جستجوی استاد راهنمای دانشگاهی

• Bayesian Statistics
• Uncertainty Quantification
• Prior Elicitation
• +۳ مورد دیگر

Professor Jeremy Oakley is the Head of School and Professor of Statistics at the School of Mathematical and Physical Sciences, University of Sheffield. He holds a BSc in Mathematics and Statistics from the University of Nottingham (1996) and a PhD in Statistics from the University of Sheffield (2000). His research focuses on Bayesian statistics, including uncertainty quantification for computer models, prior elicitation, and Bayesian methods in health economics. He has contributed to the development of the Sheffield Elicitation Framework (SHELF), a widely used tool for expert elicitation. His work spans applications in health economics, medical modeling, and engineering design. Education: BSc (Mathematics & Statistics), University of Nottingham, 1996 PhD (Statistics), University of Sheffield, 2000 Research interests include Bayesian methodology, uncertainty quantification, and expert elicitation. His publications address topics like cardiac electrophysiology modeling, clinical trial design, and probabilistic calibration of complex models. He has secured grants from EPSRC and MRC, focusing on managing uncertainty in models and improving healthcare decision-making. Oakley teaches statistics modules and supervises PhD students, contributing to interdisciplinary research collaborations. Recent articles highlight advancements in Bayesian calibration, expert elicitation frameworks, and applications in medical and engineering contexts. His work emphasizes bridging statistical theory with practical challenges in health economics and computational modeling.

Julia Roseمشاهده پروفایل

دانشیار

• Behavioral Economics
• Risk Preferences
• Experimental Economics
• +۳ مورد دیگر

Dr. Julia Rose is an Associate Professor at the Department of Applied Economics within the Erasmus School of Economics at Erasmus University Rotterdam, and a Research Fellow at the Tinbergen Institute. Her research focuses on behavioral economics, particularly decision-making under stress, risk perception, and market dynamics. She actively contributes to replicability studies in social sciences and develops experimental methods for assessing time preferences and risk attitudes. Her work integrates insights from psychology, neuroscience, and economics to understand how emotions, stress, and social contexts influence financial decisions. Notable areas include anticipatory anxiety's impact on risk-taking, the role of client-advisor matching in finance, and the reproducibility of experimental results in management science. Dr. Rose is affiliated with leading institutes like the Tinbergen Institute and maintains a strong presence in academic networks through her research on experimental asset markets, bubbles in financial markets, and behavioral nudging strategies. Her methodological contributions include open-source tools for time preference studies, advancing replicability standards in behavioral economics research.

Sophie van der Zeeمشاهده پروفایل

استادیار

• Deception Detection
• Cyber Security
• Behavioral Economics
• +۵ مورد دیگر

Dr. Sophie van der Zee is an Assistant Professor at the Erasmus School of Economics (Erasmus University Rotterdam), specializing in interdisciplinary research at the intersection of behavioral economics, cybersecurity, and deception detection. She serves as academic director of the MSc Behavioural Economics program and participates in Sectorplan SSH-Breed initiatives. Her work combines psychology, computer science, and economics to address human behavior in security contexts, including deception prevention/detection, cybercrime victimization, and sustainable healthcare practices. Education: Multi-disciplinary background in psychology, economics, and computer science Research: Focuses on automated deception detection via motion capture (AMAB system), personalized models using social media analysis, and the human factors in cybersecurity. Also investigates sustainable behavior in healthcare through the ESCH-R consortium. Leadership: Founded the Deception Research Society organizing Decepticon conferences and 'Lies & Allies' webinars. Served as associate editor for Palgrave Communications . Awards: 2020 Klokhuis Science Prize nomination Media Engagement: Regularly featured in Dutch media discussing deception patterns, cybercrime, and behavioral economics (e.g., NTR Wetenschap, Editie-NL, Argos). Her research bridges academic and practical domains, with applications in law enforcement, cybersecurity policy, and organizational behavior. Current projects explore cyber awareness questionnaire efficacy and cross-cultural deception detection methods.

Emma Isabella Williamsمشاهده پروفایل

مدرس

• developmental psychology
• autism research
• participatory arts
• +۲ مورد دیگر

Dr Emma Isabella Williams is a Lecturer in Developmental Psychology at the University of Surrey's School of Psychology. Her research employs participatory arts-based approaches to explore identities and experiences of autistic children and adolescents, aiming to improve mental wellbeing. She serves as Co-Investigator on the AHRC-funded 'Playing A/Part' project and 'CREATE' initiative, examining autistic identities and adolescent mental health through arts-based methodologies. Williams' work integrates qualitative methods including photo elicitation and drawings, with expertise in observational techniques and mixed-methods research design. Her investigations extend to educational impacts on self-identity in autistic youth and early development of social play behaviors.

• Development Economics
• Gender Studies
• Poverty Alleviation
• +۳ مورد دیگر

Selim Gulesci is an Associate Professor of Economics at Trinity College Dublin, affiliated with prominent research networks including BREAD, CEPR, and J-PAL. His work focuses on development economics with a strong emphasis on gender studies, poverty alleviation, and experimental methodologies. Key research areas include the impact of social norms on behavior, gender-based violence prevention, and the design of effective policy interventions in low-income economies. His research employs field experiments and observational studies across multiple regions, particularly in Sub-Saharan Africa and South Asia. Notable contributions include studies on childcare's impact on labor supply in Uganda, the role of media in shaping LGBTQ+ attitudes in Latin America, and the effects of cash transfer programs on women's empowerment. He has collaborated extensively with institutions like the World Bank and authored influential papers in top journals such as the American Economic Review and Quarterly Journal of Economics. Current research explores topics like SME resilience during crises, long-term impacts of early childhood interventions, and mechanisms for reducing harmful social norms. Despite his prolific output, Gulesci has no listed awards but maintains active involvement in policy dialogue through platforms like VoxDev summaries.

• Health Inequalities
• Public Involvement and Co-production
• Arts and Health
• +۳ مورد دیگر

Dr. Sofia Vougioukalou is a Research Fellow at the Centre for Adult Social Care Research (CARE) within Cardiff University's School of Medicine. She also serves as the Public Involvement and Engagement Lead for the Division of Population Health and Social Care at the Centre for Trials Research. Leading CARE's dementia thematic group, her expertise spans health inequalities, public involvement in research, and creative methodologies in healthcare. She focuses on improving social care for underrepresented older populations through ethnographic and participatory techniques, such as Experience-based Co-design and photo elicitation. Her research addresses unmet needs in chronic conditions like dementia, cancer, and Huntington’s Disease, emphasizing culturally appropriate engagement strategies. She co-leads projects on assistive technology for dementia and innovative social prescribing models. Vougioukalou has received multiple awards, including the Dementia Friendly Wales Diversity Award (2021), the Public Involvement Award (2021), and the Cardiff University Celebrating Excellence Award (2022). She is an associate editor at Arts & Health and contributes to initiatives like the MEAD research group and WISERD's Wellbeing Research Network. Her work bridges policy and practice, with recent studies on refugee healthcare access, deaf communication in dementia care, and LGBTQ+ inclusivity in healthcare settings. She actively advocates for diversity in research, holding roles on Health and Care Research Wales' Equality, Diversity, and Inclusion Advisory Group and the All Wales Deaf Mental Health and Wellbeing working group.

David Danzمشاهده پروفایل

دانشگاهی

• Experimental Economics
• Behavioral Economics
• Decision Making
• +۳ مورد دیگر

David Danz is a Research Assistant Professor in the Department of Economics at the University of Pittsburgh. He holds a Ph.D. in Economics from the Technical University of Berlin and the WZB Berlin Social Science Center, and a MSc in Economics from Humboldt University of Berlin. His research focuses on experimental and behavioral economics, with emphasis on beliefs and cognitive biases, information processing, learning, and social norms. He has published in top journals such as the American Economic Review and Games and Economic Behavior. His recent work explores incentive compatibility, belief elicitation mechanisms, and the impact of legal standards on consumer behavior. Collaborations include studies on hindsight bias in competitive settings and the design of optimal experimental protocols. Danz is affiliated with the Pittsburgh Experimental Economics Lab (PEEL) and the Behavioral Economics Design Initiative. Key contributions include advancing methodologies for behavioral incentive compatibility testing and analyzing the role of experimenter demand in experimental outcomes. His research bridges theoretical models with empirical evidence, addressing real-world applications of behavioral insights.

Stephanie Wangمشاهده پروفایل

استاد

• Experimental Economics
• Behavioral Game Theory
• Political Economy
• +۳ مورد دیگر

Stephanie Wang is a Professor of Economics at the University of Pittsburgh's Department of Economics. She holds a PhD from Princeton University, an MSc from the London School of Economics, and dual SB degrees in Brain and Cognitive Sciences and Economics from MIT. She has been a Postdoctoral Scholar at Caltech and a Visiting Associate Professor at Stanford University. Her research focuses on experimental economics, behavioral game theory, political economy, and decision-making under uncertainty. Notable contributions include studies on loss attitudes, projective thinking in strategic contexts, and the impact of social norms on economic behavior. She currently serves as an Associate Editor for journals including European Economic Review and Games and Economic Behavior . Her work integrates experimental methods to explore topics such as prosocial behavior, cognitive biases in voting, and the role of visual attention in decision-making. Ongoing projects include investigations into social norms influencing female labor force participation and dynamically optimized preference estimation techniques (DOSE). Her research has appeared in top journals like the American Economic Review , Econometrica , and Review of Economic Studies .

Alistair J. Wilsonمشاهده پروفایل

استاد

• Experimental Economics
• Microeconomic Theory
• Political Economy
• +۳ مورد دیگر

Alistair J. Wilson is a Professor of Economics at the University of Pittsburgh, specializing in Experimental Economics, Microeconomic Theory, Political Economy, and Industrial Organization. His work integrates theoretical frameworks with field data and controlled experiments to explore topics such as incentive design, strategic uncertainty, and market efficacy. He received his PhD from New York University in 2011 and has published extensively on behavioral economics, game theory, and experimental methodologies. His research often addresses methodological challenges in econometrics and the real-world applicability of theoretical models. Wilson's recent work examines the interplay between human and algorithmic decision-making, as well as fairness in assignment mechanisms like those in sports leagues. His office is located in Posvar Hall, and he maintains an active academic presence through his personal website and CV. Research interests include experimental validation of economic theories, the design of transparent incentive structures, and the analysis of long-term behavioral patterns in markets. Notable themes in his publications involve replicability in experiments, experimenter demand effects, and the application of game theory to real-world organizational challenges. He has contributed to fields ranging from labor market dynamics to policy design in sports federations. While no advising roles or grants are explicitly listed in the provided texts, his work frequently involves collaborative experimental setups and methodological innovations. His academic contributions emphasize bridging theoretical economics with empirical rigor, seeking to inform policy and institutional design through controlled and field-based studies.

D. van Ravenzwaaijمشاهده پروفایل

استاد مدعو

• Bayesian statistics
• computational methods
• reproducibility
• +۳ مورد دیگر

Professor D. van Ravenzwaaij is an Adjunct Professor in the Department of Psychometrics & Statistics at the University of Groningen's Faculty of Behavioural and Social Sciences. His work focuses on Bayesian statistics, computational methods, and reproducibility in research. He leads the Psychometrics & Statistics research group, contributing to methodological advancements in statistical inference and open science practices. Key areas include Bayesian model comparison, response time modeling, and developing tools like the baymedr R package for clinical trial analysis. Recent research emphasizes rigorous statistical methods for biomedical applications, FAIR data principles, and improving validity in psychological studies. He has published extensively in journals like Psychological Methods and PLOS ONE , and collaborates internationally on projects addressing replication reliability, drug efficacy assessment, and open science infrastructure. His work bridges theoretical statistical innovation with practical applications in health and behavioral sciences.

Dirk Engelmannمشاهده پروفایل

استاد

• Experimental Economics
• Behavioral Economics
• Auctions
• +۳ مورد دیگر

Prof. Dirk Engelmann holds the position of Professor of Public Finance at Humboldt-Universität zu Berlin since 2014. Previously, he was a Professor of Economics at the University of Mannheim (2010–2014) and Royal Holloway, University of London (2006–2010). His academic career includes roles such as Reader at Royal Holloway (2004–2006) and Assistant Professor at CERGE (2003–2004), with earlier research and teaching at Humboldt-Universität Berlin (1996–2001). His research focuses on Experimental Economics, Behavioral Economics, Auctions, and Biased Expectations. Key areas include analyzing consumer ethical concerns influenced by legal standards, the role of social image in markets, and mechanisms for efficient voting under private information. Recent work explores loss aversion in student performance and the effectiveness of personal carbon allowance policies. Engelmann’s publications span prestigious journals like the European Economic Review, Scandinavian Journal of Economics, and Econometrica. His experimental studies often bridge theoretical models with real-world behavioral patterns, particularly in public finance and policy contexts. He has contributed to understanding collusion dynamics, inequality aversion, and the design of behavioral public policy interventions. No scientific awards are explicitly listed, though his extensive publication record reflects significant scholarly impact. His advising and grants section remains unspecified in the provided texts. Engelmann is affiliated with the Microeconomics Research Group at the School of Business and Economics, contributing to both teaching and interdisciplinary projects.

• Experimental Finance
• Behavioral Finance
• Risk Preferences
• +۳ مورد دیگر

Michael Kirchler is a researcher at the Department of Economics, University of Innsbruck, specializing in experimental finance, behavioral economics, and market design. His work investigates how social competition, incentives, and risk preferences shape financial decision-making. Affiliation: University of Innsbruck - Department of Economics Research Interests: His research spans experimental finance, behavioral economics, and professional decision-making. Key areas include tournament incentives, delegated investment dynamics, and the psychological drivers of market behavior. Article Trends: His publications focus on market efficiency, risk perception, and social incentives in finance. Topics range from asset bubbles to moral nudges in financial advice, with a strong emphasis on empirical and experimental methods.

• Bayesian Modelling
• Decision Support Systems
• Explainable AI (XAI)
• +۵ مورد دیگر

Dr. Evangelia Kyrimi is a Lecturer in AI and Data Science at Queen Mary University of London (QMUL), affiliated with the School of Electronic Engineering and Computer Science. Since 2023, she has been a Royal Academy of Engineering Research Fellow. Her PhD in Computer Science from QMUL focused on Bayesian Networks for Clinical Decision Making. Her research bridges Bayesian modeling, decision support under uncertainty in healthcare, and explainable AI (XAI). Key areas include causal graphical models, user-specific explanations for AI systems, and bridging the gap between clinical decision support systems (CDSS) and real-world implementation. Her current fellowship (ExAIDSS) aims to develop trustworthy XAI systems for healthcare through causal explanations. Dr. Kyrimi’s work emphasizes explanation fundamentals, dynamic user-centric outputs, and evaluation protocols for AI systems. She has published extensively on Bayesian networks in healthcare, trauma prediction, pregnancy outcomes, and governance frameworks for AI adoption in clinical settings.

• Software Engineering
• Data Science
• Intelligent Systems
• +۳ مورد دیگر

James Miller is a Professor in the Department of Electrical & Computer Engineering at the University of Alberta. He holds a BSc and PhD in Computer Science from the University of Strathclyde, Scotland, and has held academic and research roles including Principal Scientist at the UK National Electronic Research Initiative. His primary research focuses on software verification, validation, and evaluation across embedded, web-based, and ubiquitous systems, with active collaborations with IBM Canada in Data Science. He leads multiple research projects and has authored over 200 refereed publications. Education: BSc in Computer Science, University of Strathclyde PhD in Computer Science, University of Strathclyde Research interests emphasize Software Engineering and Intelligent Systems, with a focus on empirical methodologies, data science applications, and visualization techniques. His work bridges theoretical advancements with practical implementations in cybersecurity, web systems, and embedded environments. His publications span topics like cookie security testing, CAPTCHA analysis, and agile development in embedded systems. He serves on the editorial board of the Journal of Information and Software Technology. Collaborations include IBM Canada on Data Science initiatives and leadership in the STEAM research group. His work often integrates empirical studies with system design to address real-world software challenges.

• Microeconomic Theory
• Contract Theory
• Mechanism Design
• +۲ مورد دیگر

Maxwell Rosenthal is an Assistant Professor in the School of Economics at Georgia Tech's Ivan Allen College of Liberal Arts. His research focuses on microeconomic theory with emphases on contract design, mechanism development, and behavioral economics applications. Rosenthal investigates how consumer choice data informs complex product design and pricing strategies. Additional research examines risk-taking behaviors in moral hazard contexts, particularly in employment contracting and executive compensation. His work addresses fundamental questions about uncertainty management in incentive structures and resource allocation. Recent publications demonstrate methodological innovations in modeling belief heterogeneity within contract frameworks. His scholarship combines theoretical rigor with practical applications in market design and organizational economics.