{"title":"Framing Supradisciplinary Research for Intellectualized Cyber-Physical Systems: An Unfinished Story","authors":"I. Horváth","doi":"10.1115/1.4062327","DOIUrl":null,"url":null,"abstract":"\n Conceptualization and design of intellectualized, socialized, and personalized cyber-physical systems (CPSs) needs exploration and synthesis of novel knowledge. In turn, it raises the need for a combined use of interdisciplinary, multidisciplinary, and transdisciplinary research. Supradisciplinary research emerged as a new doctrine of combining these research approaches from epistemological, methodological, and procedural perspective. However, no methodology can be found in the literature that could facilitate the practical execution of supradisciplinary research programs and projects. This position paper proposes a conceptual framework that can be used as a blueprint of operationalization of such undertakings. The framework rests on six generic pillars: (i) problematics, (ii) infrastructure, (iii) methodics, (iv) stakeholders, (v) operations, and (vi) knowledge.The framework arranges the concerns in a procedural logic - as they should be considered by the research managers and cyber-physical system developers. In its current form, the framework does not cover the specific societal and personal issues of a successful organization of the inquiry at individual researchers, research teams, and research community levels. Notwithstanding, the framework can facilitate management of research organization tasks, joint formation of shared research infrastructure, setting up concrete research programs, projects, and processes, academic partnering and public stakeholder involvement, process flow management and capacity/competence allocation, and knowledge synthesis, assessment, and consolidation in a holistic manner. Follow up community-based research may focus on the practical application and testing of the framework in concrete cases – a task that an individual researcher cannot address.","PeriodicalId":54856,"journal":{"name":"Journal of Computing and Information Science in Engineering","volume":"191 1","pages":""},"PeriodicalIF":2.6000,"publicationDate":"2023-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Computing and Information Science in Engineering","FirstCategoryId":"5","ListUrlMain":"https://doi.org/10.1115/1.4062327","RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS","Score":null,"Total":0}
引用次数: 1
Abstract
Conceptualization and design of intellectualized, socialized, and personalized cyber-physical systems (CPSs) needs exploration and synthesis of novel knowledge. In turn, it raises the need for a combined use of interdisciplinary, multidisciplinary, and transdisciplinary research. Supradisciplinary research emerged as a new doctrine of combining these research approaches from epistemological, methodological, and procedural perspective. However, no methodology can be found in the literature that could facilitate the practical execution of supradisciplinary research programs and projects. This position paper proposes a conceptual framework that can be used as a blueprint of operationalization of such undertakings. The framework rests on six generic pillars: (i) problematics, (ii) infrastructure, (iii) methodics, (iv) stakeholders, (v) operations, and (vi) knowledge.The framework arranges the concerns in a procedural logic - as they should be considered by the research managers and cyber-physical system developers. In its current form, the framework does not cover the specific societal and personal issues of a successful organization of the inquiry at individual researchers, research teams, and research community levels. Notwithstanding, the framework can facilitate management of research organization tasks, joint formation of shared research infrastructure, setting up concrete research programs, projects, and processes, academic partnering and public stakeholder involvement, process flow management and capacity/competence allocation, and knowledge synthesis, assessment, and consolidation in a holistic manner. Follow up community-based research may focus on the practical application and testing of the framework in concrete cases – a task that an individual researcher cannot address.
期刊介绍:
The ASME Journal of Computing and Information Science in Engineering (JCISE) publishes articles related to Algorithms, Computational Methods, Computing Infrastructure, Computer-Interpretable Representations, Human-Computer Interfaces, Information Science, and/or System Architectures that aim to improve some aspect of product and system lifecycle (e.g., design, manufacturing, operation, maintenance, disposal, recycling etc.). Applications considered in JCISE manuscripts should be relevant to the mechanical engineering discipline. Papers can be focused on fundamental research leading to new methods, or adaptation of existing methods for new applications.
Scope: Advanced Computing Infrastructure; Artificial Intelligence; Big Data and Analytics; Collaborative Design; Computer Aided Design; Computer Aided Engineering; Computer Aided Manufacturing; Computational Foundations for Additive Manufacturing; Computational Foundations for Engineering Optimization; Computational Geometry; Computational Metrology; Computational Synthesis; Conceptual Design; Cybermanufacturing; Cyber Physical Security for Factories; Cyber Physical System Design and Operation; Data-Driven Engineering Applications; Engineering Informatics; Geometric Reasoning; GPU Computing for Design and Manufacturing; Human Computer Interfaces/Interactions; Industrial Internet of Things; Knowledge Engineering; Information Management; Inverse Methods for Engineering Applications; Machine Learning for Engineering Applications; Manufacturing Planning; Manufacturing Automation; Model-based Systems Engineering; Multiphysics Modeling and Simulation; Multiscale Modeling and Simulation; Multidisciplinary Optimization; Physics-Based Simulations; Process Modeling for Engineering Applications; Qualification, Verification and Validation of Computational Models; Symbolic Computing for Engineering Applications; Tolerance Modeling; Topology and Shape Optimization; Virtual and Augmented Reality Environments; Virtual Prototyping