J. Miguel Villas-Boas serves as the J. Gary Shansby Professor of Marketing Strategy at the Haas School of Business, University of California, Berkeley. His academic leadership includes former roles as Director of the Ph.D. Program (2006-2009), Chair of the Committee on Research at UC Berkeley (2006-2008), and Chair of the Marketing Group (2011-2014). His research spans competitive strategy, customer relationship management, and digital economy pricing. Key contributions examine consumer search behavior, information economics, and strategic repositioning. Recent work analyzes privacy effects, influencer authenticity, and search fatigue in digital environments. His publications reveal evolving focus from traditional channel strategy toward digital economy challenges since 2015. ISMS Long Term Impact Award Berkeley Haas’ Earl F. Cheit Award for Excellence in Teaching John D.C. Little Best Paper Award Finalist (2005, 1993) Villas-Boas has advised numerous doctoral students as former Ph.D. Program Director and serves on editorial boards including International Journal of Research in Marketing . His industry consulting spans telecommunications and banking sectors. Current research explores pricing dynamics in digital markets and corporate social responsibility frameworks.
Eric Priest is a Professor at the University of Oregon School of Law , affiliated with the Business Law Program and Asian Studies departments. His research bridges intellectual property law and creative industry ecosystems , with particular emphasis on U.S.-China legal and economic dynamics in copyright law. Education : LL.M. from Harvard Law School; J.D. from Chicago-Kent College of Law (Editor-in-Chief, Chicago Kent Law Review); B.A. summa cum laude from the University of Minnesota Professor Priest's scholarship explores copyright theory , digital content regulation , and global IP governance . His recent work analyzes music industry licensing in the streaming era, China's digital copyright challenges , and market-driven enforcement mechanisms . Publications reveal consistent focus on cross-border IP issues , creative entrepreneurship , and evolving digital rights frameworks . He contributes to U.S.-China intellectual property dialogues as a member of the U.S.-China IP Cooperation Dialogue and previously participated in the National Committee on U.S.-China Relations' Public Intellectuals Program. His unique perspective combines 10 years in the music industry (as producer/songwriter) with legal scholarship.
Rebecca Coleman is a Continuing Studies Instructor Faculty at Emily Carr University of Art and Design (ECUAD), specializing in social media marketing for arts organizations. With over two decades of experience in theatre publicity and digital marketing, she bridges the gap between traditional arts marketing and contemporary digital strategies. Her research interests center on practical applications of social media for artists and arts organizations, with a strong emphasis on actionable strategies rather than theoretical frameworks. Coleman focuses on helping artists develop sustainable business practices through effective digital presence, with particular attention to work-life balance challenges faced by creative professionals. Her approach combines technical knowledge of social media platforms with deep understanding of arts marketing challenges. Her publications reveal a consistent trend toward practical, actionable guidance for artists and small business owners. Rather than focusing on academic theory, her work emphasizes immediate application, with publications spanning from social media guides for specific sectors (non-profits, artists) to comprehensive vegan cookbooks that blend her food expertise with practical marketing insights. Vancouver Mom Top 30 Mom Blogger Nominee (2013) 1st place, short story, Province-Wide Arts and Letters Competition, Newfoundland (1987) While Coleman doesn't appear to have traditional academic grants or advise graduate students, her work as a blogging coach and social media strategist represents a significant contribution to practical arts education. She offers personalized coaching for bloggers at various stages, focusing on technical SEO, content development, and monetization strategies. Her training workshops have reached international audiences, including sessions in Australia. Through her blog The Art of the Business and food-focused platform Cooking By Laptop , Coleman has built substantial online communities that function as de facto learning environments for aspiring bloggers and food creators. Her social media presence, with over 22,000 followers across platforms, serves as both teaching tool and professional network for artists seeking to improve their digital marketing skills.
Esther Gal-Or holds the Glenn Stinson Chair in Competitiveness and serves as Area Director for Marketing & Business Economics at the University of Pittsburgh's Katz Graduate School of Business, where she has been a faculty member since 1980. She has also taught as a visiting professor at the Technion-Israel Institute of Technology and Northwestern University's Kellogg Graduate School of Management. Education PhD in Managerial Economics and Decision Sciences, Northwestern University MSc in Economics, Technion-Israel Institute of Technology BSc in Economics, Technion-Israel Institute of Technology Gal-Or's research centers on microeconomic theory and industrial organization , applying game-theoretic frameworks to analyze competitive dynamics in digital markets. Her work examines strategic interactions in healthcare, media, and Internet platforms, with emphasis on pricing models, market segmentation, and regulatory impacts. She integrates theoretical rigor with real-world business applications, particularly in platform economics and two-sided markets. Her 15 most recent publications (2014-2022) reveal a dominant focus on digital platform competition , covering subscription services, crowdfunding, sharing economy models, and advertising markets. Key thematic clusters include network effects in streaming services, privacy concerns in online advertising, and matching efficiency in peer-to-peer markets, demonstrating consistent application of industrial organization principles to emerging technological contexts. Scientific Awards University of Pittsburgh President’s Distinguished Research Award (1989) Fellow of the International Journal of Industrial Organization National Science Foundation Awards (1985-87, 1990-92, 1994-96, 1999-2001) Agency for Health Care Policy and Research Award (1994-95) Katz School Excellence in Teaching Awards (2001, 2010) Katz School Excellence in Research Awards (2006-07, 2013-14, 2014-15, 2016-17) Gal-Or has secured over 15 years of continuous research funding through multiple National Science Foundation grants and an Agency for Health Care Policy and Research Award. She serves as PhD advisor for industrial organization and microeconomics students, teaching core MBA courses like Economic Analysis for Managerial Decisions alongside specialized PhD seminars. Her editorial leadership includes Editorship of the European Economic Review (2002-2012) and Coeditorship of the Journal of Economics and Management Strategy. While no formal lab structure is documented, her collaborative research network spans multiple institutions as evidenced by co-authored publications with scholars across economics and management disciplines, particularly focusing on platform competition dynamics.
Mor Naaman is the Don and Mibs Follett Professor of Information Science at Cornell Tech, where he leads the Social Technologies research group and serves as Associate Dean for Faculty Affairs at the Jacobs Technion-Cornell Institute. His career spans academia, industry research (Yahoo! Research Berkeley), and entrepreneurship (startup co-founder). Cornell Tech, 2012-present Rutgers School of Communication and Information, 2008-2012 Yahoo! Research Berkeley, 2005-2008 Stanford University, Ph.D. in Computer Science His research focuses on Technology, Media and Democracy , particularly AI-mediated communication's societal impact and information ecosystem trustworthiness. The lab employs multidisciplinary methods (machine learning, experiments, qualitative analysis) to address misinformation, algorithmic bias, and digital governance challenges. Recent work examines AI-generated content moderation Visual misinformation tracking Language model cultural bias Workplace AI communication dynamics Political misinformation campaigns Notable scientific awards include NSF Early Faculty CAREER Award Microsoft Research Award LinkedIn-Bowers CIS Strategic Partnership award Vannevar Bush Best Paper Awards (JCDL 2007, JCDL 2004) Best Paper Honorable Mentions (CHI 2023, CHI 2016) As an advisor , he has mentored numerous PhD students in areas like computational social science and digital democracy. His research is supported by grants from National Science Foundation Microsoft Meta (Facebook) Google The Social Technologies Lab (founded 2012) examines AI-Mediated Communication implications Healthy information ecosystems Trust, credibility and misinformation Collaborative fact-checking systems
Miguel Godinho Matos is a Full Professor of Information Systems and Management at the Católica Lisbon School of Business & Economics, with a visiting research affiliation at Heinz College, Carnegie Mellon University. His academic journey includes degrees from Carnegie Mellon University and Technical University of Lisbon. Education: Agregação (2021), Ph.D. (2013), M.Sc. (2011) in Engineering & Public Policy from Carnegie Mellon University M.Sc. (2007) and B.Sc. (2005) in Computer Engineering from Instituto Superior Técnico Miguel’s research examines how digitalization transforms consumer behavior and product distribution strategies. His work spans creative industries, social network analysis, peer influence, and data protection laws, utilizing field experiments and Big Data Analytics. He has published in top journals like Management Science and Information Systems Research . His recent publications highlight trends in digital piracy prevention, GDPR compliance, binge-watching dynamics, and social influence in mobile networks. These contributions blend technical rigor with policy insights. Scientific Awards: Early Career Awards from the Information Systems Society (2019) and Association of Information Systems (2019) Miguel serves as Associate Editor for Management Information Systems Quarterly and participates in collaborative research initiatives like Carnegie Mellon’s Initiative for Digital Entertainment and Analytics (IDEA), integrating interdisciplinary perspectives into his work.
Thomas Kosch serves as Professor at the Institute of Computer Science within the Faculty of Mathematics and Natural Sciences at Humboldt University of Berlin. His research group Human-Computer Interaction for Scientific Software develops innovative interfaces for scientific applications, with laboratory facilities at Rudower Chaussee 25, 12489 Berlin-Adlershof and administrative correspondence via Unter den Linden 6, 10099 Berlin. His research spans Human-Computer Interaction, Virtual/Augmented Reality, Artificial Intelligence, and Neurophysiological Computing. Key interests include cognitive augmentation through EEG/EMG systems, motor learning with electrical muscle stimulation, large language model integration in UX workflows, and privacy implications of tracking technologies. His work bridges theoretical HCI frameworks with empirical validation through controlled experiments involving physiological measurements and immersive environments. Analysis of his 15 most recent publications (all 2025) reveals three dominant trends: (1) Critical examination of LLM limitations through prompt-hacking and deceptive design studies, (2) Neurophysiological validation of cognitive phenomena using multimodal sensing (EEG/eye-tracking), and (3) Application-driven XR solutions for veterinary care, navigation, and motor assessment. These works consistently employ rigorous user studies with quantitative behavioral metrics. No scientific awards are documented in the provided materials, though his publication volume in top-tier venues (e.g., CHI, UIST) indicates significant field contributions. Professor Kosch actively supervises doctoral candidates, with at least one PhD defense (Michael Piechotta, Dipl.-Bio-Inf.) scheduled for September 2025. His research group likely secures competitive grants supporting equipment-intensive projects involving EEG systems, VR setups, and physiological sensors, though specific funding sources aren't detailed. The Human-Computer Interaction for Scientific Software group operates as an interdisciplinary hub combining computer science, cognitive psychology, and domain-specific applications. Current projects involve developing open-source tools like MorphoHaptics for medical imaging, MIRAGE for fall hazard detection, and Senscon for physiological sensing integration in VR controllers.
Gerald Sim is an Associate Professor of Film and Media Studies at Florida Atlantic University's School of Communication & Multimedia Studies. He has held visiting fellowships at the Asia Research Institute and the Lee Kong Chian NUS-Stanford Fellowship on Contemporary Southeast Asia. His research focuses on postcolonial cinema, algorithmic culture, and media theory. Education: PhD in Film Studies (University of Iowa), BS in Biology (Duke University) His work examines the intersection of cinema with postcolonial politics, digital infrastructure, and technological discourse. Key publications include Screening Big Data (2024) and Postcolonial Hangups in Southeast Asian Cinema (2020). He explores themes like techno-Orientalism, data visualization in film, and Singaporean urban aesthetics through close textual analysis and media historiography. Recent projects analyze AI representation in cinema and the cultural implications of algorithmic systems. His work has been supported by grants from the Luce Foundation and the Lee Kong Chian Fellowship program. Awards: Lee Kong Chian NUS-Stanford Distinguished Fellowship (2016–17) Sim advises on film theory and new media studies, convening dialogues on data abolition and disinformation. His research bridges academic inquiry with public engagement through book talks and interdisciplinary collaborations.
Role & Affiliation: Theodoros Evgeniou is a Professor of Decision Sciences and Technology Management at INSEAD since 2001, and Director of the INSEAD Executive Education programme 'Transforming your Business with AI'. He holds a dual academic role in Technology and Business, focusing on Machine Learning, AI ethics, and business process optimization. His work bridges academic research and industry application, with affiliations including OECD Network of Experts on AI and the BCG Henderson Institute. Education: Four degrees from MIT: BSc in Computer Science BSc in Mathematics Master of Computer Science PhD in Computer Science Research Interests: Evgeniou’s research spans 30+ years in AI innovation, including business process optimization, AI regulation, and novel machine learning methods. His work appears in top journals like Science , Nature Machine Intelligence , and Lancet Digital Health . Key areas include AI ethics, healthcare applications, and strategic decision-making with data analytics. Articles Trends: Recent publications focus on XAI narratives, UGC strategies in digital content, AI robustness in healthcare, and pandemic impacts on academic resilience. These reflect interdisciplinary approaches to AI’s societal and business implications. Grants & Advising: Served as OECD AI expert, BCG advisor, and co-founder of Tremau (B2B SaaS for ethical AI). Consults widely on ML applications and regulatory frameworks. Labs & Teams: Co-founded Tremau to promote safe digital ecosystems, and collaborates with INSEAD’s AI initiatives. Active in academic-industry partnerships through case studies and executive education programs.
Liang Liang is a prominent academic affiliated with the University of Science and Technology of China, School of Management, where they have been actively contributing to research in operations research and management science. With over 180 publications spanning two decades from 2004 to 2024, their scholarly output demonstrates significant expertise and sustained contribution to the field. Liang Liang frequently collaborates with researchers across China and internationally, with notable co-authors including Yongjun Li, Jie Wu, Feng Yang, and Joe Zhu. Liang Liang's research interests center around Data Envelopment Analysis (DEA) and its numerous applications across various domains. Their work demonstrates exceptional versatility in applying operations research methodologies to solve complex problems in supply chain management, environmental performance evaluation, financial systems, and information technology. The researcher has made significant contributions to methodological advancements in DEA, including network DEA, two-stage systems, cross-efficiency evaluation, and handling undesirable outputs. Their research often addresses practical challenges in Chinese contexts while making theoretical contributions with global relevance. Analysis of Liang Liang's recent publications reveals a clear trend toward increasingly sophisticated applications of DEA methodologies across diverse fields. The work shows progression from basic DEA applications to complex multi-stage, network-based, and game-theoretic approaches that address real-world constraints. Recent research demonstrates growing interest in digital platforms, social media analytics, environmental sustainability, and post-pandemic workplace dynamics, reflecting adaptability to emerging research areas while maintaining methodological rigor. The publications appear in top-tier journals including European Journal of Operational Research, Annals of Operations Research, and Journal of the Operational Research Society, indicating high scholarly impact. Liang Liang's collaborative network spans numerous institutions across China, with frequent partnerships with researchers from the University of Science and Technology of China, Chongqing University, and other leading Chinese academic institutions. The extensive publication record suggests active mentorship of junior researchers, though specific student names aren't documented in the available information. The research portfolio demonstrates consistent funding support, likely from Chinese national and provincial research agencies, though specific grant details aren't provided in the source material.
Jameson L. Hayes is a Professor at the University of Alabama, leading research in computational advertising, social media analysis, and corporate social responsibility. He directs the Public Opinion Lab and contributes to the Global Water Security Center (GWSC), focusing on computational social science applications to study conflict prediction (e.g., Nigerian farmer-herder dynamics) and water security. His work bridges advertising theory with emerging technologies, emphasizing data-driven methodologies for non-specialist researchers. Hayes collaborates with industry partners like Sprinklr to advance social media listening strategies and has pioneered frameworks such as the Modified News Micropayment Model for digital content monetization. Research interests include viral advertising mechanisms, influencer marketing effectiveness, and cross-cultural social media engagement. He secured a $2.4M DoD Minerva grant (2024) to study water conflict through social media analytics. Education and career progression details are not explicitly stated in available texts, but his roles indicate advanced academic standing. Awards and formal honors remain unspecified. Advising and grants: Lead PI on Minerva grant ($2.4M), co-developed micropayment models, and advises on computational methods for public relations. Labs include the Public Opinion Lab and GWSC's research initiatives. Future work centers on expanding computational tools for social science research and sustainable advertising strategies.
George Prezerakos is a Professor at the Department of Electrical and Computer Engineering, National Technical University of Athens. His work focuses on data privacy, mobile applications, web analytics, and network engineering. He holds the email prezerak@uniwa.gr . Research interests include analyzing the societal impact of digital technologies, predicting human behavior through web data, evaluating market competition policies in telecommunications, and addressing the digital divide exacerbated by economic crises. He has published extensively on topics ranging from secure distributed systems to context-aware service engineering. His research demonstrates a unique blend of technical innovation and socio-economic analysis. For example, his work on predicting election outcomes via Google Trends data bridges computational methods with political science, while studies on mobile app privacy critique modern digital economy practices. He also investigates infrastructure challenges in deploying next-generation networks in complex geographic regions like Greece. Advising and grants: No specific advising or grant details are provided in the text. His contributions are primarily through academic publications and conference presentations. Labs/Teams: Affiliated with the Department's research groups focusing on telecommunications, cybersecurity, and context-aware systems, though specific lab names are not mentioned.
Dr Aliaksandr Herasimenka is a political communication scholar at the Oxford Internet Institute, University of Oxford. As a Research Fellow with the Oxford Martin Programme on Misinformation, Science, and Media, he investigates how political groups and governments use AI and social media for campaigning and public opinion manipulation. His research examines: Digital propaganda and communication in authoritarian states Computational methods for tracking narrative circulation Organizational impacts of digital technologies on political campaigning Crisis-related misinformation during events like the Ukraine war Dr Herasimenka teaches social data science, journalism, and digital research methods across multiple institutions including University of Oxford and University of Westminster.
Puneet Manchanda is the Isadore and Leon Winkelman Professor of Marketing at the University of Michigan's Ross School of Business. He holds a PhD and MPhil from Columbia University, an MBA from IIM-A, and a BSEE from BITS Pilani. Previously, he was on the faculty at the University of Chicago’s Booth School of Business and served as Chair of Ross’s Marketing Area from 2010 to 2016. His research focuses on applying AI, machine learning, and econometrics to solve strategic business problems in technology, e-commerce, healthcare, and pharmaceuticals. He has published over 40 articles in top journals, with over 8,000 citations. Notable awards include the Ross Senior Faculty Research Award (2021) and multiple teaching excellence recognitions. He consults for industries like hi-tech and pharmaceuticals and sits on corporate boards. Education: PhD & MPhil in Business, Columbia University (1998, 1997) MBA, Indian Institute of Management Ahmedabad (1990) BSEE, Birla Institute of Technology & Science (1987) Research emphasizes empirical models addressing pricing, targeting, and policy in digital platforms, healthcare, and consumer markets. His work bridges academic rigor and industry relevance, with applications in influencer marketing, gaming, and streaming media. He serves as Editor-in-Chief of Marketing Science and frequently speaks at academic and industry events. Teaching includes capstone courses in Marketing and Strategy across MBA programs. He has designed executive education programs for companies like Medtronic and Mahindra. Beyond academia, he engages in private equity and angel investing.
Ben Egliston is a Senior Lecturer in Digital Cultures and an Australian Research Council (ARC) DECRA Fellow at the University of Sydney's Discipline of Media and Communications. His research focuses on the political economy of digital media, with specializations in videogames, immersive technologies (VR/AR), and blockchain applications in gaming. He leads an ARC-funded project on videogame industry monetization and collaborates on another exploring ethical issues in mixed reality. Egliston holds a BA (Hons) and PhD from the University of Sydney. His research interests span game studies (monetization, blockchain, AI), critical theory of technology, and the ethical implications of immersive media. Egliston is the co-author of three books, including Fantasies of Virtual Reality (MIT Press) and Cryptogaming (Palgrave Macmillan). He frequently contributes to media outlets like WIRED and ABC News , analyzing digital culture and technology's societal impact. Current Grants: ARC DECRA (2024), Meta Platforms Inc. Disability in the Metaverse (2022–2023) Key Awards: ARC DECRA Fellowship Research Students: Advising four PhD candidates on topics like disability inclusion in VR, mobile game monetization in China, and game music in immersive spaces. Egliston's work addresses governance challenges in emerging technologies, such as data privacy in VR and the metaverse's social implications. He co-leads the CAVRN Syllabus project and has contributed to policy submissions on digital surveillance and cultural policy.
