جست‌وجوی استاد و پژوهشگر

Wei Luمشاهده پروفایل

استادیار

• Digital Marketing
• Empirical Industrial Organization
• Platform Economics
• +۳ مورد دیگر

Wei Lu is an Assistant Professor at the Zicklin School of Business, Baruch College, City University of New York (CUNY), specializing in the Allen G. Aaronson Department of Marketing & International Business. His academic work bridges digital marketing, empirical industrial organization, and platform economics. Education: PhD in Marketing, University of Toronto MEcon in Economic Theory and Econometrics, Toulouse School of Economics BBus in Business, Victoria University (Melbourne) BEc in Economics, Central University of Finance and Economics (Beijing) Research Interests: Digital marketing strategies Platform economics and competition Consumer behavior in digital environments Empirical analysis of industrial organization AI-driven marketing insights Microtransaction dynamics Article Trends: His recent work explores large language model alignment, judicial polarization, and platform economics. Google Scholar articles (2023-2025) focus on digital product diffusion, gaming economics, and rating biases in online transaction platforms.

Luise Müllerمشاهده پروفایل

پژوهشگر ارشد

• Political Philosophy
• Ethics of Emerging Technologies
• Animal Justice
• +۴ مورد دیگر

Dr. Luise Müller is a Research Fellow at the Institute of Philosophy, Freie Universität Berlin, where she specializes in political philosophy and ethics of emerging technologies. She previously held interim professorships at Humboldt-Universität zu Berlin and Universität Hamburg. Her academic journey includes a PhD in Political Theory from Freie Universität Berlin (2016), an MA in Legal and Political Theory from University College London (2012), and a BA in Political Science from Freie Universität Berlin (2010). Her research examines relational egalitarianism, social asymmetries in democratic systems, and normative implications of emerging technologies. Müller investigates how technological advancements interact with social power structures and moral equality frameworks. Current work focuses on AI's role in exacerbating or alleviating social inequalities and developing ethical frameworks for human-AI interaction. Publications from 2018-2023 demonstrate consistent focus on political legitimacy, human rights foundations, and justice theories, with recent expansion into technology ethics. Her 2024 monograph 'The Right to Punish' establishes a theoretical framework for international criminal justice authority. Müller maintains active research affiliations with the Center for Social Implications of AI (SOCAI) at Universität Würzburg and ANU's Machine Intelligence and Normative Theory Lab. She co-edits the peer-reviewed Zeitschrift für philosophische Literatur and participates in interdisciplinary projects including DIGI-PPR at EKFZ Digital Health.

Tomasz Hollanekمشاهده پروفایل

پژوهشگر ارشد

• AI ethics
• Critical design
• Human-AI interaction
• +۵ مورد دیگر

Dr. Tomasz Hollanek is a Postdoctoral Research Fellow at the Leverhulme Centre for the Future of Intelligence (LCFI) and an Affiliated Lecturer in the Department of Computer Science and Technology at the University of Cambridge. His work bridges AI ethics, critical design, and technology governance, focusing on social justice, environmental sustainability, and ethical human-AI interaction. He has contributed to EU AI Act toolkits, AI companion systems, and cross-cultural AI narratives through projects at Harvard, Oxford, and École Normale Supérieure. Affiliation: University of Cambridge (LCFI, Computer Science and Technology) Collaborations: École Normale Supérieure (ENS-PSL), Observatoire des humanités numériques Research Trends: His 2025 publications emphasize regulatory compliance for AI justice, critical AI literacy in journalism, and feminist design methodologies. Earlier works (2023-2019) explore cultural AI narratives, allocentric design for sustainability, and ethical challenges in griefbots.

Samuel A. Mooreمشاهده پروفایل

مدرس

• Scholarly Communication
• Metaresearch
• Digital Humanities
• +۳ مورد دیگر

Dr. Samuel A. Moore is a Scholarly Communication Specialist at Cambridge University Library and Principal Investigator for the Materialising Open Research Practices in the Humanities and Social Sciences project, funded by Wellcome Trust, AHRC, and Research England Development Fund. He serves as an Affiliated Lecturer at Cambridge Digital Humanities and a College Research Associate at King’s College Cambridge. PhD in Digital Humanities from King’s College London His research bridges scholarly communication, metaresearch, and open science, with a focus on digital publishing , community-led open access , and academic governance . Recent work explores care ethics in publishing, the politics of author rights, and alternatives to corporate-controlled scholarly infrastructure. Key trends in his publications include open access policy critique, scholar-led publishing models, and interdisciplinary studies linking bioethics and academic labor. He co-founded the Radical Open Access Collective and advocates for progressive publishing ecosystems. Wellcome Trust grant AHRC grant Research England Development Fund grant Dr. Moore’s collaborations span libraries, research institutions, and global open science initiatives. His work emphasizes democratizing knowledge production and challenging commercial monopolies in academia.

Steven O. Kimbroughمشاهده پروفایل

استاد

• Artificial Intelligence
• Computational Rationality
• Decision Support Systems
• +۶ مورد دیگر

Steven O. Kimbrough is a Professor of Operations, Information and Decisions at the Wharton School, University of Pennsylvania. His research spans artificial intelligence, computational rationality, and strategic optimization with applications to political science, economics, and service innovation. He teaches courses like Agents, Games, and Evolution and Thinking With Models , focusing on experimental approaches to bounded rationality and uncertainty in decision-making. Primary Email: kimbrough@wharton.upenn.edu Office: 3730 Walnut Street, 565 Jon M. Huntsman Hall, Philadelphia, PA 19104 His research interests include: Artificial intelligence and metaheuristics for constrained optimization Evolutionary computation in electoral redistricting Agent-based modeling of market dynamics Logic modeling for normative reasoning Text mining applications in event analysis Publications demonstrate expertise in computational economics, political modeling, and service analytics. Recent work focuses on: Empirical validation of electoral compactness Strategic learning in oligopolies Multi-objective matching algorithms Feasible-infeasible solution spaces Service network optimization Teaching emphasizes: Game-theoretic approaches to strategic behavior Modeling life-cycle for energy sustainability Computational experiments in social science

• Cybersecurity
• International Security
• European Union-Turkey Relations
• +۷ مورد دیگر

Tolga ERDEM is a Researcher at Trakya University's Faculty of Economics and Administrative Sciences, Department of International Relations. Holding a PhD in International Relations (2020) and two bachelor's degrees (2012) with full scholarships, his work bridges cybersecurity, international security, and geopolitical dynamics. Key affiliations include editorial roles in security anthologies and presentations at international conferences. PhD: Cyberspace as a Power Competition Domain Master's Thesis: Europeanization & Religious Identity in Turkey-EU Relations Research spans cybersecurity , space weaponization , AI-driven security , and energy geopolitics . Recent 2024-2025 publications analyze Balkan cybersecurity, water security, and biosecurity frameworks. His 2023 book Uluslararası İlişkilerin Yeni Güç Rekabet Sahası: Siber Uzay established him as a digital geopolitics expert. Journal trends show 2023-2024 focus on UN disarmament policies for AI weapons, space diplomacy frameworks, and EU-Turkey energy dynamics. Conference papers (2024) examine Central Asian water security and Balkan cyber threats. Teaching since 2020, courses include World Conflict Regions , EU-Turkey Relations , and Contemporary International Issues . No scientific awards listed.

Ray Drainvilleمشاهده پروفایل

مدرس

• Digital Media
• Visual Culture
• Iconography
• +۳ مورد دیگر

Dr. Ray Drainville is a lecturer at the University of Waterloo, specializing in digital media and visual culture. His research explores the intersection of iconography, social media image analysis, and machine learning applications. With nearly two decades of industry experience in web development and graphic design, he brings practical insights to his teaching on contemporary digital visual culture. PhD in Visual Culture from Manchester School of Art, Manchester Metropolitan University (2018) MA in Information Studies from University of Sheffield (1996) MA in History of Art from Princeton University (1995) BA in History of Art from New College (1992) Dr. Drainville's research interests include digital media, visual culture, iconography, media theory, and hermeneutics. His work increasingly examines linguistic and visual dogwhistles in political contexts, memetic superposition, and algorithmic iconography. He has published in journals such as AI & Society , Studies In Communication Sciences , and Hyperallergic , often combining historical art analysis with contemporary digital platforms. He teaches courses including: GBDA 101 Introduction to Digital Media Design GBDA 203 Introduction to Digital Culture GBDA 228 Digital Imaging of Online Applications GBDA 301 Global Digital Project 1 GBDA 401 Cross-Cultural Digital Business GBDA 402 Capstone Course: Cross-Cultural Digital Business ARTS 290 Theories of Media

Jude Browneمشاهده پروفایل

استاد

• political theories of equality
• feminist theory
• political responsibility
• +۵ مورد دیگر

Professor Jude Browne serves as Head of the Department of Politics and International Studies (POLIS) at the University of Cambridge, while also holding the position of The Jessica and Peter Frankopan Director of the University of Cambridge Centre for Gender Studies (currently on leave from this role while serving as HoD). She is a Fellow and Director of Studies for Human, Social and Political Sciences (Part II) at King's College, Cambridge, demonstrating her deep integration within the university's academic structure. Professor Browne's research spans several interconnected areas of political theory and social justice. Her work focuses on political theories of equality , feminist theory , political responsibility , and structural injustice . She has increasingly examined the impact of technology on society , particularly how AI systems intersect with existing social inequalities. Her scholarship bridges theoretical political philosophy with practical policy concerns, addressing issues like public interest, rights frameworks, and regulatory approaches to emerging technologies. Analysis of Professor Browne's recent publications reveals a clear trajectory toward examining technology governance through feminist and structural justice lenses. Her work increasingly focuses on AI ethics, structural inequality in technological systems, and reconceptualizing political responsibility in digital contexts. She has pioneered feminist approaches to understanding who bears responsibility for ethical AI development, examining how structural factors shape technological outcomes beyond individual accountability. Her research demonstrates how algorithmic systems can perpetuate structural injustice while challenging traditional notions of responsibility in complex technological environments. Aaron Rapport Prize (inaugural winner) University of Cambridge Pilkington Prize Professor Browne has been actively engaged in public discourse on technology and society, appearing on the BBC Rethink Podcast and delivering the 2024 Alan Turing Lecture on "AI and Political Responsibility." Her research has attracted significant attention in both academic and policy circles, influencing discussions on gender equality, structural injustice, and technology governance. She has led collaborative research projects through the University of Cambridge Centre for Gender Studies and edited multiple influential volumes including "Feminist AI: Critical Perspectives on Algorithms, Data, and Intelligent Machines" (2023) and "What is Structural Injustice?" (2024).

• Public Administration
• Human Rights Policy
• Governance
• +۴ مورد دیگر

Jukka Viljanen is a Professor in Administrative Studies with a focus on public administration, human rights policy, and governance. His research intersects with the United Nations Sustainable Development Goals (SDGs), particularly in human rights and climate change. Active in consultancy, conference presentations, and doctoral supervision Contributor to journals, books, and policy reviews Research Trends (2023): Recent works emphasize human rights policy architecture in Finland , climate change as a human rights issue , and impacts of fundamental rights on legislative processes . His publications span peer-reviewed chapters, journal articles, and anthologies. Collaborations: Active in Nordic public space frameworks, SDG-related research, and European human rights jurisprudence. Key international collaborations in climate governance and AI policy.

Michael Sirivianosمشاهده پروفایل

دانشیار

• Cybersecurity
• Social Media Analysis
• Disinformation Detection
• +۵ مورد دیگر

Michael Sirivianos is an Associate Professor at the Cyprus University of Technology (CUT), where he serves as Dean of the School of Engineering and Technology. He holds a PhD in Computer Science from Duke University (2010) and leads research in cybersecurity, disinformation detection, and social media analysis. He coordinates multiple EU-funded projects including ReCRED (Horizon 2020) and ENCASE (Marie Curie RISE), securing over €3M in research funding. Research Focus His work spans: Cybersafety : Detection of cyberbullying, hate speech, and inappropriate content targeting children Trust Systems : Device-centric authentication and blockchain applications Disinformation Analysis : Graph-based detection of fake news and state-sponsored manipulation Scalable Systems : Distributed databases and network infrastructure Achievements & Recognition Best Paper Award (2019) for work on state-sponsored disinformation Distinguished Paper (2018) for fringe web community analysis Spotlight Session recognition (2020) for child protection research Featured in NYT, Washington Post, and Wired for YouTube content analysis Leadership Co-directs the Network Systems Research Lab, serves on the Board of CYENS Centre of Excellence, and coordinates the Fact-check Cyprus Centre against Disinformation.

Mo Chenمشاهده پروفایل

پژوهشگر

• AI Ethics
• Data Protection
• Automated Decision-Making
• +۳ مورد دیگر

Mo Chen, Ph.D., is a Postdoctoral Research Scholar at the Chair of Cyber Trust within the School of Computation, Information and Technology at the Technical University of Munich (TUM). Her research examines automated decision-making systems, data protection regulations, and AI ethics, with a focus on corporate and societal impacts in China and beyond. Her research integrates qualitative, quantitative, and computational methodologies. She earned her Ph.D. in 2018 from the School of Sociology, Politics and International Studies at the University of Bristol. Her work has been supported by a research stipend from the Fritz Thyssen Foundation (2019-2021). Key Research Areas: AI Ethics and Governance Data Protection and Privacy Digital Policy and Regulation Behavioral Economics in Digital Systems Mo Chen's publications explore the societal implications of China's Social Credit System, algorithmic regulation, and cross-cultural comparisons of data governance. Her work has received recognition, including a Best Paper Award nomination at ICIS 2023. Scientific Awards: Research stipend from the Fritz Thyssen Foundation (2019-2021) Best Paper Award nominee at the International Conference on Information Systems (ICIS) 2023

• Industrial Organization
• Political Economy
• Applied Microeconomics
• +۳ مورد دیگر

Juha Kasperi Tolvanen serves as an Assistant Professor in the Department of Economics and Finance at Tor Vergata University of Rome, teaching Master's-level courses including Game Theory and Industrial Organization, Industrial Organization, Microeconomics 2, and Strategy and Information since completing his PhD at Princeton University in 2016. His academic profile bridges theoretical rigor with practical applications in economic systems. His research investigates how information asymmetries and strategic communication shape social outcomes across two domains: industrial organization examines how minor informational advantages distort market structures and cause failures, while political economy analyzes anti-establishment parties' use of ambiguity to destabilize democracies. Tolvanen uniquely combines theoretical modeling with operational data from corporate partnerships to quantify the economic costs of information flows. Recent publications (2022-2025) reveal consistent exploration of information dynamics through high-impact studies in the RAND Journal of Economics, Management Science, and American Political Science Review. His work spans decentralized markets, algorithmic recommendations, political platforms, and demand estimation, demonstrating methodological versatility through experimental designs and empirical analyses of strategic behavior in markets and elections. No scientific awards or fellowships were documented in the source materials. Tolvanen actively mentors graduate students through course instruction and research supervision, while collaborating with companies to address real-world implications of information economics. Although specific grant details remain unreported, his applied research approach leverages day-to-day corporate operational data to translate academic insights into business solutions. He operates within Tor Vergata University of Rome's Department of Economics and Finance, with collaborative networks evidenced by co-authored publications spanning international institutions. His current work extends into moral hazard measurement, historical economic analysis, and strategic communication through active working papers.

• Journalism
• Communication
• Computational Communication
• +۵ مورد دیگر

Xu Xiang is a Tenured Professor and Vice Dean at Tongji University School of Art and Media , where he serves as Director of the Big Data and Computational Communication Research Center. He is also Editor-in-Chief of Computing, Intelligence, and Communication , reviewer for CSSCI journals, and former Deputy Secretary-General of Beijing Society of Literature and Art. PhD in Literary Theory (Beijing Normal University, 2009) M.A. in Chinese Language and Literature (Tsinghua University, 2006) B.A. in Sociology (Nanjing University, 2004) His research focuses on computational communication, particularly analyzing social media networks, user behavior, and information dissemination. He established key theoretical frameworks including 'Opinion Paradigm', 'Social Echo Chamber', 'Influence Circle', 'Idol Conformity', 'Emotional Setting', and 'Silent Public Opinion', with extensive publications on social media emotional dynamics, information narrowing, and cultural communication mechanisms. His 15 most recent publications (2017-2022) demonstrate consistent exploration across computational communication theory, algorithmic platform analysis, and social media's role in cultural dissemination. Key research trends include information narrowing mechanisms, emotional preference patterns, and structural transformations in social media ecosystems. Fourth China 'News Communication Academic Award' (2018) Youth New Media Academic Research 'Qi Hao Award' (2018) National News Academic Youth Scholar Award (2012) Beijing-Taiwan Research Award (2013) Beijing Outstanding Talent Funding (2011) Tongji University '13th Five-Year Plan' Scientific Research Advanced Individual (2020) As an award-winning mentor, he guided student teams to first, second, and third prizes in multiple national competitions including China Data Journalism Competition and National Undergraduate New Media Creative Competition. His research bridges academic theory with policy practice, with findings receiving Central Politburo member instructions and extensive national media coverage.

• Internet Governance
• Public Policy
• Cybersecurity
• +۵ مورد دیگر

Jesse Sowell is an Associate Professor at the University College London (UCL) in the STEaPP (Science, Technology, Engineering and Public Policy) department. His work intersects internet governance , cybersecurity policy , and public policy analysis , with a focus on emerging technologies like artificial intelligence and the Internet of Things. He contributes to the Sustainable Development Goal 11 (Sustainable Cities and Communities) through digital policy research. Email: j.sowell@ucl.ac.uk Collaboration Network: Active in international policy and cybersecurity research Research interests span: AI-driven policy crafting and systematic review methodologies Security lifecycle of IoT devices and networks Adaptive governance frameworks for digital risks Competition dynamics in internet infrastructure Transnational cybersecurity norms and incident response IPv4-IPv6 transition policy comparisons Publication trends reveal a focus on internet governance , cybersecurity , and AI policy , with increasing attention to IoT security (2017-2021) and AI integration in policymaking (2025). His work bridges technical and policy dimensions, emphasizing network resilience and multi-stakeholder collaboration .

Fatih Nayebiمشاهده پروفایل

مدرس

• Information Systems
• Data Science
• Machine Learning
• +۵ مورد دیگر

Dr. Fatih Nayebi is a Faculty Lecturer in Information Systems at McGill University while also serving as Vice President of Data & AI at the ALDO Group. He bridges academic research with enterprise innovation, focusing on data science, machine learning, and AI systems. Academic Background: Ph.D. in Computer Engineering from École de technologie supérieure M.Sc. in Software Engineering from Boğaziçi University B.Sc. in Computer Engineering from Boğaziçi University Dr. Nayebi's research interests include: Information Systems Data Science Machine Learning Engineering & MLOps Deep Learning Agentic AI Human-Computer Interaction AI in Retail His recent publications focus on AI for retail, mathematical foundations of AI, information integrity in democratic systems, and best practices for technical documentation. Dr. Nayebi also teaches graduate courses at McGill University including: Enterprise Data Science Machine Learning in Production Introduction to AI and Deep Learning Applications and Architectures of Deep Learning Designing and Developing Agentic AI Systems As an active speaker and thought leader, Dr. Nayebi has participated in events such as: World Summit AI Americas RETHINK Retail NRF Nexus 2025 Supply Chain Research Forum JOPT2025 - Annual Conference of Optimization Days He is also the founder of Gradient Divergence, an advisory studio focused on advanced AI solutions for retail and consumer brands.