Eric Leeper is the Paul Goodloe McIntire Professor in Economics at the University of Virginia (since 2018) and Director of the Virginia Center for Economic Policy. He is also a Research Associate at the National Bureau of Economic Research and serves on advisory councils for the Federal Reserve Bank of Atlanta and Bundesbank. Previously, he held the Rudy Professorship at Indiana University and worked in the Federal Reserve System. Ph.D. in Economics (University of Minnesota, 1989) B.S. in Economics (George Mason University, 1980) His research focuses on macroeconomic policy modeling, emphasizing monetary-fiscal interactions, the fiscal theory of the price level, sovereign risk, and fiscal limit analysis. Recent work examines government spending impacts, fiscal imbalances resolution, and heterogeneous-consumer environments in fiscal inertia. Key publication themes include fiscal theory of the price level, inflation dynamics, sovereign debt risk, policy regime shifts, and monetary-fiscal coordination challenges. Articles frequently address historical policy frameworks (e.g., Great Depression) and modern crises like the post-COVID inflationary period. Appointments required for office hours. Contact: Monroe Hall, Room 252, University of Virginia; 434-924-3933.
Jordi McKenzie is an Associate Professor in the Department of Economics at Macquarie University. His research focuses on industrial organization, cultural economics, and digitization, with notable contributions to digital piracy, film industry economics, and generative AI in media. He holds degrees from the University of Sydney (PhD, MEc Hons) and the University of Tasmania (BEc Hons). Education: PhD in Economics, University of Sydney MEc (Hons) in Economics, University of Sydney BEc (Hons) in Economics, University of Tasmania Research interests include AI ethics in content creation, cultural trade patterns, and the economic impact of streaming services. His work has been published in journals like Poetics and Journal of Cultural Economics . He has contributed to policy discussions on digital piracy, music industry recovery post-pandemic, and author rights in AI-generated content. Recent projects include studying the transformation of data into trusted data products, digital piracy policy impacts, and subscription video on demand’s effect on legal/illegal consumption. He received the Mallen Lifetime Achievement Award in 2014 for contributions to film industry economics. McKenzie has engaged in media commentary on topics like Netflix’s viewing metrics, music collaboration impacts, and talent show biases. His research often bridges empirical evidence and policy implications, emphasizing the cultural and economic dimensions of digitization.
Hua Jonathan Ye serves as an Associate Professor in the Management Information Systems Division at the Michael F. Price College of Business, University of Oklahoma, following prior appointments at the University of Waterloo and the University of Auckland. He holds a Ph.D. in Information Systems from the National University of Singapore. His academic background includes: Ph.D. in Information Systems, National University of Singapore Ye's research centers on digital innovation ecosystems, with primary focus areas in crowdsourcing dynamics, generative AI applications, crowdfunding mechanisms, and digital business model innovation. He examines how online communities foster value co-creation through user participation, platform design, and novel incentive structures, particularly investigating performance outcomes in open innovation contexts. His publication record (2015-2025) demonstrates consistent output in premier journals including MIS Quarterly and Journal of Management Information Systems, with recent work analyzing medical crowdfunding behaviors, generative AI product valuation, and ambidexterity in innovation contests. This body of work reveals an evolving trajectory from mobile service innovation toward AI-driven platform economies. Professional recognition includes: Research Excellence Award (University of Auckland Business School, 2017) Best Conference Track Paper Award (ICIS Dublin, 2016) Social Media Revenue Opportunities research recognition (University of Waterloo, 2021) LSE Business Review feature for user innovation framework (2015) Ye serves as Associate Editor for Information Systems Frontiers and European Journal of Information Systems. The source material contains no details regarding student advising, research grants, or laboratory affiliations.
Yan Huang is an Associate Professor in the Department of Software Engineering and Game Development at Kennesaw State University (KSU). His work bridges Federated Learning (FL) and Cybersecurity Education , with a focus on personalization and privacy in distributed systems. Research spans Machine Learning , Extended Reality (XR) , and Data Privacy . He has served as Editor of WCMC and Program Co-Chair for CyberSciTech 2020-2024. Research Trends: Recent publications emphasize Federated Learning for non-IID data, VR-based Cybersecurity Education , and Privacy-Preserving Algorithms in IoT and social media analytics. Key subfields include personalized learning architectures, graph learning, and game-theoretic privacy frameworks. Scientific Awards: Excellent Paper Award (Tsinghua Science and Technology, 2021) Best Paper Award (Future Generation Computer Systems, 2019) Best Paper Awards at IEEE SmartWorld 2021, COCOA 2019, and WASA 2019 Grants: Led over $600,000 in NSF and NSA-funded projects, including VR cybersecurity education for K-12 and XR engineering curricula. His lab recruits VR/AR Research Assistants via industry partnerships.
Jinzhao Du serves as Associate Professor of Marketing at The University of Hong Kong's Faculty of Business and Economics, where he also holds the position of BBA Deputy Programme Director and Admissions Tutor. His academic journey includes a Ph.D. in Marketing from Duke University (2018) and a B.A. in Economics from Tsinghua University (2012). His educational background includes: Ph.D. in Marketing, Duke University, 2018 B.A. in Economics, Tsinghua University, 2012 Professor Du's research centers on platform-based marketing, with particular emphasis on media platforms and matching platforms. His work examines strategic interactions among multiple players in media ecosystems (publishers, consumers, advertisers, content suppliers, and news aggregators) and investigates how information design, strategic pricing, and AI development can improve matching outcomes. He employs game-theoretic models to analyze these complex market dynamics, with growing attention to how consumer data rights and AI tools are reshaping platform marketing landscapes. His publication portfolio reveals consistent contributions to top marketing and operations journals, with recent work focusing on personalized product offerings, ride-hailing platform operations, customer review systems, media platform competition, and publisher-aggregator relationships. The research demonstrates a strong theoretical foundation while addressing practical challenges faced by platform companies. Notable recognition includes: 2022 Research Output Prize in the Faculty of Business and Economics at HKU Professor Du actively mentors doctoral students, including executive professionals pursuing DBAs, and teaches courses including Pricing Strategies and Tactics (MSMK 7031), Pricing Strategies (MKTG3527), and Introduction to Marketing (MKTG2501). His industry engagement informs his research on organizational communication and platform strategy, bridging academic theory with practical business applications. He has also shared insights on platform competition strategies, ethical pricing approaches, and the importance of quantitative skills in modern marketing.
Bill Howe is an Associate Professor at the University of Washington's Information School, with adjunct appointments in Computer Science & Engineering and Electrical Engineering. He serves as Founding Program Director and Faculty Chair of the UW Data Science Masters Degree, Founding Associate Director and Senior Data Science Fellow at the UW eScience Institute, Director of the Urbanalytics Lab, and Co-Founding Director of the Center for Responsible AI Systems and Experiences. He also co-founded Urban@UW and created the first Data Science MOOC through Coursera. His research focuses on making data science accessible in public sector applications with emphasis on equity, privacy, and compliance. Current interests include: Algorithmic fairness in urban and social contexts Privacy-preserving synthetic data generation Machine learning for heterogeneous data Database systems and high-performance computing Human-computer interaction for data systems Responsible AI development and deployment Publication analysis reveals strong focus on responsible data science, with recent work emphasizing differential privacy, COVID-19 data equity, urban mobility fairness, and relational data systems. Earlier foundational work established contributions to scientific workflow systems and data pricing models. Awards and Honors: Runner-up Best Paper Award (VLDB 2023) Best Paper Award (SIGMOD 2019) Best Paper Award (VIs 2019) Best Paper Award (InfoVis 2018) He leads the Urbanalytics Lab and advises multiple students including An Yan (fairness in urban mobility), Sean Yang (machine learning embeddings), and Dominik Moritz (visualization systems). His projects span EZLearn for automatic claim validation, privacy-preserving synthetic data, and Myria middleware for polystores.
Breffni Noone serves as an Associate Professor in the School of Hospitality Management within Pennsylvania State University's College of Health and Human Development, specializing in revenue management and profit optimization across hospitality assets including hotels, restaurants, golf facilities, and spas. Her work bridges theoretical research with practical industry applications through data-driven decision frameworks. Dr. Noone earned her Ph.D. in Operations Management from Cornell University (2004), an M.B.S. from Dublin City University, Ireland (1996), and a B.Sc. in Management/Higher Diploma in Hotel & Catering Management from University of Dublin, Trinity College and Technological University Dublin, Ireland (1994). Her academic journey reflects deep integration of operations research and hospitality management. Her research centers on revenue management systems, consumer behavior in pricing contexts, and sustainable profit optimization. Key investigations include scarcity-based promotions, menu engineering, online booking psychology, and non-traditional revenue applications in golf. She emphasizes data visualization and operational design to balance profitability with social and environmental responsibility, examining how non-price information shapes consumer decisions across service encounters. Analysis of her 15 most recent publications reveals expanding research scope from core hotel revenue management into crisis resilience, social inclusion, and cross-industry applications. Recent work addresses waiting-time psychology, employment biases against houseless individuals, and AI-driven commercial talent development, demonstrating adaptation to contemporary industry challenges while maintaining methodological rigor in experimental and field studies. No scientific awards were documented in the provided materials, though her consistent publication record in top-tier journals like Journal of Hospitality and Tourism Research and International Journal of Hospitality Management indicates significant scholarly impact. Dr. Noone's grant-funded research focuses on pricing strategy effectiveness, non-price information processing in consumer decisions, service encounter management frameworks, and revenue management decision tools. Her projects generate actionable insights for hospitality operators through empirical analysis of consumer responses to scarcity cues, photograph content, and cultural variables in booking behavior, directly informing industry revenue optimization practices.
Ben Collier is an Assistant Teaching Professor of Business Analytics at the Tepper School of Business , Carnegie Mellon University. He holds a PhD in Information Systems and Organizational Behavior from Carnegie Mellon and has extensive experience in data science leadership roles in industry. PhD, Information Systems and Organizational Behavior (2012), Carnegie Mellon University MS, Information Systems and Organizational Behavior (2009), Carnegie Mellon University MBA, Information Systems (2007), University of Wisconsin-Madison BBA, Management Computer Systems and Mathematics (2004), University of Wisconsin-Whitewater His research focuses on data mining for business , data visualization , and large-scale experimental design , with applications in healthcare analytics, online community dynamics, and gender equity in technology. His recent work includes monetization data science for Duolingo's $6.5 billion IPO and developing UPMC's CognitiveRx analytics engine. Ben's publications span topics including gender gaps in Wikipedia , leadership in open collaboration communities , and conflict resolution in crowdsourced platforms . He has served on CMU committees for curriculum review and summer summit planning, and actively advises MSBA capstone projects.
Florian Stahl is Professor of Marketing at the University of Mannheim, affiliated with the Department of Business Administration in the Business School. His research focuses on empirical quantitative marketing, digital transformation, and marketing analytics, with applications in digital communications, pricing, and social media. His research interests include: Empirical Quantitative Marketing Marketing Analytics Digital and Social Media Marketing Economics of Data and Digital Products Brand and Advertising Strategy Behavioral and Experimental Marketing Methodologically, he employs applied econometrics, machine learning, and experimental designs. His recent publications center on influencer marketing, online reviews, network effects, and digital content strategies, reflecting a strong trend toward understanding consumer behavior in digital ecosystems using data-driven approaches. His scientific awards include: H. Paul Root Award (2012) MSI Best Paper Award (2012) Donald R. Lehmann Award (2021) IJRM Best Paper Award (2014) Finalist, Paul E. Green Award (2021) Finalist, Harold H. Maynard Award (2012) Florian Stahl has advised numerous research projects and published in top-tier journals, contributing significantly to marketing science. He has held research grants and collaborative projects, though specific grant details are not listed. He leads the Chair of Quantitative Marketing and Consumer Analytics and maintains an active research team focused on digital marketing innovations. His lab, the Quantitative Marketing and Consumer Analytics team, conducts cutting-edge research on user-generated content, influencer dynamics, and digital strategy, leveraging real-world data and experiments.
Prof. Dr. Andreas U. Lanz is a marketing professor at the University of Basel since 2023, joining from HEC Paris. His research focuses on social networks and micro-influence strategies , with award-winning work on digital content dissemination. Education : Doctoral degree from the University of Mannheim Research Interests : Andreas Lanz specializes in influencer marketing , network dynamics , and digital consumer behavior . His work explores how micro-influencers drive content virality, status-based network seeding, and economic models for creator platforms. He co-chairs the Creator Economy Retreat and EMAC Creator Economy Special Interest Group . Recent Publications : His 2025 Management Science paper examines creator economy value chains, while 2024 Journal of Marketing studies optimize influencer targeting through triadic closure. Earlier works in MIS Quarterly and Journal of Marketing Research address social capital formation and adaptive modeling techniques. Scientific Awards : Outstanding Reviewer Award (Journal of Marketing, 2024) ISMS Early-Career Fellowship (2023) AMA Don Lehmann Award (2021, 2025) SAMS Rigour & Relevance Award (2020) EMAC/Sheth Foundation Dissertation Runner-up (2018) Academic Service : Editorial board member for Journal of Marketing and Marketing Science , organizer of the EMAC Job Market Simulation , and contributor to digital marketing education frameworks.
Claudia Álvares is an Associate Professor (with Habilitation) in the Department of Sociology at ISCTE - University Institute of Lisbon, where she researches Media Studies, Gender Studies, and Cultural Politics. She serves as an Integrated Researcher at CIES-Iscte (Center for Research and Studies in Sociology), focusing on Communication and Culture. Her academic credentials include a PhD in Media & Communication Studies from Goldsmith's College, University of London (2001), a Master's in Journalism from the same institution (1996), and a Bachelor's in Social Communication from New University of Lisbon (1992). She completed her Aggregation in Communication Sciences at ISCTE in 2023. Álvares leads groundbreaking research in media platformization , disinformation ecosystems , and gendered media representations . Her projects analyze how digital platforms reshape European identity, civic engagement, and journalistic practices. She employs critical theory frameworks to examine power dynamics in algorithmic systems and identity politics. Current international collaborations include coordinating EUMEPLAT (European Media Platforms) and researching for IBERIFIER Plus (Iberian Digital Media Observatory). Her scholarly output demonstrates consistent focus on digital democracy , gender asymmetry in media , and discursive polarization . Recent articles explore AI's societal impact, fiscal citizenship, and toxic online debates, often using comparative methodologies across European contexts. Works consistently intersect technology studies with critical cultural analysis. Honors and Evaluations Member, European Science Foundation College of Experts President, European Communication Research and Education Association (2012-2016) Editor, Routledge Studies in European Communication Research Senior Editor, Cogent Social Sciences Evaluator for European Research Council, British Academy, and national research agencies Academic Leadership Supervises 23 doctoral candidates and 81 Master's students researching media populism, digital activism, and gender representation. Coordinates courses including: Media and Sociocultural Mediations (PhD) Research Design (Master's) Media Geopolitics Discursive Practices Leads research groups at CIES-Iscte investigating platform governance and cross-cultural communication. Secured multiple EU grants for projects combating disinformation and analyzing media externalities.
Avi Goldfarb is Professor of Marketing at the Joseph L. Rotman School of Management, University of Toronto, where he holds the Rotman Chair in Artificial Intelligence and Healthcare. He serves as Chief Data Scientist at the Creative Destruction Lab and Research Associate at the National Bureau of Economic Research (NBER). His academic career spans 2002-2012 as Assistant and Associate Professor, becoming Professor of Marketing in 2012. Rotman Chair in Artificial Intelligence and Healthcare (2018-present) Professor of Marketing (2012-present) Research Associate, NBER (2014-present) Chief Data Scientist, Creative Destruction Lab (2015-present) Research Interests : Specializing in digital economics and the economics of artificial intelligence, his work bridges technology, marketing, and public policy. Key focus areas include: Digital economics and platform behavior AI adoption in healthcare systems Quantum computing economic implications Privacy regulation and data markets AI's impact on labor and inequality General purpose technology frameworks Publication Trends : His recent work spans AI implementation strategies across industries, digital behavior economics, and emerging technology commercialization. Key subfields include AI adoption patterns, digital privacy frameworks, quantum computing applications, and workplace health safety analytics. Scientific Recognition : INFORMS Society of Marketing Science Long Term Impact Award (2018) Roger Martin Award for Excellence in Teaching (2017) Leadership Roles : Former Senior Editor at Marketing Science (2016-2021), with editorial board memberships at Management Science, Journal of Marketing Research, and Journal of Economics and Management Strategy. He contributes to the Acceleration Consortium and Schwartz Reisman Institute for Technology and Society.
Ajay Kapur serves as Associate Provost for Creative Technologies and Director of the Music Technology program (MTIID) at California Institute of the Arts. With an interdisciplinary background spanning computer science, electrical engineering, and music, he bridges technological innovation with artistic expression through leadership in academic programs and entrepreneurial ventures. His research centers on symbiotic human-machine interaction for artistic creation, particularly exploring computer improvisation with humans through Indian Classical music frameworks. This manifests in developing programmable mechatronic instruments, sensor-based interfaces, and AI-driven systems for musical expression. His work extends traditional techniques while creating new performance paradigms like the globally touring Machine Orchestra and KarmetiK Orchestra. Kapur's recent publications reveal evolving expertise from music robotics to blockchain applications, with significant focus on NFT systems, tokenization, and immersive environments. His scholarly output demonstrates consistent innovation at the intersection of artistic practice and emerging technologies. As an educator and entrepreneur, he has co-founded companies in edtech and AI while authoring foundational texts like Digitizing North Indian Music and Introduction to Programming for Musicians and Digital Artists . His performances at venues including LACMA, Singapore Arts Festival, and the 2010 Winter Olympics showcase practical applications of his research.
Tarun Ramadorai is Professor of Financial Economics at Imperial College London, with a distinguished career spanning household finance, financial economics, behavioral economics, real estate, and international finance. He serves as Executive Editor of the Review of Financial Studies and holds prestigious fellowships including Research Fellow of the Centre for Economic Policy Research (CEPR), Senior Academic Fellow of the Asian Bureau of Finance and Economics Research (ABFER), and Nonresident Senior Fellow at the National Council of Applied Economic Research (NCAER). Education BA in Mathematics and Economics from Williams College MPhil in Economics from the University of Cambridge PhD in Business Economics from Harvard University Research Interests Professor Ramadorai's research spans household finance, financial economics, behavioral economics, real estate, and international finance. His work examines how households make financial decisions across different markets and countries, with particular focus on housing markets, investment behavior, and financial inclusion. He has established himself as a leading expert in international comparative household finance, having previously served as Principal Investigator on a transformational initiative financed by the Sloan Foundation to establish this sub-field of finance and economics. His recent research explores the intersection of technology and personal finance, housing market dynamics, and optimal tax policy. He has demonstrated how housing costs impact fertility decisions, how machine learning affects credit markets, and how privacy policies influence consumer data extraction. His work combines rigorous theoretical frameworks with innovative empirical approaches using large-scale datasets from diverse markets. Publication Trends Professor Ramadorai's recent publications reveal a strong focus on household decision-making in financial markets, with increasing attention to the digital transformation of finance. His work bridges theoretical insights with practical policy implications, particularly in emerging economies. There is a clear trend toward interdisciplinary research that combines finance, economics, and data science to address pressing questions about financial inclusion, housing affordability, and the impact of technology on traditional financial services. Scientific Awards Brattle prize for best paper in the Journal of Finance Jensen prize for the best paper in the Journal of Financial Economics Wharton School-WRDS Best Paper Award in Empirical Finance James A Lebenthal Excellence in Municipal Finance Research Prize FMA Napa Conference Best Paper Prize INQUIRE Europe third prize Viz Risk Management Best paper prize Policy Engagement and Advisory Roles Professor Ramadorai has made significant contributions to policy discussions worldwide. He served as Chairman of the Inter-Regulatory Committee on Household Finance constituted by the Reserve Bank of India, which produced the influential "Indian Household Finance" report. He has advised numerous institutions including the Economic Advisory Council to the Prime Minister of India, the European Securities and Markets Authority, and the Norwegian Sovereign Wealth Fund. Currently, he co-chairs the Fintech workstream of the India-UK Financial Partnership, helping to shape the future of financial technology across borders. Research Initiatives Professor Ramadorai previously led the Initiative on International Comparative Household Finance, funded by the Sloan Foundation, which established household finance as a distinct sub-field of research. He is in the process of setting up a new initiative at Imperial College Business School to further advance this area of study. His work has influenced both academic research and practical policy interventions in financial markets around the world.
Kirstie Ball is a Professor of Management at the School of Management, University of St Andrews. She is co-director and founder of CRISP (Centre for Research into Information, Surveillance and Privacy), a joint research centre between St Andrews, Edinburgh, Stirling, and Essex Universities. She also holds external roles as a Research Fellow at the Surveillance Studies Centre, Queen’s University (Canada), and as a Visiting Professor at the Centre for Business in Society, Coventry University (UK). Education: PhD in Computer-Based Monitoring in UK Service Organizations (Aston University, 1996) MSc in Engineering (University of Birmingham, 1993) LLB (Hons) (University of Birmingham, 1989) Her research focuses on surveillance in organizations and society , emphasizing subjectivity under surveillance and organizational forms of pervasive employee monitoring, surveillance-industrial complexes, and big data consumer surveillance. Key projects include Big Data Surveillance (2016–2020) and Monetize Me? Privacy and the Quantified Self in the Digital Economy (2014–2017). Articles highlight her work on data protection frameworks, surveillance in the gig economy, and workplace privacy. Scientific awards include her ESRC Management Research Fellowship (1997–1999). She has advised the UK Information Commissioner, NGOs, and media on surveillance issues and co-founded the journal Surveillance and Society and the Surveillance Studies Network, a charitable educational organization.
