Matthew Kay is an Associate Professor in the Department of Communication Studies at Northwestern University's School of Communication, with a secondary appointment in Computer Science. He serves as Co-Director of Graduate Studies for the PhD in Technology and Social Behavior program. His research focuses on human-computer interaction and information visualization, specializing in uncertainty communication, usable statistics, and personal informatics. He employs mixed-method approaches including behavioral analysis, interactive system development, and visualization technique evaluation to address real-world data interpretation challenges. Analysis of his recent publications reveals dominant themes in visualization literacy development, uncertainty representation for decision-making, and health informatics applications. His work consistently bridges theoretical frameworks with practical implementations, particularly in educational assessment tools and election forecast visualizations. Professor Kay co-directs the Midwest Uncertainty Collective (MU collective), a research group advancing uncertainty communication methodologies. Previously faculty at the University of Michigan School of Information, he maintains active contributions to visualization tool development including the ggdist R package for uncertainty visualization.
Prof. Dr. André Bardow is a Full Professor in Energy and Process Systems Engineering at ETH Zurich , leading research at the intersection of thermodynamics, machine learning, and sustainable energy systems. Previously, he held professorships at RWTH Aachen University (2010-2020) and TU Delft (2007-2010). He also served as part-time director at Forschungszentrum Jülich (2017-2022) and visiting professor at UC Santa Barbara (2015/16). His work focuses on energy systems optimization , computer-aided molecular design , and CO2 capture & utilization . PhD from RWTH Aachen University Current ETH Zurich affiliation Former roles at RWTH Aachen, TU Delft, Jülich Research Center His research integrates machine learning with thermodynamic modeling to optimize processes like crystallization and electrochemical cooling . Recent publications demonstrate advancements in solvent design, CO2 transport LCA, and ORC working fluid optimization. He chairs the VDI Technical Committee for Thermodynamics (2016-2024) and has received multiple awards including the Covestro Science Award and Arnold-Eucken-Award . Current projects address carbon circular economies , electrified chemical production , and AI-driven process optimization . His lab at ETH Zurich develops cutting-edge technologies like ML-CAMPD frameworks for sustainable separation processes and photoacid-based CO2 capture systems. Funding from the H2020 Systemic Expansion of Circular Ecosystems (grant 101036854) supports these initiatives. 2024 Clarivate Highly Cited Researcher 2022 Inaugural Lecture: "To sustainability and beyond: A computer-animated story on energy & chemicals" Recipient of multiple teaching and research excellence awards
Raquel Fernández is Full Professor of Computational Linguistics and Dialogue Systems at the University of Amsterdam, where she leads the Dialogue Modelling Group at the Institute for Logic, Language & Computation (ILLC). As Vice-Director for Research at ILLC and a Fellow of the ELLIS Society, she bridges computational linguistics, cognitive science, and artificial intelligence through her research on language use in multimodal and conversational contexts. PhD in Computational Linguistics from King's College London Prior research positions at University of Potsdam and Stanford University's CSLI Her work explores how cognitive constraints, social interaction, and perception shape language use, with a focus on: Visually-grounded language processing Multimodal dialogue modeling Model uncertainty and calibration Language grounding in multimodal data Language learning and semantic change Dialogue reference resolution Recent publications analyze multimodal reasoning limitations, cross-lingual knowledge consistency, and uncertainty modeling in dialogue systems. She has received multiple accolades including an ERC Consolidator Grant , NWO VENI/VIDI/Aspasia fellowships , and EMNLP/GenBench awards . Outstanding Paper Award (EMNLP 2023) Best Data Award (GenBench Workshop 2023) ELLIS Society Fellow ERC Consolidator Grant #819455 recipient NWO VENI/VIDI/Aspasia awardee As a leader in academic service, she serves on the SIGDAT Executive Committee and chairs multiple conference committees. Her lab develops models for multimodal dialogue, visual storytelling, and grounded language understanding.
Alexey Vladimirovich Vdovin is a Professor and Senior Research Fellow at the National Research University Higher School of Economics (HSE), working within the Faculty of Humanities and School of Philological Sciences. He began his tenure at HSE in 2012 and has accumulated 15 years of scientific and teaching experience. His academic journey includes a Doctor of Philology degree from HSE (2023), a PhD from the University of Tartu (2011), and his initial degree in 'Russian language and literature' from Vyatka State Humanitarian University (2007). He has held significant roles including Deputy Dean for Science at the Faculty of Humanities (2018-2020) and serves on numerous academic councils and committees. Vdovin's educational background demonstrates both depth and international perspective. After completing his undergraduate studies at Vyatka State Humanitarian University in 2007, he pursued doctoral studies at the University of Tartu, where he earned his PhD in 2011 with a dissertation on 'The concept of 'chapter of literature' in Russian criticism of the 1830-1860s.' His academic development has been enriched by numerous international experiences, including visiting researcher positions at Selwyn College, University of Cambridge (2019), Jordan Center at New York University (2017), and multiple research stays at Humboldt University in Berlin through the Aurora Erasmus Mundus program. Professor Vdovin's research focuses on Russian intellectual history, the history of ideas, the Russian Empire, Russian literature of the 19th century, and nationalism studies. His work particularly examines the formation of the Russian literary canon, representations of peasants in literature, and the relationship between literature and society. He has authored approximately 80 articles and 4 monographs on 19th-century Russian literature, culture, and criticism, with works on major figures like Turgenev, Dostoevsky, Tolstoy, Goncharov, Belinsky, Chernyshevsky, Dobrolyubov, and Nekrasov. His recent book 'Monsters at the Threshold: Dracula, Frankenstein, Viy and Other Literary Monsters' (2024) demonstrates his expanding interest in literary archetypes and cultural phenomena. Vdovin has received numerous awards and recognitions for his scholarly work, including the Moscow Government Prize for young scientists (2017), multiple 'Best Teacher' awards (2013-2015, 2017-2024), and recognition as a winner of HSE's competition for best Russian-language scientific works (2022, 2024). He has also received various letters of gratitude from HSE administration, the Faculty of Humanities, and the School of Philology for his contributions to academic life. As an advisor, Vdovin has supervised numerous student research projects, including Smirnova T.V.'s 2014 master's thesis on 'Representation of 'Russianness' and 'Otherness' in Russian essays of the 1840s.' He has also served as a curator for HSE's Personnel Reserve Program at the School of Philological Sciences and has been actively involved in dissertation councils. His research has been supported by significant grants, including a 2024-2025 Russian Science Foundation grant 'The Genre of 'Peasant Life Story' in Russian Literature Before 1861: Poetics, Plots, Socio-Cultural Functions' (No 24-28-00184) and a 2018-2020 RFBR grant on 'State and Literary Institutions: From Peter I's Reforms to the 'Great Reforms.' Professor Vdovin is actively engaged in academic communities beyond HSE, serving as editor-in-chief of the HSE preprint series 'Literary Studies' and participating in the Big Project 'Literature and Society: An Experience of Sociocultural Description.' He is also involved in public scholarship, frequently giving public lectures through platforms like 'Arzamas,' 'Postnauka,' and 'Stradarium,' and appearing on the 'Observer' television program (Culture channel). Since 2015, he has been a mentor at Maya Kucherskaya's Creative Writing School, bridging academic scholarship with creative practice.
Teruko Mitamura is a prominent researcher at Carnegie Mellon University with over three decades of contributions to natural language processing, computational linguistics, and artificial intelligence. Her work spans from foundational research in event representation to advanced applications in multimodal systems and question answering. Her research interests focus on event detection and understanding, question answering systems, information retrieval, and multimodal processing. She has made significant contributions to event coreference resolution, timeline construction, and cross-document event analysis, developing methodologies that have become standard in the field. Her work often bridges theoretical advances with practical applications, particularly in complex information environments requiring deep semantic understanding. Natural Language Processing : Specializing in event extraction, coreference resolution, and narrative understanding with over 179 publications Question Answering Systems : Developing advanced techniques for complex question answering, particularly through NTCIR QA Lab and PoliInfo tasks Multimodal Processing : Integrating textual, visual, and temporal information for richer understanding in systems like ProMQA Evaluation Methodologies : Creating robust frameworks for assessing NLP systems through TAC KBP Event Tracks Her recent publication trends show a strong focus on leveraging large language models for event understanding, multimodal question answering, and timeline construction. She has expanded her research into specialized domains including patent analysis and novelty examination, demonstrating the breadth of her research impact across academic and practical applications. Active participant in major NLP conferences including ACL, EMNLP, NAACL, and AAAI with consistent publications Long-standing collaborator with researchers at CMU's Language Technologies Institute including Eduard H. Hovy and Eric Nyberg Contributor to shared tasks that have shaped research directions in event processing and question answering Organizer of multiple NTCIR QA Lab tasks focused on political information question answering Dr. Mitamura has mentored numerous researchers who have gone on to make their own contributions to the field, as evidenced by her extensive co-authorship network and the progression of her former students and collaborators into faculty and research positions. Her work continues to evolve with the field while maintaining her focus on deep semantic understanding of events and narratives.
Constantinos Daskalakis is the Armen Avanessians (1982) Professor in the MIT Schwarzman College of Computing and the Department of Electrical Engineering and Computer Science (EECS). He joined MIT in 2009 and is a member of the Computer Science and Artificial Intelligence Laboratory (CSAIL), affiliated with the Laboratory for Information and Decision Systems (LIDS) and the Operations Research Center (ORC). His research focuses on theoretical computer science, with emphasis on game theory, machine learning, and high-dimensional statistics. Education: Ph.D. in Computer Science (not explicitly stated, but implied by tenure and awards). Research interests include computational complexity of Nash equilibria, multi-item auctions, machine learning algorithms, and causal inference. His work bridges game theory, economics, probability, and statistics, with applications in AI and healthcare. Key contributions include resolving long-standing problems in computational game theory and developing efficient methods for statistical hypothesis testing. He has been recognized with the 2018 Nevanlinna Prize, ACM Grace Murray Hopper Award, and the Kalai Game Theory Prize. Affiliations: CSAIL, LIDS, ORC, and the Foundations of Data Science Institute. Active in multi-agent learning, bias mitigation in data, and generative models.
Tom van Laer is an Associate Professor of Marketing and Deputy Head of Discipline, Research at The University of Sydney Business School. He is globally recognized as the leading expert in storytelling and narrative persuasion, currently occupying the top position on Elsevier's SciVal top 100 list for the most-cited researchers in this domain. His academic journey includes a BA and MA from Nijmegen and a PhD from Maastricht University. Dr. van Laer's research explores storytelling, persuasion, and messaging through an interdisciplinary approach that bridges behavioral experiments, quantitative modeling, and interpretive research. His work spans narrative transportation theory, consumer reviews analysis, digital storytelling, and the psychological mechanisms behind how stories influence consumer behavior. He has developed influential frameworks including the Extended Transportation-Imagery Model and narrative agency theory, with particular expertise in analyzing how stories shape responses to climate change communications and social conflict narratives. His publication record features articles in the most prestigious academic journals including the Journal of Consumer Research (where he serves as Area Editor), Journal of the Academy of Marketing Science, Journal of Business Ethics, Journal of Management Information Systems, and International Journal of Research in Marketing. His recent work shows a strong trend toward meta-analyses of narrative effects, climate change communication, and the psychological mechanisms of 'bleed' between fictional experiences and real-world behavior. Dr. van Laer is an active media commentator whose research has garnered extensive global coverage across Australia, France, Germany, the Netherlands, the UK, and the US, including national television and radio interviews. His media engagement focuses on storytelling in political campaigns, social media marketing, and the psychological impact of narratives in consumer contexts. He teaches MKTG3121 Advertising: Persuasive Principles and MKTG6006 Persuasive Advertising: Illuminating Dark Art, and has received recognition for both research and teaching excellence. His professional affiliations include the Association for Consumer Research, Australian Marketing Institute, Australian & New Zealand Marketing Academy, and International Society for the Study of Narrative. Dr. van Laer is a member of several university research centers including the Sydney Centre for Healthy Societies, Sydney Environment Institute, and Charles Perkins Centre, where he contributes his expertise in narrative persuasion to interdisciplinary research on societal challenges.
Timothy R. Tangherlini serves as the Elizabeth H. and Eugene A. Shurtleff Chair in Undergraduate Education and Professor in the Department of Scandinavian and the School of Information at the University of California, Berkeley. A distinguished folklorist and ethnographer, he has pioneered computational approaches to folklore studies, bridging traditional humanities scholarship with cutting-edge digital methods. His research expertise spans multiple interconnected domains: Digital humanities and computational folkloristics Danish and Scandinavian cultural traditions Network analysis of narrative structures Machine learning applications in cultural analysis Conspiracy theory formation and transmission Korean cultural studies and K-Pop analysis Tangherlini's work focuses on how stories circulate across social networks and how individuals use narratives to negotiate ideology within their social groups. He has been instrumental in developing the field of Culture Analytics, co-directing a three-year program at the NSF's Institute for Pure and Applied Mathematics and leading the NEH's Institute for Advanced Topics in Digital Humanities on Network Analysis for the Humanities. His research combines ethnographic depth with computational sophistication, creating novel methodologies for analyzing large cultural corpora. His scholarly contributions have earned him significant recognition: Fellow of the American Folklore Society Fellow of the Royal Gustav Adolf Academy (one of Sweden's Royal Academies) Elizabeth H. and Eugene A. Shurtleff Chair in Undergraduate Education Tangherlini has secured substantial funding from prestigious organizations including the NEH, NSF, NIH, AFOSR, Mellon Foundation, Nordic Council of Ministers, and Google. His work on conspiracy theories, K-Pop choreography analysis, and historical Danish folklore has garnered media attention, demonstrating the public relevance of his research. With extensive international experience including appointments at the University of Copenhagen, University of Iceland, and Harvard University, he maintains a global scholarly perspective while contributing significantly to undergraduate education at Berkeley.
Anna Chalachanova is an Associate Professor in the Department of Health at VID University College, Norway. Her academic work centers on disability research, inclusive methodologies, and citizenship studies, with a primary focus on people with intellectual disabilities across Norway, Slovakia, and Great Britain. Her research spans inclusive research practices, citizenship frameworks for people with intellectual disabilities, higher education accessibility, sexual citizenship, religious inclusion, and protective care. She investigates how intellectual disabilities intersect with everyday citizenship experiences, voting rights, educational participation, and personal assistance services through participatory and co-creative methodologies that prioritize disabled voices. Analysis of her 15 most recent publications (2019-2025) reveals consistent thematic focus on citizenship and inclusion, with methodological emphasis on participatory research. Key trends include comparative studies between Norway and Slovakia, sexual citizenship barriers within personal assistance systems, and higher education experiences for intellectually disabled students. Her work demonstrates strong commitment to amplifying marginalized perspectives through narrative and co-created research approaches. Chalachanova actively contributes to multiple research initiatives including the ongoing PATHWAYS project (Faculty of Social Sciences) examining vulnerable institutional pathways for youth, and "To allow in" focused on barrier reduction for people with intellectual disabilities. Completed projects include "Higher education for people with intellectual disabilities" and "My vote counts too!" which evaluated voting participation mechanisms. These projects involve collaborations across Norwegian institutions, Slovakia, and Great Britain. Based in VID University College's Department of Health, she operates within interdisciplinary teams addressing disability inclusion through international partnerships. Her work connects Norwegian higher education contexts with Slovakian comparative frameworks, driving initiatives that transform citizenship practices and educational access for people with intellectual disabilities through evidence-based interventions.
David Herzog is a Professor at the Missouri School of Journalism, University of Missouri, where he serves as Director of Data & Research Services and academic adviser to the National Institute for Computer-Assisted Reporting (NICAR) under Investigative Reporters and Editors (IRE). He plays a key role in guiding data journalism initiatives and professional training programs, including the Dow Jones News Fund residency. Herzog specializes in data journalism , investigative reporting , and access to public information . His work emphasizes the use of data analysis tools in storytelling and journalism education. He has contributed significantly to the development of data journalism curricula both nationally and internationally, particularly through the Missouri Method. He was awarded the 2020 Provost's Award for Leadership in International Education for his global outreach, having trained journalists and faculty from over ten countries. He advised the launch of the first university-based data journalism lab in China at Wuhan University. Author of Data Literacy: A User’s Guide (SAGE, 2015) Co-author of Mapping for Stories: A Data Journalism Guide (IRE, 2018) Developed and teaches data journalism courses for both students and professionals Involved in the interdisciplinary online M.S. in Data Science and Analytics program Herzog has a background as an investigative reporter with experience at The Providence Journal , The Baltimore Sun , and The Morning Call . His efforts have helped institutionalize data-driven journalism in academic and professional settings worldwide.
Barbara Gowdy is an esteemed Adjunct Professor and a prolific novelist and short-story writer , renowned for her contributions to fiction across multiple genres. She has achieved international recognition with publications in 24 countries and received prestigious accolades such as the Trillium Book Award and a Guggenheim Fellowship . Her work has been shortlisted for major literary prizes, including the Booker Prize and the Governor General’s Award .
Dinah Ribard is a Director of Studies at the École des Hautes Études en Sciences Sociales (EHESS), working within the Centre de Recherches Historiques (CRH). She serves as Center Director for the GRIHL (Groupe de recherche interdisciplinaire sur l'histoire du libéralisme) research group. Her academic career has been dedicated to the historical study of work, intellectual practices, and cultural production from the early modern period through the 19th century. Ribard completed her thesis in December 2000 at the University of Paris III - Sorbonne Nouvelle under the direction of Alain Viala, entitled "Live Tell Think. Research on the literary status of the philosopher: the Lives of philosophers in France 1650-1766." She was formerly a student at the École Normale Supérieure (Ulm) and holds a degree in Modern Literature. Prior to her position at EHESS, she served as an ATER (Attaché Temporaire d'Enseignement et de Recherche) at Paris III University from 1999 to 2001 and taught at Lycée Jacques-Feyder in Epinay sur Seine from 2001 to 2003. Ribard's research focuses on the history of work from multiple perspectives - examining both intellectual work (1600-1900) and material labor. She investigates how work has been conceptualized, narrated, and institutionalized throughout history. Her work explores the relationship between knowledge production and labor, analyzing how different professions and social statuses have shaped intellectual and cultural practices. She examines the historical construction of disciplines, professions, and social classifications, with particular attention to how writing practices intersect with work identities. Her recent publications reveal a consistent focus on the relationship between writing, work, and social identity across the early modern and modern periods. Ribard's scholarship demonstrates how textual practices were embedded in specific work contexts, from artisanal workshops to academic institutions. Her work shows how literary forms were used to construct professional identities and how writing practices served as forms of political action. She has made significant contributions to understanding the historical relationship between intellectual labor and material production. Ribard has published extensively, including the notable 2023 book "Le Menuisier de Nevers. Poésie ouvrière, fait littéraire et classes sociales (XVIIe-XIXe siècle)" which examines how working-class poetry was historically constructed and marginalized. Her scholarship challenges traditional literary classifications and reveals how social categories have been historically produced through cultural practices. As Director of Studies at EHESS, Ribard supervises doctoral students and contributes to the academic training of historians. She co-responsible for the Grihl seminar and teaches courses at EHESS on topics including "Writings of the Past. Literature and History: Methods, Theories, Fields" and "History and stories of work." Her teaching reflects her research interests in the intersection of literary practices, historical methodology, and social analysis. Within the CRH, Ribard is affiliated with the GRIHL research group, which focuses on the interdisciplinary history of liberalism. Her work bridges historical, literary, and sociological approaches to understanding the development of social and intellectual categories. Through her research, teaching, and institutional leadership, Ribard has made significant contributions to the historical understanding of work, knowledge production, and cultural classification.
Achim Menges is a Research Professor and Max Planck Fellow at the University of Stuttgart, where he directs the Institute for Computational Design and Construction (ICD). His work bridges architecture, engineering, and computational design, with a focus on developing innovative construction methods and materials. Menges leads the Cluster of Excellence IntCDC: Integrative Computational Design and Construction for Architecture, a major research initiative funded by the German Research Foundation. Menges' research centers on computational design, robotic construction, and biomimetic architecture, with particular emphasis on timber construction, adaptive building systems, and digital fabrication. His work integrates principles from bionics to create responsive, sustainable building systems that adapt to environmental conditions. Notable projects include the BUGA Wood Pavilion (2019), Urbach Tower, BUGA Fibre Pavilion, and the livMatS Biomimetic Shell, all demonstrating his commitment to material innovation and sustainable construction practices. His recent publications reveal a consistent focus on advancing timber construction techniques, developing bio-inspired responsive systems, and implementing robotic fabrication processes. The research shows a clear trajectory toward more sustainable, resource-efficient building methods that integrate digital design with physical construction processes. Menges' work increasingly addresses multi-story timber systems and circular construction principles. Bauwende Prize der Universität Stuttgart 2025 Menges leads numerous research initiatives through the Cluster of Excellence IntCDC, securing significant funding for projects exploring computational design and robotic construction. His work involves extensive collaboration with industry partners and interdisciplinary research teams. Menges directs the ICD research laboratory, which focuses on developing novel computational design methods, robotic fabrication processes, and innovative material systems for architecture. The institute maintains strong partnerships with industry leaders in construction technology and materials science, facilitating the translation of research into practical applications.
Dr. Emilio Ferrara is a Professor of Computer Science & Communication at the University of Southern California, holding appointments in the Viterbi School of Engineering, Annenberg School for Communication and Journalism, and Keck School of Medicine. He serves as Associate Director of Applied Data Science at USC, Research Team Leader at the USC Information Sciences Institute, and Principal Investigator at the USC/ISI Machine Intelligence and Data Science (MINDS) group. His educational background includes a PhD in Machine Learning and BSc & MSc in Computer Science. Ferrara's research focuses on the intersection of artificial intelligence and computational social science, specifically using AI to model and predict human behavior in techno-social systems. His work spans social networks, machine learning, and network science with applications to understanding communication dynamics in digital environments. Ferrara has published over 150 articles in prestigious venues including Proceedings of the National Academy of Sciences, Communications of the ACM, and Physical Review Letters. His research has been widely featured in major news outlets and examines topics ranging from social media manipulation to AI ethics and online behavior. His scientific achievements have been recognized with numerous awards: 2019 Viterbi Scientific Award 2018 DARPA Director's Fellowship 2016 DARPA Young Faculty Award 2016 Complex Systems Society Junior Scientific Award 2015 IBM Watson Big Data Influencer Ferrara's research is supported by major funding agencies including DARPA, IARPA, Air Force, and Office of Naval Research. He leads the HUMANS LAB (Humans & Machines + Networks & Social Systems) which has trained numerous PhD students who have gone on to successful careers in academia and industry. His work on social bots, election integrity, and AI ethics continues to shape understanding of digital social dynamics.
Rick Hoyle is a Professor of Psychology and Neuroscience at Duke University, where he serves as Associate Chair of the Department of Psychology and Neuroscience. He is also a Faculty Network Member of the Duke Institute for Brain Sciences. His academic career spans decades, with significant contributions to understanding self-regulation and adolescent development. Dr. Hoyle earned his B.A. from Appalachian State University (1983), followed by an M.A. (1986) and Ph.D. (1988) from the University of North Carolina, Chapel Hill. He progressed from Assistant to Associate to Full Professor at the University of Kentucky from 1989 to 2003 before joining Duke University. His research focuses on how adolescents and emerging adults manage goal pursuit through self-regulation, taking a broad view that accounts for personality, environment, cognition, emotion, and social influences. He employs longitudinal methods with repeated assessments, sometimes spanning years with data collection multiple times per year, or intensive studies with assessments several times daily. His lab develops innovative measurement tools including self-report measures of self-control and grit, as well as unobtrusive approaches using mobile phones and wearable devices to track goal pursuit in natural settings. His recent publications reveal a strong focus on self-regulation in digital contexts, adolescent substance use, socioeconomic influences on development, and innovative measurement approaches. His work increasingly integrates technology (social media analysis, wearable devices) with traditional psychological research methods to understand real-world behavior. Fellow, Association for Psychological Science (2013) Dr. Hoyle has secured numerous research grants totaling millions of dollars, including the current Real-Time and Randomized Tests of Social Media and Mental Health Links in Early Adolescence (2024-2029), NCCU Duke - Substance Use Research & Education (2024-2029), and Mid-Life Health Inequalities in the Rural South: Risk and Resilience (2023-2028). His grant portfolio demonstrates sustained funding for research on adolescent development, substance use, self-regulation, and health disparities. He teaches advanced courses including Applied Structural Equation Modeling and Psychology and Neuroscience Grant Writing, mentoring the next generation of researchers in quantitative methods and research design. His work through the Center for the Study of Adolescent Risk and Resilience (2008-2025) has established a significant research infrastructure for longitudinal studies of adolescent development. Current projects examine social media effects on mental health, substance use patterns, and the impact of environmental factors on adolescent well-being using innovative digital tracking methods.
