About Our Authors
Gediminas Adomavicius (“Bidder Support in Multi-item Multi-unit Continuous Combinatorial Auctions: A Unifying Theoretical Framework”) is a professor of information and decision sciences at the University of Minnesota and holds the Larson Endowed Chair for Excellence in Business Education. He studies recommender systems, machine learning, and electronic market mechanisms. He received the NSF CAREER Award for research on recommender systems. He has served as senior editor for Information Systems Research and MIS Quarterly, and is a Distinguished Fellow of the INFORMS Information Systems Society.
Mehmet Eren Ahsen (“The Societal Impact of Sharing Economy Platform Self-Regulations—An Empirical Investigation”) is an assistant professor in the Department of Business Administration, Gies College of Business, University of Illinois at Urbana–Champaign. He received his PhD from the Department of Bioengineering at the University of Texas at Dallas. His research broadly addresses the use of information and IT to reduce inefficiencies in healthcare. In particular, he is interested in developing and using artificial intelligence tools to improve decision making in healthcare organizations.
Yannis Bakos (“Overcoming the Coordination Problem in New Marketplaces via Cryptographic Tokens”) is an associate professor of information systems at the Department of Technology, Operations and Statistics at NYU’s Stern School of Business. His research focuses on the implications of information technology for pricing and competition. Before NYU, he was on the faculties of the University of California–Irvine, and MIT’s Sloan School of Management. Yannis received a PhD in management from MIT.
Ravi Bapna (“Introduction to the Information Systems Research Special Section on Market Design and Analytics”) is the Curtis L. Carlson Chair in Business Analytics and Information Systems at the Carlson School of Management and the Academic Director of the Analytics for Good Institute. Bapna is a Distinguished Academic Fellow of the INFORMS Information Systems Society. His work has been published in numerous journals, including Management Science, Information Systems Research, and MIS Quarterly among others.
Amit Basu (“Analyzing the Impact of Public Buyer–Seller Engagement During Online Auctions”) is the Carr P. Collins Chair and professor at the Cox School of Business at Southern Methodist University. He received his PhD from the University of Rochester. His research has been published in journals such as Management Science, Information Systems Research, JMIS, IEEE TKDE, the Sloan Management Review, IEEE Computer, CACM, and the Wall Street Journal. He has served on the editorial boards of Management Science, Information Systems Research, and several other journals.
Siddharth Bhattacharya (“How Network Embeddedness Affects Real-Time Performance Feedback: An Empirical Investigation”) is an assistant professor in information systems and operations management at the School of Business at George Mason University (GMU). Before joining GMU, he completed his PhD from Temple University. His research focuses on how firms use digital information strategies to increase reach and influence consumer decision making. He also holds an MBA from Indian School of Business and a BE in computer science engineering from India.
Martin Bichler (“Introduction to the Information Systems Research Special Section on Market Design and Analytics”) holds the Chair for Decision Sciences & Systems at the Department of Computer Science of the Technical University of Munich. He is a former President of the INFORMS section on Auctions and Market Design. His work has been published in numerous journals, including Nature Machine Intelligence, PNAS, Management Science, and Information Systems Research among others.
Benedikt Bünz (“Designing Core-Selecting Payment Rules: A Computational Search Approach”) is a PhD student in applied cryptography at Stanford University. Previously, he obtained a bachelor’s in computer science from the University of Zurich with a focus on computational game theory and a master’s from Stanford with a focus on artificial intelligence. Benedikt’s current research focuses on applied cryptography and game theory. Applications of his work reach from cryptocurrencies to spectrum auctions. His work is being used in cryptocurrencies such as Chia, Monero, and Ethereum.
Gordon Burtch (“Managing Congestion in a Matching Market via Demand Information Disclosure”) is the Kelli Questrom Associate Professor in Management at Boston University. He has received the AIS and INFORMS ISS Early Career Awards, and Information Systems Research’s Best Paper, Best Reviewer, and Best Associate Editor Awards. His work has appeared in several top journals, including Management Science, Manufacturing & Service Operations Management, Information Systems Research, MIS Quarterly, and the Harvard Business Review. He serves as an Associate Editor for both Information Systems Research and Management Science.
Pei-Yu Chen (“The Screening Role of Design Parameters for Service Procurement Auctions in Online Service Outsourcing Platforms”) is the Earl and Gladys Davis Distinguished Research Professor and Chair of the Department of Information Systems at the W.P. Carey School of Business, Arizona State University. Her work has been published in leading business journals, such as Management Science, Information Systems Research, MIS Quarterly, Operations Research, and Production and Operations Management. She currently serves as senior editor for Information Systems Research and associate editor for Management Science.
Bob Day (“Introduction to the Information Systems Research Special Section on Market Design and Analytics”) is the GE Capital Professor of Business at the University of Connecticut. He is a former president of the INFORMS section on Auctions and Market Design and an award-winning author in the design of combinatorial auctions. He holds a PhD in Applied Mathematics with a concentration Operations Research from the University of Maryland and continues to study optimization-based approaches to complex markets in both theory and in practice.
Xu Guan (“Seller Organization and Percentage Fee Design in the Daily Deal Market”) is a professor at the School of Management, Huazhong University of Science and Technology. He received his PhD from the School of Management, Huazhong University of Science and Technology in 2013. His research interests lie in information design, game theory, and supply chain management. His research work has been published in highly recognized journals including Production and Operations Management, Journal of Retailing, Naval Research Logistics, and Decision Sciences, among others.
Alok Gupta (“Editorial: There Are Promises to Keep and Miles to Go Before I Leave…”, “Bidder Support in Multi-item Multi-unit Continuous Combinatorial Auctions: A Unifying Theoretical Framework”, “Buyers’ Strategic Behavior in B2B Multichannel Auction Markets: When an Online Posted Price Channel Is Incorporated into a Dutch Auction System”, “Intellectual Diversity in IS Research: Discipline-Based Conceptualization and an Illustration from Information Systems Research”) is Curtis L. Carlson schoolwide chair in information management; he also serves as the senior associate dean for faculty and research. He has received numerous awards such as prestigious National Science Foundation CAREER Award, INFORMS Information Systems Society (ISS) Distinguished Fellow, AIS Fellow, AIS LEO Award, ISS President’s Service Award, AIS Impact Award, ISS Practical Impact Award and ISS Design Science Award three times. Many of his articles have won best paper awards from AIS, Information Systems Research, and Journal of the Association of Information Systems.
Hanna Halaburda (“Overcoming the Coordination Problem in New Marketplaces via Cryptographic Tokens”) is an associate professor of information systems at the Department of Technology, Operations and Statistics at NYU’s Stern School of Business. Her research focuses on platform competition and blockchain economics. Before NYU, she was a senior economist at Bank of Canada and assistant professor at HBS. Hanna received her PhD in economics from Northwestern University.
Wencui Han (“The Societal Impact of Sharing Economy Platform Self-Regulations—An Empirical Investigation”) is an assistant professor in the Department of Business Administration, Gies College of Business, University of Illinois at Urbana–Champaign. Her research interests are in the areas of disruptive innovations, digital transformations, and IT in healthcare, with specific topics including sharing economy, cryptoeconomics and crowdfunding, human–artificial intelligence interactions, and user-generated content.
Yumei He (“Managing Congestion in a Matching Market via Demand Information Disclosure”) is an assistant professor at the A. B. Freeman School of Business, Tulane University. She received her PhD in management information systems from Tsinghua University in 2019. Her research interests lie in digital platforms, digital interventions, and human–artificial intelligence collaboration.
Yili Hong (“Managing Congestion in a Matching Market via Demand Information Disclosure”, “The Screening Role of Design Parameters for Service Procurement Auctions in Online Service Outsourcing Platforms”) is a professor of business technology at the Miami Herbert Business School, University of Miami. Hong is currently a senior editor of Production and Operations Management and an associate editor at Information Systems Research. His research focuses on the future of work, digital platforms, digital content, and human–AI interaction. His research has been published in Management Science, Information Systems Research, MIS Quarterly, Production and Operations Management, among others.
Ni Huang (“Managing Congestion in a Matching Market via Demand Information Disclosure”) is an associate professor of business technology at the Miami Herbert Business School, University of Miami. Her research program focuses on optimal design of digital user experience and IT artifacts in various online and mobile contexts. Her work has been published in premier journals such as Information Systems Research, Management Science, MIS Quarterly (MISQ), and Production and Operations Management. She currently serves as an associate editor of MISQ.
Jaehwuen Jung (“The Secret to Finding a Match: A Field Experiment on Choice Capacity Design in an Online Dating Platform”) is an assistant professor of the management information systems department at Fox School of Business, Temple University. The unifying theme of his research is to causally examine the impact of new technology channels, digital platforms, and technology-enabled features on user behavior and firms’ outcomes. He received a PhD in business administration from Carlson School of Management at the University of Minnesota.
Wolfgang Ketter (“Introduction to the Information Systems Research Special Section on Market Design and Analytics”, “Buyers’ Strategic Behavior in B2B Multichannel Auction Markets: When an Online Posted Price Channel Is Incorporated into a Dutch Auction System”) is a professor of information systems and director of the Cologne Institute of Information Systems, University of Cologne. His research focuses on how digital transformation can create a faster and more stable transition to sustainable energy and mobility. He is also professor and director at Erasmus University and energy policy advisor to the German government. He has served as editor for Information Systems Research (ISR) and MIS Quarterly and has won the best 2020 ISR paper award.
Chul Kim (“The Secret to Finding a Match: A Field Experiment on Choice Capacity Design in an Online Dating Platform”) is an assistant professor of marketing at Baruch College, City University of New York. His research priority is to provide counterfactual insights regarding social media and digital marketing. He also has professional experience as a data scientist at Samsung.
Thomas Kittsteiner (“Competing Combinatorial Auctions”) is a professor of microeconomics at the School of Business and Economics at RWTH Aachen University. He received a PhD in economics from the University of Mannheim. His current research interests are in applications of game theory, especially auctions and mechanism design.
Naveen Kumar (“A Hashtag Is Worth a Thousand Words: An Empirical Investigation of Social Media Strategies in Trademarking Hashtags”) is an assistant professor of management information systems at the Price College of Business, University of Oklahoma. His research focuses on applying econometrics and artificial intelligence techniques in social media and information systems. His work has been published in Information Systems Research, Journal of Management Information Systems, Strategic Management Journal, and others. Before joining academia, he worked for several years as a data science researcher in the high-tech industry.
Subodha Kumar (“A Hashtag Is Worth a Thousand Words: An Empirical Investigation of Social Media Strategies in Trademarking Hashtags”, “How Network Embeddedness Affects Real-Time Performance Feedback: An Empirical Investigation”) is the Distinguished Chair Professor and the Founding Director of the Center for Business Analytics and Disruptive Technologies at Fox School of Business. He is a board member for many organizations. He has published more than 190 articles in journals and referred conferences, two books, and many chapters and cases. Kumar is the deputy editor of Production and Operations Management and founding executive-editor of Management Business Review. He holds a robotics patent and is routinely cited in media.
Young-Jin Lee (“Analyzing the Impact of Public Buyer–Seller Engagement During Online Auctions”) is an associate professor of business information and analytics at the Daniels College of Business, University of Denver. He received his PhD in business administration from the University of Washington. He has published his research in journals such as Management Science, Information Systems Research, JMIS, EJIS, and many others. He is the recipient of the 2017 Management Science Best Paper Award in Information Systems.
Allen S. Lee (“Generalizing the Information Systems Artifact”) is a professor emeritus of information systems at Virginia Commonwealth University. He served as editor-in-chief of MIS Quarterly and as a founding senior editor of MIS Quarterly Executive. He is a fellow of the Association for Information Systems, a LEO Award recipient, and a member of the Circle of Compadres of the Information Systems Doctoral Students Association of the KPMG PhD Project.
Dongwon Lee (“The Secret to Finding a Match: A Field Experiment on Choice Capacity Design in an Online Dating Platform”) is an assistant professor in the information systems, business statistics, and operations management department at the Hong Kong University of Science and Technology. His research interests are customer analytics, mobile commerce, digital nudging, strategic use of information technology, and economics of information systems. He received his PhD in information systems from the University of Maryland and holds an MS and BS from Korea Advanced Institute of Science and Technology.
Yan Li (“Generalizing the Information Systems Artifact”) is an associate professor at Claremont Graduate University. Yan’s research philosophy is grounded in design science and quantitative methods with a strong emphasis on relevance to the domain of interest. Her research focuses on data management and advanced analytics including machine learning, natural language processing, data warehousing, and health analytics.
Chen Liang (“The Screening Role of Design Parameters for Service Procurement Auctions in Online Service Outsourcing Platforms”) is an assistant professor at the operations and information management department, University of Connecticut. She holds a PhD from Arizona State University. Her research interests focus on the future of work, digital platforms, and artificial intelligence. Her research has appeared in Management Science, Information Systems Research, and Production and Operations Management.
Huigang Liang (“Juggling Information Technology (IT) Exploration and Exploitation: A Proportional Balance View of IT Ambidexterity”) is a professor and FedEx Chair of Excellence in Information Systems at the University of Memphis. He received his PhD from Auburn University. His work has appeared in MIS Quarterly, Information Systems Research (ISR), the Journal of Management Information Systems, and the Journal of the Association of Information Systems (JAIS), among others. He has served as an associate editor for MIS Quarterly and is currently an associate editor for ISR and senior editor for JAIS.
Hyungsoo Lim (“The Secret to Finding a Match: A Field Experiment on Choice Capacity Design in an Online Dating Platform”) is a postdoctoral fellow in the information systems, business statistics, and operations management department at Hong Kong University of Science and Technology. His research interests include market design, digital marketing, and multichannel dynamics. He received his PhD, MS, and BS in management engineering from the College of Business, Korea Advanced Institute of Science and Technology.
Benjamin Lubin (“Designing Core-Selecting Payment Rules: A Computational Search Approach”) is currently a clinical associate professor at the Boston University Questrom School of Business. He obtained his bachelor’s and doctorate in computer science from Harvard University in 1999 and 2010, respectively. He works primarily on mechanism design, especially through the integration of machine learning methods. His work has application in areas such as finance, cloud computing, and spectrum allocation.
Abhay Nath Mishra (“Mitigating Risk Selection in Healthcare Entitlement Programs: A Beneficiary-Level Competitive Bidding Approach”) is a Kingland faculty fellow in business analytics and an associate professor of information systems and business analytics at the Ivy College of Business at Iowa State University. He received his PhD from University of Texas at Austin. His research has been published in Information Systems Research, Management Science, MIS Quarterly, Production and Operations Management, Journal of Operations Management, Journal of the American Medical Informatics Association, and MISQ Curation.
Daniel Montanera (“Mitigating Risk Selection in Healthcare Entitlement Programs: A Beneficiary-Level Competitive Bidding Approach”) is an assistant professor of economics at Seidman College of Business at Grand Valley State University. He received his PhD from the University of Western Ontario. His research has been published in European Journal of Health Economics, International Journal of Health Economics and Management, and Journal of Patient Safety and Risk Management.
Marion Ott (“Competing Combinatorial Auctions”) is a researcher at the Market Design Department at Leibniz Centre for European Economic Research (ZEW) Mannheim. She received her PhD in economics from the Karlsruhe Institute of Technology. Her research interests are in auction and mechanism design, with a focus on combinatorial auctions, and the design of markets with a current focus on energy markets.
Mariia Petryk (“How Network Embeddedness Affects Real-Time Performance Feedback: An Empirical Investigation”) is an assistant professor in information systems and operations management, School of Business, George Mason University. She received her PhD from the University of Florida. Her current research focuses on FinTech, economics of blockchain, digital, and mobile platforms, and social networks.
Alain Pinsonneault (“Dealing with the Social Media Polycontextuality of Work”) is the Distinguished James McGill Professor and Imasco Chair of Information Systems in the Desautels Faculty of Management at McGill University. His research interests include the impacts of IT, user adaptation, business models in the digital economy, e-health, and the business value of IT. He has served on the editorial boards of several journals, including MIS Quarterly, Information Systems Research, Organization Science, and Journal of Management Information Systems.
Liangfei Qiu (“A Hashtag Is Worth a Thousand Words: An Empirical Investigation of Social Media Strategies in Trademarking Hashtags”, “How Network Embeddedness Affects Real-Time Performance Feedback: An Empirical Investigation”) is the PricewaterhouseCoopers Associate Professor in the Department of Information Systems and Operations Management, Warrington College of Business, University of Florida. He received his PhD from the University of Texas at Austin. His current research focuses on prediction markets, social networks and social media platforms, telecommunications networks, and economics of information systems.
T. S. Raghu (“Mitigating Risk Selection in Healthcare Entitlement Programs: A Beneficiary-Level Competitive Bidding Approach”) is a professor of information systems in the W. P. Carey School of Business at Arizona State University. He has served on the editorial boards of several journals including Information Systems Research, Decision Support Systems, Journal of the Association for Information Systems, and Information Systems Frontier. He is currently guest editing a special issue of Information Systems Research: “Humans, Algorithms, and Augmented Intelligence: The Future of Work, Organizations and Society.”
Michael Rivera (“How Network Embeddedness Affects Real-Time Performance Feedback: An Empirical Investigation”) is an associate professor of strategy and entrepreneurship in the Department of Management, Fox School of Business, Temple University. He received his PhD from Purdue University. His current research focuses on real-time feedback, digital leadership, digital transformation, strategic analytics, and visualization.
Julian Runge (“Algorithmic Assortative Matching on a Digital Social Medium”) is a visiting scholar at Duke University’s Fuqua School of Business and a postdoctoral fellow at RWTH Aachen University. He obtained his PhD from Humboldt University of Berlin with repeat research visits to Stanford University. Prior to joining Duke, Julian worked as an academic researcher at Facebook. His research focuses on algorithmically created user experiences and consumer behavior on digital platforms.
Sven Seuken (“Designing Core-Selecting Payment Rules: A Computational Search Approach”) received his PhD in computer science from Harvard University in 2011. He is a tenured associate professor of computation and economics at the University of Zurich, associated faculty at the ETH AI Center, as well as founder and CEO of Market Design Consulting GmbH, a consultancy providing market design advice. His research lies at the intersection of AI and game theory, with a focus on market design.
Guohou Shan (“Intellectual Diversity in IS Research: Discipline-Based Conceptualization and an Illustration from Information Systems Research”) is a PhD candidate in the Department of Management Information Systems at the Fox School of Business of Temple University. His current research interests include misinformation, crowdfunding, and real-time employee feedback. His work has been published in Decision Support Systems, Information and Management, IEEE Transactions on Information Forensics and Security, and top information systems conferences such as the International Conference on Information Systems.
Benjamin B. M. Shao (“The Screening Role of Design Parameters for Service Procurement Auctions in Online Service Outsourcing Platforms”) is professor and the associate dean for Asia-Pacific Programs in the W. P. Carey School of Business at Arizona State University. His research interests include digital impacts, data analytics, IS security, and healthcare IT. His research has been published in leading journals of information systems, operations management, computer science, operations research, and mentioned in The Wall Street Journal, Harvard Business Review, The Arizona Republic, and National Public Radio.
Richard Steinberg (“Competing Combinatorial Auctions”) is chair in operations research at the London School of Economics. He has a PhD in combinatorics and optimization from the University of Waterloo. His current research interests are in combinatorial auctions, game theory, and Internet economics. He has published in Management Science, Operations Research, Games and Economic Behavior, and the Journal of Combinatorial Theory Series B. He is editor, together with Peter Cramton and Yoav Shoham, of the book Combinatorial Auctions.
Yao Tang (“Seller Organization and Percentage Fee Design in the Daily Deal Market”) is an assistant professor at the School of Business Administration, Zhongnan University of Economics and Law. He received his PhD from the School of Management, Huazhong University of Science and Technology in 2016. His research fields include platform markets, supply chain management, and game theory, with a current focus on market design and consumer behavior in the daily deal business.
Monideepa Tarafdar (“Intellectual Diversity in IS Research: Discipline-Based Conceptualization and an Illustration from Information Systems Research”) is the Charles J. Dockendorff endowed professor at Isenberg School of Management, University of Massachusetts Amherst. Her prior positions include professor at Lancaster University UK and visiting appointments at MIT Sloan CISR and Indian Institute of Management Calcutta. Her research has been funded by the Leverhulme Trust (UK) and the ESRC (UK), as principal investigator of secured funding of more than 1.5 million USD, and supported by organizations in the United States, United Kingdom, European Union, and India.
Jason Bennett Thatcher (“Intellectual Diversity in IS Research: Discipline-Based Conceptualization and an Illustration from Information Systems Research”) holds the Milton F. Stauffer professorship in the Department of Management Information Systems at Temple University. His research examines sociotechnical and technology management issues in organizations. His work appears in MIS Quarterly, Information Systems Research, and Journal of Applied Psychology. He has served as senior editor for MIS Quarterly and Information Systems Research.
Manoj A. Thomas (“Generalizing the Information Systems Artifact”) is an associate professor of business information systems at the University of Sydney Business School. He has longstanding experience in engaged research and interdisciplinary studies involving information systems. His research has broad implications in how emerging technologies are used in social development and digital transformation. His outreach is global, and his research has been published and presented internationally.
Arvind K. Tripathi (“Analyzing the Impact of Public Buyer–Seller Engagement During Online Auctions”) is an associate professor of information systems at the University of Auckland. He received his PhD in management of information systems from the University of Connecticut. He has served on editorial boards of Production and Operations Management and MIS Quarterly, and has published in Information Systems Research, MIS Quarterly, Journal of Retailing, Research Policy, and European Journal of Operations Research, among others.
May Truong (“Buyers’ Strategic Behavior in B2B Multichannel Auction Markets: When an Online Posted Price Channel Is Incorporated into a Dutch Auction System”) is an assistant professor in information systems at IE Business School. She holds a PhD in information systems from Erasmus University. Her research focuses on digital markets, the economic impact of information technology, and multichannel systems. Her thesis project is also the winner of the Association for Information Systems (AIS) Impact Award at the International Conference on Information Systems (ICIS) 2020.
Emmanuelle Vaast (“Dealing with the Social Media Polycontextuality of Work”) is a professor of information systems at the Desautels Faculty of Management of McGill University. Her research examines how social practices and identities emerge and change with digital technologies. She also studies how social and societal changes unfold with social media. Emmanuelle is a past division chair of the communication, technology, and organization division of the Academy of Management. She has served as senior editor for Information Systems Research.
Eric van Heck (“Buyers’ Strategic Behavior in B2B Multichannel Auction Markets: When an Online Posted Price Channel Is Incorporated into a Dutch Auction System”) is the chaired professor of information management and markets at Erasmus University and a fellow of the Erasmus Research Institute of Management. His research focuses on auction markets, business analytics, digital business design, and digital work. He has received multiple awards such as AIS Sandra Slaughter Service Award, AIS Technology Challenge Award, AIS Impact Award, and INFORMS ISS Design Science Award. He is the author of Technology Meets Flowers: Unlocking the Circular and Digital Economy.
Kristian López Vargas (“Algorithmic Assortative Matching on a Digital Social Medium”) is an assistant professor of economics at the University of California Santa Cruz. He obtained his PhD from the University of Maryland. His research focus is on microeconomics, behavioral economics, and experimental economics, in particular, on market agents’ risk attitudes. In addition to a strong interest in digital platforms, Kristian also worked at the Inter-American Development Bank.
Nianxin Wang (“Juggling Information Technology (IT) Exploration and Exploitation: A Proportional Balance View of IT Ambidexterity”) is a professor of management information systems at Jiangsu University of Science and Technology. He received his PhD from Southeast University of China. His research interests include cloud computing, information technology (IT) business value, and crowdfunding. His research has appeared in Information Systems Research, the Journal of Management Information Systems, and the Journal of the Association for Information Systems. He is senior editor for Information Technology & People.
Xunyi Wang (“The Societal Impact of Sharing Economy Platform Self-Regulations—An Empirical Investigation”) is an assistant professor in the Department of Information Systems and Business Analytics, Hankamer School of Business, Baylor University. He holds a PhD in management science and systems from the State University of New York at Buffalo. His interests are in the areas of sharing economy, digital platforms, healthcare, and gamification. His work has been published in Decision Support Systems, the Journal of the American Medical Informatics Association, and JMIR Medical Informatics.
Sunil Wattal (“The Societal Impact of Sharing Economy Platform Self-Regulations—An Empirical Investigation”) is a professor of management information systems and the Harold Schaefer Senior Fellow at the Fox School of Business, Temple University. Sunil’s expertise focuses on economics of information systems, sharing economy, digital platforms, privacy, social media, and crowdfunded marketplaces. His work has been published in MIS Quarterly, Information Systems Research, Management Science, Journal of Management Information Systems, and IEEE Transactions on Software Engineering.
Yajiong Xue (“Juggling Information Technology (IT) Exploration and Exploitation: A Proportional Balance View of IT Ambidexterity”) is a professor of information systems (IS) at East Carolina University. She has published in MIS Quarterly, Information Systems Research, the Journal of Management Information Systems, the Journal of the Association of Information Systems, and others. Her research interests include IS strategic management and healthcare IS. She is associate editor for Communications of the Association for Information Systems. She received her PhD from Auburn University.
Mochen Yang (“Bidder Support in Multi-item Multi-unit Continuous Combinatorial Auctions: A Unifying Theoretical Framework”) is an assistant professor in the Department of Information and Decision Sciences at the Carlson School of Management, University of Minnesota. His research focuses on designing computational artifacts to facilitate decision making in complex market mechanisms and understanding algorithmic decision making. His research has been published in Information Systems Research, MIS Quarterly, and several leading academic conferences.
Ruizhi Zhang (“Algorithmic Assortative Matching on a Digital Social Medium”) is a data scientist at Meta. Prior to joining Meta, she obtained a PhD in economics from the University of California–Santa Cruz and worked as a research scientist at tech companies in the Bay Area. Ruizhi’s work and research focus on machine learning applications on large-scale digital platforms and behavioral economics.
