جست‌وجوی استاد و پژوهشگر

• Behavioral Economics
• Experimental Economics
• Microeconomics
• +۶ مورد دیگر

Marco Piovesan is Full Professor at the Department of Economics of the University of Verona. Formerly Professor at the University of Copenhagen and Research Fellow at Harvard Business School, he holds a PhD in economics and management from the University of Padova (2007). His academic leadership includes membership in the Economics Department Board and Scientific Project Manager role at the University of Verona. Current affiliation: University of Verona Prior affiliations: University of Copenhagen, Harvard Business School Research focuses on Behavioral and Experimental Economics , particularly analyzing preference heterogeneity in time, risk, and social contexts across developmental stages. Key projects include the Carlsberg Foundation-funded KIDS initiative studying behavioral interventions for healthy aging with the Center for Healthy Aging (CEHA), and experimental investigations into dishonesty, social dilemmas, and decision-making under cognitive load. Recent publications span topics including collaborative dishonesty , gender differences in competitiveness , and cognitive fatigue effects , appearing in journals like American Economic Review, PNAS, and Journal of Economic Psychology. His work has been cited over 2000 times and featured in The New Yorker , Financial Times , and Washington Post . Scientific Awards: Harald of the Year nominations (2015, 2017, 2018) Research Centers: Director of Centre for Experimental Economics (Copenhagen), member of CRIEP and CIDE Teaching: Courses in microeconomics, behavioral economics, and experimental methodology at all academic levels

Steven Haywardمشاهده پروفایل

استاد

• Protein Structure
• Protein Conformational Change
• Amyloid Studies
• +۵ مورد دیگر

Steven Hayward is a Professor of Computational Biology at the School of Computing Sciences , University of East Anglia. He serves as Director of Research and is affiliated with the Computational Biology Group , Centre for Japanese Studies , and Visual Computing and Signal Processing units. His work bridges computational methods with biological questions. Education: BSc(Hons) in Physics from University of Bristol, Diplom in Physics from Johannes-Gutenberg University, Mainz, and PhD in Molecular Biology from University of Edinburgh. Hayward's research focuses on protein structure and conformational changes , particularly their relationship to function. He employs biogeometry , molecular dynamics , and bioinformatics to investigate: DynDom software and its database for protein domain movements α-sheet structure in amyloid formation for diseases like Alzheimer’s and Parkinson’s Interactive docking tools (e.g., DockIT) using VR and haptic devices Recent articles show his expertise in HDAC6 inhibition , amyloid protofilament modeling , and GPU-accelerated molecular visualization . His 15 most recent works span 2017–2025 and include collaborative projects with European and Japanese institutions. Scientific awards include: Biophysics and Physicobiology Editors' choice award (2017) Great Britain Sasakawa Foundation Fellowship (2024) JSPS Bridge Fellowship (2015) Hayward collaborates with Professor Akio Kitao (Tokyo Tech), Professor James Milner-White (Glasgow), and Dr Stephen Laycock (UEA). He has secured grants from ELIXIR Europe , Daiwa Anglo-Japanese Foundation , and JSPS for projects including PDBe-KB database development and VR-based education tools. Current initiatives involve creating a system for studying protein conformational landscapes and interactive docking platforms.

• Revenue Management
• Retail Operations
• Customer Choice Modeling
• +۵ مورد دیگر

Guang Li is an Assistant Professor of Management Science and a Scotiabank Scholar at the Smith School of Business, Queen's University. Her research focuses on revenue management, customer choice modeling, and intersections between operations management and marketing, accounting, and finance. She has been funded by NSERC and published in top journals like Operations Research and Manufacturing & Service Operations Management . Education: Ph.D. in Operations Management (2016) – University of Southern California M.Eng. in Materials Science and Engineering (2008) – MIT M.Sc. in Advanced Materials (2008) – National University of Singapore B.Eng. in Materials Engineering (2007) – Nanyang Technological University Research Interests: Guang’s work spans revenue optimization, retail operations, strategic pricing, and sustainability. She employs discrete choice models, NLP, and data analytics to address challenges in supply chains, consumer behavior, and social media impact on mental health. Articles Trends: Recent studies (2023–2025) highlight strategic pricing under consumer learning, remanufacturing technology portfolios, and pandemic-driven retail shifts. Earlier work (2015–2018) explores nested logit models and charitable inventory planning. Awards: Scotiabank Scholar (Queen’s University) Advising & Grants: Funded by NSERC, her projects address retail resilience, customer choice dynamics, and eco-friendly operations. No advisee names are listed in the provided texts. Affiliations: Cross-appointed at the Scotiabank Centre for Customer Analytics, Queen’s University.

Katharine Meyerمشاهده پروفایل

پژوهشگر ارشد

• Behavioral Science
• Education Policy
• Higher Education
• +۵ مورد دیگر

Katharine Meyer is a Research Fellow affiliated with the Nudge4Solutions Lab at the University of Virginia and a Fellow in Governance Studies at the Brookings Institution. Her work focuses on applying behavioral science to improve education policy, particularly in areas like financial aid accessibility, college persistence, and school counselor impact. She holds a PhD in Education Policy and MPP from the University of Virginia, and her research has been published in journals such as the Journal of Policy Analysis and Management and Daedalus . Key Research Themes: Behavioral interventions for education decision-making Administrative burden in financial aid systems College access and equity Impact of school counselors Recent Work Highlights: Meyer's current projects include analyzing the effects of school counselors on financial aid utilization, evaluating free college program designs, and exploring scalable strategies to reduce administrative barriers in education. She has also contributed to policy discussions around federal financial aid cuts, state-level responses, and the role of governing boards in higher education institutions. Awards & Recognition: None explicitly listed in the provided texts. Grants & Collaborations: Collaborates with institutions like the Annenberg Institute at Brown University and the Nudge4Solutions Lab. Her work frequently intersects with policy advocacy, as evidenced by her contributions to Brookings' initiatives on education governance and federal policy.

Jenny Leeمشاهده پروفایل

استاد

• Internationalisation of higher education
• Geopolitics of academic knowledge
• Student mobility and migration
• +۳ مورد دیگر

Jenny Lee is Professor at the University of Arizona and inaugural Dean of Arizona International College, a strategic academic unit overseen by the Provost and dedicated to transnational education, global engagement, and border-crossing research initiatives. Her career integrates senior academic leadership with a prolific research portfolio focused on the geopolitics of higher education. Education & Academic Rank: While the source does not list her degrees, her continuous publication record since 2000 and current full professorship indicate a standard U.S. tenure-track trajectory culminating in the rank of Professor. Research Focus: Lee interrogates how global power asymmetries—especially US-China rivalry—shape student mobility, faculty collaboration, and knowledge production. She critiques neo-racism embedded in internationalisation policies and examines universities as both sites of soft-power projection and spaces of resistance. Methodologically she combines large-scale bibliometric analyses with qualitative accounts of student and scholar experiences. Publication Trends: Across 2020-2022 her articles converge on three inter-related themes: (1) the weaponisation of research policy amid geopolitical tension; (2) the reconfiguration of student and faculty mobility after COVID-19; and (3) the stratifying effects of rankings and micro-campus models on global higher education. Awards & Funding: No specific awards or grants are cited in the scraped material, but her sustained output in high-impact journals and editorial invitations signal scholarly recognition. Advising & Mentoring: No individual student names are supplied; however, her 2017-2020 pieces on graduate climate, mentoring in service-learning, and post-doc experiences suggest active supervision and mentoring roles. Labs & Teams: As Dean she leads Arizona International College, an organisational hub that liaises with academic departments, global partner universities, and international-affairs units to deliver joint-degree and micro-campus programmes.

Alejandro Riveraمشاهده پروفایل

دانشیار

• Corporate Finance Theory
• Dynamic Contracts
• Optimal Capital Structure
• +۷ مورد دیگر

Alejandro Rivera is an Associate Professor of Finance at the Naveen Jindal School of Management, University of Texas at Dallas (UTD). He holds a PhD in Economics from Boston University (2015) and a BSc in Mathematics and Economics from Simon Fraser University (2008). His research focuses on corporate finance theory, dynamic contracts, robust preferences, and stochastic control applications in financial markets. He has also explored topics like green finance, managerial incentives, and household debt dynamics. His work integrates theoretical models with real-world applications, addressing issues such as optimal capital structure design, risk-shifting incentives in leveraged firms, and climate finance mechanisms. Key contributions include studies on present-biased contracting, debt overhang mitigation, and wind farm management. His research has been published in top journals like Econometrica , Management Science , and Journal of Financial Economics . Teaching responsibilities include courses in Macroeconomics and Financial Markets at UTD, and他曾教授过 Corporate Finance at UC Berkeley. Professional affiliations include the American Economic Association, Western Finance Association, and Society of Financial Studies. His current projects explore endogenous Minsky moments, deep learning approaches to habit-formation contracts, and managerial limited commitment frameworks. Dr. Rivera actively participates in academic conferences and workshops, including a 2023 presentation at BIRS on 'Contracting with a Present-Biased Agent.' His work bridges theoretical rigor and practical relevance, addressing contemporary challenges in finance, economics, and sustainable development.

• Judgment and Decision-Making in a Social World
• Adaptive Judgment and Decision-Making
• Risky Decisions
• +۵ مورد دیگر

Thorsten Pachur is a Professor for Behavioral Research Methods at the Technical University of Munich (since 2022) and a Senior Research Scientist at the Max Planck Institute for Human Development in Berlin. His work focuses on judgment and decision-making, particularly in social contexts, adaptive rationality, and risky choices. He has led projects such as " Simple decision-making strategies " and " Search and Learn " at the Max Planck Institute. Education : Habilitation (2012, University of Basel), PhD in Psychology (2006, Free University of Berlin), Dipl.-Psych. (2002, Free University of Berlin), MSc in Health Psychology (2002, University of Sussex) Research Themes : Pachur investigates how social memory structures influence decision-making, the toolbox of cognitive strategies in risky choices, and the role of attentional processes in decisions. His work bridges prospect theory and heuristic models , examining how attention shapes probability weighting and outcome evaluation. Scientific Contributions : Recent publications include studies on the description-experience gap in intertemporal choices, age differences in risk perception , and attentional biases in sequential sampling . His 2024 work on COVID-19 vaccine refusal highlights deliberate ignorance and cognitive distortions. Scientific Awards : 2017 Fellow of the Association for Psychological Science (APS), 2001 DAAD Scholarship, 2005 Max Planck Postdoctoral Fellowship Grants : Funded by the Swiss National Science Foundation (SNSF), German Research Foundation (DFG), and Biäsch Foundation Editorial Roles : Consulting Editor for Journal of Experimental Psychology: Learning, Memory, and Cognition (2013–2025), Associate Editor for Cognitive Psychology (2025–), and member of boards for journals including Decision and Psychological Review .

• Economic Development
• Urban and Regional Economics
• Natural Hazards Analysis
• +۷ مورد دیگر

Richard Vogel is Dean of the School of Business and Professor of Economics at Farmingdale State College, where he has held leadership and academic roles for many years. He teaches a wide range of economics courses including Macroeconomics, Microeconomics, Sports Economics, and Urban and Regional Economics. His research spans economic development, disaster policy, environmental economics, and economics education. His educational background includes a Ph.D. in Economics from Florida International University (1996), an M.A. from Georgia State University (1991), and a B.A. from Florida Atlantic University (1978). Vogel’s research focuses on urban and regional economic growth, natural hazards, disaster recovery, and sustainable coastal development. His recent work examines nutrient bioextraction in Long Island Sound, the economic impact of recreational marijuana legalization in New York, and the long-term effects of Hurricane Sandy and the COVID-19 pandemic on regional economies. He frequently applies computable general equilibrium (CGE) models and policy analysis frameworks to assess economic impacts. His publications span from 1998 to 2025, with recent articles emphasizing environmental sustainability, public policy evaluation, and innovative pedagogy. Trends show a strong focus on applied regional economics, disaster resilience, and the economics of education and public programs. Fulbright Fellow (2007) Academy of Economics and Finance Fellow (2019, 2020) Distinguished Fellow, New York State Economics Association (2023) Outstanding Scholarly Publication Award (2014) Visiting Scholars Lecture Series Award, South Korea (2010) Vogel has advised numerous research projects and collaborated extensively with colleagues such as Sheng Li, Nanda Viswanathan, and Worku Bitew. He has led grant-funded studies, including one commissioned by NEIWPCC on nutrient bioextraction. His academic service includes conference presentations, symposia leadership, and editorial contributions. He has also contributed to curriculum development, particularly in mathematics and economics education. He leads research initiatives related to Long Island’s economic development, coastal sustainability, and disaster policy. His work often involves interdisciplinary teams and partnerships with governmental and environmental organizations, especially in the context of Long Island Sound restoration and resilience planning.

Daniel Loyمشاهده پروفایل

مدرس ارشد

• Entrepreneurship
• Social Innovation
• Social Entrepreneurship
• +۳ مورد دیگر

Dr. Daniel Loy is a Senior Lecturer (Practice) at the Malaysia School of Business, Monash University Malaysia, and Director of the Entrepreneurship & Innovation Hub. He holds a PhD in Science Education from Universiti Sains Malaysia (2015), a Master of Online Education from the University of Southern Queensland (2006), and a Bachelor of Multimedia from Multimedia University (2002). His work focuses on entrepreneurship, social innovation, and STEM education, contributing to UN SDGs related to education and sustainable development. Key roles include Director of the Entrepreneurship & Innovation Hub, Founder/Principal of Danjumbuck Designs (learning/design consultancy), and former leadership positions at Petrosains Sdn Bhd, Agensi Inovasi Malaysia, and PurpoSE Malaysia. He actively contributes to social equity initiatives and educational reform through social enterprises and innovation programs. His research interests span entrepreneurship education, maker education, and the integration of innovation in educational systems. He leads the Redesign At iHome (RAI) Project (2022–2025), aimed at enabling age-in-place solutions for Malaysians. Over 14 professional activities include organizing workshops, mentoring, and advisory roles in innovation and education sectors. Teaching responsibilities include chief examining roles for units like Monash Innovation Guarantee and Social Entrepreneurship. His work emphasizes bridging educational institutions with industry needs through design thinking and collaborative initiatives.

• STEM Education
• Informal Learning
• Free-Choice Learning
• +۷ مورد دیگر

Martin Storksdieck is Professor of Education and Director of the STEM Research Center at Oregon State University. His work lies at the intersection of research, policy, and practice in informal and formal STEM education, with a strong commitment to equity and social justice. He leads a multidisciplinary team dedicated to advancing understanding of science engagement in diverse learning environments. Research Interests: His research spans STEM education, informal and free-choice learning, citizen science, place-based education, and out-of-school time learning. He investigates how individuals engage with science in non-traditional settings such as museums, national parks, and virtual platforms, with a focus on broadening participation and improving access for underrepresented groups. The recent publications reflect a consistent focus on designing and evaluating innovative educational experiences, particularly through citizen science and augmented reality. Themes include participation frameworks, assessment of learning outcomes, and professional development in informal STEM education. His work often bridges education, environmental science, and public engagement. Scientific Awards: No awards listed in the provided text. Advising and Grants: While specific students and grants are not mentioned, his leadership of the STEM Research Center suggests active mentorship and grant-funded research in informal STEM learning. He collaborates widely across institutions and disciplines to advance research and policy in science education. Labs and Teams: He directs the STEM Research Center at Oregon State University, a collaborative team conducting applied research on STEM education and public science engagement. The center emphasizes interdisciplinary collaboration and practical impact in educational policy and practice.

Leo Krasnozhonمشاهده پروفایل

دانشیار

• Political Economy of Governance
• Public Choice Economics
• Economic Development of Ukraine and Eastern Europe
• +۳ مورد دیگر

Leo Krasnozhon is an Associate Professor of Economics and holder of the Dr. John V. Connor Professorship in Economics and Finance at the College of Business at Loyola University New Orleans. He earned his PhD in Economics from George Mason University MA in Economics from Clark University BA in Economics from Kharkiv State University (Ukraine) . His research focuses on the political economy of governance , public choice economics , and the economic development of Ukraine and Eastern Europe . He has published over 20 peer-reviewed articles and book chapters, with recent work analyzing interstate conflicts, institutional transitions, and educational innovations. His popular media contributions include PBS NewsHour , Forbes , World Politics Review , and Kyiv Post . Scientific awards include the 2013 Best Educational Paper award from the Association of Private Enterprise Education SSRN Top Ten download list for Economics Educator eJournal (2013, 2018, 2020) . He advises the Loyola Economics Club , which hosts 12 annual events, and has co-authored studies with students like Pedro Benitez and David Simpson . His work has been cited over 93 times, and he serves as a referee for journals including Southern Economic Journal and Review of Austrian Economics .

Gerdus Benadeمشاهده پروفایل

استادیار

• Computational Social Choice
• Fair Division
• Discrete Optimization
• +۴ مورد دیگر

Gerdus Benade is an Assistant Professor in the Information Systems department at Boston University's Questrom School of Business and a Junior Faculty Fellow at the Rafik B. Hariri Institute for Computing and Computational Science & Engineering. His research sits at the intersection of computer science and economics, focusing on making group decisions under uncertainty and the fair division of resources in dynamic settings. Boston University, Questrom School of Business (Current) Carnegie Mellon University, Tepper School of Business (PhD) Stellenbosch University (MSc) Benade's research primarily explores computational social choice, fair division and discrete optimization, with particular interest in applications to traditionally political issues like voting, participatory budgeting and political districting or gerrymandering. His work spans theoretical foundations of fair allocation mechanisms and practical implementations addressing real-world problems in democratic decision-making processes. He has made significant contributions to understanding how to achieve Rawlsian justice in food rescue systems, develop fair redistricting algorithms that balance optimization with partisan fairness, and design participatory budgeting methods that work effectively in practical settings. Analysis of Benade's recent publications reveals a consistent trajectory toward increasingly practical applications of computational social choice theory. While early work focused on theoretical foundations of fair division and social welfare functions, recent papers address concrete implementation challenges in participatory budgeting, political redistricting, and food distribution systems. His research demonstrates a distinctive approach that bridges theoretical computer science with real-world policy implications, particularly in democratic processes where computational methods can enhance fairness and representation. Benade's work has been recognized through presentations at major conferences including the ACM Conference on Economics and Computation (EC), NeurIPS, and AAAI. His research on political redistricting has been mentioned in The Washington Post, and his work on sortition was featured in Bloomberg. Benade has advised on projects involving Amazon's supply chain optimization technologies and collaborated with researchers at institutions including Harvard University and the MGGG Redistricting Lab. His teaching includes Machine Learning for Business Analytics courses at Boston University. As a Junior Faculty Fellow at the Rafik B. Hariri Institute, Benade contributes to interdisciplinary research at the intersection of computing and societal challenges, working alongside researchers addressing complex problems through computational approaches.

• Corporate management
• Value-added knowledge management
• Strategic alliances
• +۲ مورد دیگر

Thomas Mellewigt is Professor and Chair Holder at the Department of Economics, Institute for Management, Free University of Berlin, Germany. His research focuses on corporate management, strategic alliances, outsourcing, and organizational economics, with particular emphasis on value-added knowledge management in strategic cooperation. Education and Academic Achievements Professor Mellewigt has received notable academic awards including: 1998 Stinnes Foundation Award for his dissertation "Corporate Organization and Corporate Management - an Empirical Study of Listed Companies" 1990 University of Paderborn Award for his diploma thesis "Efficiency of Conflicts in Decision-Making Processes - an Experimental Study" Research Focus His research encompasses several key areas: Corporate Management: Especially value-added knowledge management and strategic decision-making processes Strategic Alliances: Governance mechanisms, alliance structure choice, and performance implications Outsourcing: Contract design, trust relationships, and interorganizational governance Organizational Economics: Transaction cost economics, resource-based view, and real options theory applications Publications and Research Impact Professor Mellewigt's extensive publication record spans top-tier journals including Strategic Management Journal, Journal of Business Research, Journal of Applied Psychology, and British Journal of Management. His research demonstrates a consistent focus on governance mechanisms in interorganizational relationships, with particular attention to how firms structure alliances and outsourcing relationships to maximize value creation while minimizing transaction costs. Research Methodology His work employs diverse methodological approaches including: Empirical studies across various industries (telecommunications, automotive, banking) Experimental research on decision-making processes Meta-analyses of entrepreneurship and alliance research Longitudinal studies on organizational phenomena

Markus Ewertمشاهده پروفایل

پژوهشگر

• Game Theory
• Auction Theory
• Market Design
• +۴ مورد دیگر

Markus Ewert is a PhD researcher at the Decision Sciences & Systems group within the Department of Computer Science at the Technical University of Munich (TUM), supervised by Prof. Martin Bichler since May 2021. His work bridges computer science, economics, and operations research to advance computational methods for game-theoretic market analysis, with a focus on behavioral equilibria in incomplete information settings. His educational background includes: Master in Information Systems (M.Sc.) from Technical University Munich (2018-2020) Bachelor in Statistics (B.Sc.) from Ludwig-Maximilians-University Munich (2016-2021) Bachelor in Information Systems (B.Sc.) from Technical University Munich (2014-2017) Ewert's research centers on game theory and market design, specializing in auction theory, equilibrium computation, and behavioral modeling. He develops novel computational frameworks integrating machine learning with economic theory to analyze strategic interactions in complex markets. His work particularly addresses human behavior anomalies in auctions through equilibrium learning and Bayesian optimization techniques, contributing to more robust market mechanism design. His publication record reveals a strong trajectory in merging computational methods with economic theory, with recent work emphasizing structural estimation via optimal transport and equilibrium learning for asymmetric market environments. Key themes include resolving the overbidding puzzle in all-pay auctions, designing robust mechanisms for utility asymmetries, and computational approaches to Bayes-Nash equilibria in crowdsourcing contests. Ewert actively mentors students through bachelor and master thesis supervision, guiding projects spanning derivative-free optimization, market mechanism design, and behavioral game theory applications. His advisees frequently collaborate with industry partners including SWM, Mercedes-Benz AG, SAP, and NavVis on energy systems, investment strategies, and sales analytics. As a core member of TUM's Decision Sciences & Systems research group, he contributes to teaching courses in Business Analytics and Learning in Games while advancing the group's mission in optimization, market design, and computational social choice through ongoing research projects.

• Cognitive Modelling
• Artificial Intelligence
• Decision-Making
• +۳ مورد دیگر

Dr. Leendert van Maanen is an Associate Professor at the Department of Experimental Psychology, Utrecht University, where he studies cognitive mechanisms underlying information processing and decision-making. His research focuses on developing and validating computational cognitive models, with applications in human-machine interaction and cognitive neuroscience data analysis. Research Themes: Cognitive Modeling, Decision-Making, Human-Centered Artificial Intelligence, Applied Data Science Labs: Leads the COBRA (Cognitive and Behavioral Research in Artificial Intelligence) lab His work spans three levels of cognitive integration in AI: model development, human-machine deployment, and neural data analysis. Recent projects include cognitive strategy detection, digital twin user modeling, and neural event detection using multivariate time series. For collaborations and publications, see leendertvanmaanen.com or Utrecht University Research Portal.