7th International r3.0 Conference, online, 8-11 September 2020: Redesign for a Regenerative & Distributive Economy: Closing Systemic Gaps

Source: https://conference2020.r3-0.org/

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Trist in Canada, Organizational Change, Action Learning – Coevolving Innovations

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Trist in Canada, Organizational Change, Action Learning – Coevolving Innovations

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(52) (PDF) Systemic Design Principles for Complex Social Systems. | Peter Jones – Academia.edu

Systemic Design Principles for Complex Social Systems.

Peter Jones

Systemic Design Principles for Complex Social Systems.

(52) (PDF) Systemic Design Principles for Complex Social Systems. | Peter Jones – Academia.edu

Was going to link to https://www.academia.edu/11677778/Second_Order_Science_Putting_the_Metaphysics_Back_Into_the_Practice_of_Science?email_work_card=title – but then I realised that, like Bowerick Wowbagger fooled by a freak wormhole in time, I’ve I’ve already done this one at https://model.report/s/qmlhpq/second_order_science

Second Order Science: Putting the Metaphysics Back Into the Practice of Science

Michael Lissack

The traditional sciences have always had trouble with ambiguity. Through the imposition of “enabling constraints” — making a set of assumptions and then declaring ceteris paribus — science can bracket away ambiguity. These enabling constraints take the form of uncritically examined presuppositions or “uceps.” Second order science examines variations in values assumed for these uceps and looks at the resulting impacts on related scientific claims. After rendering explicit the role of uceps in scientific claims, the scientific method is used to question rarely challenged assertions. This article lays out initial foundations for second order science, its ontology, methodology, and implications.

Originla model.report content:Second Order Science Content Model academia.eduby antlerboy-benjamintaylor  over 4 years ago | edit | delete | flag | hide | discuss

Main link points to (free subscription wall I think):

Second Order Science: Putting the Metaphysics Back Into the Practice of Science By Michael Lissack

The traditional sciences have always had trouble with ambiguity. Through the imposition of “enabling constraints” – making a set of assumptions and then declaring ceteris paribus – science can bracket away ambiguity. These enabling constraints take the form of uncritically examined presuppositions or “uceps.” Second order science examines variations in values assumed for these uceps and looks at the resulting impacts on related scientific claims. After rendering explicit the role of uceps in scientific claims, the scientific method is used to question rarely challenged assertions. This article lays out initial foundations for second order science, its ontology, methodology, and implications.

Keywords: model,ambiguity,metaphysics,dependence,science

other links:

http://secondorderscience.org Second Order Science First-order science is the science of exploring the world. Second-order science is the science of reflecting on these explorations.

Source Material (links) Karl Mueller Stuart Umpleby Michael Lissack Lou Kauffman Manfred Füllsack Alrøe & Noe Aufenvenne et al

Events

During the ASC day (August 5) at the ISSS conference in Berlin (August 2-7, 2015), we will be holding a half-day symposium on Second Order Science. The panel will be led by Karl Mueller, Stuart Umpleby, and Michael Lissack. The links to the right provide insight into the perspectives of these three scholars. We hope the symposium will provide a platform for even more perspectives. Come join us. (To contribute please contact Stuart Umpleby.)

Links to papers from: Karl Mueller Stuart Umpleby Michael Lissack

http://www.univie.ac.at/constructivism/journal/special/second-order/ Constructivist Foundations » Special Issues Second-Order Science Special Issue of Constructivist Foundations to be published November 2014 Edited by Karl H. Müller and Alexander Riegler Send your contribution to second-order@constructivistfoundations.info Deadline for submissions: 15 May 2014 Download Call for Papers

Timetable

15 February 2014 : Expressions of interest with abstract » second-order@constructivistfoundations.info 15 May 2014 : Submission deadline for papers » second-order@constructivistfoundations.info 1 August 2014 : Revised papers due 1 October 2014 : Open Peer Commentaries (on full papers) due 15 November 2014 : Publication in Constructivist Foundations 10(1) Guidelines & Templates

Please make sure to follow the Guidelines for Authors Use this Word template for contributing articles For Open Peer Commentaries (OPCs) use this template Selected bibliography on second-order science

Glanville R. (2009) The black boox. Volume 3: 39 steps. Edition echoraum, Vienna. Glanville R. (2012) The black boox. Volume 1: Cybernetic circles. Edition echoraum, Vienna. Kauffman L. H. (2003) Eigenforms – Objects as tokens for eigenbehaviors. Cybernetics and Human Knowing 10(3–4): 73–90. Kauffman L. H. (2005) EigenForm. Kybernetes 34(½): 129–150. Kauffman L. H. (2009a) Laws of form and the logic of non-duality. Paper presented at the Conference on Science and Non-Duality, San Rafael CA, October 2009. Kauffman L. H. (2009b) Reflexivity and Eigenform: The Shape of Process. Constructivist Foundations 4(3): 121–137. Also available at http://www.univie.ac.at/constructivism/journal/4/3/121.kauffman Müller K. H. (2009) The new science of cybernetics. The evolution of living research designs. Volume 1: Methodology. Edition echoraum, Vienna. Müller K. H. (2011) The new science of cybernetics. The evolution of living research designs. Volume 2: Theory. Edition echoraum, Vienna. Müller K. H. (2012) The new science of cybernetics. The evolution of living research designs. Volume 3: Research and design rules. Edition echoraum, Vienna. Müller K. H. (2013a) Second-Order Datenanalysen als neues Aufgabenfeld von sozialwissenschaftlichen Datenarchiven. e-WISDOM 4-6: 85–105. Müller K. H. (2013b) Sozialwissenschaftliche Datenarchive im Zeitalter ihrer digitalen Reproduzierbarkeit. e-WISDOM 4-6: 11–36. Müller K. H. (2014) Mapping a new and post-disciplinary research frontier: Science and cybernetics at the second-order level. In: The New Science of Cybernetics. Volume 4: An Interim Report. (In preparation) Scott B. (2011) Explorations in second-order cybernetics. Reflections on cybernetics, psychology and learning. Edition echoraum, Vienna. Umpleby S. A. (2007) Reflexivity in social systems: The theories of George Soros. Systems Research and Behavioral Science 24: 515–522. Umpleby S. A. (2010a) From complexity to reflexivity: Underlying logics used in science. Journal of the Washington Academy of Sciences 1: 15–26. Umpleby S. A. (2010b) Science 2: Is a broader conception of science still science? Unpublished abstract. Other material on second-order science

Stuart A. Umpleby: Second Order Cybernetics Then and Now (Heinz von Foerster Lecture 2013 at the University of Vienna, 18 November 2013)

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A systemic resilience approach to dealing with Covid-19 and future shocks

OECD Policy Responses to Coronavirus (COVID-19)

A systemic resilience approach to dealing with Covid-19 and future shocks

Open PDF  28 April 2020

New Approaches to Economic Challenges (NAEC)

Policymakers often have a linear view of the world, where pulling the right levers will get the economy and society back on track after shocks and crises. This paper argues that such an approach ignores how systems interact and how their systemic properties shape this interaction, leading to an over-emphasis on a limited set of characteristics, notably efficiency. The emphasis on efficiency in the operation, management and outcomes of various economic and social systems was not a conscious collective choice, but rather the response of the whole system to the incentives that individual components face. This has brought much of the world to rely upon complex, nested, and interconnected systems to deliver goods and services around the globe. While this approach has many benefits, the Covid-19 crisis shows how it has also reduced the resilience of key systems to shocks, and allowed failures to cascade from one system to others. A systems approach based on resilience is proposed to prepare socioeconomic systems for future shocks.

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A systemic resilience approach to dealing with Covid-19 and future shocks

Lab log #20: What are innovation ecosystems and what to they have to do with wicked problems? Wicked problems like climate change have to be tackled #together. But when some problems might be within the reach of individual organisations, others that require societal or global collaboration also call for different ways of working together. Innovation ecosystems seek create the foundations for tackling societal or global problems.

Continues in source: Lab log #20: What are innovation ecosystems and what to they have to do with wicked problems? – Sitra

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Systems Change Requires Systems Tools: Moving Beyond the Obvious.

Systems Change Requires Systems Tools: Moving Beyond the Obvious.

Saras Chung, PhD, MSWFollowingJun 5 · 6 min read

Advocates for social justice talk about systems change. However, what does it mean to change a system? Knowing how to do this requires us to see beyond the fact that there is a system and that intervening for change is not that simple. Many of us have now witnessed the unintended effects of greatly intentioned interventions making things worse rather than better over time. From “Zero Tolerance” in schools to “No Child Left Behind” and the unintended consequences of school turnaround efforts, we have plenty of examples of how our efforts to help actually hurt. Failed efforts can be attributed to our incomplete understanding of systems and their dynamics.

For instance, what are the components that describe a system? How do its parts relate and counteract one another over time? Experts in systems and their dynamics are called system dynamicists. Jay Forrester, the founder of this particular field, was pivotable in describing the characteristics of systems from which we as social activists can learn.

To truly be effective at systems change, we must be committed to learning and understanding the language and mechanisms of systems. We must move beyond elementary concepts and use the tools of systems. We must be rigorous. The following is a simplified list of steps to move beyond a nascent understanding of systems — from recognizing there is one, to uncovering its dynamics.

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Systems Change Requires Systems Tools: Moving Beyond the Obvious.

2020-07-13

Systems Thinking Ontario – 2020-07-13

July 13 (the second Monday of the month) is the 81th meeting for Systems Thinking Ontario. The registration is on Eventbrite at https://synthesis-mapping-2020-2.eventbrite.com.

Synthesis Mapping (#2), 2020 Strategic Foresight and Innovation program

Every year Systems Thinking Ontario hosts a series of summer evening events for presentations of synthesis maps (complex systems maps) created in systemic design courses in OCAD University graduate programs.

• The previous evening, June 8, we had three presentations.
• This second evening, July 12, we’re looking to have three presentations.
• The third evening, August 10, we’re holding if there is more interest

Synthesis maps are rich visualizations that illustrate the real-world complexity of systemic challenges, and typically used to not only “map system problems” but to propose design recommendations for systems change and policies (from health to public policy, from service experiences to social change) from evidence gathered in stakeholder research. Policymakers and organizational stakeholders use synthesis maps for strategic advising, long-term planning, and considering interventions for social and systemic challenges (wicked problems).

While we are still sorting out the final slate of presenters, we have confirmed:

• “The Canadian Loonshot: The hewers of pixels and the drawers of data in service of the world”, with Trevor Bell, Geoffrey Evany Hill, Nam Hoang, Ali Milad
• “Putting the Dating in Online Dating”, with Ireena Haque, Gulnar Joshi, Aneesha Kotti, Grayce Slobodian
• [more to come]

Venue:

• The link for a Zoom conference will be sent upon registration on Eventbrite.

Suggested pre-reading:

What are Synthesis Maps and Gigamaps? at https://slab.ocadu.ca/project/synthesis-maps-gigamaps

Suggested pre-reading: What are Synthesis Maps and Gigamaps? at https://slab.ocadu.ca/project/synthesis-maps-gigamaps

Systems Thinking Ontario – 2020-07-13

Visualising transformation: some reflections from the book

• Published on June 8, 2020

Steve Whitla

Director at Visual Meaning Ltd

What’s the best approach to visualising transformation? Why do people go about it in such different ways?

Back in 2018 I got a call from Jonathan Whelan, a business architect who was writing a book on the subject. For a while I’d had a mind to start writing my own ideas down for publication, so I was curious to see what he was creating. When we met, we immediately hit it off. Although his background was in business architecture and mine in change management, we both had huge respect for the value of each other’s approach, even though on the surface they seemed very different. As the conversation unfolded, it became clear that a book from only one of our perspectives would be unbalanced.

There followed a really productive eighteen months of dialogue and collaboration, resulting in our co-authored book, which hit the shelves in February. It has some important things to say that don’t seem to have been said much elsewhere, and while I won’t rehearse them all here, I want to share a few, in order to set up some broader reflections on why they’re not talked about.

Continues in source: https://www.linkedin.com/pulse/visualising-transformation-some-reflections-from-book-steve-whitla/

• DOI:10.1086/286874

The Role of Models in Science

Arturo Rosenblueth, Norbert Wiener

[PDF] The Role of Models in Science | Semantic Scholar

Again, I’m sharing this because I’m slightly boggled. Did it really take eight authors to conclude that “in face-to-face human communication, chemical reactions and ecological systems, interactions can occur in groups of three or more nodes”??

And, apparently, ” Until recently, little attention has been devoted to the higher-order architecture of real complex systems.”

Even if you haven’t heard of systems thinking and cybernetics, surely you’ve heard of the Game of Life in modelling? What am I missing?

Physics > Physics and Society

[Submitted on 2 Jun 2020]

Networks beyond pairwise interactions: structure and dynamics

Federico Battiston, Giulia Cencetti, Iacopo Iacopini, Vito Latora, Maxime Lucas, Alice Patania, Jean-Gabriel Young, Giovanni Petri

The complexity of many biological, social and technological systems stems from the richness of the interactions among their units. Over the past decades, a great variety of complex systems has been successfully described as networks whose interacting pairs of nodes are connected by links. Yet, in face-to-face human communication, chemical reactions and ecological systems, interactions can occur in groups of three or more nodes and cannot be simply described just in terms of simple dyads. Until recently, little attention has been devoted to the higher-order architecture of real complex systems. However, a mounting body of evidence is showing that taking the higher-order structure of these systems into account can greatly enhance our modeling capacities and help us to understand and predict their emerging dynamical behaviors. Here, we present a complete overview of the emerging field of networks beyond pairwise interactions. We first discuss the methods to represent higher-order interactions and give a unified presentation of the different frameworks used to describe higher-order systems, highlighting the links between the existing concepts and representations. We review the measures designed to characterize the structure of these systems and the models proposed in the literature to generate synthetic structures, such as random and growing simplicial complexes, bipartite graphs and hypergraphs. We introduce and discuss the rapidly growing research on higher-order dynamical systems and on dynamical topology. We focus on novel emergent phenomena characterizing landmark dynamical processes, such as diffusion, spreading, synchronization and games, when extended beyond pairwise interactions. We elucidate the relations between higher-order topology and dynamical properties, and conclude with a summary of empirical applications, providing an outlook on current modeling and conceptual frontiers.