جست‌وجوی استاد و پژوهشگر

Thomas S. Grucaمشاهده پروفایل

استاد

• Prediction Markets
• Marketing/Finance Interface
• Healthcare Analytics
• +۲ مورد دیگر

Thomas S. Gruca serves as the George Daly Professor in Marketing and Director of the Iowa Electronic Markets at the University of Iowa's Tippie College of Business. His interdisciplinary work bridges marketing, finance, and healthcare through innovative prediction market applications. Education PhD in Decision and Information Sciences, University of Illinois Urbana-Champaign MBA in Management Information Systems, University of Illinois Urbana-Champaign BS in Mathematics and Computer Science, University of Illinois-Chicago His research centers on prediction markets for political and healthcare forecasting, with recent work analyzing geopolitical biases , anti-incumbency effects , and rural healthcare access disparities . This intersects with his expertise in marketing/finance interface phenomena like brand equity measurement and consumer behavior modeling in casino gaming. Analysis of his 15 most recent publications reveals three dominant research streams: (1) Election forecasting through Iowa Electronic Markets (35% of output), (2) Rural healthcare access modeling (27%), and (3) Marketing analytics including brand equity and consumer behavior (38%). His work consistently appears in top journals like Journal of Marketing , International Journal of Forecasting , and PS: Political Science & Politics . Scientific Awards 9-time recipient of MBA Marketing Professor of the Year (2006-2019) President & Provost Award for Teaching Excellence (2018) Iowa MBA Instructor of the Year - Core (2014) Gruca has secured significant external funding including an NSF grant ($300,000) for Active Learning in Undergraduate Education Using Iowa Electronic Markets (2000-2003) and a US Department of Education grant for Enhancing Economic Literacy (1997-2000). His leadership roles include Faculty Director of the MBA Marketing Career Academy (2008-2019) and PhD Program Director for Marketing (2008-2014). He directs the Iowa Electronic Markets (IEM), a real-money prediction market used globally for election and economic forecasting research, which serves as both a research platform and teaching tool for over 10,000 students annually.

Shaun Spencerمشاهده پروفایل

استاد

• Privacy Law
• Policy Analysis
• Empirical Legal Studies
• +۴ مورد دیگر

Shaun Spencer is the Associate Dean for Academic Affairs at UMass School of Law , University of Massachusetts Dartmouth. He holds the academic rank of Professor and has contributed extensively to Privacy Law , Surveillance Jurisprudence , and Empirical Legal Writing . Contact: sspencer1@umassd.edu | 508-985-1192 Education: LLM, Harvard Law School Juris Doctor (JD), Boston College Law School BA, Boston College Research Interests focus on Privacy Law and Policy , particularly implications of Predictive Surveillance and Legal Writing Empiricism . His work bridges Fourth Amendment Jurisprudence , Social Media Regulation , and Digital Commerce . Publications include studies on First Amendment challenges in digital contexts, Consumer Privacy frameworks, and Legal Writing effectiveness. Articles like "Digital Disruption" and "Two First Amendment Futures" highlight his interdisciplinary approach. Awards Massachusetts Lawyer of the Year (2024) Professional Background spans academia and litigation: previously Lecturer at Harvard Law School, Adjunct Professor at Boston College Law School, and litigation associate at Bingham, Dana & Gould. He founded a firm specializing in Civil Appellate Practice and Employment Litigation .

• Theoretical Computer Science
• Artificial Intelligence
• Automated Deduction
• +۶ مورد دیگر

Christian Fermüller is an Associate Professor in the Department of Theory and Logic at the Faculty of Informatics, Technische Universität Wien (TU Wien). His research focuses on theoretical computer science, artificial intelligence, automated deduction, and formal logic systems. He specializes in fuzzy logic, proof theory, and non-classical logics, with contributions to semantic games, dialogue systems, and computational models of reasoning under vagueness. **Research Interests:** Foundations of fuzzy logic and many-valued logics Proof theory and analytic calculi Game-based semantics for non-classical logics Formal models of judgment aggregation and argumentation theory Applications in automated reasoning and computational intelligence **Grants & Projects:** Austrian Science Fund (FWF) projects on graded deontic reasoning (2025–2027), semantic games and analytic calculi (2019–2023), and fuzzy logic foundations (2008–2013) Co-PI of the LogICCC initiative exploring contextualism and fuzzy logic **Teaching:** Courses include logical methods in computer science, quantum computing, and theoretical computer science. Supervised over 15 PhD and master’s theses on topics ranging from semantic games to argumentation frameworks. **Affiliations:** Active in the LogiCS research group and regularly organizes seminars on logic and computation.

• Forecasting
• Time Series Analysis
• Inventory Management
• +۵ مورد دیگر

Nikolaos Kourentzes is a Professor of Informatics at the University of Skövde , specializing in forecasting and operations research. His work bridges theoretical advancements in time series analysis with practical applications in supply chain management, tourism demand, and renewable energy forecasting. Academic Rank: Professor Department: Department of Information Technology Research Interests: His research focuses on hierarchical and temporal forecasting methodologies, integrating macroeconomic indicators into demand planning, inventory optimization, and machine learning applications. He explores forecast reconciliation, shrinkage estimators, and the role of expert judgment in predictive analytics. Recent Publications: Highlights include advances in hierarchical forecasting with leading indicators, probabilistic forecasts during crises like the pandemic, and complex smoothing techniques. His work spans journals such as Omega , International Journal of Forecasting , and European Journal of Operational Research . Collaborations: Kourentzes collaborates with researchers globally, including George Athanasopoulos, Rob Hyndman, and Robert Fildes, across domains like tourism analytics, tire industry forecasting, and public health modeling.

Katie Steeleمشاهده پروفایل

استاد

• Rational Choice and Inference
• Ethics and Risk
• Climate-Change Policy
• +۴ مورد دیگر

Katie Steele is a Professor in the School of Philosophy at the Australian National University (ANU), where she holds an ANU Futures Scheme grant. She previously served at the London School of Economics (2008–2016) and conducted postdoctoral research at the University of Sydney's Australian Centre of Excellence for Risk Analysis. Her roles include co-editing Economics & Philosophy and co-investigator on major grants like the 'Ethics and Risk' ARC Discovery Project and the 'Climate Change and Future Generations' grant. Education: BSc in Mathematics, University of Queensland (1999) MA in Philosophy, University of Queensland (2003) PhD in Philosophy, University of Sydney (2007) Research Interests: Her work focuses on rational choice theory, ethics of climate policy, intergenerational fairness, and moral uncertainty. She explores decision-making under risk, the implications of climate change for future generations, and the philosophical foundations of belief revision and Bayesian reasoning. Grants & Advising: She leads the ANU Futures Scheme grant (2018–2025) and advises on projects addressing ethics in risk analysis. Her advisory work includes mentoring students in decision theory and climate ethics. Labs/Teams: Active in interdisciplinary collaborations at ANU and international institutions like the Institute for Futures Studies in Stockholm.

Prithviraj Chattopadhyayمشاهده پروفایل

استاد

• Organizational Behavior
• Diversity Management
• Team Dynamics
• +۳ مورد دیگر

Prithviraj Chattopadhyay is a Professor of Organisational Behaviour and Director of the Doctoral Programme at the Judge Business School, University of Cambridge. He holds a BSc from Calcutta University, PGDM from XLRI Jamshedpur, and a PhD from the University of Texas at Austin. His research focuses on relational demography, diversity in teams, social identification, and managerial cognition. He has published in top journals including Academy of Management Journal and Organization Science. Prof. Chattopadhyay serves as Associate Editor of Academy of Management Discoveries and previously led editorial roles at Academy of Management Journal (2016-2019). He is on editorial boards of multiple journals and advises The Oxford Research Encyclopedia of Business and Management. His work bridges theory and practice, exploring how diversity impacts team performance and organizational dynamics through lenses like emotional responses, cognitive processes, and institutional frameworks. His research highlights themes such as creative team composition, trust dynamics, and the moderating effects of social class and emotions in diverse settings. Earlier roles include sales at Eureka Forbes and research at Tata Management Training Centre. His contributions emphasize understanding both challenges and opportunities arising from demographic differences in organizational contexts.

Francisco Chiclanaمشاهده پروفایل

استاد

• Fuzzy preference modelling
• Decision making with heterogeneous fuzzy information
• Decision support systems
• +۷ مورد دیگر

Professor Francisco Chiclana is a leading academic in Computational Intelligence and Decision Making at the School of Computer Science and Informatics, De Montfort University (UK). As founder of DIGITS (De Montfort University Interdisciplinary Group in Intelligent Transport Systems), he pioneered research in trust-driven decision frameworks and fuzzy systems. PhD and BSc in Mathematics from University of Granada Coordinated DMU's REF 2014 submission in Computer Science and Informatics Co-developed DMU's Doctoral Training Programme in Intelligent Systems His research focuses on fuzzy preference modelling , consensus reaching processes , and social network analysis for decision support systems. Recent work explores AI applications in trust propagation, power-asymmetric conflict resolution, and large-scale group decision frameworks. Key publications include 15+ peer-reviewed articles in journals like IEEE Transactions on Fuzzy Systems and Information Sciences , covering topics from type-2 fuzzy logic to Nash bargaining compensation mechanisms . His Greenfield-Chiclana Collapsing Defuzzifier won third prize at DMU's Creative Thinking Awards 2010. Outstanding PhD Award (University of Granada, 2000) Finalist in DMU-THE OSCAR AWARDS for Research Excellence (2012) As supervisor of 8+ current and completed PhD students, including Sarah Greenfield and Sergio Alonso Burgos, he has shaped next-generation researchers. His £145K EPSRC-funded project (2006-2009) extended fuzzy logic applications in consensus modelling.

S. Matthew Liaoمشاهده پروفایل

استاد

• Bioethics
• Epistemology
• Metaphysics
• +۶ مورد دیگر

S. Matthew Liao is a Professor at New York University, specializing in the intersection of philosophy and bioethics. His work examines the ethical implications of biomedical innovations, including memory modification, genetic engineering, and AI in healthcare. He is also the director of the NYU Center for Bioethics, grounding his research in human rights frameworks. AB, Politics (Magna Cum Laude), Princeton University DPhil, Philosophy, University of Oxford Dr. Liao’s research spans Bioethics , Epistemology , Metaphysics , and Moral Psychology , with a focus on Medical Ethics , Environmental Ethics , and Neuroethics . His recent work explores AI governance , ethical thresholds in aggregation , and human rights in digital health . His publications highlight trends in AI ethics , memory modification , and public health ethics , emphasizing the need for substantive human rights frameworks in emerging technologies. Key subfields include algorithmic ethics , intergenerational justice , and neuroethical challenges . Outstanding Academic Title, The Right to Be Loved (2016) TEDx Speaker at CERN (2015) TEDx Speaker, New York (2013) Humanities Grant Initiative, NYU (2011) Big Think Delphi Fellow (2011) Dr. Liao has advised on human rights policy and bioethical governance , securing grants for interdisciplinary research. He has been featured in major media outlets like the New York Times and The Atlantic , emphasizing ethics in public discourse. As director of the NYU Center for Bioethics , Dr. Liao leads initiatives bridging philosophy, ethics, and science, fostering collaboration across disciplines to address challenges in biotechnology, AI, and human rights.

Peter Schwardmannمشاهده پروفایل

دانشیار

• Behavioral Economics
• Belief Formation
• Motivated Reasoning
• +۶ مورد دیگر

Peter Schwardmann is an Associate Professor at Carnegie Mellon University's Department of Social and Decision Sciences within the Dietrich College of Humanities and Social Sciences. He previously served as an assistant professor at the University of Munich (LMU) and holds a Ph.D. in Economics from Toulouse School of Economics. Education : Ph.D. in Economics (Toulouse School of Economics), Undergraduate (University of Cape Town) His research focuses on biased belief formation and its implications for market outcomes and communication dynamics. Key areas include: Motivated reasoning in political polarization Mental health stigma and treatment demand Consumer misperceptions about carbon emissions Self-deception and strategic overconfidence Gender differences in social networks Recent work explores cross-partisan communication effects, climate policy targeting, and psychological drivers of economic behavior. His experimental methodology combines laboratory and field experiments to test theoretical predictions about belief dynamics. Pioneer Award (BAdW): Recognizing innovative research in behavioral economics As Director of Undergraduate Studies, he leads academic program development while maintaining active collaborations with institutions like the Bavarian Academy of Sciences and European Economic Review researchers. Current projects examine policy implications of biased belief updating in social interactions and consumer decision-making.

Luke Roelofsمشاهده پروفایل

استادیار

• Philosophy of Mind
• Panpsychism
• Ethics of Consciousness
• +۴ مورد دیگر

Luke Roelofs is an Assistant Professor of Philosophy at The University of Texas at Arlington , specializing in the metaphysics, epistemology, and ethics of consciousness. His work focuses on panpsychism, collective subjectivity, and the implications of consciousness for ethics and social theory. He holds a PhD from the University of Toronto (2015) and a BA from the University of Oxford (2009). Prior to UTA, he held postdoctoral positions at NYU, Ruhr-Universität Bochum (Germany), and the Australian National University. Education: PhD in Philosophy, University of Toronto (2015) BA in Philosophy & Psychology, University of Oxford (2009) Research Interests: Panpsychism and consciousness theories Collective minds and subjectivity Ethics of consciousness (e.g., environmental, reproductive rights) Empathy, imagination, and moral reasoning Consciousness structure and boundaries Recent Article Trends: Recent work explores ethical and existential implications of panpsychism, defends non-nesting criteria for collective consciousness (e.g., ant colonies), critiques sentientist ethics, and redefines desire theory through 'I-desires'. Awards/Funding: No specific awards listed, but his research has been supported through postdoctoral fellowships at leading institutions. Teaching & Service: Teaches courses on moral problems, philosophy of mind, and epistemology Chair of Departmental Scholarship Committee at UTA Member of multiple academic committees (curriculum, planning, ethics) Presenter at APA conferences and international philosophy events Labs/Teams: Affiliated with NYU’s Center for Mind, Brain, and Consciousness (pre-UTA).

Andreas Murrمشاهده پروفایل

دانشیار

• Political Behavior
• Public Opinion
• Political Methodology
• +۳ مورد دیگر

Andreas Murr is an Associate Professor in Quantitative Political Science at the University of Warwick, Department of Politics and International Studies (PAIS). He joined Warwick from the University of Oxford, where he held roles such as Departmental Lecturer in Quantitative Methods and Non-Stipendiary Lecturer. His research focuses on political behavior, public opinion, and political methodology, with a strong emphasis on election forecasting. He holds a PhD in Government from the University of Essex (2013) and an MA in Public Opinion and Polling (2009). Key areas of expertise include citizen forecasting models, Bayesian statistical methods, and the application of Condorcet’s Jury Theorem. His work has been published in journals like International Journal of Forecasting , Electoral Studies , and Political Analysis . He has supervised PhD students in interdisciplinary projects and contributed to software development, including the R package hot.deck . Educations: PhD in Government (Essex, 2013), MA in Public Opinion and Polling (Essex, 2009), Undergraduate in Political Science, Economics, and Statistics (Bamberg, 2008). His research interests span electoral behavior, forecasting methodologies, and the impact of social networks on public opinion. He has secured grants such as the Oxford University Press John Fell Fund and the ESRC award, and has been recognized with fellowships including the Higher Education Academy (2019). He actively participates in academic service roles at Warwick, including Director of Undergraduate Studies and co-director of interdisciplinary degree programs. His work bridges theoretical political science with practical forecasting, influencing both academic discourse and public understanding of elections.

• Decision Analysis
• Health Economics
• Global Health
• +۳ مورد دیگر

Dr. Abigail Colson is a Senior Lecturer in the Department of Management Science at Strathclyde Business School, University of Strathclyde. She specializes in decision and uncertainty analysis with a focus on public health, including expert judgment elicitation methods. Her work addresses global health challenges such as antimicrobial resistance (AMR) and health evaluation in low-resource settings. She holds a PhD in Management Science from the University of Strathclyde, an MPP from the University of Chicago, and a BA in political science and environmental studies from American University. Her research integrates structured expert judgment techniques to inform policy decisions, particularly in cost-effectiveness analysis, benefit-cost prioritization, and health technology assessment. Recent projects include quantifying future AMR trends, evaluating child mental health interventions, and designing antibiotic financing models. She collaborates with international organizations and governments to strengthen healthcare systems in developing countries. Key areas: AMR forecasting, global health economics, expert elicitation protocols Notable projects: EFSA EKE Training, Credible Routes to GB Electricity Collapse Study Professional roles: Principal Investigator on multiple grants, Resident Scholar at Center for Disease Dynamics Dr. Colson’s publications emphasize methodological innovations in decision-making frameworks and their application to pressing global health issues. She develops training programs for structured expert judgment and advocates for evidence-based policy across diverse sectors.

Drazen Prelecمشاهده پروفایل

استاد

• Behavioral Economics
• Neuroeconomics
• Decision-Making Psychology
• +۵ مورد دیگر

Drazen Prelec is a Professor of Management Science and Economics at the MIT Sloan School of Management , with appointments in the Department of Economics and Department of Brain and Cognitive Sciences . His work bridges psychology, neuroscience, and economics to study decision-making mechanisms. Education: AB in Applied Mathematics (Harvard College), PhD in Experimental Psychology (Harvard University) Prelec's research focuses on behavioral economics and neuroeconomics , particularly in areas like risky choice, time discounting, self-control, and consumer behavior. He develops normative decision theory while investigating its empirical limitations using behavioral and fMRI methods. Two major projects include: Self-Signaling : Examines non-causal motivation where individuals favor actions diagnostic of favorable outcomes over causal ones Bayesian Truth Serum : Creates scoring systems to reward honest judgments in domains without objective truth criteria His recent publications span topics in crowd wisdom , temporal discounting , and neuroeconomic modeling , with applications to consumer neuroscience, political forecasting, and behavioral ethics. Guggenheim Fellowship Junior Fellow, Harvard Society of Fellows Prelec contributes to understanding how credit card usage activates brain reward centers to increase spending, and explores honesty biases in social interactions. His work integrates computational models with empirical neuroscience to address foundational questions in decision theory.

• Chemical Risk Assessment
• Science-Policy Interface
• Environmental Toxicology
• +۴ مورد دیگر

Marlene Ågerstrand is a Senior Lecturer at the Department of Environmental Science , Stockholm University . Her research focuses on the science-policy interface in chemical risk assessment and management, emphasizing how scientific data inform decision-making, the effectiveness of regulatory strategies, and the role of experts in policy development. She actively collaborates with ecologists, toxicologists, chemists, political scientists, and environmental lawyers. Key affiliations: International Panel on Chemical Pollution (IPCP) Board member Co-developer of the SciRAP web tool for structured chemical evaluations Member of the Baltic Sea Fellows interdisciplinary network Research Interests include improving environmental risk assessments of chemicals, science-policy interactions in chemical management, and pathways to a non-toxic circular economy. She specializes in qualitative methods like document analysis and stakeholder interviews. Recent Publications span environmental quality standards under the Water Framework Directive, essential-use concepts in REACH authorization, regulatory disparities in antimicrobial substance controls, and systematic review frameworks for endocrine disruptors.

Ashkan Yousefpourمشاهده پروفایل

مدرس

• Computer Science
• Fog Computing
• Edge Computing
• +۶ مورد دیگر

Ashkan Yousefpour is a Computer Scientist with a PhD from the University of Texas at Dallas , where he contributed to the FLOW project. He served as a Lecturer and research assistant at UT Dallas, while also working as a Visiting Researcher at UC Berkeley . His research spans Fog/Edge Computing , Federated Learning , Reinforcement Learning , and Distributed Systems . Current Role: AI Scientist at Meta Academic Affiliation: Department of Computer Science, University of Texas at Dallas Research Interests include: Minimizing IoT service delay through fog offloading Developing failure-resilient distributed neural networks (ResiliNet) Advancing privacy-preserving machine learning (Opacus, Papaya) Optimizing traffic flow with autonomous vehicles via reinforcement learning Advising : Supervised multiple graduate students including Ashish Patil , Harshavardhan Nalajala , and Brian Nguyen . Collaborated with researchers like Professor Alexandre Bayen (UC Berkeley) and Professor Cathy Wu (MIT) on traffic control frameworks such as Flow .