Richard Walsh is Professor in the Department of English and Related Literature at the University of York, where he leads the Interdisciplinary Centre for Narrative Studies and founded the British and Irish Association for Narrative Studies. His research bridges literary theory, cognitive science, and complex systems, examining narrative as a fundamental mode of human cognition. His research focuses on three interconnected domains: The rhetorical theory of fictionality and its cultural manifestations Interdisciplinary approaches to narrative cognition and sensemaking Complexity science applications to narrative structures across media This work extends to innovative fiction, digital narratives, and cross-cultural storytelling. Analysis of Walsh's recent publications reveals strong emphasis on narrative cognition, interdisciplinary methodologies, and emerging topics in AI storytelling. Thematic clusters include: Foundational studies in fictionality and rhetorical frameworks Complexity theory applications to narrative dynamics Interdisciplinary intersections with cognitive science and digital media His scholarly recognition includes the distinguished Institute of Advanced Study Research Fellowship at Durham University (2016) Walsh directs multiple research groups including the Narrative and Complex Systems Group (NarCS) and supervises doctoral projects on narrative theory. He leads collaborative initiatives like the RIDERS project on emergent narrative and the Threshold Worlds project on dream cognition.
Dr. Steven A. Miller is a Professor of Psychology in the Department of Psychology at Rosalind Franklin University of Medicine and Science, within the College of Health Professions. He joined RFUMS in 2013 and serves as a statistics consultant for the university. His academic background includes a PhD in Social Psychology from Loyola University Chicago, an M.S. in Psychology from Illinois State University with specialization in Clinical Psychology, and an M.S. in Mathematics from Loyola University Chicago with specialization in Probability and Statistics. PhD in Social Psychology, Loyola University Chicago M.S. in Psychology, Illinois State University (Clinical Psychology specialization) M.S. in Mathematics, Loyola University Chicago (Probability and Statistics specialization) Dr. Miller's research focuses on the intricate relationship between personality characteristics/individual differences and emotional experiences. He investigates anxiety and emotional disorders, social cognitive models of personality, and applies quantitative methodology to psychological questions. His work examines intra-individual variability in emotional responses and how situational factors interact with personality to shape emotional experiences. He employs diverse methodologies including experience sampling studies and laboratory experiments to explore these complex dynamics. His recent publications demonstrate a strong focus on psychopathy, emotion regulation, network analysis of personality, and the tripartite model of anxiety and depression. His work spans clinical, forensic, and general populations, often employing sophisticated statistical techniques. There's a clear trajectory toward more complex modeling approaches including network analysis, longitudinal modeling, and advanced psychometric techniques across his publication history. Accredited Professional Statistician (PStat®) with the American Statistical Association Chartered Statistician (CStat) with the Royal Statistical Society Dr. Miller actively mentors graduate students, with numerous student co-authors appearing in his publications. He teaches advanced statistical courses including multivariate statistics, longitudinal models, and categorical data analysis. He is currently accepting doctoral students for the 2026/2027 academic year. His collaborative research spans multiple institutions including DePaul University and Texas A&M, focusing on emerging adults, romantic relationships, and chronic illness. His research laboratory examines the fundamental relationship between personality and emotion, exploring how situational contingencies and individual expectancies shape emotional responses. Current collaborative projects investigate daily experiences of emerging adults, psychopathy in romantic relationships, and social media use among individuals with chronic illness using diverse methodological approaches.
Dr. Anas Iftikhar is an International Lecturer (Assistant Professor) in Logistics and Supply Chain Management at Lancaster University's Management School, United Kingdom. He is affiliated with the Centre for Productivity and Efficiency and contributes to the Supply Chain Management department with research focusing on contemporary supply chain challenges. Dr. Iftikhar completed his Ph.D. in Economics, Management, and Quantitative Methods from the University of Salento, Italy in May 2021. During his doctoral studies, he held visiting researcher positions at Ghent University (Belgium) and Cardiff Business School at Cardiff University (UK), gaining valuable international research experience. Prior to his academic career, he accumulated industry experience in inventory planning and operations management. Dr. Iftikhar's research primarily investigates how supply chain capabilities enhance resilience in disruptive and complex environments. His work explores the intersection of supply chain complexity, digital technologies, and resilience strategies. He employs methodological approaches including systematic literature reviews, meta-analysis, and structural equation modeling. His research has significant implications for organizations navigating geopolitical uncertainties, digital transformation, and supply chain disruptions. His publication portfolio demonstrates a clear evolution from foundational work on network trust and ripple effects to more sophisticated examinations of digital transformation's role in supply chain resilience. Recent publications increasingly focus on the synergistic effects of multiple capabilities (network capability, innovation ambidexterity) in addressing complex challenges like geopolitical turmoil. The research trajectory shows a progression from single-factor analyses to more complex, integrated models that better reflect real-world supply chain dynamics. Dr. Iftikhar actively participates in the academic community through presentations at major conferences including the European Operations Management Association (EUROMA) annual conference, IFAC Conference on Manufacturing Modelling, Management & Control, and Industrial Engineering Operations Management (IEOM) society events. He has also delivered invited talks such as 'Contemporary Issues in Logistics Management' at Bukhara State University. As an educator, Dr. Iftikhar is willing to supervise PhD students in supply chain resilience, disruption management, supply chain complexity, and innovative technologies in supply chain management. His industry experience enriches his teaching approach, bridging theoretical concepts with practical applications. His research outputs have been published in leading Operations and Supply Chain Management journals including International Journal of Production Research, Production Planning and Control, Annals of Operations Research, and Journal of Business Research.
Kunihiko Kaneko is a Professor at the Niels Bohr Institute, University of Copenhagen, with a distinguished career in theoretical biophysics and complex systems. He received his PhD and MSc in Physics from the University of Tokyo, and has held leadership roles at the Universal Biology Institute and Center for Complex Systems Biology. PhD Physics, 1984 - University of Tokyo MSc Physics, 1981 - University of Tokyo His research spans five primary areas: Universal Biology, Evolutionary Constraints, Ecosystem Dynamics, Neural Cognition, and Universal Anthropology. He has published extensively on multi-level consistency principles, dimensional reduction in biological systems, and reciprocity between robustness and plasticity across scales. Recent publications show strong focus on microbial ecosystems (2025), evolutionary game theory (2025), neural modular architectures (2024), and dimensional reduction in cellular systems (2024). His work bridges physics and biology through dynamical systems theory applied to diverse phenomena from protocells to human societies.
Julie Yujie Chen is an Assistant Professor at the Institute of Communication, Culture, Information, and Technology (ICCIT) at the University of Toronto Mississauga, with a graduate appointment at the Faculty of Information. She holds a PhD in American Studies from the University of Maryland, College Park, and previously served as a Lecturer at the University of Leicester's School of Media, Communication, and Sociology. Her research focuses on the intersection of culture, digital technologies, and economic structures in shaping work experiences, particularly in China's platform economy. Key areas include ride-hailing and food-delivery sectors, worker resistance in digital capitalism, and the sociocultural impacts of platforms like WeChat. She is the lead author of *Super-sticky WeChat and Chinese Society* (2018), the first academic work analyzing WeChat's societal and political influence. Research interests: Digital labour, platform capitalism, AI-driven work, global labour patterns, and socio-technological change. Current supervision: Hiu-Fung Chung and Mathew Iantorno. Her recent work examines platform labour dynamics, national employment policies in China, and comparative studies of global digital economies. Articles often explore themes like worker agency, algorithmic management, and socio-technical resistance strategies.
Christopher John O'Donnell is a distinguished Professor at the School of Economics, University of Queensland, Australia, where he holds a dual affiliation (50% each) with both the main School of Economics and the Centre for Efficiency and Productivity Analysis (CEPA). His research primarily focuses on efficiency and productivity analysis across various sectors including agriculture, fisheries, public services, and healthcare. As a leading scholar in his field, he has published extensively in top-tier economics and operations research journals and is recognized as being among the top 5% of authors globally according to multiple citation metrics. O'Donnell's research interests span several interconnected domains: efficiency analysis, productivity measurement, agricultural economics, econometrics, state-contingent production frontiers, and metafrontier analysis. His work often bridges theoretical methodology with practical applications, particularly in estimating efficiency and productivity changes under various constraints and uncertainties. He has developed innovative approaches for measuring productivity in public service providers, agricultural sectors, and healthcare institutions, with particular attention to how weather, climate change, and demand uncertainty affect performance metrics. His research output demonstrates consistent productivity, with publications spanning from the 1990s to the present, including significant contributions in the last five years. O'Donnell frequently collaborates with researchers internationally, particularly with scholars from Australia, Europe, and Asia, reflecting the global relevance of his work. His publications appear in leading journals such as the American Journal of Agricultural Economics, Journal of Productivity Analysis, European Journal of Operational Research, and Agricultural and Applied Economics journals. Ranked among top 5% authors by citation metrics (Number of Citations) Ranked among top 5% authors by citation metrics (Number of Citations, Discounted by Citation Age) Ranked among top 5% authors by citation metrics (Number of Citations, Weighted by Number of Authors) Ranked among top 5% authors by citation metrics (Number of Citations, Weighted by Number of Authors, Discounted by Citation Age) Ranked among top 5% authors by citation metrics (Euclidian citation score) O'Donnell has supervised numerous graduate students, as evidenced by his 'Record of graduates' noted in his RePEc profile. His research has been supported by various institutions, particularly focusing on agricultural productivity, public sector efficiency, and resource economics. He has contributed significantly to methodological developments in productivity measurement, including nonparametric approaches and metafrontier frameworks that allow for cross-technology comparisons. As a core member of the Centre for Efficiency and Productivity Analysis (CEPA) at the University of Queensland, O'Donnell contributes to one of the world's leading research centers in efficiency and productivity analysis. His work has practical applications for policymakers in agriculture, fisheries management, healthcare, and public service delivery, helping organizations measure and improve their performance in increasingly complex economic environments.
John Harry Evans is the III Katz Alumni Professor of Accounting at the Department of Accounting, Katz School of Business, University of Pittsburgh. His research focuses on economic perspectives of accounting phenomena, analytical models of incentives, experimental studies in managerial and tax reporting, and empirical investigations of healthcare incentives. He teaches courses in Financial Accounting, Financial Statement Analysis, Managerial Accounting, and Strategic Cost Management. Research spans incentive design, corporate governance, healthcare accounting, and empirical methodologies. Recent publications address CEO turnover, physician compensation, tax reporting ethics, and organizational incentive structures. Awarded multiple honors including the Outstanding Management Accounting Paper Award (2012), Provost Award for Excellence in Mentoring (2011), and multiple Best Paper Awards across journals. Active in professional service as a financial consultant to the Department of Defense and expert witness in legal cases. Designed financial analysis training programs for healthcare managers at University of Pittsburgh Physicians and Highmark Insurance Company.
Dr Marcin Smietana is a Research Fellow at the University of Cambridge , affiliated with the Department of Sociology and the Reproductive Sociology Research Group (ReproSoc) . His work focuses on LGBTQ+ family formation , transnational surrogacy , and reproductive justice , funded by grants including a Marie Curie Fellowship and Wellcome Trust support. He teaches courses on Sociology of Gender , Health and Illness , and MPhil in Health, Medicine & Society . PhD in Sociology (University of Barcelona/AFIN) Postdoctoral work at UC Berkeley and Cambridge His research explores queer resistance to authoritarianism , racial dynamics in ART (assisted reproductive technologies), and reproductive decision-making among gay men. He co-edited the landmark volume Making Families: Transnational Surrogacy, Queer Kinship and Reproductive Justice (2018), which bridges reproductive anthropology with queer theory . Current projects examine queer ecologies and critical animal studies . Key contributions include: Identifying repro-regional moral frameworks in cross-cultural surrogacy studies (USA, India, Russia) Documenting the intersections of race and queer reproduction in international surrogacy markets Deconstructing emotional economies in U.S. commercial surrogacy He supervises dissertations on transnational surrogacy , queer kinship , and species relationships in reproduction , with publications spanning Reproductive BioMedicine & Society Online , Sociological Research Online , and edited volumes. His upcoming book examines gay men’s reproductive decision-making in transnational contexts.
Shaul Pollak is an Assistant Professor at the Division of Microbial Ecology within the Centre for Microbiology and Environmental Systems Science at the University of Vienna. His research focuses on bacterial interactions in ecosystems, particularly their roles in plant pathogen protection and carbon cycling across soil and marine environments. He leads a research group investigating how microbial processes scale from genetic mechanisms to planetary biogeochemical cycles. His primary research interests include microbial community assembly, bacterial metabolism of complex biopolymers, and evolutionary genomics of marine cyanobacteria. Current projects leverage genomic dark matter to predict soil carbon fluxes, examine plant-bacteria interactions under environmental change, and explore the diversity of Prochlorococcus marinus. His interdisciplinary approach integrates genomics, high-throughput experiments, and machine learning to bridge ecological and evolutionary theory. Analysis of his 2022-2025 publications reveals consistent themes in microbial community dynamics, with emphasis on polysaccharide degradation mechanisms, phage-bacteria interactions, and genomic predictors of bacterial metabolic functions. His work demonstrates how bacterial trade-offs and cross-feeding structures shape ecosystem processes from ocean biogeochemistry to human gut microbiome organization. Dr. Pollak actively recruits PhD students and postdoctoral researchers through university stipend programs, with current group members including Thomas Gaehtgens, Gerhard Gruber, Jyothsna Pujar, Qi Qi, Lior Shachar, Marco Sing, and Joana Valèrio. His laboratory maintains active collaborations across soil and marine microbial ecology projects, with research infrastructure supported by University of Vienna resources and external funding.
Prof. Cornelia Bohn is a Professor of General Sociology at the University of Lucerne's Department of Sociology, within the Faculty of Humanities and Social Sciences. She holds a Ph.D. from the University of Bielefeld and a habilitation from the University of Trier. Her career includes roles as Associate and Assistant Professor at several institutions, and she has been a visiting scholar at Toyo University, Stanford, and the University of Chicago. Bohn's research focuses on sociological theory, media theory, monetary systems, and inclusion/exclusion dynamics. She co-edits the journal Soziale Systeme and collaborates with prestigious research networks like NCCR 'Iconic Criticism' and SFB 600 'Strangers and Poor People'. Her work bridges historical and contemporary social analysis, emphasizing visual and monetary systems. Key achievements include a fellowship at the Institute for Advanced Study (University of Constance), editorial leadership, and international research engagements. Her theoretical contributions address autonomy, societal structures, and cultural representation. Current research explores the intersection of art, documentation practices, and modern sociological frameworks.
Fabian J. Sting is a Full Professor and Director of the Department of Supply Chain Management - Strategy and Innovation at the University of Cologne since 2016. He also holds a tenured Associate Professorship in Operations Management at the Rotterdam School of Management, Erasmus University since 2014. His academic journey includes a Ph.D. in Productions Management (summa cum laude) from WHU-Otto Beisheim School of Management in 2008 and postdoctoral work at INSEAD in 2008–2010. University of Cologne : Chair of Supply Chain Strategy and Innovation (2016–present) Rotterdam School of Management : Associate Professor (2014–present), Assistant Professor (2010–2014) Education : Ph.D. (2005–2008), M.Sc. in Applied Mathematics (2005–2007), Diploma in Management Science (2002–2005) Sting’s research bridges operations management, innovation strategy, and supply chain dynamics. Key areas include: Supply chain coordination under uncertainty Employee-driven process innovation and cognitive biases Strategic capacity planning and risk hedging Industry 4.0 implementation challenges Interdisciplinary integration of behavioral and technical elements in operations Recent publications focus on dual sourcing strategies, fairness in operational decisions, and employee mobility’s impact on innovation. He contributes to high-impact journals like Management Science and Production and Operations Management . Sting participates in institutional research initiatives such as: ECONtribute: Markets & Public Policy – a Cluster of Excellence addressing digital transformation, inequality, and market failures through interdisciplinary economics, political science, and law Excellent Research Support Programme (ERSP) – supporting collaborative projects like HPDnet (improving pediatric kidney disease care via health networks)
David Tindall is a Professor in the Department of Sociology at the University of British Columbia's Faculty of Arts. His research examines environmental contention, social movements, and climate change, with a focus on British Columbia and Canada. He investigates the interplay between social networks, movement identification, and participation, covering topics like forestry conflicts, wilderness preservation, and media representation of environmental issues. Research Interests: Tindall's work spans: Environmental movements and activism Social network analysis in conservation contexts Climate change perceptions and justice Gender dimensions of environmentalism Media framing of ecological conflicts His current SSHRC-funded project analyzes sociological aspects of climate change contention in Canada. Publications: Tindall's recent articles (2010-2002) focus on environmental networks, activism dynamics, and forest value conflicts, demonstrating consistent emphasis on social structural analyses of ecological issues in British Columbia. Grants: Holds active funding from the Social Sciences and Humanities Research Council (SSHRC) for research on personal networks and movement participation.
Alireza Keshavarz is an Assistant Professor/Lecturer in Marketing at Maynooth University Business School. He holds a PhD in Management Sciences (Marketing) from HEC, Paris. His research focuses on strategic marketing, salesforce management, and compensation dynamics, particularly examining gender pay gaps and salesforce mobility. He is affiliated with organizations such as AMA, EMAC, CNRS Lab GREG-HEC, and Labex ECODEC. His teaching spans marketing analytics, sales management, and business analytics across undergraduate, graduate, and MBA programs. Education: PhD in Management Sciences (Marketing), HEC Paris Research Interests: Sales Force Management Compensation and Incentives Sales Force Mobility Digital Literacy B2B Marketing Strategic Marketing Ambidexterity Recent Research Trends: Recent work emphasizes the interplay between salesforce structures, organizational strategies, and labor market dynamics, with a focus on gender disparities and incentive systems. Professional Contributions: Member of the Editorial Board for Journal of Business Research Regular presenter at conferences like AMA, EMAC, and INFORMS Labs/Teams: No specific labs or collaborative teams explicitly noted in available data.
E. Geoffrey Love is an Associate Professor of Business Administration at the University of Illinois at Urbana-Champaign, part of the Gies College of Business. He serves as Academic Co-Director of the Hoeft Technology and Management Program and Academic Director of the Carle Executive Education Program. With a PhD in Organizational Behavior from Harvard University (1997) and an AB in Applied Mathematics (1982), Love specializes in organizational innovation, corporate reputation, and institutional change. His research explores how firms navigate social evaluations, strategic innovation, and leadership dynamics. Education: PhD in Organizational Behavior (Harvard, 1997); AB in Applied Mathematics (Harvard, 1982) Positions: Academic Co-Director, Hoeft T&M Program (2024–present); Associate Professor (2016–present); Assistant Professor (2009–2016) Love's research interests span organizational design, leadership, and the impact of CEOs on corporate reputation. His work integrates institutional theory, strategic management, and behavioral insights. Notable studies include the dynamics of corporate reputation following downsizing, CEO succession, and the role of chief innovation officers. His recent articles highlight attention-based strategic leadership and innovation ecosystems across G-20 nations. Awards: Dean’s Impact Award (2022), Excellence in Graduate Teaching Award (2022) Love advises on multi-functional leadership and innovation strategy, emphasizing interdisciplinary education through programs like Hoeft T&M. His grants include funding for 'Attentional Control and Organizational Intelligence' (2024–2026). He teaches courses on strategic innovation, organizational behavior, and entrepreneurial management, leveraging over two decades of academic and industry insights.
Keith J. Holyoak is a Distinguished Professor in the Department of Psychology at the University of California, Los Angeles (UCLA), where he conducts foundational research in cognitive psychology. His work centers on human reasoning, learning, decision making, and problem solving, with a specific focus on the psychological mechanisms of analogy and relational knowledge across diverse domains including law, politics, mathematics, and science. He directs the Reasoning Lab at UCLA, integrating experimental, computational, and neuroimaging approaches to investigate cognitive processes. Education: Ph.D. from Stanford University Research Focus: Holyoak's research program systematically explores how analogy facilitates knowledge transfer and learning, examining the neural underpinnings of complex reasoning with emphasis on prefrontal cortex functions. His work bridges theoretical cognitive science with practical applications, investigating causal learning, deductive processes, and the constraints shaping human inference. Through computational modeling and cross-domain studies, he reveals universal principles governing relational reasoning while addressing domain-specific manifestations in scientific, legal, and social contexts. Publication Trends: His scholarly output demonstrates consistent evolution from foundational work on pragmatic reasoning schemas (1980s) toward integrated models of causal learning and Bayesian inference (2000s-2010s). Recent publications emphasize rational analysis frameworks, cross-species comparisons in causal cognition, and the role of invariance principles in knowledge generalization. The corpus reveals deep methodological pluralism—combining behavioral experiments, computational modeling, and neuroimaging—to address fundamental questions about the architecture of human thought. Research Infrastructure: Holyoak leads the Reasoning Lab (https://reasoninglab.psych.ucla.edu), which maintains a collaborative environment for interdisciplinary research. The lab's infrastructure supports advanced experimental paradigms, computational modeling suites, and neurocognitive investigations, facilitating research on analogical transfer, causal inference, and decision-making under uncertainty across the lifespan.
