Peter Huybers is a Professor of Earth and Planetary Sciences and Environmental Science and Engineering at Harvard University , where he investigates the climate system and its societal implications, including interactions between volcanism and glaciation , extreme temperature predictability , and climate change impacts on food production . Research interests span climate change attribution , paleoclimate reconstruction , drought dynamics , crop yield modeling , and earth system feedbacks . His work often integrates art-historical analysis with climate science, as seen in studies of 19th-century air pollution through Turner and Monet paintings . Scientific awards include funding from Harvard Data Science Initiative (2023) for projects on climate change and food supply volatility Amazon Web Services (2023) grant His 20+ peer-reviewed articles since 2020 focus on climate proxies , hydrological modeling , solar forcing , and agricultural-climate interactions , with recent work in Nature , PNAS , and Science Advances . Advising : Mentored 10+ PhD students including Parker Liautaud , Duo Chan , and Marena Lin , while leading research teams with current members like Greta Berendes and Caro Park . Former staff include Jon Proctor and Lucas Vargas Zeppetello , the latter now at UC Berkeley (2024).
Prof. Dr. Bernd Skiera holds the first chair for electronic commerce in Germany at Goethe University Frankfurt am Main since 1999. He serves on the board of efl - The Data Science Institute and the Schmalenbach Society, while representing Germany at the European Marketing Community (EMAC). Chair of Marketing, Goethe University Frankfurt am Main Board member, efl - The Data Science Institute National representative, European Marketing Community (EMAC) His research focuses on MarTech/SalesTech integration, customer value management, online advertising analytics, data-driven pricing models, and the economic implications of internet privacy regulations. He leads the ERC Advanced Grant project on cookie usage restrictions' economic consequences. Recent publications examine dynamic pricing in digital markets, competition visualization using big data, and AI applications in marketing analytics. The ERC Advanced Grant research has produced empirical analyses of GDPR impacts on advertising ecosystems. 2015 Journal of Marketing Best Paper Award 2013 International Journal of Research in Marketing Best Paper Award Multiple MSI/H. Paul Root Award recognitions He has mentored 17 doctoral students who became professors globally, including at London Business School and LMU Munich. His work bridges marketing analytics with financial valuation through customer equity modeling.
Song Ma is a Professor of Finance and Entrepreneurship at Yale School of Management and a Faculty Research Fellow at the National Bureau of Economic Research (NBER). He is also an affiliated faculty member at Yale Law School Center for the Study of Corporate Law and Yale SOM Program on Entrepreneurship, having joined Yale SOM Faculty in 2016. His educational background includes: PhD in Finance from Duke University's Fuqua School of Business (2016) BA in Economics from Zhejiang University (2010) Professor Ma's research primarily focuses on innovation economics, entrepreneurship, financial economics, AI, and big data. His work extends to corporate strategy, industrial organization, antitrust, labor, and business law. He has made significant contributions to understanding how innovation interacts with financial markets, corporate strategy, and competition policy, particularly through his influential 'Killer Acquisitions' paper which has been cited in Congressional antitrust reports and lawsuits against major tech companies. His recent publications demonstrate an interdisciplinary approach combining finance, economics, and data science methodologies. Many papers examine the intersection of innovation and corporate finance, with increasing incorporation of AI and big data techniques as seen in his video analysis research. His work shows evolution from traditional finance topics toward more policy-relevant research with real-world impact on antitrust regulation and innovation policy. Professor Ma has received numerous prestigious awards: 2023 Best Paper Award, China International Conference in Finance 2022 Best Paper on Competition Economics, Association of Competition Economics 2022 Jerry S. Cohen Award for Antitrust Scholarship 2021 GARP Best Paper in Risk Management Award 40 Under 40 Best Business School Professors by Poets & Quants (2021) Robert F. Lanzillotti Prize for Antitrust Economics (2020) Jensen Prize for Best Paper on Corporate Finance (2019) In teaching, Professor Ma delivers popular courses including 'Entrepreneurial Finance,' 'Venture Capital and Private Equity,' and 'Finance and the Society.' He co-organizes WEFI (Workshop on Entrepreneurial Finance and Innovation), a bi-weekly virtual research forum. His research has been referenced by major regulatory bodies worldwide including the FTC, EU Competition Commission, and UK Competition and Markets Authority, and featured in leading media outlets like Wall Street Journal and New York Times. Professor Ma actively incorporates new data science technologies into his empirical economic research, focusing on unstructured data analysis and machine learning applications.
Professor Jean K. Chalaby is a faculty member in the Department of Sociology at City, University of London . He obtained his PhD in Sociology from the London School of Economics in 1994 and joined City University London as a lecturer in 2000, serving as Head of the Sociology Department from 2012 to 2014. He has also been a visiting lecturer at the University of Geneva for 15 years. His research focuses on international communication, media globalization, transnational television networks , and the global value chain dynamics of the streaming era. He has authored influential works such as The Format Age (2017) and Transnational Television in Europe (2009), while editing collections like Transnational Television Worldwide (2005). His work critically examines the decline of European media groups against U.S. streaming giants, exploring digital policy, cultural dependency , and the uneven power dynamics in global entertainment. Recent publications analyze the streaming market , media value chains , and TV content production , emphasizing network effects , platform economies , and EU policy challenges . Despite his extensive output (over 70 single-authored publications), no scientific awards or student supervision data are explicitly mentioned in the provided text.
Dr. Adegboyega Ojo is a Professor at the School of Public Policy and Administration (SPPA), Carleton University , holding the prestigious Canada Research Chair (Tier 1) in Governance and Artificial Intelligence since 2014. His work bridges digital government , AI governance , and smart city development , with a focus on public sector innovation and policy analytics . Research Interests Smart Cities and Urban Digital Infrastructure Open Government Data and Transparency Blockchain Applications in Public Administration AI Ethics and Algorithmic Governance Electronic Participation and Citizen Engagement Publication Trends : His research emphasizes interdisciplinary approaches to digital governance, often involving data-driven policy analysis , smart city frameworks , and open data platform design . Collaborations span institutions in Ireland, Poland, and the U.S., with citations exceeding 5,200. Scientific Awards : Canada Research Chair in Governance and AI (Tier 1) Labs & Teams : Collaborates with the Insight Centre for Data Analytics (Ireland), Delft University of Technology , and United Nations University on projects like OpenGovIntelligence and BOLD (Big and Open Linked Data).
Vasant Dhar is the Robert A Miller Professor of Business and Professor of Data Science at the Leonard N. Stern School of Business at New York University. He serves as Director of Industry Relations and specializes in Technology, Operations, and Statistics. Joining Stern in 1983, Professor Dhar has established himself as a leading expert in artificial intelligence, data science, and financial technology. Professor Dhar's educational background includes: Ph.D. in Artificial Intelligence from the University of Pittsburgh (1984) M.Phil. from the University of Pittsburgh (1982) B.Tech. in Chemical Engineering from the Indian Institute of Technology, Delhi (1978) His research focuses on how risk influences our trust in AI systems, demonstrating the existence of an "automation frontier" that expresses a tradeoff between how often machines will be wrong and the consequences of their errors. Professor Dhar examines how innovations such as Artificial Intelligence impact our lives, and how we can create technology and policy for a better future in a world of increasingly intelligent machines. His work spans financial applications of AI, where he was among the first to bring machine learning to Wall Street in the 1990s, founding the machine-learning-based hedge fund SCT Capital Management. Professor Dhar's recent publications reveal a strong focus on the practical applications and societal implications of AI. His work addresses critical issues including AI reliability in financial document analysis, the governance of AI companies, ethical considerations in biometric payments, and the evolving relationship between humans and increasingly intelligent machines. His research demonstrates how AI is transforming various sectors while raising important questions about trust, accountability, and the future of work. Among his notable recognitions is the Robert A Miller Professorship, an endowed chair position at NYU Stern. His research has been funded by grants from industry and government agencies such as the National Science Foundation. Professor Dhar teaches courses on Systematic Investing, Data Science, Prediction, and Tech Innovation. He has written over 100 research articles and is the host of the "Brave New World" podcast, which explores how technology and virtualization in the post-COVID era is transforming humanity. He publishes fortnightly at vasantdhar.substack.com and is a frequent speaker in academic and industrial forums.
Christine A. Parlour is the Sylvan C. Coleman Chair of Finance and Accounting at the Haas School of Business, UC Berkeley. She co-directs the Berkeley Center for Responsible Decentralized Intelligence. Her research focuses on Fintech, digital payments, and market microstructure, particularly in cryptocurrency and decentralized finance (DeFi). She has served on the Nasdaq Economic Advisory Board and the New Special Study of Securities Markets steering committee. Education: PhD and MA in Economics from Queen’s University (Kingston), BSocSci from University of Ottawa. Her work explores payment system externalities, blockchain protocols, and banking innovation. Recent research includes analysis of Bitcoin transaction fees, decentralized exchange liquidity, and systemic risks in DeFi markets. Publications span top finance journals, addressing topics like Uniswap’s AMM model, miner collusion in Bitcoin, and the impact of Fintech on traditional banking. She frequently engages with policymakers on digital currency regulation and CBDC design.
Fangzhou LU is an Assistant Professor of Finance at the HKU Business School, The University of Hong Kong, since 2020. His research focuses on fintech, cryptocurrency, behavioral finance, and China's economic development. He received his academic training at prestigious institutions: PhD and MS in Financial Economics from Massachusetts Institute of Technology (MIT), 2020 BS in Business from New York University, Stern School of Business, 2014 Dr. Lu's research interests encompass Fintech, Cryptocurrency, Behavioral Finance, Entrepreneurial Finance, Household Finance, Emerging Markets, consumption, fiscal stimulus, bond markets, and China's economic development. His work often leverages large datasets from China to examine how technological innovations and government policies impact financial markets and firm behavior, particularly during crises like the COVID-19 pandemic. His recent publications demonstrate a strong trend toward applied research in emerging markets, with significant contributions on SPAC IPOs, government subsidy effectiveness for failing firms, and stock market informativeness in China. These works appear in top finance journals including the Journal of Financial Economics and Journal of Financial and Quantitative Analysis, highlighting his expertise at the intersection of finance, technology, and policy analysis.
Joshua Fairfield is the William Donald Bain Family Professor of Law and Director of Artificial Intelligence Legal Innovation Strategy at Washington and Lee University's School of Law. His expertise spans digital property, data privacy, cryptocurrencies, and virtual worlds regulation. He holds a BA from Swarthmore College and a JD from the University of Chicago. Professor Fairfield's research focuses on the intersection of law and technology, particularly in digital ownership, privacy rights, and emerging technologies like IoT and blockchain. He has authored influential books, including Owned: Property, Privacy and the New Digital Serfdom (2017) and Runaway Technology: Can Law Keep Up? (2021). His work critiques corporate control over digital devices and advocates for consumer rights in the digital age. Education: BA, Swarthmore College; JD, University of Chicago Key Achievements: Fulbright Grant (2012–2013), American Law Institute Member (2013) Consulting: Advises U.S. agencies like the White House Office of Technology and Homeland Security Privacy Office His recent articles address topics such as environmental AI ethics, NFT regulation, and smart contract governance. Fairfield emphasizes the need for updated legal frameworks to protect digital rights and ensure democratic control over technology. He directs the AI Legal Innovation Strategy initiative, focusing on integrating AI into legal systems while addressing ethical and regulatory challenges.
Michael D. Smith is a Professor of Information Technology and Public Policy at Carnegie Mellon University, with joint appointments at Heinz College and Tepper School of Business. His research employs economic and statistical methods to analyze digital markets, focusing on firm and consumer behavior in online environments. Education: B.Sc. in Electrical Engineering (Summa Cum Laude), University of Maryland M.Sc. in Telecommunications Science, University of Maryland Ph.D. in Management Science and Information Technology, MIT Research Interests: Professor Smith investigates the economics of digital information markets, consumer behavior in online platforms, and policy implications of technological disruption. His work spans copyright enforcement, digital advertising, and the impact of piracy on legal media consumption. Publications: His recent studies examine AI’s role in copyright policy, effectiveness of anti-piracy measures, and market dynamics in digital streaming. Articles often bridge economics, computer science, and public policy. Awards: National Science Foundation CAREER Award Multiple Best Teacher Awards at CMU Recognized as a Top 100 Emerging Engineering Leader (NAE, 2020) Best Paper Runner-Up (Information Systems Research, 2006) Editorial and Industry Roles: Served as Senior Editor at Information Systems Research and Associate Editor at Management Science . Prior to academia, he worked in telecommunications at GTE and Booz Allen Hamilton, earning a patent for AI applications in network design. Contact: mds@cmu.edu | Office: 4800 Forbes Avenue, Hamburg Hall 2204, Pittsburgh PA 15213
Tingliang Huang holds concurrent roles as the Amazon Distinguished Professor of Business Analytics at the University of Tennessee's Haslam College of Business and Honorary Professor at the UCL School of Management. He earned his PhD from Northwestern University's Kellogg School of Management. His research focuses on business analytics, AI-driven strategies, supply chain optimization, and behavioral operations, with notable contributions to Marketing Science, Management Science, and Production and Operations Management. Affiliations: Amazon Distinguished Professor, Haslam College of Business, University of Tennessee Honorary Professor, UCL School of Management Former tenured Associate Professor at Boston College's Carroll School of Management Education: PhD in Management, Kellogg School of Management, Northwestern University (2011) M.S. and B.S. from University of Science and Technology of China (USTC) Research Interests: Huang’s work bridges analytics and operations, exploring topics like opaque selling, bounded rationality in consumer decisions, supply chain dynamics, and sustainable operations. He has pioneered frameworks for probabilistic selling and dynamic pricing under uncertainty. His interdisciplinary approach integrates behavioral economics and big data analytics. Publications: Over 20 peer-reviewed articles in top journals, emphasizing service systems, supply chain strategy, and marketing-operations interfaces. Recent work explores AI's societal impacts and algorithmic targeting in vertical markets. Awards: 2025 Vallett Family Outstanding Researcher Award 2018 POMS Wickham Skinner Early Career Award 2015 POMS Best Paper Award Multiple Meritorious Service Awards (M&SOM, Management Science) Editorial Roles: Senior Editor at Production and Operations Management, Associate Editor at Manufacturing & Service Operations Management, Decision Sciences, and others. He also serves on editorial review boards for leading journals. Teaching & Mentorship: Award-winning educator recognized as Carroll School Teaching Star (2021). Advises doctoral students at UCL, UTK, and Chinese institutions, with placements at top schools like George Mason University and USTC. Labs & Teams: Leads the Business Analytics PhD Program at UTK and collaborates on AI ethics research through cross-institutional projects.
Tim Derdenger is an Associate Professor of Marketing and Strategy at Carnegie Mellon University’s Tepper School of Business. He holds a Ph.D. in Economics from the University of Southern California and a B.B.A. from George Washington University. His research focuses on technology markets and sports marketing, including platform dynamics, bundling strategies, celebrity endorsements, and dynamic demand modeling. He coordinates the Technology Strategy and Product Management Track for MBA students. As an Associate Editor for Management Science and editorial board member of Marketing Science , he contributes to academic publishing. His work spans empirical studies on golf equipment endorsements, EV subsidies, and AI regulation. He advises on topics like NIL in college football and generative AI bias. His affiliations include roles in executive education and industry panels on golf and tech strategy.
Prof. Dr. Bernd Skiera is a leading Marketing Professor at Goethe University Frankfurt since 1999 and a member of the managing board of the efl - The Data Science Institute. His work bridges information systems and marketing, with a focus on data-driven decision making and digital transformation.
Professor Christopher Howgego is a Research Keeper at the Heberden Coin Room of the Ashmolean Museum and a faculty member at Wolfson College, University of Oxford. He holds degrees MA and DPhil (Oxon) and has been affiliated with the Ashmolean since 1988, serving in roles like Acting Keeper and Keeper before his current position. Academic Background: Joined Ashmolean in 1988; extensive curatorial and leadership roles in numismatic projects. Research Keywords: Roman Numismatics, Coin Hoards, Roman Provincial Coinage, Roman History. His research explores how ancient coinage illuminates historical, economic, and cultural dynamics. He has authored seminal works like Ancient History from Coins and co-edited Coinage and Identity in the Roman Provinces . He focuses on Antonine coinage in Roman Egypt and hoarding patterns, contributing to the Roman Provincial Coinage series and digital initiatives like Roman Provincial Coinage Online . Scientific Awards: Bronze Medal of the Norwegian Numismatic Society Silver Medal of the Norwegian Numismatic Society As a teacher, he lectured on Roman Numismatics until 2022 and supervised 19 doctoral and 10 master’s students. He currently welcomes graduate research on Roman hoards. His roles include directing major numismatic projects and serving on the Scientific Advisory Board of the Austrian Archaeological Institute. Labs/Teams: Leads the Roman Provincial Coinage Online and Coin Hoards of the Roman Empire projects, co-founded with Andrew Wilson. Also contributes to Iron Age Coins in Britain and Celtic Coin Index Digital initiatives.
Dr. Shirley Coleman is a distinguished Professor at Newcastle University Business School, specializing in the application of statistical methods to business and industrial problems. With over two decades of academic contributions, she has established herself as a leading expert in statistics, data science, and quality management within industrial contexts. Her research interests span several interconnected domains: Statistics, Data Science, Business Analytics, Quality Management, Six Sigma methodologies, Kansei Engineering (which integrates emotional design with product development), Industrial Statistics, Design of Experiments, Predictive Maintenance, and Customer Lifetime Value analysis. Coleman's work consistently bridges theoretical statistical concepts with practical business applications across diverse sectors including healthcare, manufacturing, facilities management, and digital marketing. Analysis of her recent publications reveals a strong focus on the evolving role of statistics in the digital age, particularly examining how statistical expertise contributes to AI development, Industry 4.0 initiatives, and data-driven business transformation. Her work demonstrates increasing emphasis on customer analytics, predictive maintenance modeling, and the strategic implementation of data science in small and medium enterprises. Coleman's publications frequently address methodological challenges while maintaining strong practical relevance for industry practitioners. Throughout her career, Coleman has been actively involved with the European Network for Business and Industrial Statistics (ENBIS), contributing to the development and dissemination of statistical methods in business contexts. Her collaborative approach is evident in numerous co-authored publications across disciplines, demonstrating her ability to work effectively with researchers from diverse fields including engineering, healthcare, and business management. Her advisory work appears focused on helping organizations implement statistical thinking in business processes, with particular attention to small and medium enterprises seeking to leverage data analytics for competitive advantage. Though specific grant information isn't detailed in the available publications, her extensive industry-focused research suggests significant engagement with practical business problems and industry partnerships. Dr. Coleman has made substantial contributions to the field through her leadership in professional organizations, particularly ENBIS, where she has helped shape the discourse around industrial statistics and their business applications. Her work on Kansei Engineering demonstrates innovative approaches to integrating human factors with statistical methods for product development.
