Linda Argote is the Thomas Lord Professor of Organizational Behavior and Theory at the Tepper School of Business, Carnegie Mellon University. She serves as Director of the Center for Organizational Learning, Innovation, and Knowledge. Her academic journey includes prior roles such as David M. Kirr Professor and Carnegie Bosch Professor. She holds a Ph.D. in Organizational Psychology from the University of Michigan and a B.S. in Psychology from Tulane University. Her research focuses on organizational learning, innovation, knowledge transfer, and group processes, with notable contributions to transactive memory systems and team performance. Argote has received prestigious awards like the Joseph E. McGrath Award and an Honorary Doctorate. She actively contributes to academic leadership through roles in editorial boards, grant reviews, and university committees. Her teaching includes courses on organizational learning and strategic management.
Dr Jamie Woodcock is a Senior Lecturer in Digital Economy at King's College London, based in the Department of Digital Humanities within the Faculty of Arts & Humanities. He holds a PhD in sociology from Goldsmiths, University of London, and has held academic positions at institutions including the University of Leeds, University of Manchester, LSE, and the Open University. His research focuses on labour processes, platform work, gig economy dynamics, and worker organizing, with a particular emphasis on critical global capitalism and digital culture. Woodcock’s research interests include the games industry, unionization strategies, and resistance to algorithmic management. He is an editorial board member of Notes from Below and Historical Materialism , and contributes to interdisciplinary initiatives such as the Research Centre for Digital Culture and the Critical Global Capitalism Studies Collective at King’s. His work has been widely covered in media and he frequently speaks on digital labour issues. He has authored influential books like The Fight Against Platform Capitalism and The Gig Economy: A Critical Introduction , co-authored Guerrilla Democracy: Mobile Power and Revolution in the 21st Century , and published extensively on topics ranging from delivery platform strikes to gamification critiques. His recent recognition includes a 2025-26 Digital Futures Institute Fellowship.
Darren Dahl is a Professor at the University of British Columbia (UBC) Sauder School of Business , holding the RBC Financial Group Professor of Entrepreneurship chair. His research focuses on new product development , creativity , consumer emotions , social influence , and social marketing . Education: BCom from the University of Alberta, PhD from UBC Leadership: Dean of the Sauder School of Business Research Trends: Recent work emphasizes innovation strategies , consumer identity dynamics , ethical marketing , and social impact . He explores how organizational structures influence perceptions, the role of identity in consumption, and the psychological drivers of prosocial behavior. Contact: Office HA 769, Tel: 604-822-8556, Email: darren.dahl@sauder.ubc.ca
Manex Aguirrezabal Zabaleta is an Associate Professor in the Department of Nordic Studies and Linguistics at the University of Copenhagen. He previously held positions as a Postdoc (2017-2019) and Assistant Professor at the same institution. His educational background includes: PhD in Natural Language Processing from the University of the Basque Country (UPV/EHU), conducted at the IXA NLP group. Master's degree in Natural Language Processing from UPV/EHU. Bachelor's degree in Computer Science (5 years) from UPV/EHU. Dr. Aguirrezabal's research focuses on the computational analysis of poetry , particularly stress patterns in English. He explores whether computers can effectively analyze poetic structures, a field with roots in the 1980s but revitalized by modern techniques. Additionally, he investigates language generation , computational morphology and phonology , and finite-state methods . His work bridges traditional linguistic inquiry with cutting-edge natural language processing. Recent publications (2023-2024) demonstrate a diverse engagement with computational linguistics, including poetry generation, multimodal corpus development, clickbait analysis, and fact-checking. His research often employs zero-shot learning and language models, reflecting current trends in AI-driven linguistic analysis. He has contributed to international collaborations such as ParlaMint (multilingual parliamentary corpora) and the GEHM Zoom corpus. While specific grant details are not provided, his active publication record indicates ongoing research support. Dr. Aguirrezabal maintains a strong connection to his Basque heritage, having pursued his early education in the Basque language.
Fiona Lee is the Arthur F. Thurnau Professor of Psychology at the University of Michigan, with affiliations in Organizational Studies and the Advisory Committee. She holds a Ph.D. from Harvard University. Her research focuses on three core areas: Identity Integration (how individuals navigate multiple identities), Power Dynamics (effects of power on behavior), and Cultural Differences (impact of cultural contexts on organizations and individuals). She teaches courses on Organizational Psychology and Research Methods in Personality/Social Contexts. Lee’s work bridges social psychology and organizational behavior, emphasizing multicultural experiences and adaptation. Her recent studies explore refugee well-being, racial discrimination coping strategies, and the role of family in resettlement processes. Notably, she investigates how cultural identity integration influences creativity, decision-making, and social tolerance. Her publications span cross-cultural communication, biculturalism, and institutional barriers faced by minorities. Lee’s research often combines qualitative and quantitative methods to address real-world challenges in workplace dynamics and global mobility.
Casey Reas is a Professor of Design Media Arts at the University of California, Los Angeles (UCLA), within the UCLA School of the Arts and Architecture. Previously, he served as an Associate Professor at Interaction Design Institute Ivrea (2001–2003). His academic background includes a BSc in Design from the University of Cincinnati (1996) and an MSc in Media Arts and Sciences from MIT (2001). Reas co-created the open-source programming language Processing with Ben Fry, revolutionizing visual arts and education globally. He is renowned for blending art and technology, creating generative works exhibited in institutions like the Centre Georges Pompidou and the Whitney Museum of American Art. His research focuses on computational aesthetics, algorithmic art, and digital media's intersection with music and design. Education: Bachelor of Science in Design, University of Cincinnati, 1996 Master of Science in Media Arts and Sciences, MIT, 2001 Research Interests: Reas explores the synergy between code and creativity, emphasizing generative systems, real-time visualization, and interactive installations. His work often addresses themes of randomness, pattern formation, and human-computer interaction. Notable projects include Processing language development, music video collaborations with The National, and immersive installations like Sketch Machine and Warm Up . Recent Collaborations: Music videos for The National’s Sleep Well Beast (2017), blending algorithmic visuals with Grammy-winning music. Interactive installations such as Impure Functions (2017) and Warm Up (2017), co-created with UCLA’s Conditional Studio. Public commissions like Sketch Machine (2018), an open-source drawing tool for GIPHY. Awards: Contributor to The National’s Grammy Award for Best Alternative Music Album ( Sleep Well Beast , 2018). Labs/Teams: Reas leads the Reas Studio and collaborates with UCLA’s Arts Conditional Studio, focusing on experimental software, generative art, and interdisciplinary projects.
Mark de Rond is Professor of Organisational Ethnography at Cambridge Judge Business School and Fellow of Darwin College, University of Cambridge. His work focuses on immersive ethnographic studies of human behavior in extreme contexts including war zones, high-stakes sports, and controversial social movements, revealing how individuals navigate challenging circumstances through compromise and sensemaking. His educational background includes a DPhil from the University of Oxford alongside advanced degrees in management and economics, photojournalism, documentary photography, biography, creative nonfiction, and prose fiction. This multidisciplinary training informs his unconventional methodological approach. De Rond's research centers on extreme context ethnography, examining how pressure-cooker environments expose fundamental organizational dynamics. His work spans military medicine (Camp Bastion fieldwork), elite sports (Cambridge Boat Race), Amazon river expeditions, and controversial practices like paedophile hunting. Key contributions explore negotiation, conflict resolution, serendipity, institutional persistence, and the emotional toll of fieldwork, often employing innovative methods like enactive ethnography and linguistic analysis of digital communities. His recent publications reveal a growing focus on digital vigilantism and the societal implications of extreme practices, with increasing interdisciplinary reach across organizational studies, criminology, medical anthropology, and sociology. The work demonstrates methodological creativity through linguistic analysis of Facebook groups, embodiment studies in extreme environments, and dream-based reflexive techniques. Scientific recognition includes: BEST ARTICLE AWARD FOR 2016 Favorite MBA Professor honors from Poets & Quants (2021, 2022) Guinness World Record for first unsupported Amazon row De Rond advises MBA students and delivers executive education to top law firms (Slaughter and May, Allen & Overy), professional services (McKinsey, KPMG), corporations (Sky, BT, Diageo), and NGOs (UNICEF, NHS). His negotiation training from Harvard Law School informs both academic work and university mediation practice. Current research involves collaborative teams studying paedophile hunting (featured in Sundance-nominated documentary Predators ) and high-performance sports organizations, with fieldwork requiring deep immersion in challenging environments. His research methodology involves embedded collaboration with diverse teams including medical personnel in conflict zones, elite rowers, and controversial activist groups, often pushing methodological boundaries through photojournalism and creative nonfiction approaches.
Mennatallah El-Assady serves as Assistant Professor at ETH Zurich's Department of Computer Science, where she leads the Interactive Visualization and Intelligence Augmentation Lab (IVIA). Her academic trajectory includes research fellowships at ETH's AI Center and doctoral work at University of Konstanz and OntarioTech University, establishing her expertise at the intersection of visualization and artificial intelligence. Her research focuses on advancing responsible data-driven decision-making through human-centered analytics, with particular emphasis on explainable machine learning systems. Dr. El-Assady combines data mining techniques with visual interfaces to create transparent AI workflows, specializing in text data analysis. Her work bridges computational linguistics, digital humanities, and information visualization to develop tools that make complex AI processes interpretable for end users. Recent publications demonstrate growing focus on generative AI's impact on visualization practices and sophisticated frameworks for interactive machine learning. Her research consistently addresses the challenge of maintaining human agency in increasingly automated systems, with applications spanning political debate analysis, musicology, and healthcare data interpretation. The trend shows increasing sophistication in evaluation methodologies for visual analytics systems. Best Paper Award: Honorable Mention for 'Progressive Learning of Topic Modeling Parameters: A Visual Analytics Framework' Dr. El-Assady actively shapes her field through workshop leadership including ArgVis (Argument Visualization), Vis4DH (Visualization for Digital Humanities), and VISxAI (Visualization for AI Explainability). Her teaching includes 'Interactive Machine Learning- Visualization and Explainability' at ETH Zurich, training next-generation researchers in human-centered AI development. She maintains strong industry connections with coverage in Forbes and ETH News regarding human-AI collaboration frameworks. The Interactive Visualization and Intelligence Augmentation Lab (IVIA) develops cutting-edge tools including explAIner for transparent machine learning, LingVis for linguistic analysis, VisArgue for debate structure visualization, and VALIDA for political deliberation analysis. These projects share a common thread of enhancing human understanding through carefully designed visual interfaces that expose AI decision processes.
Sarah Turnbull is an Associate Professor at the University of Waterloo, affiliated with the Balsillie School for International Affairs. Her work intersects criminology, sociolegal studies, and critical border/migration studies, focusing on immigration detention, deportation, punishment, and social justice through postcolonial, antiracist, and feminist lenses. Education: PhD and MA in Criminology and Socio-Legal Studies from the University of Toronto; BA from Simon Fraser University. Her current research includes: (1) a SSHRC-funded study on the National Immigration Detention Framework in Canada using Foucauldian genealogical methods; (2) the Prison Transparency Project , a comparative analysis of carceral transparency in Canada, Spain, and Argentina; and (3) a transatlantic study on pandemic impacts in prisons. She employs ethnographic and qualitative methods in her research. Selected Grants: 2023–2030: Co-Investigator, Prison Transparency Project (SSHRC Partnership Grant). 2022–2025: Principal Investigator, Reforming Detention (SSHRC Insight Grant). 2022–2023: Co-Principal Investigator, COVID-19 Justice as Penal Justice (Strathclyde-Waterloo Transatlantic Award). Turnbull’s publications and collaborations emphasize systemic inequalities, carceral mobilities, and ethical research practices. She co-founded the Prison Transparency Project and has contributed to dialogues on art as resistance in detention settings.
Jay David Bolter holds the Wesley Chair of New Media and serves as Professor and Director of Computational Media at the Georgia Institute of Technology, where he is affiliated with the School of Literature, Media, and Communication within the Ivan Allen College of Liberal Arts. A foundational figure in digital media studies, he is renowned for his influential theoretical works and practical contributions to new media forms. His research spans Augmented Reality , Virtual Reality , Digital Culture , and the History of Media , with particular emphasis on remediation theory (developed with Richard Grusin) and the evolution of digital writing. As an active member of the Augmented Environments Lab, Bolter creates narrative-driven AR applications for cultural heritage sites and educational contexts, blending theoretical rigor with experimental design. His work consistently examines how new media technologies reshape human perception and cultural practices. Recent publications reveal a concentrated exploration of reality media (AR/VR) as narrative spaces, with articles addressing biofeedback integration in VR fitness, agency-driven interactive storytelling, and theoretical frameworks for understanding immersive experiences. His scholarship bridges historical media analysis with cutting-edge technical implementation, demonstrating how remediation processes continue to evolve in mixed reality environments. This trajectory reflects his lifelong investigation into the interplay between technological capabilities and human expression. Bolter maintains significant collaborative partnerships, including co-authoring seminal texts like Remediation and developing the Storyspace hypertext system with Michael Joyce. His leadership in the Augmented Environments Lab drives interdisciplinary projects that merge humanities perspectives with technological innovation, particularly in creating culturally resonant AR experiences. Teaching responsibilities include advanced courses in mixed reality design, computational media, and digital media theory, shaping the next generation of media scholars and practitioners.
Heather A. Haveman is a Professor of Sociology and Business at the University of California, Berkeley. She holds a B.A. in History (University of Toronto, 1982), an M.B.A. (University of Toronto, 1985), and a Ph.D. in Organizational Behavior and Industrial Relations (University of California, Berkeley, 1990). She has served at Duke University's Fuqua School of Business (1990-1994), Cornell University's Johnson Graduate School of Management (1994-1999), and Columbia University's Graduate School of Business (1998-2007) before joining UC Berkeley in 2006. Her research explores organizational evolution, industry dynamics, and career mobility. Key projects include studies of American tech firms, Chinese listed firms, and historical analyses of U.S. collegiate women's sports and 19th-century American magazines. She employs mixed methods, including NLP for literature reviews and corporate culture mapping. Recent publications span topics like organizational change and economic inequality (2025) computational literature reviews (2024) gender equality in corporate practices (2023) institutional logics in organizational behavior (2023) coevolution of capitalism and enterprise (2022) She has received prestigious awards including the 2016 ASA Best Book Award for Magazines and the Making of America 2017 Barrington Moore Book Award Her teaching portfolio includes graduate courses in organizational sociology and undergraduate classes on entrepreneurship and evidence evaluation. She actively mentors PhD students and provides detailed research design guidance via her personal website.
Eugenia Rho is an Assistant Professor in the Department of Computer Science at Virginia Polytechnic Institute and State University (Virginia Tech), part of the College of Engineering. Her research focuses on data analytics, machine learning, natural language processing, and human-computer interaction, with particular emphasis on social media discourse, online identity dynamics, and ethical AI applications. Education includes a Ph.D. in Information and Computer Sciences from the University of California, Irvine (2020), and a B.A. in Political Science from Columbia University (2011). Her interdisciplinary background bridges computer science and social sciences. Research interests span AI-assisted communication tools, counterspeech strategies for online hate mitigation, and neurodivergent perspectives in technology design. Her work often integrates computational methods with social science theories to address real-world challenges such as bias detection, mental health support, and ethical AI deployment. Recent publications highlight themes like AI collaboration in writing, identity-driven online interactions, and the efficacy of counterspeech. Her projects frequently involve designing human-centered technologies that prioritize accessibility and ethical considerations. No scientific awards are explicitly mentioned in the provided text. She maintains an active Google Scholar profile and a personal homepage (URLs not provided in the text).
Danqi Chen is an Associate Professor in the Department of Computer Science at Princeton University's School of Engineering and Applied Science. Their research focuses on advancing large language models (LLMs), with emphasis on model alignment, safety, and long-context reasoning capabilities. Key research areas: LLMs, AI safety, retrieval systems, and model optimization Recent work explores theorem proving, context encoding, and ethical content generation Their 2025 publications highlight innovations in formal verification scaffolding, attention mechanism efficiency, and copyright-aware generation. 2024 studies investigate continual memorization, rule-based chatbot representations, and scientific literature retrieval benchmarks. Current projects demonstrate commitment to improving model robustness, interpretability, and security compliance in multimodal systems.
Tanja Käser is a Tenure Track Assistant Professor at EPFL's School of Computer and Communication Sciences (IC), leading the Machine Learning for Education Laboratory (ML4ED). Her interdisciplinary research bridges machine learning, data mining, and educational technology, focusing on personalized learning systems and human behavior modeling. PhD in Computer Science (ETH Zurich, 2015) - honored with Fritz Kutter Award Former Senior Data Scientist at Swiss Data Science Center (ETH Zurich) Postdoctoral Researcher at Stanford University's Graduate School of Education Research Focus Explainable AI for education Adaptive learning environments Behavioral pattern recognition Generative AI applications in pedagogy User modeling and personalization Learning analytics in unstructured settings Recent Publication Trends Her 2024-2023 work demonstrates: Interpretable clustering of learners Transformer-based language learning prediction GAN applications for creative education Teacher-AI collaboration frameworks Explainability validation methods Modular network architectures Scientific Recognition Fritz Kutter Award for best Swiss computer science thesis (2015) Advising & Collaborations Currently supervises multiple PhD students including: Cock Jade Maï L Glandorf Dominik Güres Fatma-Betül Neshaei Seyed Parsa Radmehr Bahar Shibu Abhinand Shved Ekaterina Research Infrastructure Operates from EPFL's ML4ED laboratory with hybrid on-site and digital educational systems research capabilities.
Mohit Iyyer is an Associate Professor in Computer Science at the University of Maryland, College Park (UMD), affiliated with the Manning College of Information and Computer Sciences (CICS) and the CLIP lab. Previously, he held roles at UMass Amherst, AI2, and completed his PhD at the University of Maryland. His research focuses on advancing NLP and machine learning, particularly in long-context LLMs, factuality evaluation, and human-LLM collaboration. Education : PhD, Computer Science, University of Maryland, College Park (2017) MS, Computer Science, University of Maryland, College Park (2014) BS, Computer Science, Washington University (2012) Research Interests : His work emphasizes improving instruction-following in LLMs, evaluating long-form text, detecting AI-generated content, and enhancing LLM robustness. He actively explores multilingual LLMs, literary translation, and creative writing support through AI. Key Contributions : Developed influential frameworks like ELMo and QuAC, and introduced benchmarks such as BEARCUBS and BooookScore. His work on watermarking (PostMark) and adversarial attacks (OverThink) addresses security and reliability in AI systems. Awards & Recognition : NSF CAREER Award (2021) Samsung AI Researcher of the Year (2022) Best Paper Awards at NAACL 2018 and CCS 2023 Advising & Grants : Advises a dynamic research group and has received grants for projects like multilingual QA and long-context LLM evaluation. Collaborates with industry partners like AI2 and DeepMind. Labs & Teams : Leads the CLIP lab at UMD, focusing on foundational NLP research and applications in literature, dialogue systems, and computational storytelling.
