A Conceptual Framework for Complex Systems at the Crossroads of Food, Environment, Health, and Innovation
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Re-Examining the Implications of Systems Thinking for Evaluation
RE-EXAMINING THE IMPLICATIONS OF SYSTEMS THINKING FOR EVALUATION BY EMILY F. GATES DISSERTATION Submitted in partial fulfillment of the requirements for the degree of Doctor of Philosophy in Educational Psychology in the Graduate College of the University of Illinois at Urbana-Champaign, 2016 Urbana, Illinois Doctoral Committee: Professor Jennifer C. Greene, Chair Professor Thomas A. Schwandt, Director of Research Professor Lizanne DeStefano Professor Martin Reynolds, Open University ABSTRACT Over the last twenty years, many prominent evaluators have been borrowing and using ideas, theories, and methods from the systems and complexity fields with little research on the implications of this trend for the evaluation field. This thesis examines this borrowing to identify over-arching implications for evaluation theory and practice. The first paper reviews inter- disciplinary literature on systems thinking and complexity science with regards to evaluating social policies and programs and identifies major implications for how evaluators theorize evaluation practice. The second paper reports on an analysis of eight cases of evaluation practice that use systems and complexity ideas and techniques and presents findings regarding how evaluators conceive of and practice evaluation. The third paper advances an argument for how evaluators can use critical systems heuristics to surface, reflect on, and make explicit the values that influence and should influence an evaluation. Collectively, these papers support the potential of borrowing from the systems and complexity fields to expand on and re-define evaluation theory and practice. ii ACKNOWLEDGMENTS This dissertation would not have been possible without the mentorship of Dr. Thomas Schwandt and Dr. Jennifer Greene. I am thankful to Tom for overseeing this dissertation, sharing his wisdom, providing generous editorial comments, and continuously challenging and expanding my thinking. -
AFRI and NIWQP Project Directors Meeting
AFRI and NIWQP Project Directors Meeting Washington, D.C October 12-13, 2016 United States Department of Agriculture National Institute of Food and Agriculture National Institute of Food and Agriculture Agriculture and Food Research Initiative/National Integrated Water Quality AFRI and NIWQP Annual Project Directors Meeting United State Department of Agriculture National Institute of Food and Agriculture Washington D.C 20024 Welcome to the 2016 AFRI/NIWQP Annual Project Directors Meeting The USDA National Institute of Food and Agriculture (NIFA) welcomes you to the FY 2016 USDA- NIFA AFRI and NIWQP Annual Project Directors’ Meeting. The meeting brings together project directors, co- project directors, graduate students and collaborators from the National Integrated Water Quality Program (NIWQP, FY 2010-2014), the Agricultural and Food Research Initiative (AFRI), Water for Agriculture Challenge Area (FY 2014,-2015), AFRI Foundational RENRE (FY 2011- 2013) program and AFRI Foundational BENRE (FY2014 - FY2015). The purpose of the meeting is for NIFA staff to interact with awardees and learn more about the success of their projects, identify outcomes and learn about current research needs. It will also provide the opportunity for awardees to get the most recent updates on program priorities and new programs. This year we have added additional breakout sessions for more interaction and networking opportunity. We expect that the interaction among awardees will provide the opportunity for collaboration that will help in the development of future NIFA awards. We hope that everyone who attends will be enriched and impressed by the exciting science, innovation and productivity of your fellow awardees. Thank you for coming! Sincerely, James (Jim) Dobrowolski Nancy Cavallaro Dewell Paez Nat’l Program Leader Nat’l Program Leader Program Specialist 202 -401-5016 202-401-5176 202-401-4141 [email protected] [email protected] [email protected] AGENDA Wednesday, October 12, 2016 7:00 a.m. -
An Overview of the Soft Systems Methodology Stuart Burge
System Thinking: Approaches and Methodologies An Overview of the Soft Systems Methodology Stuart Burge The Soft Systems Methodology (SSM) was born out of research conducted at Lancaster University to apply Systems Engineering approaches to solve “management/business problems”. In other words they attempted to apply a Hard Systems approach to fix business problems. What they discovered was the approach often stumbled at the first step of problem definition. This happens quite simply because the different stakeholders have divergent views on what constitutes the system, the purpose of the system and therefore the problem. Two key players in the development of the SSM are Peter Checkland [1999] and Brian Wilson [2001] who through “action research” were able to put together a practical and pragmatic approach to the identification and solution of “soft” ill-defined problems. This methodology was more than just a process; Checkland and Wilson also developed a set of tools to help users carry out the steps. These include: • Rich Picture • Conceptual Model • CATWOE • Formal Systems Model More on these later because, at this point, I would like to focus on the approach. Figure 1 presents a view of the SSM. Since its origin back in 1970’s and 80’s it has changed as various workers have added their bit. Figure 1 shows a 7-step process approach to SSM. I have chosen this view, that while it is an early representation, it does allow several key and important aspects of SSM to be made clear. Figure 1: The 7 Step Soft Systems Methodology © Burge Hughes Walsh 2015 page 1 System Thinking: Approaches and Methodologies Before launching into detail about the 7-steps it is worthwhile explaining the overall philosophy behind SSM. -
Hard Or Soft Environmental Systems?
HARD OR SOFT ENVIRONMENTAL SYSTEMS? M.B . Beck International Institute for Applied Systems Analysis, Austria RR-81-4 March 1981 Reprinted from Ecological Modelling, volume 11 (1981) INTERNATIONAL INSTITUTE FOR APPLIED SYSTEMS ANALYSIS Laxenburg, Austria Research Reports, which record research conducted at IIASA, are independently reviewed before publication. However, the views and opinions they express are not necessarily those of the Institute or the National Member Organizations that support it. Reprinted with permission from Ecological Modelling 11 :233 - 251 , 1981 Copyright© 1981 Elsevier Scientific Publishing Company All rights reserved. No part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage or retrieval system, without permission in writing from the copyright holder. iii FOREWORD In recent years there has been considerable interest in developing models for river and lake ecological systems, much of it directed toward large and complex simulation models. However, this trend gives rise to concern on several important counts. In particular, relatively little attention has been given to the problems of uncertainty and errors in field data, of inadequate amounts of field data, and of uncertainty about parameter estimates and the relations between important variables. The work of the International Institute for Applied Systems Analysis (IIASA) on environmental quality control and management is addressing problems such as these, and one of the principal themes of the work is to develop a framework for modeling poorly defined environmental systems. This paper discusses, in qualitative terms, the preliminary outlines of such a frame work. -
Solin JSE February 2017 General
Journal of Sustainability Education Vol. 12, February 2017 ISSN: 2151-7452 Book Review of Systems Thinking Made Simple: New Hope for Solving Wicked Problems Jeremy Solin (University of Wisconsin-Extension, ThinkWater) [email protected] Abstract: In this book review the author summarized the text, Systems thinking made simple: New hope for solving wicked problems by Derek and Laura Cabrera (2015). In the text, cognitive thought is described as a complex adaptive system and four simple rules of thinking are included as an approach to problem solving. Keywords: cognition, complex adaptive systems, sustainability education, systems thinking, thinking Dr. Jeremy Solin is the Wisconsin Coordinator and National Program Manager of ThinkWater, a national campaign supported by USDA to help people of all backgrounds and ages think and care deeply about water. He’s worked in the environmental and sustainability education fields for the past 20 years. Book Review of Systems Thinking Made Simple: New Hope for Solving Wicked Problems As an educator for the past 20 years, I would have told you that systems thinking was at the core of my approach to teaching – helping people understand things from a critical systems perspective. What I have come to realize is that my understanding of systems thinking was helping people understand systems science, but not using systems science to understand their own thinking. Dr. Derek Cabrera a cognitive and systems scientist at Cornell, and author, along with his partner Laura, of Systems Thinking Made Simple: New Hope for Solving Wicked Problems, helped me to connect systems and thinking. In Systems Thinking Made Simple, the Cabrera’s lay out the case for understanding thinking as a complex adaptive system (CAS). -
A Review of Problem Structuring Methods for Consideration in Prognostics and Smart Manufacturing
A Review of Problem Structuring Methods for Consideration in Prognostics and Smart Manufacturing Patrick T. Hester 1, Andrew J. Collins 2, Barry Ezell 2, John Horst 3 1 Department of Engineering Management & Systems Engineering, Old Dominion University, Norfolk, VA 23529 [email protected] 2 Virginia Modeling, Analysis, and Simulation Center, Old Dominion University, Suffolk, VA 23435 3 Engineering Laboratory, National Institute for Standards and Technology (NIST), Gaithersburg, MA 20899 ABSTRACT environments has been exacerbated in recent years. “Modern engineering systems and manufacturing processes Successful use of prognostics involves the prediction of are becoming increasingly complex, and are operating in future system behaviors in an effort to maintain system highly dynamic environments. Thus, sustaining the availability and reduce the cost of maintenance and repairs. reliability of such systems is becoming a more complex and Recent work by the National Institute of Standards and challenging requirement” (Lee, Ghaffari, & Elmeligy, 2011, Technology indicates that the field of prognostics and health p. 111). Prognostics and health management, specifically for management is vital for remaining competitive in today’s smart manufacturing, is a promising area of research as a manufacturing environment. While prognostics-based means for maintaining complex system reliability and for maintenance involves many traditional operations research- helping to make the U.S. succeed globally; however, it has centric challenges for successful deployment such as limited yet to be universally embraced due to a number of factors availability of information and concerns regarding that will be discussed later in this paper. We argue that computational efficiency, the authors argue in this paper that prognostics and health management requires a the field of prognostics and health management, still in its preprocessing step, known as problem structuring, in order embryonic development stage, could benefit greatly from to allow it to reach its full potential. -
On the Evolution of Systems
Evolution Of Systems Michel Lecoq iTER - Belgium tel. : + 32 4 278 1008 fax.: + 32 4 278 1009 [email protected] Introduction This article is an attempt to formalize my thoughts about the evolution of products or of systems in general. It does not contain anything new. To the contrary, it just applies the assumption that "somebody somewhere has solved a problem like mine". Altshuller proposed "trends of evolution" that are presently expanded by many authors in the TRIZ literature. In his book, Darrell Mann (1) has 31 of these trends. They are observations of the evolutions of objects. This part of TRIZ does not satisfy me. It looks more like a collection of examples of the use of some TRIZ principles (e.g. The trend of "space segmentation" or the trend of "object segmentation" show the segmentation principle at different levels in a solid). This article tries to show TRIZ practitioners other attempts to approach the evolution with the hope that somebody will once formulate a coherent theory or at least a coherent guideline. After introducing the general modeling of systems, the article draws from the evolution of living systems to show some conclusions useful for the TRIZ practitioner. The way we look at the evolution of products has also an impact on the way we model the objects and their functions. Therefore, the article ends with some comments about modeling. First part: Modeling the general system System theory is a "theory" that started in the 1920's and was developed mainly from 1950 to 1980. It is a kind of reaction to the Cartesian or scientist thinking of most of the technicians. -
Soft Systems Methodology
Soft Systems Methodology An Introduction Computer Science/Roskilde University, Spring 1994 Jesper Simonsen Soft Systems Methodology......................................................................................1 Background...........................................................................................................1 SSM 1981 ...............................................................................................................2 Stage 1 and 2..............................................................................................3 Stage 3........................................................................................................4 Stage 4........................................................................................................5 Stage 5........................................................................................................6 Stage 6 and 7..............................................................................................7 SSM 1990 ...............................................................................................................7 The Stream of Logic-Based Enquiry........................................................9 The Stream of Cultural Enquiry ............................................................11 SSM and the Construction of IS ........................................................................12 Table of Key Concepts and Techniques/Guidelines.......................................14 The Philosophy of SSM......................................................................................14 -
Evaluation of the Vocational Training System in Qatar's Public Sector
Evaluation of the Vocational Training System in Qatar’s Public Sector Hamad Al-Kaabi In Partial fulfilment of the requirements for the Doctor of Degree of Philosophy Cardiff Metropolitan University February 2020 Abstract The concept of policing a state has had to undergo a change of mindset due to the global nature of today’s world. There was anecdotal evidence that the training was outdated and did not take into account the cross-cultural differences that exist in Qatar. This study investigates this hypothesis and evaluates the quality of training at the Police Training Institute in Qatar After conducting an exhaustive literature review covering cross cultural differences, systems thinking and different delivery methods a methodological evaluation of public sector training was conducted using the Soft Systems Methodology of Professor Peter Checkland. The key findings to come out of the SSM Analysis were: the police training did not meet the participants’ expectations, course content failed to provide trainees with new skills, the delivery of the courses lacks interaction and courses were not useful or challenging. A conceptual model was developed that dealt with: new content cultural differences and; new delivery methods A new course was designed, delivered, tested and evaluated. This was a course on Systems Thinking. Also, an App was designed for mobile phones which enabled the course to be delivered in a more modern manner which used the concept of social media. The final analysis showed that the Systems Thinking ideas were well received and more courses need to be designed at all levels. It suggested that there is a future for mobile technology in training and it encouraged organizations to experiment with this form of delivery. -
Systems Thinking in Tobacco Control
NCI TOBACCO CONTROL MONOGRAPH SERIES 18 National Cancer Institute Greater Than the Sum Systems Thinking in Tobacco Control Edited by Allan Best, Ph.D. Pamela I. Clark, Ph.D. Scott J. Leischow, Ph.D. U.S. DEPARTMENT William M. K. Trochim, Ph.D. OF HEALTH AND HUMAN SERVICES National Institutes of Health Other NCI Tobacco Control Monographs Strategies to Control Tobacco Use in the United States: A Blueprint for Public Health Action in the 1990’s. Smoking and Tobacco Control Monograph No. 1. NIH Pub. No. 92-3316, December 1991. Smokeless Tobacco or Health: An International Perspective. Smoking and Tobacco Control Monograph No. 2. NIH Pub. No. 92-3461, September 1992. Major Local Tobacco Control Ordinances in the United States. Smoking and Tobacco Control Monograph No. 3. NIH Pub. No. 93-3532, May 1993. Respiratory Health Effects of Passive Smoking: Lung Cancer and Other Disorders. Smoking and Tobacco Control Monograph No. 4. NIH Pub. No. 93-3605, August 1993. Tobacco and the Clinician: Interventions for Medical and Dental Practice. Smoking and Tobacco Control Monograph No. 5. NIH Pub. No. 94-3693, January 1994. Community-based Interventions for Smokers: The COMMIT Field Experience. Smoking and Tobacco Control Monograph No. 6. NIH Pub. No. 95-4028, August 1995. The FTC Cigarette Test Method for Determining Tar, Nicotine, and Carbon Monoxide Yields of U.S. Cigarettes. Report of the NCI Expert Committee. Smoking and Tobacco Control Monograph No. 7. NIH Pub. No. 96-4028, August 1996. Changes in Cigarette-Related Disease Risks and Their Implications for Prevention and Control. Smoking and Tobacco Control Monograph No. -
Soft Systems Methodology (SSM)
Page 1 of 8 Soft systems methodology 4.1 introduction: Soft systems methodology (SSM) is a systemic approach for tackling real-world problematic situations.[1] Soft Systems Methodology is the result of the continuing action research that Peter Checkland,[2] Brian Wilson,[3] and many others[4] have conducted over 30 years, to provide a framework for users to deal with the kind of messy problem situations that lack a formal problem definition.[5][6] Soft systems methodology Soft systems methodology (SSM) is a systemic approach for tackling real-world problematic situations.[1] Soft Systems Methodology is the result of the continuing action research that Peter Checkland,[2] Brian Wilson,[3] and many others[4] have conducted over 30 years, to provide a framework for users to deal with the kind of messy problem situations that lack a formal problem definition.[5][6] Overview It is a common misunderstanding that SSM is a methodology for dealing solely with ‘soft problems’ (i.e., problems which involve psychological, social, and cultural elements). SSM does not differentiate between ‘soft’ and ‘hard’ problems, it merely provides a different way of dealing with situations perceived as problematic. The ‘hardness’ or ‘softness’ is not the intrinsic quality of the problem situation to be addressed, it is an aspect of the way those involved address the situation. Each situation perceived as problematic has both ‘hard’ and ‘soft’ elements. The very notion of a problem is contingent on a human being perceiving it as such. e.g. One man's terrorist is another man's freedom fighter. SSM distinguishes itself from hard systems approaches in the way it deals with the notion of ‘system.’ Common to hard systems approaches is an understanding of systems as ontological entities, i.e., entities existing in the real world. -
Detangling the Wicked Problem of Modern Crime
WEBS OF DECEIT: DETANGLING THE WICKED PROBLEM OF MODERN CRIME drhgfdjhngngfmhgmghmghjmghfmf For: 2016 Fram Applied Critical Thinking Speaker Series PAMELA J. SYDELKO DIRECTOR: SYSTEMS SCIENCE CENTER GLOBAL SECURITY SCIENCES DIVISION ARGONNE NATIONAL LABORATORY Pamela J. Sydelko Education PhD M.S. in Soil B.S. in Botany MBA Candidate Science Systems North Dakota Skills Science University University the State Something aboutUniversity me that of you should know of Illinois of Chicago University Hull, UK 1982 1984 2004 Present Experience Environmental Spatial GIS Integrated Executive Systems Science Modeling M&S Management Science the zero 1985 1988 1994 2003 2004 2014 U.S. Army Argonne Construction National Engineering Laboratory Research Laboratory 2 WHAT IS A SYSTEM? EVOLUTION OF SYSTEMS THINKING Systems HARD AND SOFT SYSTEMS THINKING Thinking CRITICAL SYSTEMS THINKING (CST) RadialSYSTEMIC List INTERVENTION-SmartArt This is example for a subtitle WHAT IS A WICKED PROBLEM? Wicked Problems PROPERTIES OF WICKED PROBLEMS COMPLICATED VS WICKED PROBLEM? Brainstorm OUTLINE The Inter- STOVE-PIPED GOVERNMENT agency GOVERNMENT CZARS AND TASK FORCES Proposal PARTICIPATORY SYSTEMIC PROBLEM STRUCTURING Crime at ANTICIPATORY SYSTEMS the Urban Edge SYSTEMIC ORGANIZATIONAL DESIGN EVALUATION OF METHODS AND PROCESS 3 4 WHAT IS A SYSTEM? . A System is a set of interacting or interdependent components forming an integrated whole and serving a common purpose 5 FOUNDATIONS OF SYSTEMS THINKING? "Modern science is characterized by its ever-increasing specialization, necessitated by the enormous amount of data, the complexity of Ludwig von Bertalanffy techniques and of Systems thinking has theoretical structures “There appear to exist roots in the General within every field. Thus general system laws which apply to any Systems Theory that science is split into was advanced by system of a particular Ludwig von innumerable type, irrespective of the Bertalanffy in disciplines continually particular properties of the1940’s.