MED (Modelization Experimentation Decisions) . His work bridges economics, behavioral science, and AI ethics, with a focus on understanding strategic decision-making in complex systems. Key research areas include: Behavioral Game Theory Experimental Economics Social Choice Theory Text Mining AI Ethics and Behavior Metascience His recent publications highlight trends in AI-human ethical equivalence, collective action solutions, and reproducibility in management science. Notably, he explores how generative AI impacts public sector ethics and develops frameworks for analyzing consensus in nonprofit leadership teams. Ali Ozkes contributes to interdisciplinary research through collaborations in the Modelization Experimentation Decisions (MED) team, integrating computational methods with social science to address real-world challenges.
Diogo Martinho is an Adjunct Professor at the Instituto Superior de Engenharia do Porto, part of Instituto Politécnico do Porto, where he teaches in the BSc in Informatics Engineering, MSc in Artificial Intelligence Engineering, and MSc in Biomedic Engineering programs. He is an integrated member of the Research Group on Intelligent Engineering and Computing for Advanced Innovation and Development (GECAD). He obtained his PhD in Informatics Engineering (2023) from Universidad de Salamanca, MSc in Informatics Engineering (2015), and BSc in Informatics Engineering (2013) from Instituto Politécnico do Porto. His research focuses on Artificial Intelligence applications in healthcare and industry , with emphasis on personalized elderly care, chronic disease management, and collaborative decision systems. Core domains include: Multi-agent systems for health coaching Gamified behavioral interventions Ubiquitous decision support frameworks Machine learning for clinical classification His publications demonstrate strong emphasis on hybrid AI approaches combining cognitive agents, argumentation systems, and behavioral modeling. Recent work prioritizes practical implementations in diabetes management, respiratory health, and elderly wellbeing. Awards and honors include: Two PAPRE2024 grants for high-impact publications Best Paper Award (2022) Scientific Excellence Award (2015) Academic Merit Scholarship (2014) He has supervised/co-supervised 1 PhD thesis, 8 MSc dissertations, and 13 BSc projects. As Principal Investigator for EXPAI and ELFMo projects, and researcher in 11 international initiatives (e.g., FoodFriend, AIRDOC, PHE), he secured funding from ITEA, EU Horizon 2020, and Erasmus+. He coordinates GECAD's healthcare AI research and chairs the AItHeC conference session.
Prof. Martijn van den Assem is a Full Professor of Finance at Vrije Universiteit Amsterdam (VU), specializing in judgment and decision making within financial and behavioral economics. He is affiliated with the Tinbergen Institute as a Research Fellow and serves as an Associate Editor for the Journal of Economic Behavior & Organization . His research uses unconventional data sources like TV game shows, lotteries, and sports to analyze economic behavior. He teaches across BSc, MSc, PhD, and post-experience programs, including courses on Behavioral Finance and Judgment & Decision Making. His awards include a Vidi Grant (2016) for research on 'Game show economics' and teaching accolades such as the MSc Finance Lecturer of the Year (2018). Van den Assem co-founded the biennial Research in Behavioral Finance Conference (RBFC) and has organized multiple editions. His ancillary activities include guest lectures at institutions like Laurea University of Applied Sciences and Antwerp Management School. Key research themes include high-stakes decision making, cooperative behavior in games, and the application of experimental methods to real-world scenarios. His work bridges empirical finance with behavioral insights, often leveraging natural experiments for rigorous analysis.
Leif Nelson is a Professor at the University of California, Berkeley, affiliated with both the Haas School of Business and the Department of Psychology. His research focuses on social psychology, judgment and decision-making processes, and improving scientific practices in experimental psychology. He emphasizes replicability, methodological rigor, and addressing biases in research. His work spans experimental designs in consumer behavior, prosocial spending, and cognitive biases. Nelson has contributed to debates on replication in social science, publishing extensively on topics like p-curve analysis, specification curve analysis, and combating publication bias. Recent publications highlight his commitment to validating research tools, auditing empirical studies, and advancing transparency in academic publishing. He has no listed advisees but collaborates widely on replication projects and methodological innovations. Professional contact information includes the Department of Psychology administrative email (psychadmin@berkeley.edu) for non-clinical inquiries. His research aligns with UC Berkeley’s interdisciplinary approach to behavioral science and policy-relevant inquiry.
Dr. Sinan Gonul is a Senior Lecturer in the Department of Business Administration at Northumbria University. Previously, he served as an Associate Professor at Middle East Technical University (METU) in Ankara, Turkey. His academic journey includes a PhD in Decision Science & Operations Management (2007), an MBA in Business Administration (2001), and a BSc in Electrical and Electronics Engineering (1999). He also conducted postdoctoral research at Glasgow Caledonian University (2009–2010). PhD: Business Administration (Decision Science & Operations Management), 2007 MBA: Business Administration, 2001 BSc: Electrical and Electronics Engineering, 1999 Fellow of The Higher Education Academy (FHEA), 2019 Dr. Gonul’s research focuses on judgmental forecasting, decision support systems, behavioral operations management, and cybersecurity resilience. He explores how individuals and organizations make decisions under uncertainty, particularly in financial and operational contexts. His work bridges cognitive psychology with quantitative modeling, emphasizing the interplay between human judgment and algorithmic predictions. His recent publications analyze consumer behavior in digital environments, cybersecurity tool adoption in mobile banking, and behavioral responses to forecasting scenarios. He has supervised PhD candidates such as Uzonyibo Okoye (Consumer Behavior Analytics, 2024), Syeda Batool (Cyberbullying Mitigation, 2022), and Irfan Riasat (Cybersecurity Resilience, 2022). His methodological expertise spans experimental design, multicriteria decision-making, and behavioral experiments on information uncertainty. Fellow of The Higher Education Academy (FHEA), 2019 Dr. Gonul teaches undergraduate and graduate courses in Management Science, Quantitative Decision-Making, Judgment & Decision-Making, and Business Forecasting. His research has appeared in journals like Journal of Behavioral Decision Making , European Journal of Operational Research , and Production and Operations Management .
Ulla Ahonen-Jonnarth is an Associate Professor at the University of Gävle, specializing in decision analysis, risk management, and environmental policy. Her research focuses on multi-criteria decision models, geospatial decision frameworks, and human judgment in complex trade-offs. She has contributed to understanding stakeholder collaboration strategies between universities and society, and the psychological aspects of balancing environmental and personal gains/losses. Her work spans experimental psychology (e.g., anchoring effects in judgments) to geospatial visualization tools for decision support. She has published extensively in journals like Renewable Energy Focus, Journal of Multi-Criteria Decision Analysis, and ISPRS International Journal of Geo-Information. Her earlier research (2000s) explored forest ecology, mycorrhizal symbiosis, and plant responses to heavy metals. No scientific awards or student advisees are explicitly listed in the provided materials. Her professional activities include collaborative projects with institutions like the Swedish University of Agricultural Sciences and contributions to forest management simulations.
Klaus Nehring is Professor of Economics at UC Davis specializing in decision theory and social choice. His work integrates epistemic game theory with normative welfare economics through axiomatic approaches. Core contributions: Axiomatization of diversity measurement in ecological economics Strategy-proof voting mechanisms on single-peaked domains Foundations for rational choice under ambiguous beliefs Common prior frameworks under incomplete information Current research examines Bayesian group decision-making and non-probabilistic representations of uncertainty. Teaches graduate courses in decision theory and mechanism design.
Arthur Paul Pedersen is a Professor at The City University of New York (CUNY) and a Senior Researcher at the Center for Adaptive Rationality at the Max Planck Institute for Human Development. He holds a Ph.D. in Logic, Computation, and Methodology from Carnegie Mellon University and dual B.A. degrees in Mathematics and Philosophy from the University of Wisconsin-Madison. Institutions: CUNY Graduate Center, Max Planck Institute for Human Development, LMU Munich Fields: Decision Theory, Game Theory, Probability Theory, Formal Epistemology, Artificial Intelligence His research focuses on judgment and decision-making under uncertainty, integrating perspectives from mathematics, economics, computer science, and philosophy. He specializes in non-Archimedean probability, lexicographic utility representations, and formal epistemology. Pedersen explores how qualitative coherence criteria can underpin quantitative models without assuming completeness or transitivity. He has delivered talks at major conferences like the International Conference on Game Theory (2024) and the Biennial Gordon Research Conference on Forensic Analysis (2025). His work addresses foundational issues in Bayesian aggregation, social choice theory, and belief revision, with applications to economics and cognitive science. Service roles include editorial board membership for Minds and Machines , grant reviewing for the European Research Council, and organizing conferences on logic, games, and imprecise probability. He mentors undergraduate and graduate researchers through programs like the NSF Research Experiences for Undergraduates.
James V Carnahan is an Adjunct Professor (10 % appointment) in the Department of Industrial and Enterprise Systems Engineering at the University of Illinois at Urbana-Champaign, a role he has held since December 2004. Previously he served as Lecturer and Adjunct Professor (50 %), Coordinator of Project Design Activity (100 %), Visiting Assistant Dean in the College of Engineering, and Assistant Professor in what was then the Department of General Engineering. Education Ph.D., Engineering Sciences, Purdue University (1973) M.S., Engineering Sciences, Purdue University (1970) B.S., Engineering Sciences, Purdue University (1968) Research Interests Carnahan’s scholarship is notable for its breadth. Core themes include probabilistic modeling and maximum-likelihood estimation—especially for Beta distributions—reliability engineering, and life-cycle cost analysis of infrastructure systems. He has applied these tools to pavement management, underground heat distribution networks, bulk-material conveyor design, and vehicular-accident injury analysis. Additional curiosity-driven projects span human factors in speed/distance perception, pedestrian-flow congestion, optimization of flavor manufacturing, and even statistical analysis of golf-putting performance. Publications & Trends Across more than three decades Carnahan has published extensively in journals such as Management Science , Accident Analysis & Prevention , ASCE Journal of Transportation Engineering , Decision Sciences , and ASME Journal of Mechanical Design . Early work focused on transportation safety and pavement maintenance optimization; mid-career contributions advanced fuzzy multi-attribute decision making and environmentally conscious design; recent studies shift toward medical and sports analytics, illustrating an evolving interdisciplinary trajectory grounded in rigorous statistical methods. Scientific Awards & Recognition Engineering Council (Accenture) Award for Excellence in Advising, UIUC College of Engineering (2001, 2002) Anderson Consulting Award for Excellence in Advising, UIUC College of Engineering (1990–93, 1999–2000) Department of General Engineering Outstanding Professor (1986, 1991, 2003) Finalist, All-Campus Award for Excellence in Undergraduate Teaching (1990) Everitt Award for Undergraduate Engineering Teaching Excellence (1989) Advising, Grants & Senior Design Leadership Carnahan has coordinated large-scale multidisciplinary senior design projects since 1993, guiding student teams working with industry partners such as Harger International, NTN-Bower, Marmon Industries, Magnetrol, and FONA International. These efforts have garnered multiple James F. Lincoln Engineering Awards and continuous corporate sponsorship, providing students with authentic design-build experiences in reliability, process optimization, and product redesign. Laboratory & Consulting Activity While no dedicated lab is explicitly named, Carnahan maintains active consulting practices through Carnahan Engineering and Surveying (principal, 1979-1983) and ongoing advisory roles with The PERTAN Group, FONA International, Ruhl Forensic, Inc., and the U.S. Army Construction Engineering Research Laboratory, focusing on reliability, forensic accident investigation, and energy-system life-cycle analysis.
Dr. Mike DeKay is an Associate Professor in Decision Psychology and Quantitative Psychology at The Ohio State University's Department of Psychology, within the College of Arts and Sciences. He holds a BS in Chemistry from Caltech (1985), MS in Chemistry from Cornell (1988), and MA/PhD in Social Psychology from the University of Colorado (1992/1994). His research focuses on judgment and decision-making processes, particularly framing effects, risk perception, and energy consumption behavior. Notable achievements include the 2006 Martcia Wade Teaching Award and contributions to metastudy methodologies. His work bridges cognitive psychology, behavioral economics, and environmental policy, with a focus on improving decision-making frameworks through empirical analysis and replication studies. Recent publications emphasize framing effects' persistence under controlled conditions, information distortion in choices, and statistical methods for synthesizing research outcomes. He has advised/co-authored impactful studies with students like Shahzeen Attari, contributing to climate change communication and energy policy research. Professional affiliations include the Society for Judgment and Decision Making and the Society for Medical Decision Making, reflecting his interdisciplinary approach to decision science.
Huanxing Yang is a Professor and Chair of the Department of Economics at The Ohio State University (OSU), serving as Chair since July 2023. He holds a PhD in Economics from the University of Pennsylvania (2004) and joined OSU immediately after graduation. His research focuses on industrial organization, information economics, consumer search, internet economics, and network economics. Recent projects examine competitive bundling strategies, long-term product awareness via social learning, and misinformation dynamics in networks. Dr. Yang’s academic journey includes a B.S. in Management Information Systems from Renmin University of China (1993) and an M.A. in Economics from Fudan University (1996). He teaches graduate and undergraduate courses on microeconomic theory, game theory, and industrial organization. His 28 peer-reviewed articles appear in journals like the Rand Journal of Economics and American Economic Journal: Microeconomics, with recent work addressing strategic communication, collaborative networks, and targeted advertising on digital platforms. Research trends in his articles highlight interdisciplinary applications of game theory to modern economic challenges, such as platform competition and organizational hierarchy optimality. While no specific awards are noted, his work reflects significant contributions to theoretical and applied economics. His role as Chair underscores his leadership in advancing the department’s academic and research missions.
Umberto Grandi is a Professor of Computer Science at Toulouse Capitole University and a member of the Toulouse Institute for Research in Computer Science (IRIT), affiliated with the LILaC team. He holds a PhD from the University of Amsterdam (2012) and an HDR (2021) from Toulouse Capitole University. His research bridges artificial intelligence and economic theory, focusing on computational social choice, judgment aggregation, voting models, and digital democracy. He leads the ERC Synergy-funded ADDI project (€9.8M), exploring digital tools to enhance democratic practices. Collaborators include experts from the University of Amsterdam, Toulouse School of Economics, and University of Turku. His work emphasizes open-source solutions for participatory democracy and ethical AI. Education: PhD (University of Amsterdam, 2012), HDR (Toulouse Capitole, 2021) Affiliations: IRIT, LILaC team, Université Toulouse Capitole Research interests include computational social choice, digital democracy, and AI ethics. Recent projects integrate social sciences to develop algorithms for equitable decision-making and moral planning agents. Key Award: ERC Synergy Grant (2024) Publications: Over 50 articles in AI and social choice theory Supervises PhD and master’s students in computational social choice and digital democracy. Active in teaching and international master programs like the MIAGE program.
