Susan Scott is an Associate Professor in the Information Systems and Innovation Group at the Department of Management of The London School of Economics and Political Science. Her research focuses on the intersection of digital innovation and organizational change, particularly examining how information systems reshape work practices and risk management in financial services, travel, and publishing sectors. Education : PhD in Management Studies (University of Cambridge, 1993-1998), MSc in Analysis, Design and Management of Information Systems (LSE, 1991-1992), BA in History and Politics (SOAS, 1987-1990) Research Interests Digital Innovation Work Practices and Organizational Structuring Organizational Technologies Strategy, Structures, and Information Infrastructures Managing Change Materiality and Practice Research Her recent publications analyze the materiality of digital systems through case studies in book publishing and travel , while historical studies trace the evolution of financial infrastructure like SWIFT . She explores how metadata, software standards, and social media reshape organizational accountability and risk practices. Scientific Awards ICIS Best Paper in Field Award (2007) Nordic Exchange Scholarship (2000-2001) ESRC PhD Scholarship (1993-1996) Best Paper Nominations (Academy of Management, ECIS, ICIS) Selected for European Research Paper of the Year (2014, 2015) Grants and Professional Roles Recipient of grants from SWIFT , British Academy , and HEFCE . She has served on editorial boards of Information and Organization and Organization Science , and co-chaired conferences like IFIP 8.2 and ICIS .
David A. Plaisted is a Research Professor in the Department of Computer Science at the University of North Carolina at Chapel Hill. He joined UNC-Chapel Hill as a full professor after serving on the faculty of the Computer Science Department at the University of Illinois at Urbana-Champaign until 1984. His academic career spans several decades with significant contributions to automated reasoning and computational logic. Bachelor's degree in Mathematics from the University of Chicago (1970) Ph.D. in Computer Science from Stanford University (1976) Professor Plaisted's research focuses on mechanical theorem proving, term rewriting systems, logic programming, and algorithms. His work in term-rewriting systems investigates methods of combining them with first-order theorem provers, including techniques for applying efficient permutation group algorithms to equational theorem proving. In mechanical theorem proving, he has developed a sequence of methods including clause linking with semantics and ordered semantic hyper-linking. His research in logic programming includes developing tests to eliminate the occurrence check in Prolog while maintaining semantics. His work spans theoretical foundations to practical applications in program verification and generation. His recent publications demonstrate continued innovation in automated reasoning, particularly in semantic guidance for theorem proving. His work shows a consistent focus on improving the efficiency and effectiveness of automated deduction systems, with recent contributions to SGGS (Semantically-Guided Goal-Sensitive) theorem proving and analysis of the relationship between semantics and unification in proof systems. Professor Plaisted has served on numerous program committees and editorial boards including the Journal of Symbolic Computation, Information Processing Letters, Mathematical Systems Theory, and Fundamenta Informaticae. He is currently on the editorial board of ACM Transactions on Computational Logic and the electronic Journal of Functional and Logic Programming. He has organized significant conferences including serving as co-chair of the Second International Conference on Rewriting Techniques and Applications in 1987. He has spent several sabbaticals at prestigious institutions including SRI in Menlo Park (1982-1983), the Max-Planck Institute and University of Kaiserslautern in Germany (1993-1994), and research visits to groups in Grenoble and Nancy, France (1998).
Amy C. Edmondson is the Novartis Professor of Leadership and Management at Harvard Business School, holding a chaired position dedicated to human interactions in successful enterprises. She has been consistently ranked among Thinkers50's top management thinkers since 2011, achieving #1 status in 2021 and 2023. Her research focuses on psychological safety, teaming, and organizational learning, with significant contributions to understanding how organizations learn from failure. Key publications include The Fearless Organization (2019) and Right Kind of Wrong (2023), the latter winning the Financial Times and Schroders Best Business Book of the Year award. Her work spans organizational behavior, healthcare management, and innovation science, with articles in top journals like Administrative Science Quarterly and Harvard Business Review . Recent research trends show increasing focus on psychological safety dynamics in constrained environments, cross-boundary teaming, and the science of intelligent failure. Her 15 most recent articles (2021-2025) demonstrate expanding applications from healthcare to general management contexts, with growing emphasis on temporal dimensions of team learning and data-driven decision pitfalls. Major awards include: Thinkers50 #1 Management Thinker (2021, 2023) Thinkers50 Breakthrough Idea Award (2019) Financial Times Best Business Book Award (2023) Accenture Award for California Management Review (2003) Edmondson advises on organizational transformation through numerous Harvard Business School cases, including culture change initiatives at Microsoft, LEGO, and Cleveland Clinic. Her research has secured funding for studies on teaming in pharmaceutical development, smart city projects, and healthcare innovation. Current work examines psychological safety erosion in new hires and cross-boundary team dynamics in complex innovation projects.
Richard Futrell is an Associate Professor at the University of California, Irvine (UCI), affiliated with the Department of Language Science. He leads the Language Processing Group, focusing on computational models of human and machine language processing. His work bridges information theory, Bayesian cognitive modeling, and natural language processing (NLP) interpretability. University of California, Irvine Department of Language Science Language Processing Group leader His research examines how linguistic structures emerge from cognitive and communicative pressures. Key areas include dependency locality, surprisal theory in sentence processing, and efficiency-driven language evolution. He investigates how memory constraints, predictability, and information density shape syntactic and morphological patterns across languages. Recent publications analyze code-switching efficiency, syntactic priming, ERP component modeling, and agent-based language contact simulations. His work frequently employs Bayesian modeling, neural network analysis, and cross-linguistic corpora to uncover universal principles in language processing. ACL Best Paper Award (2024) Best Paper Award for Computational Modeling of Language (2023) Marr Prize for Best Student Paper (2017) He has developed datasets like SPACER for error repair analysis and contributed to phonotactic learning frameworks. His collaborations span cognitive scientists, computational linguists, and neuroscientists, advancing understanding of language production, comprehension, and structural optimization.
Professor Stephan A. Sieber is a leading researcher in bioorganic chemistry at the Technical University of Munich (TUM), where he holds the Chair of Organic Chemistry II within the TUM School of Natural Sciences. His research program focuses on developing new drugs against multidrug-resistant bacteria through a multi-disciplinary approach that integrates synthetic chemistry, functional proteomics, microbiology, and protein biochemistry. His laboratory has made significant contributions to identifying unprecedented antibacterial targets beyond the scope of current antibiotics and exploiting these for chemical manipulation. Recent work has increasingly incorporated machine learning approaches to accelerate antibiotic discovery, with notable publications on AI-guided pipelines, drug-target interaction prediction, and high-throughput screening optimization. Sieber's research has resulted in the discovery of new active substances, some of which are currently being optimized for medical applications. His group's publications reveal a strong focus on chemical proteome mining, natural product mode of action studies, and novel antibacterial target identification. The lab has published extensively in top journals including Nature Chemistry, Nature Communications, and ACS Central Science. Inhoffen Medal (2024) Max Bergmann Medal (2023) ERC Advanced Grant (2023) Merck Future Insight Prize (2020) Klaus Grohe Prize (2020) ERC Consolidator Grant (2016) Professor Sieber leads an active research group that maintains a strong presence in the scientific community through regular publications, conference presentations, and collaborations. His laboratory website and BlueSky presence (@sieberlab.bsky.social) demonstrate ongoing research activities and engagement with the broader scientific community. He has successfully secured significant research funding including multiple ERC grants that have supported his innovative work in antibiotic discovery.
Dr Angus Armstrong is a Professorial Research Fellow at the UCL Institute for Global Prosperity, University College London, directing the ESRC-funded Rebuilding Macroeconomics network that has produced 80+ papers and 100+ public events. His work reinterprets macroeconomics as a knowledge-creation system under fundamental uncertainty. Research focuses on decision-making under uncertainty, collective intelligence, agent-based modelling, and macroeconomic policy within ecological economics, comparative systems, and experimental frameworks. He emphasizes institutions and social interactions as foundations of prosperity in complex adaptive systems. Analysis of 2015-2019 publications reveals concentrated expertise in Brexit fiscal impacts, devolution economics, monetary policy at zero bounds, and Scottish independence. Works integrate macroeconomic modeling with political economy, addressing UK/European policy challenges through institutional and uncertainty-focused lenses. Armstrong serves as Chief Economic Advisor to Lloyds Banking Group (2017) and leads the Rebuilding Macroeconomics network. His 'New Economics of Prosperity' teaching reimagines prosperity as emergent from socio-economic interactions rather than an end state, reflecting his view of economies as open systems defined by fundamental uncertainty.
Sanjeev Kulkarni is the William R. Kenan, Jr. Professor of Electrical and Computer Engineering and Operations Research & Financial Engineering at Princeton University. He is associated with the Department of Philosophy and has held significant administrative roles including Dean of the Graduate School (2014-2017), Director of the Keller Center (2011-2014), and Master of Butler College (2004-2012). His research spans Statistics , Machine Learning , Applied Probability , Information Theory , and Signal Processing , with applications to Wireless Networks , Econometrics , and Control Systems . He has co-authored over 100 publications and supervised numerous PhD and Master’s students.
Mikail Rubinov serves as Assistant Professor of Biomedical Engineering (primary appointment), Computer Science, Psychiatry, and Psychology at Vanderbilt University's School of Engineering. His interdisciplinary work bridges computational neuroscience, network science, and clinical applications. His research focuses on integrative statistical models of large-scale neural data , exploring brain network organization across species and scales. Key interests include evolutionary principles of brain networks, transcriptomic basis of neural individuality, information transfer in neural systems, and neuropsychiatric connectivity phenotypes. The Rubinov Lab develops computational frameworks for analyzing complex neural systems and integrates neuroscientific knowledge with multi-omics data. Recent publications reveal strong trends in network neuroscience methodology development (circular analysis frameworks, unbiased sampling techniques) and translational applications (epilepsy networks, autism spectrum connectomics, gut-brain axis interrogation). His work increasingly incorporates transcriptomic data with neuroimaging at biobank scale. NIH Grant Writing Workshop (June 2022) NIH Workshop Short Talks (April 2023) Rubinov actively mentors graduate and undergraduate students across Biomedical Engineering and Computer Science. His lab maintains collaborations with UCSF, HHMI Janelia Research Campus, Weizmann Institute, and international neuroscience consortia. Current projects include integrative models of large-scale neural data and transcriptomic basis of neural individuality. The Rubinov Lab operates within Vanderbilt's Department of Biomedical Engineering with extensive cross-school collaborations. Technical resources include GitHub repositories for constraint network models (cnm-code), volumetric segmentation (voluseg), and brain connectivity toolboxes.
Elena Barbieri is a Research Assistant Professor in the Department of Physical Medicine and Rehabilitation at Northwestern University's Feinberg School of Medicine, with dual affiliation at the Mesulam Center for Cognitive Neurology and Alzheimer's Disease. Her interdisciplinary work bridges cognitive neuroscience, clinical neuropsychology, and rehabilitation medicine. Her educational trajectory includes: BS in Cognitive Science from University of Milano-Bicocca (2005) MS in Cognitive Neuroscience from University of Milano-Bicocca (2007) PhD in Cognitive Neuroscience from University of Milano-Bicocca (2012) Postgraduate Training Fellow in Clinical Neuropsychology at Northwestern University (2014) Postdoctoral Fellow in Communication Sciences and Disorders at Northwestern University (2017) Dr. Barbieri's research centers on language-brain relationships with primary focus on aphasia mechanisms and rehabilitation. She investigates both stroke-induced aphasia and Primary Progressive Aphasia (PPA), employing multimodal neuroimaging (structural/functional MRI, PET), electrophysiology (ERP), and noninvasive brain stimulation. Her work examines neural reorganization during recovery, cross-linguistic language processing patterns, and development of culturally adapted assessment tools like the Northwestern Assessment of Verbs and Sentences (NAVS) across Italian, Persian, and German populations. Current projects address TDP-43 pathology progression, virtual reality interventions, and neural mechanisms of syntactic processing in neurodegenerative conditions. Analysis of her 2021-2025 publications reveals strong emphasis on PPA neurobiology, cross-linguistic aphasia rehabilitation, and neural plasticity. Key trends include development of international consensus outcome measures (COS-PPA), investigation of disease-specific progression patterns (TDP-43 pathology), and innovative virtual interventions for dementia-related communication disorders. Her work consistently integrates clinical assessment with advanced neuroimaging to map language network reorganization. Her research excellence is recognized through: Karen Toffler Scholarship for neurodegenerative disease research (2023) Cognitive Neuroscience Society Postdoctoral Fellow Award (2018) Society for Neurobiology of Language Travel Award (2016) Dr. Barbieri serves as Associate Editor for Frontiers in Language Science and maintains active roles in ISTAART and the Academy of Aphasia. Her Mesulam Center affiliation enables collaborative research on cognitive-linguistic deficits in Alzheimer's disease and frontotemporal dementia, with particular focus on developing targeted language interventions for progressive neurodegenerative conditions.
Paul D. Brooks is a Professor in the Department of Geology/Geophysics at the University of Utah, where he has been a faculty member since July 2014. His research focuses on understanding water, energy, and biogeochemical cycling in seasonally snow-covered catchments, with increasing emphasis on predicting how climate and land use changes impact snow accumulation, ablation, and snowmelt-derived surface and ground water resources. His educational background includes a BS in Biology and Chemistry from Florida State University, followed by an MS in Ecohydrology (1991) and PhD in Biogeochemistry (1995), both from the University of Colorado, Boulder. Prior to his position at the University of Utah, Dr. Brooks was a Professor in the Department of Hydrology and Water Resources at the University of Arizona from December 2000 to June 2014. Dr. Brooks' research spans multiple disciplines within earth sciences, focusing primarily on hydrology, ecohydrology, and biogeochemical cycling in mountainous, snow-dominated environments. His work examines how climate change affects snowmelt processes, groundwater-surface water interactions, and water resource availability in the western United States. He employs a combination of field measurements, isotope hydrology, and modeling approaches to understand complex hydrological processes across multiple spatial and temporal scales. His research increasingly involves collaboration with stakeholders to translate scientific findings into practical water resource management applications. Analysis of Dr. Brooks' recent publications reveals a strong focus on groundwater-surface water interactions in snowmelt-dominated systems, with particular attention to how climate change affects streamflow generation processes. His work bridges fundamental hydrological science with practical water resource concerns, examining topics such as runoff efficiency, groundwater storage dynamics, and the impacts of land cover changes on hydrological processes. A significant portion of his recent research investigates the Western United States water resources under changing climate conditions. AGU Fellow (American Geophysical Union) Dr. Brooks actively mentors graduate students through thesis research (both PhD and Master's level) as evidenced by his teaching activities. His lab conducts research supported by various grants focused on understanding water resources in mountainous regions, particularly examining how climate change affects snowmelt hydrology and water availability. He collaborates extensively with researchers across multiple institutions, as demonstrated by his numerous co-authored publications with scientists from various universities and research organizations. Dr. Brooks leads research efforts through his lab at the University of Utah and is involved with the Wasatch Environmental Observatory, a mountain-to-urban research network in the semi-arid Western US. His work integrates field measurements across complex terrain to understand how topography, vegetation, and climate interact to control water, energy, and biogeochemical cycling in seasonally snow-covered environments.
Maria Leonilde Rocha Varela is an Associate Professor with Habilitation at the School of Engineering, University of Minho, Portugal, where she also serves as a Senior Researcher at the Algoritmi Research Centre. She has been an integrated member of the Algoritmi Research Centre since 2012 and works in the Department of Production and Systems. Dr. Varela earned her degree in Production Engineering from the University of Minho in 1994, completed a Master's in Computer Integrated Production at DPS-UMinho in 1999, and received her Ph.D. in Production and Systems from the University of Minho in 2007. Her primary research focuses on Manufacturing Management, particularly Production Planning, Control and Optimization, and Collaborative Paradigms, Networks and Decision Making Models. She maintains extensive international collaborations with institutions worldwide including the National Institute of Industrial Engineering, VSB-Technick Univerzita Ostrava, University of Belgrade, and others. Her research spans Web Applications and Services for supporting Engineering and Production Management, with increasing emphasis on Artificial Intelligence, Robotic Process Automation, and Industry 4.0/5.0 applications. She has made significant contributions to scheduling algorithms, optimization techniques, and decision support systems for manufacturing environments. Analysis of her recent publications reveals a strong trend toward integrating Artificial Intelligence with traditional manufacturing processes, particularly in Robotic Process Automation applications. Her research increasingly focuses on sustainable manufacturing practices, with numerous publications addressing energy efficiency, environmental sustainability, and resource optimization. There is a clear emphasis on multi-objective optimization approaches to solve complex manufacturing problems, particularly in distributed job shop scheduling. Her work demonstrates an evolution from traditional production planning methods to more advanced AI-driven approaches for Industry 4.0 and 5.0 environments. Dr. Varela has held significant academic leadership roles, currently serving as the director of the master's course in Engineering and Quality Management at DPS-UMinho. She previously coordinated the industrial management and systems subgroup from 2012 to 2021 and was part of the steering committee for the master's course in systems engineering between 2016 and 2019. She has successfully supervised more than 70 MSc projects, with over 15 currently ongoing, focusing on Production and Systems Engineering. Her supervision encompasses collaborative management models, traditional decision approaches, and web-based platforms incorporating AI techniques. She coordinates research projects including 2 concluded Ph.D. projects and 6 ongoing ones. She collaborates as a research member in several R&D projects with national and international industrial enterprises and institutions, and in international Erasmus projects. Dr. Varela is an active participant in the academic community, serving on editorial boards of several international journals and as a member of organizing and scientific committees for numerous international conferences. She is a member of several prestigious research networks including the Euro Working Group of Decision Support Systems (EWG-DSS), Institute of Electrical and Electronics Engineers (IEEE), Industrial Engineering Network, and the Institute of Industrial and Systems Engineers (IISE).
Mathias Benedek is an Associate Professor at the Institute of Psychology, Faculty of Natural Sciences, University of Graz, Austria. He directs the Creative Cognition Lab and is actively involved in several research networks, including the "Complexity of Life" profile area, the "Brain and Behavior" research network, and the "FUTURE EDUCATION" research network at the University of Graz. His research focuses on the cognitive and neural mechanisms underlying creative thinking, with particular emphasis on the role of memory processes, metacognition, and eye movement patterns during creative ideation. Dr. Benedek's work bridges psychological theory with empirical research methods including eye tracking, neuroimaging, and computational modeling of creative processes. His research has important implications for understanding how creative potential develops and how it can be assessed and nurtured in educational and professional contexts. Dr. Benedek's publication record demonstrates a consistent focus on creative cognition across multiple dimensions. His recent work has expanded into emerging areas such as human-AI collaboration for creative tasks, automated assessment of creativity using large language models, and the relationship between physical activity and creative performance. His research shows a strong trajectory toward more ecologically valid methods for studying creativity in real-world contexts, moving beyond traditional laboratory paradigms. Seraphine Puchleitner Anerkennungspreis (PhD Supervision Award), University of Graz, 2021 William-Stern-Preis, German Psychological Society, 2019 Research Prize, University of Graz, 2017 Research Prize (Publication Category), Initiative Gehirnforschung, 2016 Berlyne Award, Division 10, American Psychological Association, 2015 Dr. Benedek has demonstrated strong commitment to mentoring the next generation of researchers, as evidenced by his 2021 PhD Supervision Award. His research has been supported by multiple grants from national and international funding bodies, though specific grant details are not provided in the available information. His professional service includes leadership roles in the Initiative Gehirnforschung Steiermark since 2010 and active membership in several psychological societies across Europe and North America. Dr. Benedek leads the Creative Cognition Lab at the University of Graz, which employs a multidisciplinary approach to studying creative processes. The lab integrates methods from cognitive psychology, neuroscience, and computational modeling to investigate the mechanisms underlying creative thought. Current research projects examine the relationship between eye movements and internal cognitive processes, the development of automated assessment tools for creativity, and the application of creativity research to educational contexts.
Matthew Pelowski is an Associate Professor at the University of Vienna , affiliated with the Faculty of Psychology and the Institute for Psychology of Cognition, Emotion and Methods . He is a key member of the Cognitive Science Research Network . PhD in Information Science, Nagoya University (2011) MSc in Information Science, Nagoya University (2007) BFA in Studio Art (Oil Painting), University of Nebraska-Lincoln (2002) BJ in Advertising, University of Nebraska-Lincoln (2002) Pelowski's research bridges neuroaesthetics and cognitive neuroscience , focusing on how art impacts well-being , empathy , and social development . His work employs advanced neuroimaging techniques like fNIRS and hyperscanning to study interpersonal brain dynamics during art appreciation, while also exploring the relationship between artistic creativity and neurodegenerative diseases . Pelowski's recent publications reveal a strong focus on art's therapeutic potential , cross-cultural aesthetic differences , and temporal dynamics in art evaluation . His work has been recognized with prestigious awards including the APA Berlyne Award and the Alexander Gottlieb Baumgarten Award . American Psychological Association (APA) Berlyne Award (2020) Alexander Gottlieb Baumgarten Award (2016) Association of Media & Publishing Excel Awards Bronze Prize (2021) As Consortium Leader for projects like ARTIS (Horizon2020) and Unlocking the Muse (FWF), Pelowski drives transdisciplinary research connecting art with societal challenges and neurodegenerative disease studies . His work has been featured in over 30 media reports, demonstrating significant public engagement and societal impact.
Edgar Weippl is a Professor at the Faculty of Computer Science, University of Vienna, where he serves as Vice Dean and Head of the Research Group Security and Privacy. His work spans cybersecurity, blockchain, and machine learning, with teaching roles in information security and software security courses. Current Positions: Vice Dean (Faculty of Computer Science), Head (Security and Privacy Research Group), Deputy Head (Neuroinformatics & Knowledge Engineering Groups) Research Interests: Cybersecurity, blockchain, IoT security, code obfuscation, privacy technologies, reinforcement learning, and socio-technical systems security Selected Publications: Focus on blockchain privacy, VoWiFi security, code obfuscation, and reinforcement learning applications
Jan Bill is Professor of Viking Age Archaeology at the University of Oslo's Department of Archaeology and curator of the Viking Ship Collection at the Museum of Cultural History since 2007. His academic trajectory includes leadership roles at the Viking Ship Museum in Roskilde (2003-2007) and the Centre for Maritime Archaeology at Denmark's National Museum (1997-2003), where he progressed from PhD researcher to deputy director. His research centers on Viking Age and medieval archaeology, specializing in seafaring, burial practices, and scientific methodologies. Key investigations focus on Norwegian ship burials (Oseberg, Gokstad) to decode power representation through funerary rituals, and seafaring's role in societal complexity. His interdisciplinary approach integrates archaeology with genetics, geochemistry, and digital humanities. Recent publications reveal dominant trends in Viking Age genomics, ship burial reinterpretation, and geoarchaeological analysis of settlements. Major themes include population migrations, ancient pathogens, trade networks, and landscape reconstruction, often through large-scale collaborations like the Population Genomics of the Vikings project. Scientific recognition includes: Aage Rothenborgs Endowment (2017) for contributions to early medieval Scandinavian maritime culture Bill currently supervises two PhD candidates and leads significant grants including the Gokstad revitalised research project, Saving Oseberg Project, and Gjellestad excavation. His grant portfolio emphasizes interdisciplinary Viking Age studies combining archaeology with DNA analysis and geophysical surveying. He directs the Centre for Viking-Age Studies (ViS) and contributes to INTER-Action research group. Critical institutional work involves developing the new Museum of the Viking Age and steering major conservation initiatives like the ADED project for archaeological digital documentation.
