IS2019 Book of Abstract

Total Page:16

File Type:pdf, Size:1020Kb

IS2019 Book of Abstract System Applications for Global Challenges Status as of July 15, 2019 Book of Abstract Table of contents Keynote - Plenary ................................................................................................................................................................. p. 7 Keynote - Plenary#2: Biomimicry - A Bioinspired approach to Systems Thinking ....................................................... p. 7 Keynote - Plenary#1: Interdisciplinary Systems Engineering inspired by da Vinci ...................................................... p. 8 Keynote - Plenary#4: The Underway Global Unmanned Systems and Robotics Revolution ...................................... p. 9 Keynote - Plenary#3: To the Stars. The Sky Is No Longer the Limit ...........................................................................p. 10 Paper ....................................................................................................................................................................................p. 11 Paper#23: 12 principles for SE leaders .......................................................................................................................p. 11 Paper#113: A Concept for Set-based Design of Verification Strategies ......................................................................p. 12 Paper#100: A Model-Based V&V Test Strategy Based on Emerging System Modeling Techniques .........................p. 12 Paper#37: A practical study on how proactive quality approach can improve system development process to ens ..p. 13 Paper#47: A Roadmap for Advancing the State of the Practice of Model Based Systems Engineering for Govern ...p. 14 Paper#16: A strategic asset planning decision analysis: An integrated system dynamics and multi-criteria decisio ..p. 15 Paper#21: A Subjective Toolbox for Sociotechnical Systems .....................................................................................p. 16 Paper#17: A System Dynamics Model for Systems Security Engineering Analysis of Internet Service Provider Cu ..p. 16 Paper#50: A3 architecture views – A Project Management tool? ................................................................................p. 17 Paper#50: A3 architecture views – A Project Management tool? ................................................................................p. 18 Paper#35: Addressing Uncertain Requirements ..........................................................................................................p. 19 Paper#76: Agile Systems Engineering Life Cycle Model for Mixed Discipline Engineering ........................................p. 19 Paper#7: Alternatives for Managing Atmospheric Warming ........................................................................................p. 20 Paper#30: An A3AOs Method of Software Tools Integration in the Complex System Development ..........................p. 20 Paper#110: An Approach for Formal Verification of Machine Learning based Complex Systems ..............................p. 21 Paper#87: An Evaluation Ontology Applied to Connected Vehicle Security Assurance ..............................................p. 22 Paper#46: An SSM-TRIZ Methodology for Business Problem Structuring ..................................................................p. 23 Paper#20: Applying and analyzing A3 Architecture Overviews in a complex and dynamic engineering environme ...p. 24 Paper#64: Applying Feature-Based Systems and Software Product Line Engineering in Unclassified and Classifi ...p. 25 Paper#112: Applying Mission-Based Adaptability to Discipline Designs .....................................................................p. 25 Paper#81: Appreciative Methods Applied to the Assessment of Complex Systems ...................................................p. 26 Paper#51: Approach to structure, formalize and map MBSE meta-models and semantic rules. ................................p. 27 Paper#43: Augmenting requirements with models to improve the articulation between system engineering levels ..p. 27 Paper#106: Brownfield Systems Development: Moving from the Vee Model to the N Model for Legacy Systems .....p. 28 Paper#106: Brownfield Systems Development: Moving from the Vee Model to the N Model for Legacy Systems .....p. 28 Paper#90: Can We Use Wisdom-of-the-Crowd to Assess Risk of Systems Engineering Failures? ............................p. 29 Paper#27: Challenges and opportunities in the integration of the Systems Engineering process and the AI/ML Lif ..p. 30 Paper#56: Elevating the meaning of data and operations within the development lifecycle through an interoperab ..p. 31 Paper#60: Eliciting Human Values by Applying Design Thinking Techniques in Systems Engineering ......................p. 32 Paper#77: Emerging Education Challenges for Resilient Cyber Physical Systems ....................................................p. 32 Paper#22: Encoding Technique of Genetic Algorithms for Block Definition Diagram using OMG SysML™ Notatio ..p. 33 Paper#22: Encoding Technique of Genetic Algorithms for Block Definition Diagram using OMG SysML™ Notatio ..p. 34 Paper#9: Evaluation of COTS Hardware Assemblies for use in Risk Averse, Cost Constrained Space-based Syst ..p. 35 Paper#102: Evolution of the Helix Project: From Investigating the Effectiveness of Individual Systems Engineers ..p. 36 Paper#34: Experience from a Program for Accelerating the Creation of T-shaped Technical Leaders ......................p. 37 Paper#6: Exploring the Test and Evaluation Space using Model Based Conceptual Design (MBCD) Techniques ....p. 37 Paper#6: Exploring the Test and Evaluation Space using Model Based Conceptual Design (MBCD) Techniques ....p. 38 Paper#74: Famous Failures Revisited: A Focus on System Integration ......................................................................p. 38 Paper#88: Frenemies: OPM and SysML Together in an MBSE Model .......................................................................p. 39 Paper#59: General Modeling Language for Supporting Model-based Systems Engineering Formalisms (Part 1) .....p. 40 Paper#62: General Modeling Language Supporting Architecture-driven and Code-generation of MBSE (Part 2) .....p. 41 Paper#82: Implementing Augmented Intelligence In Systems Engineering ................................................................p. 42 Paper#97: Implementing systems engineering and project management processes in a Canadian company – Ov ..p. 43 Paper#5: Improving the information transfer between engineering and installation; case study at AS Nymo .............p. 44 Paper#67: Inclusion of human values in the specification of systems: bridging design and systems engineering ......p. 45 Paper#40: INCOSE Handbook V4 to CMMI Development V2.0 mapping ...................................................................p. 46 Paper#39: Information-based Requirement Development & Management .................................................................p. 47 Paper#49: Innovation in the Spirit of Design Thinking .................................................................................................p. 47 Paper#14: Integrating Program/Project Management and Systems Engineering in Practice ......................................p. 48 Paper#24: London Underground Deep Tube Upgrade Programme: System Function Definition Model Case Stud ...p. 48 Paper#99: Managing Complexity with Agility and Openness ......................................................................................p. 49 Paper#99: Managing Complexity with Agility and Openness ......................................................................................p. 50 Paper#41: OMG standard for integrating safety and reliability analysis into MBSE: Concepts and applications ........p. 51 Paper#32: Optimizing the Requirement Engineering Process: A Case Study of I/O List Management in Integrate ...p. 52 Paper#3: Problem Framing: Identifying the Right Models for the Job .........................................................................p. 52 Paper#11: Professional Competencies - The Soft Skills to give Systems Engineers a Hard Edge .............................p. 53 Paper#107: Projects as Interventions in Infrastructure Systems-of-Systems ..............................................................p. 54 Paper#52: Recommended Best Practices based on MBSE Pilot Projects ..................................................................p. 54 Paper#70: Solution Validation and Customer Needs Understanding in the Early Phases of Product Platform Dev ...p. 55 Paper#75: Speaking in Tongues: The Systems Engineering Challenge .....................................................................p. 56 Paper#75: Speaking in Tongues: The Systems Engineering Challenge .....................................................................p. 57 Paper#83: System Theoretic Process Analysis for Layers of System Safety ..............................................................p. 58 Paper#93: Systems engineering and complex systems governance - Lessons for better integration .........................p. 59 Paper#48: Systems Engineering--Software Engineering Interface for Cyber-Physical Systems ................................p. 60 Paper#104: Systems Engineering: Transforming Digital Transformation ....................................................................p. 60 Paper#69: The Drone System II: Availability Performance Analysis and Modeling .....................................................p. 61 Paper#63: The Enduring Path to System Success:
Recommended publications
  • Modelling and Control Methods with Applications to Mechanical Waves
    Digital Comprehensive Summaries of Uppsala Dissertations from the Faculty of Science and Technology 1174 Modelling and Control Methods with Applications to Mechanical Waves HANS NORLANDER ACTA UNIVERSITATIS UPSALIENSIS ISSN 1651-6214 ISBN 978-91-554-9023-2 UPPSALA urn:nbn:se:uu:diva-229793 2014 Dissertation presented at Uppsala University to be publicly examined in room 2446, ITC, Lägerhyddsvägen 2, Uppsala, Friday, 17 October 2014 at 10:15 for the degree of Doctor of Philosophy. The examination will be conducted in English. Faculty examiner: Prof. Jonas Sjöberg (Chalmers). Abstract Norlander, H. 2014. Modelling and Control Methods with Applications to Mechanical Waves. Digital Comprehensive Summaries of Uppsala Dissertations from the Faculty of Science and Technology 1174. 72 pp. Uppsala: Acta Universitatis Upsaliensis. ISBN 978-91-554-9023-2. Models, modelling and control design play important parts in automatic control. The contributions in this thesis concern topics in all three of these concepts. The poles are of fundamental importance when analyzing the behaviour of a system, and pole placement is an intuitive and natural approach for control design. A novel parameterization for state feedback gains for pole placement in the linear multiple input case is presented and analyzed. It is shown that when the open and closed loop poles are disjunct, every state feedback gain can be parameterized. Other properties are also investigated. Hammerstein models have a static non-linearity on the input. A method for exact compensation of such non-linearities, combined with introduction of integral action, is presented. Instead of inversion of the non-linearity the method utilizes differentiation, which in many cases is simpler.
    [Show full text]
  • Design Analysis Method for Multidisciplinary Complex Product Using Sysml
    MATEC Web of Conferences 139, 00014 (2017) DOI: 10.1051/matecconf/201713900014 ICMITE 2017 Design Analysis Method for Multidisciplinary Complex Product using SysML Jihong Liu1,*, Shude Wang1, and Chao Fu1 1 School of Mechanical Engineering and Automation, Beihang University, 100191 Beijing, China Abstract. In the design of multidisciplinary complex products, model-based systems engineering methods are widely used. However, the methodologies only contain only modeling order and simple analysis steps, and lack integrated design analysis methods supporting the whole process. In order to solve the problem, a conceptual design analysis method with integrating modern design methods has been proposed. First, based on the requirement analysis of the quantization matrix, the user’s needs are quantitatively evaluated and translated to system requirements. Then, by the function decomposition of the function knowledge base, the total function is semi-automatically decomposed into the predefined atomic function. The function is matched into predefined structure through the behaviour layer using function-structure mapping based on the interface matching. Finally based on design structure matrix (DSM), the structure reorganization is completed. The process of analysis is implemented with SysML, and illustrated through an aircraft air conditioning system for the system validation. 1 Introduction decomposition and function modeling, function structure mapping and evaluation, and structure reorganization. In the process of complex product design, system The whole process of the analysis method is aimed at engineering is a kind of development methods which providing designers with an effective analysis of ideas covers a wide range of applications across from system and theoretical support to reduce the bad design and requirements analysis, function decomposition to improve design efficiency.
    [Show full text]
  • Understanding the Rational Function Model: Methods and Applications
    UNDERSTANDING THE RATIONAL FUNCTION MODEL: METHODS AND APPLICATIONS Yong Hu, Vincent Tao, Arie Croitoru GeoICT Lab, York University, 4700 Keele Street, Toronto M3J 1P3 - {yhu, tao, ariec}@yorku.ca KEY WORDS: Photogrammetry, Remote Sensing, Sensor Model, High-resolution, Satellite Imagery ABSTRACT: The physical and generalized sensor models are two widely used imaging geometry models in the photogrammetry and remote sensing. Utilizing the rational function model (RFM) to replace physical sensor models in photogrammetric mapping is becoming a standard way for economical and fast mapping from high-resolution images. The RFM is accepted for imagery exploitation since high accuracies have been achieved in all stages of the photogrammetric process just as performed by rigorous sensor models. Thus it is likely to become a passkey in complex sensor modeling. Nowadays, commercial off-the-shelf (COTS) digital photogrammetric workstations have incorporated the RFM and related techniques. Following the increasing number of RFM related publications in recent years, this paper reviews the methods and key applications reported mainly over the past five years, and summarizes the essential progresses and address the future research directions in this field. These methods include the RFM solution, the terrain- independent and terrain-dependent computational scenarios, the direct and indirect RFM refinement methods, the photogrammetric exploitation techniques, and photogrammetric interoperability for cross sensor/platform imagery integration. Finally, several open questions regarding some aspects worth of further study are addressed. 1. INTRODUCTION commercial companies, such as Space Imaging (the first high- resolution satellite imagery vendor), to adopt the RFM scheme A sensor model describes the geometric relationship between in order to deliver the imaging geometry model has also the object space and the image space, or vice visa.
    [Show full text]
  • BCSSS Jahresbericht 2016
    ! ! Bertalanffy*Center*for*the*Study*of*Systems*Science* Paulanergasse!13/5! 1040!Wien! Austria! ! ! Jahresbericht*2016** Ausblick* ! ! ! ! ! ! ! ! ! ! bcsss.org**|** [email protected]* Bertalanffy Center for the Study of Systems Science Rechenschaftsbericht 2016 einschließlich Ausblick A Tätigkeitsbericht 1 Forschung 2 Veranstaltungen und Vernetzung 3 Veröffentlichungen 4 Organisationsentwicklung B Ausblick C Executive Summary D Bilanz www.bcsss.org | [email protected] | ZVR 439685824 Seite 1 von 26 A Tätigkeitsbericht 1 Forschung 1.1 Preise, StipenDien unD Förderung von Nachwuchswissenschaftlerinnen LuDwig von Bertalanffy Young Scientist Award Im Zuge Der Neugestaltung der European Meetings on Cybernetics anD Systems Research, emcsr avantgarde 2016, erscheint auch der LuDwig von Bertalanffy Young Scientist Award seit 2016 in einem neuen Format. Der Preis geht an ForscherInnen aus den Disziplinen Wissenschaft, Technik, Ökonomie, Ökologie, Philosophie, Design unD Kunst mit Dem in Bezug auf Bertalanffy’s Prinzip „Unity through Diversity“ vielversprechenDsten unD aussichtsreichsten Beitrag. Das BCSSS sucht nach Konzepten unD AnwenDungen mit dem Potenzial für die gemeinsame Gestaltung eines prosperierenden Planeten, sinnvoller Technologien unD einer zukunftsfähigen Menschheit. Gewinner Des LuDwig von Bertalanffy Young Scientist Award 2016 war Daniel Dick mit seinem Beitrag „Overcoming Misunderstandings between Cultural and Scientific Systems of Knowledge“. Dick ist MA Absolvent am Institut für Kultur- unD Sozialanthropologie der Universität Wien unD MitbegrünDer Der Akademie für Bewusstseinsforschung. Seine Forschungsarbeit konzentriert sich auf die ThemenfelDer Religion, Philosophy of Science, Ideology, Ritual Studies, Cultural Evolution, Cultural Ecology unD Consciousness Studies. Den 2. Platz erhielt Dr. AlexanDre Strapasson mit seinem Beitrag „Land Use Futures in Europe. How changes in diet, agricultural practices and forestlands could help reduce greenhouse gas emissions“.
    [Show full text]
  • Reliability Block Diagram (Rbd)
    RELIABILITY BLOCK DIAGRAM (RBD) 1. System performance 2. RBD definition 3. Structure function Master ISMP Master ISMP - Castanier 4. Reliability function of a non repairable complex system 5. Reliability metrics for a repairable complex system 59 System performance Problem: Individual definition of the failure modes and components What about the global performance of the « system »? Master ISMP Master ISMP - Castanier 60 Reliability Block Diagram definition Definition A Reliability Block Diagram is a success-oriented graph which illustrates from a logical perspective how the different functional blocks ensure the global mission/function of the system. The structure of the reliability block diagram is mathematically described through structure functions which allow to assess some reliability measures of the (complex) Master ISMP Master ISMP - Castanier system. Function model EThe valve can be closed S and stop the flow SDV1 61 Reliability Block Diagram definition Decomposition of a complex system in functional blocks Component 1 8 9 4 4 2 7 8 10 Master ISMP Master ISMP - Castanier 5 6 3 9 10 Functional block 1 62 Reliability Block Diagram definition The classical architectures « Serie » structure A system which is operating if and only of all of its components are operating is called a serie structure/system. « Parallel » structure A system which is operating if at least one of its components is Master ISMP Master ISMP - Castanier operating is called a parallel structure/system. « oo » structure A system which is operating if at least of its component are operating is called a over structure/system 63 Reliability Block Diagram definition Example Let consider 2 independent safety-related valves V1 and V2 which are physically installed in series.
    [Show full text]
  • A Model-Driven Data-Analysis Architecture Enabling Reuse and Insight in Open Data
    A model-driven data-analysis architecture enabling reuse and insight in open data Robin Hoogervorst July 2018 Master's Thesis Master of Computer Science Specialization Software Technology University of Twente Faculty of Electrical Engineering, Mathematics and Computer Science Supervising committee: dr. Luis Ferreira Pires dr.ir. Maurice van Keulen prof.dr.ir. Arend Rensink Abstract The last years have shown an increase in publicly available data, named open data. Organisations can use open data to enhance data analysis, but tradi- tional data solutions are not suitable for data sources not controlled by the organisation. Hence, each external source needs a specific solution to solve accessing its data, interpreting it and provide possibilities verification. Lack of proper standards and tooling prohibits generalization of these solutions. Structuring metadata allows structure and semantics of these datasets to be described. When this structure is properly designed, these metadata can be used to specify queries in an abstract manner, and translated these to dataset its storage platform. This work uses Model-Driven Engineering to design a metamodel able to represent the structure different open data sets as metadata. In addition, a function metamodel is designed and used to define operations in terms of these metadata. Transformations are defined using these functions to generate executable code, able to execute the required data operations. Other transformations apply the same operations to the metadata model, allowing parallel transformation of metadata and data, keeping them synchronized. The definition of these metamodels, as well as their transformations are used to develop a prototype application framework able to load external datasets and apply operations to the data and metadata simultaneously.
    [Show full text]
  • Integration Definition for Function Modeling (IDEF0)
    NIST U.S. DEPARTMENT OF COMMERCE PUBLICATIONS £ Technology Administration National Institute of Standards and Technology FIPS PUB 183 FEDERAL INFORMATION PROCESSING STANDARDS PUBLICATION INTEGRATION DEFINITION FOR FUNCTION MODELING (IDEFO) » Category: Software Standard SUBCATEGORY: MODELING TECHNIQUES 1993 December 21 183 PUB FIPS JK- 45C .AS A3 //I S3 IS 93 FIPS PUB 183 FEDERAL INFORMATION PROCESSING STANDARDS PUBLICATION INTEGRATION DEFINITION FOR FUNCTION MODELING (IDEFO) Category: Software Standard Subcategory: Modeling Techniques Computer Systems Laboratory National Institute of Standards and Technology Gaithersburg, MD 20899 Issued December 21, 1993 U.S. Department of Commerce Ronald H. Brown, Secretary Technology Administration Mary L. Good, Under Secretary for Technology National Institute of Standards and Technology Arati Prabhakar, Director Foreword The Federal Information Processing Standards Publication Series of the National Institute of Standards and Technology (NIST) is the official publication relating to standards and guidelines adopted and promulgated under the provisions of Section 111 (d) of the Federal Property and Administrative Services Act of 1949 as amended by the Computer Security Act of 1987, Public Law 100-235. These mandates have given the Secretary of Commerce and NIST important responsibilities for improving the utilization and management of computer and related telecommunications systems in the Federal Government. The NIST, through its Computer Systems Laboratory, provides leadership, technical guidance,
    [Show full text]
  • Special Education Session-2
    Special Education Session Discussion on Control Textbooks at Undergraduate and Graduate Levels and Control Resources Publications Thursday, July 1, 2010 5:00 – 6:30 pm Waterfront C/D Refreshments will be served. Organizer and Chair: Bozenna Pasik-Duncan, University of Kansas, Chair of Control Education Committees, and Chair of IFAC Harold Chestnut Control Engineering Prize Selection Committee Sponsored by: AACC, IEEE CSS and IFAC Technical Committees on Control Education This Session will continue an important discussion on control textbooks that was initiated at the 2010 CDC/CCC in Shanghai, China last December. Call for Nominations for the IFAC Harold Chestnut Control Engineering Textbook Prize and Call for Control Resources Publications will be discussed. Harold Chestnut's contributions to control will be presented. Keynote Speaker Harold Chestnut received B.S. (1939) and Stephen Kahne M.S. (1940) degrees in electrical engineering The Story Behind the Harold Chestnut from MIT. He then began a life-long career with the General Electric Company until his Textbook Prize retirement in 1983. Stephen Kahne is an Embry-Riddle He was the first president of the International Aeronautical University Emeritus Professor Federation of Automatic Control (IFAC). He in Prescott, Arizona. He is an IEEE Life chaired the technical board and the Systems Engineering technical committee, served as Fellow, IFAC Fellow, AAAS Fellow, and honorary editor, and was the first advisor member of American MENSA. He was vice appointed for life. Chestnut was involved in president and IFAC president and has held the IEEE since its establishment in 1963 and leading positions in academia, industry, served as president in 1973.
    [Show full text]
  • Functions As Models Chapter Outline
    www.ck12.org CHAPTER 7 Functions as Models Chapter Outline 7.1 REVIEW OF FUNCTIONS 7.2 CHOOSING A FUNCTION MODEL 136 www.ck12.org Chapter 7. Functions as Models 7.1 Review of Functions Learning Objectives • Review the definition and notation for a function. • Understand how functions are a special class of relations. • Recognize that a function can be represented as an ordered pair, an equation or a graph. • Review function families that we will use to model relationships in our data. Definition We start with remembering the definition of a function. A function is a set of ordered pairs in which the first coordinate, usually x, matches with exactly one second coordinate, y. Equations that follow this definition can be written in function notation. The y coordinate represents the dependent variable, meaning the values of this variable depend upon what is substituted for the other variable. A function can be expressed as an equation, as shown below. In the equation, f represents the function name and (x) represents the variable. In this case the parentheses do not mean multiplication; rather, they separate the function name from the independent variable. input # f (x) = y out put |{z} f unction box You may have seen functions represented by a function machine. These emphasize the fact that functions are rules that explain how the input and output are related. For example, the function below triples the value of the input (x) and subtracts 1 from it. If 3 is fed into the machine, 3(3) − 1 = 8 comes out. 137 7.1.
    [Show full text]
  • Systems Development Life Cycle
    Systems Development Life Cycle From Wikipedia, the free encyclopedia Jump to: navigation, search For other uses, see SDLC (disambiguation). Model of the Systems Development Life Cycle with the Maintenance bubble highlighted. The Systems Development Life Cycle (SDLC), or Software Development Life Cycle in systems engineering, information systems and software engineering, is the process of creating or altering systems, and the models and methodologies that people use to develop these systems. The concept generally refers to computer or information systems. In software engineering the SDLC concept underpins many kinds of software development methodologies. These methodologies form the framework for planning and controlling the creation of an information system[1]: the software development process. Contents y 1 Overview y 2 History y 3 Systems development phases o 3.1 Requirements gathering and analysis o 3.2 Design o 3.3 Build or coding o 3.4 Testing o 3.5 Operations and maintenance y 4 Systems development life cycle topics o 4.1 Management and control o 4.2 Work breakdown structured organization o 4.3 Baselines in the SDLC o 4.4 Complementary to SDLC y 5 Strengths and weaknesses y 6 See also y 7 References y 8 Further reading y 9 External links [edit] Overview Systems and Development Life Cycle (SDLC) is a process used by a systems analyst to develop an information system, including requirements, validation, training, and user (stakeholder) ownership. Any SDLC should result in a high quality system that meets or exceeds customer expectations, reaches completion within time and cost estimates, works effectively and efficiently in the current and planned Information Technology infrastructure, and is inexpensive to maintain and cost-effective to enhance.[2] Computer systems are complex and often (especially with the recent rise of Service-Oriented Architecture) link multiple traditional systems potentially supplied by different software vendors.
    [Show full text]
  • Towards a New Foundation for Systems Practice: Grounding Multi-Method Systemic Interventions
    UNIVERSITY OF HULL Towards a New Foundation for Systems Practice: Grounding Multi-Method Systemic Interventions being a Thesis submitted for the Degree of PhD in the University of Hull by Manuel Pretel-Wilson (BBus, BA, MA, MS) May 15, 2017 “The real voyage of discovery consists not in seeking new landscapes, but in having new eyes” Marcel Proust In Memory of Àngel Ros Bosch (1961-2001) For developing my capacity to question And constantly learn about reality I was truly honoured Thank you! Acknowledgements First, I want to thank Gerald Midgley for giving me the opportunity to deliver a seminar at the Centre of Systems Studies in HUBS. I never expected that a random email after having read his great book, Systemic Intervention: Philosophy, Methodology, and Practice (2000), would take me to England, and even less to start a PhD in Systems Science. I’m also grateful because he encouraged me to write a paper that I presented at the ISSS 2014 Conference, in Washington DC, on what I thought at the time was General System Theory (GST) but turned out to be Systems Philosophy, and especially for suggesting me, at a time when I nearly gave up the whole endeavour, a possible route to continue my thesis that turned out to be the right one after all. Indeed, Gerald triggered the crucial turning point that made this PhD worthwhile. Thanks for your precious encouragement; otherwise this thesis would have never seen the light. My thanks go to Angela Espinosa and Joan Walker for having introduced me to the practice of systemic interventions, without which I would never have witnessed the powerful potential of systems methodologies.
    [Show full text]
  • Download Download
    PHILOSOPHICAL CONDITIONS FOR SUSTAINABLE OUTCOMES TO COMPLEX SYSTEMIC INTERVENTIONS David Rousseau PhD 1,2,3,* 1 Centre for Systems Philosophy, Surrey, United Kingdom 2 Centre for Systems Studies, Hull University Business School, Hull, East Yorkshire, UK 3 School of Theology, Religious Studies and Islamic Studies, University of Wales Trinity Saint David, Lampeter, Ceredigion, UK * Email: [email protected] ABSTRACT Consideration of Alexander Laszlo’s inspiring vision for a sustainable thriving eco-civilization shows that it is grounded in three important assumptions. These may seem unremarkable at first sight but an analysis of their implications reveals that they commit us to positions that are deeply problematic in the academy. The systems movement will have to help find ways to resolve these issues as a prerequisite for attaining the presented vision. In my view this can be done, and in my presentation I will show what these problems are and how we might approach helping to resolve them. Alexander Laszlo’s three assumptions are that (1) a sustainable thriving eco-civilization is possible, (2) we can bring it about, and (3) it is important that we bring it about. I will show that these three assumptions confront us with three problems the systems movement has struggled with since its inception: (a) the disunity of knowledge and fragmentation of worldviews, (b) the semantic divergence between different disciplines, and (c) the absence of scientific support for non-constructivist theories about values. In situations characterised by complexity and value conflicts these problems subvert collaborative solution design, impede efficient execution of interventions, and undermine broad adoption of the solution features.
    [Show full text]