DIKW Model Professors and Supervisors

Gaye Stephensمشاهده پروفایل

استادیار

Trinity College DublinIreland

Gaye Stephens serves as Assistant Professor in the School of Computer Science and Statistics at Trinity College Dublin, where she is a core member of the Centre for Health Informatics alongside Dr. Lucy Hederman and Prof. Mary Sharp. She actively contributes to institutional governance as a board member of the Irish Platform for Patient Organisations, Science and Industry (IPPOSI) and serves on the school's research ethics committee. Her research centers on patient-centered health informatics with focus areas including Electronic Health Record design , citizen engagement methodologies (such as Citizen Juries and Think-ins), and scalable information models for healthcare integration. She pioneers approaches that position patients as central stakeholders in health data governance, addressing critical challenges in digital health literacy, informed consent frameworks, and interoperability between legacy and emerging health technologies. Analysis of her recent publications reveals consistent focus on knowledge engineering for healthcare , with particular emphasis on temporal data modeling in knowledge graphs (2024-2025), nurse knowledge elicitation through serious games (2023-2024), and novel methodologies like the WICKED framework for capturing clinical wisdom (2022-2023). Her work consistently bridges technical informatics with human-centered design principles. Stephens actively contributes to national health informatics infrastructure through memberships in: Royal Academy of Medicine of Ireland Council of Clinical Information Officers National Standards Authority of Ireland Health Informatics Group Health Informatics Society of Ireland (including Nursing and Midwifery group) e-Health Ireland ECOSYSTEM working group She supervises across undergraduate, MSc (Health Informatics and Global Health), and PhD programs while leading client-based final year projects. Her teaching portfolio includes Introduction to Health Informatics, Information Modeling, Connected Health, and Electronic Health Record Architectures, with research advising spanning health data governance and patient engagement projects. Stephens co-leads the Knowledge and Data Engineering Group's Health Informatics research stream, focusing on semantic interoperability, adaptive hypermedia systems, and novel engagement models for health data governance. Her current projects emphasize citizen-centered EHR architectures and interdisciplinary approaches to healthcare data integration.

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Barbara S. Lancho Barrantesمشاهده پروفایل

مدرس ارشد

University of BrightonUnited Kingdom

Barbara S. Lancho Barrantes is a Senior Lecturer at the University of Brighton's School of Architecture, Technology and Engineering within the Computing and Mathematical Sciences department. She specializes in bibliometrics, scientometrics, and research analytics, with a focus on citation analysis, sustainable development goals, and research integrity. She holds a PhD in Bibliometrics from the University of Extremadura and has received prestigious awards including the Extraordinary PhD Award (2014) and the Responsible Research and Innovation Award (2022). Education includes a Bachelor's in Information Science (First Class Honours, 2006), a Master's in Digital Information Management (2007), and a PhD in Bibliometrics (2012). She is a Fellow of the Higher Education Academy and has held roles at institutions like the University of Leeds and Tecnologico de Monterrey. Research interests span citation dynamics, SDG mappings, and the impact of economic factors on scientific productivity. She leads the LIS Bibliometrics committee and organizes the annual international conference. Recent work includes exploratory factor analysis of SDG indicators and multilingual research dissemination practices. Key Awards: Extraordinary PhD Award, Responsible Research and Innovation Award Professional Affiliations: Chair of LIS Bibliometrics Committee, External Examiner at University of Wolverhampton Supervision Focus: Bibliometric methodologies, data science integration with research metrics Her articles analyze citation flows, SDG contributions, and questionable publishing threats. She advocates for responsible research metrics through workshops and peer-review activities in journals like Scientometrics and Education for Information .

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Björn Schemberaمشاهده پروفایل

پژوهشگر

University of StuttgartGermany

Björn Schembera is a Researcher at the Institute of Applied Analysis and Numerical Simulation (IANS) at the University of Stuttgart, focusing on Research Data Management (RDM), metadata standards, and ontologies. He holds a Dr.-Ing. (Engineering Doctorate) and a Diplom-Informatik (Computer Science) degree, with interdisciplinary training in philosophy. His current work centers on FAIR principles, knowledge graphs, and dark data in computational and mathematical sciences, particularly within the MaRDI (Mathematical Research Data Initiative) project under NFDI funding. Education and Professional Background: After completing his doctoral studies on dark data in simulations at HLRS (2011–2022), he joined IANS in 2022. His research bridges technical RDM challenges with societal implications of information technology. Research Interests: Schembera’s work emphasizes metadata models (e.g., EngMeta), ontology development for mathematics and engineering, and ethical aspects of data stewardship. He contributes to projects like bwDataArchive and NFDI4Cat, addressing interoperability and standardization in research data infrastructures. Teaching: He leads the course 'Schlüsselqualifikation Forschungsdatenmanagement' since 2023/24, promoting open science and RDM practices. Key Achievements: His 2023 Best Paper Award (MTSR Conference) recognizes contributions to metadata and semantic research. Over 50 publications span journals like Energies, IEEE Transactions, and conference proceedings on metadata, ontologies, and simulation workflows. Projects: He collaborates on MaRDI (mathematical data infrastructure), NFDI4Cat (catalysis sciences), and bwDataArchive (long-term storage).

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Lin Zouمشاهده پروفایل

مدرس

De Montfort UniversityUnited Kingdom

Lin Zou is a Lecturer in Data Analytics at De Montfort University, affiliated with the School of Computer Science and Informatics within the Faculty of Computing, Engineering and Media. He holds a PhD from the University of Leicester and is a Fellow of the Higher Education Academy (FHEA), reflecting his strong commitment to academic excellence in both teaching and research. His educational background includes a Bachelor of Arts and a Doctor of Philosophy (PhD), with his doctoral research focusing on applying creative computing to pragmatic language understanding. Dr. Zou's research lies at the intersection of computer science, linguistics, and cognitive science, with a focus on pragmatic analysis and reasoning in multimodal environments . He leverages the DIKW (Data-Information-Knowledge-Wisdom) model and creative computing techniques to develop frameworks that enhance machine understanding of context and intent. His expertise spans multimodal analysis , natural language processing , and semantic understanding , enabling innovative applications across diverse domains. The recent trends in his publications (2023–2025) reveal a strong interdisciplinary trajectory, applying AI and data analytics to fields such as economics, agriculture, environmental science, tourism, and cultural heritage. His work consistently integrates the DIKW model with creative computing, emphasizing context-aware systems and pragmatic reasoning. The publications span high-quality journals and IEEE conferences, indicating active engagement with the international research community. Scientific Awards and Recognitions: Fellowship of the Higher Education Academy (FHEA) First-Class Honours Degree Professional Affiliations: IEEE Member (2022–present) Dr. Zou is actively involved in teaching and curriculum development, leading modules in data science, databases, and AI. He has not listed any formal advisees or PhD students in the provided text. He has secured intellectual property through several published Chinese patents in augmented analytics and decision systems, reflecting his entrepreneurial background in technology. His research is supported by practical innovation and real-world application, particularly in leveraging data for societal and economic benefit. He is a member of key research groups at DMU, including the Institute of Digital Media, Artificial Intelligence, Responsible Innovation, Ethics and Cyber Security, and the Institute of Arts, Design and Performance, highlighting the interdisciplinary nature of his work.

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Judith Carlisleمشاهده پروفایل

استاد مدعو

Naropa UniversityUnited States

Judith Carlisle, PhD, serves as Adjunct Faculty at Naropa University, teaching in the MA Yoga Studies and Master of Divinity programs where she instructs the course "Power, Privilege, and Diversity." Following a 20-year career as a professor of information systems and computer science, her current academic focus bridges contemplative practices with social justice initiatives and death/dying studies. Her educational background includes: AB in English Literature from Occidental College MS in Management Information Systems from University of Arizona PhD in Management Information Systems from University of Arizona MA in Yoga Studies from Loyola Marymount University Dr. Carlisle's research demonstrates a significant evolution from technical information systems scholarship to contemplative interdisciplinary work. Early career investigations centered on the data-information-knowledge-wisdom (DIKW) hierarchy, computer ethics frameworks, and natural language processing methodologies. Current research examines how yoga traditions and contemplative practices can advance social justice movements and transform societal approaches to mortality. This dual-phase trajectory reflects deep engagement with both technological epistemology and spiritual-existential dimensions of human experience. Publication trends reveal a clear transition from information systems foundations (1990-2010) to contemporary integrations of yoga, AI, and social theory (2011-2019). Early works established theoretical contributions to knowledge management and DIKW philosophy, while recent scholarship like her 2019 DANAM Conference paper explores spatial justice through Hatha Yoga and artificial intelligence applications. This body of work consistently connects technical rigor with humanistic concerns across both career phases. No scientific awards were documented in the source materials. Information regarding graduate student mentorship, research funding, or grant activity was not provided in available records. Similarly, no laboratory affiliations, research teams, or collaborative scientific groups were referenced in the institutional profile.

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