Caroline Bassett is a Professor of Digital Humanities at the University of Cambridge, affiliated with the Faculty of English and serving as Director of Cambridge Digital Humanities (CDH). Her work bridges computational technologies, cultural forms, critical theories of technology, and media arts, with a focus on science fiction, automation anxiety, AI, and feminist digital studies. She has held visiting fellowships at institutions such as the Helsinki Collegium for Advanced Studies and co-founded the Sussex Humanities Lab at the University of Sussex. Education: BA (University of London), MA and PhD (University of Sussex). Her research interests center on the intersection of digital media, critical theory, and epistemic cultures. Key areas include AI’s impact on knowledge production, media archaeology, feminist critiques of technology, and the sociopolitical implications of automation. She explores these themes through theoretical frameworks, science fiction, and historical analyses of digital systems. Caroline’s publications span digital humanities, feminist theory, and media archaeology. Recent works examine computational therapeutics, postdigital aesthetics, and the ethics of everyday digital practices. Her book Anti-Computing (2021) highlights resistance to computerized culture, while Furious (2019) interrogates feminist digital futures. At Cambridge, Bassett leads interdisciplinary research through CDH and serves as a Professorial Fellow. She advises graduate students on topics like algorithmic justice, media archaeology, and digital media arts, and her work engages with technocultural transformation and the politics of AI.
Martin Willis Monroe is an Assistant Professor in the Department of Classics and Ancient History at the University of New Brunswick. His research focuses on the ancient Middle East, particularly cuneiform cultures, with an emphasis on the history of scholarly knowledge in Babylonian and Assyrian societies. He specializes in Mesopotamian astronomy and astrology, as well as quantitative approaches to historical data. Dr. Monroe holds a PhD in Assyriology from Brown University (2016), an MPhil and BA in Ancient Near Eastern Studies from the School of Oriental and African Studies (2008, 2007). Previously, he served as a postdoctoral fellow and research associate at the University of British Columbia (2016–2023). His current projects include the publication of his Hellenistic astrology research under contract with Brill, titled Celestial Schemata: A Series of Astrological Tables from Seleucid Babylonia , and his role as associate director of the Database of Religious History , a global initiative to quantitatively analyze religious and cultural data. He has contributed to excavations at the Neo-Assyrian site of Tušhan in southeastern Turkey and advocates for responsible qualitative-to-quantitative data conversion in historical scholarship. Dr. Monroe’s research bridges traditional philological approaches with digital humanities, focusing on topics such as cuneiform astral diagrams, the intersection of ‘scientific’ and ‘religious’ texts in antiquity, and the application of computational methods to undeciphered scripts. He teaches courses on ancient civilizations, Near Eastern history, and archaeology.
Xiuwei Zhang is the J.Z. Liang Early-Career Assistant Professor in the School of Computational Science and Engineering (SCoSE) at Georgia Institute of Technology, part of the College of Computing. Her research focuses on computational biology and bioinformatics, particularly in developing machine learning methods for analyzing single-cell omics data, including multi-modal, temporal, and spatial data integration. She leads a lab that designs tools like scDART , scMoMaT , and scMultiSim , which address challenges in multi-omics integration, lineage reconstruction, and simulation. Before joining Georgia Tech, she held postdoctoral positions at UC Berkeley (Nir Yosef’s group), the European Bioinformatics Institute (EBI), and École Polytechnique Fédérale de Lausanne (EPFL). She earned her PhD in computer science from EPFL under Bernard Moret. Her Erdős number is 3, reflecting her collaborative work across computational fields. Her research spans four key areas: multi-batch/single-cell data integration, temporal analysis of cell differentiation, spatial-temporal omics dynamics, and simulation tools for benchmarking methods. She has received prestigious awards, including the NSF CAREER Award (2022) and NIH MIRA (2021). She actively participates in conferences (RECOMB, ISMB) and serves on editorial boards (Journal of Computational Biology). Her group’s recent work includes the scMultiSim simulator (2025), which generates multi-omics spatial data, and LinRace (2023), reconstructing cell lineage histories. She mentors over 15 students and collaborates internationally on projects like the InQuBATE Workshop on Single-Cell Transcriptomics.
James Manning is a Lecturer in Digital Design at RMIT University's School of Design. His research focuses on game design, digital media, and cultural memory, exploring topics such as game preservation, livestreaming practices, and the intersection of play and technology. He is particularly interested in 'anarchaeological' approaches to defunct games and the documentation of everyday play practices. His teaching interests include game studies, interactive media, animation aesthetics, and design methodology. He actively supervises research in strategies for reflective shortform game design and has contributed to projects like the Astrosurf interactive dome experience. Key research themes include media archaeology, esports culture, and the sociocultural dimensions of digital games. His work bridges theoretical frameworks with empirical studies, examining how digital platforms shape media consumption and cultural production.
Emre Telatar is a Full Professor at École Polytechnique Fédérale de Lausanne (EPFL) with multiple affiliations within the School of Computer and Communication Sciences. His primary appointment is in the Laboratory of Theory and History of Information (LTHI), with additional roles in Signal and Image Processing (SSC) and Systems and Networking (SIN). He also serves on the PhD program committee for Computer and Communication Sciences. Professor Telatar's research focuses on communication and information theories, with specific expertise in wireless communication, network information theory, and distributed compression. His work has been consistently sponsored by the Swiss National Science Foundation and the NCCR/MICS (National Center of Competence in Research / Mobile Information & Communication Systems). His research demonstrates a strong theoretical foundation with practical applications in modern communication systems. His publication record shows a sustained contribution to the field, with significant papers spanning from the mid-1990s through the 2000s. The research trends indicate a consistent focus on fundamental aspects of communication theory with evolving applications to multi-antenna systems, ad hoc networks, and channel estimation techniques. Scientific recognition includes: IEEE Information Theory Society Paper Award (2001) EPFL Agepoly teaching prize (2005) Professor Telatar has supervised numerous PhD students throughout his career at EPFL, serving as primary advisor to current students including Coban Serhat Emre, Girish Adway, and Song Ryan Yuanqing, as well as many past students who have completed their doctoral studies under his guidance. His teaching includes foundational courses such as Principles of Digital Communications and Information Theory and Coding. He maintains his research laboratory within the Information Theory Laboratory at EPFL, continuing to advance theoretical frameworks for modern communication systems while mentoring the next generation of researchers in the field.
Elaine Treharne serves as the Roberta Bowman Denning Professor of Humanities at Stanford University, holding primary appointment in the Department of English with courtesy appointments in German Studies and Comparative Literature. She concurrently acts as Senior Associate Vice Provost for Undergraduate Education and Director of Curriculum, while directing Stanford Text Technologies—a major initiative exploring textual transmission across historical periods. Her leadership extends to co-directing SILICON and spearheading NEH-funded projects that redefine digital approaches to manuscript studies. Her academic foundation includes a B.A. in English Language and Literature (First Class Honors) from the University of Manchester (1986), a Master of Archive Administration from the University of Liverpool (1987), and a Ph.D. in English from the University of Manchester (1992). This archival training underpins her dual expertise in traditional manuscript scholarship and digital innovation. Treharne's research pioneers intersections between medieval materiality and contemporary technology, investigating the haptic experience of medieval books, AI applications for manuscript analysis, and the long history of text technologies. She challenges conventional periodization through projects like 'Disrupting Categories, 1050-1250' while developing computational frameworks for fragmentology and textual distortion. Her work consistently bridges paleography with digital methodology to examine how writing systems shape cultural memory. Recent publications reveal a decisive shift from foundational medieval scholarship toward integrative digital-humanities frameworks, with increasing emphasis on phenomenological approaches to both physical and digital texts. This trajectory culminates in current projects applying machine learning to manuscript transmission patterns and developing ethical guidelines for digital archival tools. Her scientific recognition includes: Fellow of the Society of Antiquaries Fellow of the Royal Historical Society Honorary Lifetime Fellow of the English Association (former Chair and President) Fellow of the Learned Society of Wales American Philosophical Society Franklin Fellow Princeton Procter Fellow Fellow of the Stanford Clayman Institute for Gender Studies Treharne actively supervises graduate students in early literature, Book History, and Digital Humanities while securing major grants including NEH funding for Stanford Global Currents, AHRC support for the Production and Use of English Manuscripts project, and Stanford Impact Labs fellowship for archival tool development. She maintains commitment to ethical scholarly environments through her leadership in VPUE initiatives and digital pedagogy. She directs the Stanford Text Technologies initiative hosting the annual Collegium series, co-directs SILICON for internet longevity research, and leads specialized projects including 'Digital Ker' for Anglo-Saxon manuscript cataloging and 'Medieval Networks of Memory' analyzing mortuary rolls. These interconnected efforts form a comprehensive ecosystem for advancing textual scholarship across temporal and technological boundaries.
Anil K. Jain is a University Distinguished Professor at Michigan State University, where he has taught and conducted research for over 50 years. His work focuses on Pattern Recognition , Biometrics , and Machine Learning , with foundational contributions to fingerprint, face, and palmprint recognition. B.S., Indian Institute of Technology, Kanpur (1969) M.S. and Ph.D., The Ohio State University (1970, 1973) in Electrical Engineering His research spans Computer Vision , Deep Learning , and Biometric Security , addressing challenges in adversarial robustness , demographic bias , and generative models . Recent publications emphasize transformer-based architectures , domain adaptation , and contactless biometric systems . Scientific awards include: Inductee, National Academy of Engineering (2016) Inductee, The World Academy of Sciences (2019) BBVA Foundation Frontiers of Knowledge Award (2025) Fellowships: Guggenheim, Humboldt, Fulbright Doctor Honoris Causa: 3 universities He has authored seminal works like Introduction to Biometrics and Handbook of Face Recognition , and served as Editor-in-Chief of IEEE Transactions on Pattern Analysis and Machine Intelligence . His leadership in Forensic Science includes roles on the Defense Science Board and AAAS study teams.
Helmut Leder is a Professor at the University of Vienna, specifically within the Faculty of Psychology's Department of Cognition, Emotion, and Methods in Psychology. He serves as Head of the Vienna Cognitive Science Hub, integrating interdisciplinary approaches to study aesthetic experiences and cognitive processes. His academic profile includes teaching courses in General Psychology, Cognitive Psychology, and Neurosciences, alongside supervising master's and doctoral thesis seminars focused on perception and neuroaesthetics. Key Research Areas : Empirical Aesthetics, Cognitive Psychology, Visual Perception, Cross-Cultural Psychology, Urban Art Impact, Mental Imagery Studies Methodological Focus : Eye-tracking, Machine Learning Analysis, Cross-Cultural Comparisons, Field Experiments, Neuroimaging Recent Contributions : Investigated urban art's role in stress reduction, developed network models of aesthetic experiences, explored non-visual color navigation for the blind, and applied machine learning to art evaluation. His work bridges psychology with cultural studies, examining how aesthetic experiences shape well-being and cognitive processes. Current projects emphasize the neural and behavioral distinctions between real and imagined art encounters, while challenging traditional gender-based perception models.
Professor Isto Huvila is a leading scholar at Uppsala University's Department of ABM (Archives, Libraries, and Museums) within the Faculty of Humanities. His academic profile spans information science, digital humanities, and cultural heritage studies with a distinctive focus on documentation practices and information management across diverse contexts. His research interests encompass: Information and knowledge management Social and participatory information practices Documentation and paradata theory Digital humanities and archaeological information systems Health information and e-health services Open data and research data management Recent scholarly output reveals a strong trajectory toward understanding information practices across multiple domains. A significant portion of his work examines paradata in archaeological contexts through the CAPTURE project, investigating how documentation of data creation processes can enhance research transparency and data reuse. He also conducts extensive research on digital inclusion among older adults and immigrant populations regarding e-health services, analyzing both experiences and expectations of these user groups. Professor Huvila publishes in high-impact journals including Journal of Documentation, Information Research, Journal of the Association for Information Science and Technology, and Journal of Medical Internet Research. His interdisciplinary approach connects information science with archaeology, health informatics, and digital humanities, yielding practical insights for improving documentation standards, research data management, and e-health service design. His 2025 book 'Paradata: Documenting Data Creation, Curation and Use' represents a major contribution to the field, alongside influential review articles like 'Trends in information behavior research, 2016-2022' in the Annual Review of Information Science and Technology. His work bridges theoretical and practical concerns in information science, making substantive contributions to both academic knowledge and real-world applications in cultural heritage institutions and healthcare information systems.
Dr. Ewan Jones is Associate Professor in Nineteenth-Century Literature at the University of Cambridge's Faculty of English and a Fellow at Downing College, where he serves as Director of Studies for Part II. He completed his BA, MPhil, and PhD at King's College, Cambridge, and was previously Thole Research Fellow at Trinity Hall. His educational background includes comprehensive training in English literature at Cambridge, with specialization in nineteenth-century literary studies. His academic journey reflects deep engagement with both traditional literary scholarship and innovative computational approaches to textual analysis. Dr. Jones's research concentrates on poetics, embodied cognition, and computational approaches to intellectual history. His work fundamentally questions how we understand 'close reading' not as interpretation but as a specific cognitive practice. He explores how aesthetic phenomenology can illuminate historical reading communities, develops pedagogical routines to de-habituate standard attention modes, and seeks constructive engagement between computational analysis and traditional reading practices. His scholarship bridges literary studies with cognitive science, demonstrating how rhythm, attention, and cognition intersect in literary form. His research trajectory shows increasing focus on attentional practices in reading, with recent work examining group attention practices and rhythm in Victorian poetry. The computational dimension of his work has grown steadily, moving from individual textual analysis to large-scale corpus studies through projects like the Concept Lab. Fulbright Scholar Leverhulme Research Fellowship (2021/22) on 'Close Reading as Attentional Practice' Residential fellow at the Swedish Collegium of Advanced Study Visiting fellow at Ludwig Maximilian Universität Visiting fellow at Pomona College Dr. Jones supervises doctoral work on diverse topics including 'radical conservatism' in Victorian poetry, queer theory and historical poetics, Wagner reception in Anglophone poetry, morphogenetic conceptions of form, and metre and exact measurement. His interdisciplinary collaborations include work with Phyllis Weliver on digitizing Tennyson manuscripts and with Peter de Bolla on computational concept analysis projects that have secured significant research funding. He has developed innovative teaching approaches that integrate cognitive science with literary analysis. He co-founded and participates in the Concept Lab, an interdisciplinary project developing open-source computational resources for historical dataset analysis. This initiative has fostered collaborations across humanities and computer science disciplines, creating tools that bridge traditional literary scholarship with digital methods. His work with the Princeton Prosody Archive demonstrates his commitment to building scholarly infrastructure for rhythm and meter studies.
Frederick Eberhardt is a Professor of Philosophy at the California Institute of Technology (Caltech) since 2013. He holds a B.S. from the London School of Economics (2002), an M.S. from Carnegie Mellon University (2005), and a Ph.D. from Carnegie Mellon (2007). His research focuses on the intersection of philosophy of science, machine learning, and cognitive science, emphasizing causal discovery from data, experimental methods in causality, and foundational issues in probability and causality. He also explores computational models in psychology and historical work on Hans Reichenbach's philosophy. Recent publications span topics like causal emergence, Reichenbachian probability coordination, and causal mapping in neuroscience. His work bridges formal philosophy with empirical applications in cognitive science and computational methods. Education: B.S., London School of Economics, 2002 M.S., Carnegie Mellon University, 2005 Ph.D., Carnegie Mellon University, 2007 Research interests include formal philosophy of science, causal inference techniques, machine learning applications to causal discovery, and the philosophical underpinnings of probability. His work on causal abstraction and computational models in cognitive science highlights interdisciplinary approaches to understanding causal mechanisms. Recent publications emphasize integrating experimental and observational data for causal discovery, with applications in neuroscience and psychology. Publications reflect a focus on advancing causal reasoning methods, from theoretical frameworks to empirical validation. No scientific awards are explicitly listed in the provided text. Advising and grants details are not available here. Eberhardt is affiliated with Caltech’s Philosophy Department and contributes to theoretical and applied research in causality and its implications across disciplines.
Michael S. Horn is a Professor of Learning Sciences and Computer Science at Northwestern University, serving as Program Coordinator for Learning Sciences. He holds a PhD in Computer Science from Tufts University and a ScB in Computer Science from Brown University. His research focuses on the intersection of human-computer interaction and learning, emphasizing the use of emerging technologies in museums, classrooms, and informal settings. Notable projects include multi-touch tabletops in natural history museums, tangible programming languages for early education, and the TIDAL Lab’s innovative exhibits like Build-a-Tree and DeepTree. Education background includes: PhD in Computer Science (Tufts University, 2009) MS in Computer Science (Tufts University, 2006) ScB in Computer Science (Brown University, 1997) Research interests span tangible interaction design, computational literacy, and museum-based learning. He has led projects such as the ‘Energy Monsters’ board game and the TunePad music-coding platform. His work integrates technology with pedagogical practices to foster collaborative and exploratory learning environments. Active collaborations include the Computer History Museum and the California Academy of Sciences. Advising contributions include mentoring doctoral students like Dr. Mmachi Obiorah and Pei-Yi. His lab, TIDAL, explores interactive technologies for education, with grants from NSF and industry partnerships. Recent articles highlight innovations in computational thinking integration, music-coding hybrid practices, and AI-driven qualitative analysis.
Professor Jean Burgess is a leading scholar in digital media studies, holding positions as Distinguished Professor of Digital Media at Queensland University of Technology (QUT) and Associate Director of the ARC Centre of Excellence for Automated Decision-Making and Society (ADM+S). She is affiliated with the Digital Media Research Centre (DMRC) and School of Communication at QUT. Her work focuses on the social implications of digital platforms, algorithmic culture, and innovative digital methods. Education: PhD (Queensland University of Technology) M.Phil (University of Queensland) B. Arts (Hons) and B. Mus (Hons) (University of Queensland) Research Interests: Burgess explores digital media technologies' societal impacts, platform governance, and algorithmic systems. Her recent work includes studies on GenAI, Instagram's visual culture, and automated decision-making. She co-authored Everyday Data Cultures (2022) and contributes to platforms like The Conversation. Awards: Fellow, Australian Academy of the Humanities Member, ARC College of Experts Recipient of the Vice-Chancellor’s Award for Excellence Grants & Projects: Key projects include the ARC-funded ADM+S Centre, research on Instagram’s machine vision, and studies on algorithmic transparency in advertising. She collaborates with industries like Australia Post and the Australian Centre for the Moving Image. Labs/Teams: Leads the DMRC and ADM+S QUT node, fostering interdisciplinary research on digital media's role in society.
Carlo Rovelli is a Professeur de classe exceptionnelle in the Department of Physics at Aix-Marseille University, holding adjunct roles at Western University's Department of Philosophy and a Distinguished Visiting Research Chair at the Perimeter Institute. He founded the quantum gravity group at the Centre de Physique Théorique (CPT) and is an associate member of the Rotman Institute of Philosophy. His research focuses on loop quantum gravity, relational quantum mechanics, and the history/philosophy of science. He authored influential popular science books including Seven Brief Lessons on Physics (41 languages, 1M+ copies sold) and Helgoland: Making Sense of the Quantum Revolution . Rovelli's work bridges theoretical physics with philosophical inquiry, exploring foundational questions in quantum mechanics, spacetime structure, and the interpretation of physical theories. His recent publications address topics like quantum information theory, gauge symmetries, black hole evaporation, and cosmological implications of quantum gravity.
Professor Will Bateman is a distinguished academic at the Australian National University (ANU) College of Law, where he serves as a Professor and recently completed his term as Associate Dean (Research) from 2021 to 2024. He is also a Chief Investigator for the ANU Grand Challenge project "Humanising Machine Intelligence" and a Fellow at the Gradient Institute, a leading ethical AI research organization based in Sydney. Professor Bateman's educational background is impressive, having earned a PhD and LLM (Hons) from the University of Cambridge and a BA/LLB (Hons) from the Australian National University. Prior to his academic career, he worked in appellate litigation, commercial disputes, and banking as a solicitor at Herbert Smith Freehills, and served as an associate to Justice Stephen Gageler AC of the High Court of Australia and Justice Steven Rares of the Federal Court of Australia. Professor Bateman's research spans two major interdisciplinary domains that sit at the intersection of law with finance and technology. His work on financial regulation focuses on the legal aspects of central banking, sovereign debt markets, digital currencies, and sustainable investing. He has provided expert evidence to the UK Parliament's House of Lords Inquiry into Quantitative Easing, and has collaborated with major financial institutions including the Federal Reserve Bank of New York and the Bank of England. His research on artificial intelligence examines regulatory frameworks for AI in the public sector, with collaborations including the Minderoo Foundation and the Gradient Institute. His recent publications demonstrate a remarkable breadth across legal theory, financial regulation, and AI governance. The articles reveal a consistent theme of examining how traditional legal frameworks adapt to new financial technologies and monetary policy challenges. His work bridges theoretical legal scholarship with practical policy implications, as evidenced by his numerous government consultations and collaborations with central banks worldwide. 2020 Yorke Prize by the University of Cambridge for his work on public finance and constitutionalism Top 10 all-time most downloaded SSRN paper on central banking ("Central Bank Money: Liability, Asset, or Equity of the Nation?") Professor Bateman actively supervises research students, currently mentoring Benjamin Ettinger who is pursuing a PhD on "Legal Method, Cartels and Public Monopolies: A View From the High Court 1908 - 1948." He has secured significant research funding, including projects funded by the Economic and Social Research Council (UK), the German Research Foundation (Deutsche Forschungsgemeinschaft), and The Minderoo Foundation. His "Rebuilding Macroeconomics Initiative: Legal and Economic Conceptions of Money" received £245,000, while the "FA Mann" project was funded with €620,000 (approximately A$1,012,500). He leads the "Humanising Machine Intelligence" project, an ambitious interdisciplinary initiative involving computer scientists, mathematicians, philosophers, sociologists, psychologists, and lawyers aimed at developing democratically legitimate machine intelligence. He also co-led a major project with the University of Western Australia to formulate model legal frameworks for AI regulation in the public sector, funded by The Minderoo Foundation.
