Just Practicing − The practitioner and the situation

[What a rich source of systems thinkers and systems thinking the OU courses have been!]

[Update: apologies, Helen has pointed out that I put the whole article here without the Creative Commons license – my mistake! It is below.
NB 1, I feel I should probably do short intros to pieces and then a link to the original, which would make the front page easier to scan and redirect more people to the original – my failure to do this often is down to laziness and not being certain where to create the ‘fold’ and stop the content. I’ll try to break that bad habit.
and, 2, I suspect it would also be clearer and easier if I put the ‘link to source’ at the top of the post – the browser plugin I use, ‘press this’, automatically puts it at the bottom, below a sample (badly formatted, no images) of the content. Will try to change this too]

Creative Commons Licence
Just Practicing by Helen Wilding is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
 

Recently I wrote a post on Situations which ended as follows:

But, in spite of all the commonalities, there is a distinction in the way that TU811 treats situations of interest compared to the way TU812 treats situations of concern…

In TU811, it is perfectly possible to adopt a first order stance – using systems approaches to analyse a situation of interest that you stand apart from. You can take the mindset of a consultant asked to advise or make recommendations to someone in government or in an organisation. It is possible to be objective and distant, to lack ownership of and for the situation. I say possible, you don’t have to engage with the situation that way but you can still engage pretty effectively as a systems practitioner if you do.

In comparison, when TU812 talks of situations of concern, they tend to be situations you experience directly – something you are part of. This means a first order stance is more constraining and it is more appropriate to adopt a second order stance. Here your personal engagement with the situation and the other people who are part of it matters. Your emotioning, understandings, actions and interactions can have an influence on whether the situation improves or declines. Your own action and interaction matters.

In the last few days, I have been reflecting on this in the light of closer reading of the work of Ison (2017) and various works by Checkland (e.g. 1985) which formed the basis for Ison’s conceptual model of what it is to think about practice.

The particular aspects I have been reflecting on are the way in which the practitioner and the situation can be perceived to relate to each other.

In Checkland’s various diagrams of the nature of research, his SSM model and the LUMAS model, the practitioner(s) doesn’t always get much prominence – when they do appear they are also sometimes referred to as a user(s) of a methodology.  In general though, the practitioner is depicted apart from the situation, engaging with it from a distance (as in my Figure a).

Figure a: A practitioner is apart from a situation engaging with it

Ison (2017) also depicts the relationship in this way in his Figure 3.5 (p.50) which aims to elucidate what happens when a practitioner thinks about their practice – a dynamic which involves a practitioner (P) engaging with a situation (S) with a framework of ideas (F) and a method (M) (the PFMS model)

When I wrote the previous blog, I concluded that it is sometimes more appropriate to adopt a second order stance – to recognise that you are part of the situation (as in my Figure b).

Figure b: A practitioner is part of a situation

My recent insights have arisen from reading the the explanations that Ison (2017) gives when talking about the PFMS model (enhanced by some prompts in some personal correspondence with him).

He emphasises that all practice is situated, which changes the text in my Figure b to Figure c.

FIgure c: A practitioner is part of a situation, their practice is situated

Ison (2017) isn’t alone in bringing attention to the situated nature of practice.  I also like the explanation of Kemmis et al (2014) who coin the term ‘practice architectures’ to refer to the arrangements that afford certain practices and constrain others. Three different arrangements can be distinguished:

“Cultural-discursive arrangements that support the sayings of a practice, material-economic arrangements that support the doings of a practice, and social-political arrangements that support the relating of the practice. These arrangements […] hold practices in place, and provide the resources (the language, the material resources, and the social resources) that make the practice possible” Kemmis et al (2014, p.110)

But I get a sense that Ison (2017) is emphasising something different to Kemmis et al (2014).  Rather than consider the situation as the context of the practice, it is more that ‘the situation’ is one particular element of practice (alongside P, F and M) worth understanding. He states:

“If you are alert you will recognise that this figure [i.e. his Figure 3.5] abstracts the practitioner (P) out of the situation (S) [as in my Figure a], yet I said at the beginning of this chapter that all practice is situated.  To hold on to my claim I must ask you to imagine an animation in which the practitioner (P) and all the other elements, begin inside S [as in my Figure c]; what [the figure] depicts is an expanded abstraction from these initial conditions”. (p.50)

So the situation (S) in Ison (2017)’s depiction is best thought of as the situational element of practice.  This is different to what I have been thinking – I think I have thought of it more like Checkland uses it in terms such as ‘research area’ or ‘the problematic situation’ – the issue that the practitioner is investigating or wanting to intervene in (like concerns about obesity or youth violence).  This is also informed by my use of ‘situation of interest’ during TU811 as per the previous blog I refer to above.

There are similiarities of course – a practitioner may want to understand and act purposefully to change the situational element of their practice and, in doing so, they need to recognise that it has a history and a future (or to draw on Vickers (as Checkland did) it’s helpful to consider it a flux of events and ideas changing through time).

There is a further step to take as well – another level of abstraction. Ison (2017)’s model includes a person (who may be the same as the practitioner) thinking about the practice dynamic.  He refers to all that exists in the thought bubble as a ‘real world situation’ and makes the point that that is his preference in a footnote.  So in that sense, the practitioner reflects on the ‘real world situation’ – that is, their practice (see my Figure d).

Figure d: A practitioner reflects on the ‘real world situation’ – that is, their practice

That ‘real world situation’ is messy and complex so Ison (2017) invites people to think about it in terms of four elements or components and their relationships – the practitioner (P), their framework of ideas (F), the methods they use (M) and the situational (S) element.  This is a heuristic – a device that helps to explore the ‘real world situation’ that is my practice – it isn’t a description of practice itself.

So in my research ‘policy work practice and its development’ is the phenomenom I am interested in – I am not just thinking about it, I am researching it.  I am not just thinking about my own practice, I am considering policy work practice in a more general sense.  In Checkland’s terms, practice is my ‘research area’ and whilst I have been informed by all the ideas above so far I do actually need to more explicitly declare the framework of ideas that informed my choice of methodology and the way I have approached the literature and my data.  That’s what I am currently struggling with – it’s something like my Figure e.

Figure e: A practitioner (researcher) reflecting on their research practice to examine policy work practice and its development

Enough mental gymnastics for today – I do need to come back to this though.  There is another layer in there too – somewhere in the middle – that of the action research participants seeking to understand their practice – a process which generated data for me to analyse and create findings.

 

References

Checkland, P. (1985), From Optimizing to Learning: A Development of Systems Thinking for the 1990s. The Journal of the Operational Research Society, 36(9), pp.757–767.

Ison, R. (2017), Systems practice: how to act Second Edition., Milton Keynes/London: The Open University/Springer Publications.

Kemmis, S., McTaggart, R. and Nixon, R. (2014), The action research planner: doing critical participatory action research, Singapore: Springer Link. [electronic edition]

Source: Just Practicing − The practitioner and the situation

Royal Society Prize lecture – when to trust a self driving car, 20 Nov 2018 London UK

When to trust a self-driving car…

Prize lecture

Free, 20 November 2018 18:30-19:30

The Royal Society, London, 6-9 Carlton House Terrace, London, SW1Y 5AG

Overview

2018 Milner Award Lecture given by Professor Marta Kwiatkowska.

PRISM dice - Milner Lecture
Credit: contributed by Paul Warren

How can we ensure system correctness in the presence of uncertainty?

Continues in source :

https://royalsociety.org/science-events-and-lectures/2018/11/milner-lecture/

Embed It — a programme from The Systems Sanctuary

Embed It

Copy of Launch Embed It- slightly smaller logo.png

Who is this for?

Embed It is for people trying to embed systemic practice within their organization.

This may be grant makers, or not-for-profit organizations who are convinced a systemic strategy is necessary, but are just not sure how to get there.

Our in-house Systems Sanctuary Program is designed with this unique challenge in mind. It will embed systems thinking and doing within your organization for the long term and leave you with powerful systems leaders you can reply on, who feel supported and strengthened in their work.

What does it involve? 

We work with the key systems leaders within your ecosystem, in any location, over a three year period.

We create an independent space for them to meet, connect and support one another to strengthen and improve their practice.

We do this in two ways, by hosting :

  • A supportive peer-learning platform, built specifically for your organization.

We facilitate an in-house peer coaching program. Your in-house Cohort will meet virtually, in groups of up to 6, on a monthly basis via Zoom, for 1.5 hours.

We use a combination of peer-learning, coaching and collaborative sense-making to support systems leaders to find their own solutions.

Participants share the challenges they’re grappling with, make sense together and with the support of facilitators, use this knowledge to inform strategic decision making.

They bring their progress back to the group, so we continue to learn about what works and what doesn’t, as they experiment with systemic interventions.

Our communities build a sense of trust and become the support network your systems leaders can rely on, as they navigate this work.

  • A package of bespoke training modules designed to train your staff on the systemic challenges they face in real time   

We know that the theory and frameworks of systems change work are inaccessible and confusing.

We use our combined 25 years experience of working on systemic challenges, to help your systems leaders to navigate the landscape. We share clear building blocks for systemic interventions, meeting participants where they are at, to help them take the next wise step strategically.

Our research has also unearthed a series of unique skills that are crucial for success of systems leaders in this work. This often neglected part of systems leadership work is illuminated in detail and put front and center of our training program too.

We host six sessions annually based on your bespoke needs.

What happens at each training session?

We bring our Cohorts together virtually, for tailored deep dive training delivered by our team or invited guests. Training is interactive and includes, peer reflection and workshop sessions exploring how this knowledge applies to real time challenges.

What is it like working with you?

Working with us always feels open, honest and compassionate. We pride ourselves on our ability to listen deeply, to empower leaders to find solutions from their own experience, and on turning these insights clear strategy .

Source: Embed It — The Systems Sanctuary

In the thick of it — a programme from The Systems Sanctuary

In the thick of it

“My Peer Input session was a highlight – it came at a time when I was second-guessing my approach to, and gut feelings about, collaboration for systems change. The support, practical advice and reassurance provided by a group of informed and experienced peers was invaluable for setting my on a solid course towards playing an impactful role in leading a systems change initiative.”

— PARTICIPANT, COHORT 1
for website Launch Systems Sanctuary.png

Who is this for?

It is open to people who have been leading a systems change initiative for at least two years. We seeking a diverse, international cohort, who are working on different systems and challenges from public services, to poverty, to climate change, members of professions and beyond.

We especially welcome those who have been disadvantaged by our current systems and welcome applications from people all over the world. We will work out time zones as to fit our cohort.

What will it involve? 

  • Our programs are hosted virtually via Zoom
  • The second program will be run monthly from September- March 2018/2019
  • Each session is 1.5 hours long
  • Participants are required to commit to all 7 sessions in order to take part

What will happen on the calls?

Each session will involve small group gatherings of up to 6 people with a different person sharing a challenge each month, followed by peer-to-peer coaching.

Using the principles of Open Space, we will also build in time for new topics to emerge and be explored together as they arise. The groups will be facilitated by either Tatiana or Rachel.

Price

There will be a slide scale for different types of organization.

Source: In the thick of it — The Systems Sanctuary

Systems Capacities & Capabilities — The Systems Sanctuary

SYSTEMS CAPACITIES & CAPABILITIES

What does it take to lead systemic practice?

The core skills System Capabilities and Leadership Capacities that we have identified in our research are detailed below in the publication below:
The Systems Sanctuary Systems Capabilities and Capacities, short 10.15.2018.png

Source: Systems Capacities & Capabilities — The Systems Sanctuary

podcast — find the outside

[Guess what – via the Systems Studio :-)]

FIND THE OUTSIDE is a podcast about making change with this key truth at the centre: fresh air always helps.

A lively, off-the-cuff conversation hosted by Tuesday Ryan-Hart and Tim Merry on large-scale systems change and equity. For surprising turns, mind-blowing perspective shifts, and good ideas no matter what’s in the way.

In this podcast, we’ll share our greatest light-bulb moments as we advance our own understanding of this work. We’re doing it live, and inviting you in. Welcome!

As Tim says in the first episode: reflection is too important to leave to chance. These conversations give us (and you!) a chance to slow down, catch our breath, and see our space and our work more clearly. Subscribe, share, and watch for new episodes coming through the fall. We’re happy to be in your ears!

Source: podcast — the outside

Entrepreneurial Ecosystem Building Playbook Draft 2 – Kauffman Foundation

[Again, via the excellent Systems Studio]

 

We asked. You delivered.


Your ideas and insights over the past year have contributed to a more substantial Entrepreneurial Ecosystem Building Playbook. Thank you. This version – draft 2.0 – incorporates all we learned from you. We hope it provides a framework for people who seek to grow entrepreneurship in their communities, by providing more specific ideas, guidance, and insights on how to create more inclusive, dynamic, and diverse ecosystems.

Over the past year, we conducted hundreds of discovery discussions to understand the needs of entrepreneurs and those who champion entrepreneurs. This work confirmed many ideas in the first draft of this Playbook. More importantly, it gave us deeper insights into the needs of ecosystem builders and the challenges of ecosystem building.

These conversations reaffirmed our commitment to advancing entrepreneurial ecosystems as a model for economic development. That model focuses on how the whole of a community is far greater than the sum of its parts. It means starting with what a community has and connecting the pieces. More than ever, we believe ecosystem building can transform communities of varying sizes, demographic and socioeconomic contexts, and geographies, and create more sustainable economies everywhere.

We also learned, however, that people building ecosystems can’t succeed on their own. The challenges of this work are significant. Doing it well requires a comprehensive approach, including sophisticated research, interlinked networks, collective learning, and institutional support.

Unfortunately, the emerging field of ecosystem building does not yet have all the necessary professional resources in place. We still lack consensus around some core aspects of the work, including shared outcomes, common metrics, proven methods, and key definitions. As a result, a growing number of ecosystem builders struggle with small budgets, overwhelming workloads, and skepticism in their communities. We see troubling levels of burnout among many practitioners.

Going forward, we must properly equip ecosystem builders as professionals to tackle the challenges they face. The Kauffman Foundation can help, but we can’t do it without you. Together, we can assist practitioners and providers to build professional networks; share knowledge, practices, and stories; build new resources; and generate support for ecosystem building nationwide. This is ultimately about lifting you, the individuals doing the work on the ground and in the trenches.

Our approach – empowering the builders of entrepreneurial ecosystems – will drive the ESHIP Summit initiative in coming years. At the annual ESHIP Summits and during the times in between, we will:

  • Connect individuals who are building ecosystems;
  • Bring in underrepresented, underserved, and underestimated populations;
  • Support the sharing of tools, metrics, frameworks, models, and practices and the development of new resources;
  • Validate ecosystem building as an approach to economic development; and
  • Facilitate easier implementation on the ground in more communities.

Together, we can professionalize the practice of building entrepreneurial ecosystems. We can drive adoption of a new entrepreneur-centric approach to economic development. The effort will take time, and it will require extraordinary collaboration by all of us. And remember, we are still at the beginning. But succeed we must. In the balance are the silent hopes of countless entrepreneurs, yearning to turn their dreams into economic realities and contribute to our shared prosperity.

We are grateful to all of you doing this essential work. We’ve got your backs. And it’s an honor to serve alongside you. Now, let’s get to work!

Victor Hwang, vice president of Entrepreneurship at the Ewing Marion Kauffman Foundation in Kansas City, Mo. #eshipsummit

Victor Hwang
Vice President, Entrepreneurship
Ewing Marion Kauffman Foundation

Source: Entrepreneurial Ecosystem Building Playbook Draft 2 – Intro

Complex Systems Change Starts with Those Who Use the Systems

[Another one via the excellent Systems Studio!]

 

Complex Systems Change Starts with Those Who Use the Systems

Funders and others can better support the involvement of those who use social services in service design and implementation. And by doing so, they can generate more meaningful, systems-level impact.

Philanthropy, especially in the United States and Europe, is increasingly espousing the idea that transformative shifts in social care, education, and health systems are needed. Yet successful examples of systems-level reform are rare. Concepts such as collective impact (funder-driven, cross-sector collaboration), implementation science (methods to promote the systematic uptake of research findings), and catalytic philanthropy (funders playing a powerful role in mobilizing fundamental reforms) have gained prominence as pathways to this kind of change. These approaches tend to characterize philanthropy—usually foundations—as the central, heroic actor. Meanwhile, research on change within social and health services continues to indicate that deeply ingrained beliefs and practices, such as overly medicalized models of care for people with intellectual disabilities, and existing resource distribution, which often maintains the pay and conditions of professional groups, inhibits the introduction of reform into complex systems. A recent report by RAND, for example, showed that a $1 billion, seven-year initiative to improve teacher performance failed, and cited the complexity of the system and practitioners’ resistance to change as possible explanations.

We believe the most effective way to promote systems-level social change is to place the voices of people who use social services—the people for whom change matters most—at the center of change processes. But while many philanthropic organizations tout the importance of listening to the “end beneficiaries” or “service users,” the practice nevertheless remains an underutilized methodology for countering systemic obstacles to change and, ultimately, reforming complex systems.

After a decade of experience instigating public-private collaborations in Europe and elsewhere, we believe philanthropic efforts to change systems continue to be far too focused on solutions developed in idealized contexts, where organizations assume away the implementation challenges of the wider system. Often foundations seek to influence education, social care, and health systems without a clear strategy for how the new innovations will actually result in change. Here is a look at why we believe this problem persists, as well as some observations and lessons that can help funders achieve meaningful results. In particular, we have observed that bringing the people using services into reform efforts greatly informs the design of services and helps overcome some of the obstacles that prevent systems from changing (such as the dominance of professional groups in shaping services).

The myth of philanthropy as the primary catalyst for change

One of the most enduring myths in philanthropy is that foundations should play the leading role in reforming social services. Foundations often see social service providers—both public services and NGOs—primarily as the implementers of solutions developed in isolation. They place less emphasis on understanding the internal dynamics of the organizational fields—such as competing demands for resources and profile between NGOs and medical and educational professionals, or the challenges policymakers face in reallocating resources in highly unionized environments.

This status quo is based on two unhelpful beliefs:

  • That the main barrier to systems-level change is lack of innovation. This is a view that the field should adopt and scale “best practice” solutions developed through research, in other geographies, or in demonstration settings, rather than working from within existing services to overcome the real challenges of implementation.
  • That participants in any given effort will trust funders as neutral brokers with the authority to bring together the field, establish reason and clarity around objectives, and divvy up responsibilities. More-sophisticated versions of this involve funders sponsoring facilitation and scenario planning to get these organizations to work together.

Toward a more realistic, curious, collaborative approach to scaling change

Instead of perpetuating these myths, we suggest that foundations and others looking to collaborate toward systems change prioritize the following five practices:

1. Recognize and learn about the challenges within the system you’re seeking to reform.In the early stages of a collaboration, it is important to get to know how various groups and individuals view the challenges of a given system, and what they see as appropriate ways to overcome them. In homeless services, for example, resources are often tied up in emergency-type responses (such as overnight hostels) that do little to move people into secure tenancies. Yet many international evaluations have shown the effectiveness of housing-first approaches that consult with service users.

An “action-learning” approach has often proved invaluable to our work in this area. It involves interviewing different groups independently, and then grouping their responses (in a non-attributable way) to see various interpretations of progress, emerging challenges, and potential solutions. In this way, collaborators—assisted by independent facilitation—can bring potentially sensitive, seemingly undiscussable issues to the table and deal with them in constructive ways. Action learning enables service users and practitioners to reshape and amend their model or innovation in line with what is achievable, and is more adaptable and incremental than other approaches to reform.

2. Set an example. Putting users’ at the heart of design, delivery, and evaluation also models helpful behavior for the wider system. Asking someone who has used mental health services, for example, to help assess proposals for medical reform funding shifts the status-quo power dynamic; it signals that new services are not simply the preserve of medical professionals, and that the wishes and needs of the people using them are valued. This can help reduce paternalistic attitudes among service providers and help service users become more assertive and confident about sharing their experiences with services.

3. Build out from a coalition of the willing. Leaders who work within social service systems and who are acutely aware of—and frustrated by—the challenges of implementing reform are often the greatest champions of this approach. Professionals, managers, and carers often find a mismatch between available service options and what service users really need. Identifying a coalition of supporters and building out from within the system (rather than testing a pilot program externally and then campaigning for its introduction into the systems) tends to appeal to sceptical senior staff, who often are weary of bright ideas they can’t actually apply. Working out from pockets of best practice within the system shows that you can make progress despite the challenges.

4. Start small. Since the economic recession of 2008, many social service systems have been operating on even leaner-than-usual budgets and facing increasing demands. Small amounts of funding, allocated using clear criteria to instigate reforms, is often a good way to encourage service user involvement, and to uncover early adopters and innovative leaders from within social service systems. In our work supporting mental health service reform in Ireland, for example, we required that providers develop services in partnership with service users before they could qualify for additional funding. This requirement meant providers seeking funding had to embed service users’ views into their reform processes, both at the beginning and as they progressed.

5. Take credit only when necessary. Overtly branding a reform effort as a foundation’s initiative can alienate and demotivate service users and other collaborators. It implies that the reform is coming from the outside. It is better for funders to work collaboratively on the inside of systems from the beginning, without too much concern for attribution, and later shine the light of positive progress on others, many of whom can use this affirmation to make the case for expanding the effort. This creates better conditions for ownership by those who will have ongoing responsibility for sustaining and scaling change. For example, our organization’s work in Ireland has a very low public profile to ensure that credit goes to people who use services, practitioners, and leaders in health and social care fields where we operate.

In our experience, these practices have been more effective than “toolkit” or “playbook” approaches, which often assume that collaborative, systems-level change is less complex than it is and that all involved will share the same willingness to push for change. Putting people using services at the core of reform means seeking users’ regular involvement in decision-making, and having staff develop curiosity and respect for the wishes and capacities of the people they support. When this does not happen, you get expensive systems that provide services people do not want or use.

Involving service users in the design of services, and in decisions about the allocation of resources, can help “unfreeze” assumptions providers make. It can also highlight why providers need to reallocate resources to services that better meet service users’ needs. In the end, real change is simply more likely to happen when we put those for whom change matters most at the center of the process.

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Source: Complex Systems Change Starts with Those Who Use the Systems

Systems Change Framework – overview with practices from the Tasmanian Government, the Australasian Prevention Partnership Centre, and the Sax Institute

[Via the Systems Studio]

Systems Change Framework
September 2018

Authors
Dr Seanna Davidson Manager of Systems Thinking and Capacity Building Email: seanna.davidson@saxinstitute.org.au

The Australian Prevention Partnership Centre

Ms Michelle Morgan
Healthy Communities Officer
Email: michelle.morgan@dhhs.tas.gov.au
Public Health Services
Department of Health, Tasmanian Government

© Sax Institute 2018

Enquiries regarding this report may be directed to:
The Australian Prevention Partnership Centre
www.preventioncentre.org.au
Email: preventioncentre@saxinstitute.org.au
Phone: +61 2 9188 9520
Suggested citation: Davidson S and Morgan M. Systems Change Framework. Sax Institute, September 2018.

Source: Systems Change Overview w Practices.pdf – Google Drive

Building Movement Project – Systems Change with an Equity Lens

[via the Systems Studio]

Systems Change with an Equity Lens

Community Interventions that Shift Power and Center Race

Written by Natalie Bamdad from MAG and Noelia Mann from BMP

This piece is a follow-up to a recent webinar on systems change and equity developed by the Building Movement Project and Management Assistance Group.

Today, in a time of heightened attention to racism, xenophobia, police brutality, sexual harassment, gun violence, Islamophobia, climate change, and more, there is an urgency and commitment to stretch the bounds of what is possible and to move from merely improving systems to disrupting and transforming systems.

And yet, dominant approaches to systems change fail to integrate an intentional racial equity lens into the work.

Without a focus on racial equity, how we bound the system — and influence the structures, people, and invisible fabric that connect these elements within the system — is susceptible to unnamed racial (and/or other forms of) bias and assumptions. We might also ignore the historic context that shaped the system and pursue change efforts that don’t address the unseen patterns of white dominant culture upholding the system. These are just a few of the ways that systems change without an equity lens falls short.

Last fall, MAG partnered with the Building Movement Project to better understand what systems change with an equity lens might look like. The main questions we explored were:

  • What does transformative systems change look like in the field?
  • Where are we seeing real shifts in power and lasting transformation?
  • What is different about the approaches led by people color, women, immigrants and others groups who are leading this work and often on the periphery of dominant narratives about systems change?

These initial conversations brought into focus how systems change with an equity lens differs from conventional approach by explicitly addressing how white supremacy and patriarchy sustain unhealthy systems.

Together we developed a simple framework, which we tested with partners in the field and other systems change practitioners — a group comprised mostly of women and people of color doing this work.[1] In partnership with this group, we distilled four key components that distinguish systems change with an equity lens from other systems change efforts:

1. Grounding in shared humanity. The systems change effort is aligned around a clear vision for change that recognizes the unique and individual needs of everyone in the system. The effort seeks to repair, restore and lift up relationships and connections across people and communities to support shared stewardship for change.

2. Reinforcing and resourcing decisions made by communities affected by injustice. The systems change effort redistributes and rebalances power. Communities are a part of meaning-making and decision-making rather than simply informed. This includes providing communities with the funding, training and information needed to make decisions that serve them.

3. Shifting the role of power from reinforcing systems of injustice to sparking equitable change. The approach is grounded in an understanding of how white supremacy and patriarchy have shaped systems and structures to perpetuate inequity. The strategy assesses who/what has power and how we build, redistribute and share power to transform systems and prevent systems from resetting back to the status quo.

4. Addresses the internal condition of the intervener as well as the system. Effective systems change requires the intervener to look inward and tend to the inner health of the change effort in order to effectively spur change. The systems change effort seeks to alter the dominant and oppressive narratives we tell ourselves and supports people in being grounded and in touch with their emotions so that they can be in relation with one another.

We further explored these components and systems change with an equity lens in a 90-minute webinar (watch the recording here).

Over 700 nonprofit leaders, funders, conveners, and capacity builders from across the justice ecosystem registered for the webinar.

Guest speakers, Reverend Joan C. Ross of the North End Woodward Community Coalition and Lauren Padilla-Valverde, Senior Program Manager at The California Endowment, shared their experiences as practitioners advancing complex systems change that centers racial equity.

Reverend Ross described her work to secure a community-led radio station (WNUC) in Detroit in order shift systems of communication and the demographics of who has ownership over community narratives in Detroit. Prior to this work, structural barriers kept young black community members from sharing their stories beyond their immediate community and shaping narratives about their city.

Lauren shared her work as part of The California Endowment’s Building Healthy Communities Initiative: “Towards a Racially Equitable Monterey County.” The Endowment’s work in Monterey county uses healing-informed practice to support systemic equity in the City of Salinas and brings together government, philanthropy, business, and community members to co-create joint processes for systemic change.

After seeing the framework through Reverend Ross’ and Lauren’s work, audience members shared where they see strengths and opportunities within their own work:

This webinar was just one step in continuing to build our understanding of the intersection of equity and systems change. Webinar participants indicated an interest in continuing the conversation and MAG and BMP are exploring the possibility of bringing together a community of practice, writing additional blog posts on the great questions raised in the webinar, and creating further case studies on the stories shared within the next few months. More to come soon!

Click here to download the webinar slides and watch the recording.

[1] Special thanks to: Helen S. Kim; sujin lee, Independent Coach and Consultant; Steve Lew, Senior Project Director, CompassPoint; Melanie Mitros, PhD; Director, Strategic Community Partnerships, Vitalyst Health; Darlene Nipper, CEO, Rockwood Leadership Institute; and to the many others who contributed their thoughts to the development of this framework.

 

Source: Building Movement Project- Systems Change with an Equity Lens

The source of an idea: Front Office – Back Office

Excellent work by the ‘squire to the giants’ about a 1978 piece on ‘service systems thinking’ which is so… unsystemic… it is amazing – and explains so much.

Service designers, using the concept of ‘front-of-house’ and ‘backstage’, take heed!

“…the less direct contact the customer has with the service system, the greater the potential of the system to operate at peak efficiency…”

Squire to the Giants

An officeI’ve read a number of John Seddon’s books over the years and they are ‘sprinkled’ with critiques of a range of conventional management ‘fads and fashions’. One of his key critiques is of a particular 1978 HBR article written by a Richard B. Chase, titled ‘Where does the customer fit in a service operation?’

The article title sounds relatively innocuous, but Seddon puts it forward as having been a catalyst for the splitting up of service systems into ‘front office – back office’ functions…because it will (according to Chase) make them much more efficient.

Now, whilst (I believe that) I’ve understood Seddon’s critique of the splitting up of service systems into a myriad of (supposedly) specialised components…and the hugely damaging sub-optimisation that this has caused1, I was never quite sure as to the level of ‘blame’2 that could be levelled at Chase’s article – mainly because I…

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In Brief | Complexity and Public Policy | Institute of Public Administration Australia (ACT Division)

I came to this from this tweet:

 

IN BRIEF | COMPLEXITY AND PUBLIC POLICY

As public policy is becoming increasingly complex, governments around the world are becoming more interested in using tools and techniques to understand and intervene in complex systems.  This In Brief looks at some recent thinking on tools and techniques for making sense of, and responding to, complex policy challenges.

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Policy-making and implementation often involves tackling issues nested in complex systems – systems of people, institutions and dynamic environmental factors – and working out how to create or change particular patterns of interaction to get a desired outcome. For example: How might governments design a set of institutions to bring about certain behaviours? or Given a set of institutions, how might the interactions between actors and the institutions be governed to achieve a particular outcome? and How might unintended negative effects be avoided or positive ones enhanced? In recognising that a situation is complex, policymakers don’t assume predictability and control, but rather that there will be periods of stable behaviour as well as both evolutionary and sudden, unpredictable change.

Systems thinking helps us to map the dynamics of a system, understand how the relationship between system components affect its functioning, and what interventions can lead to better results.  It is becoming essential to successful delivery of complex projects and programs, where there are many stakeholders and many possible solutions. As an introductory exercise, you may like to visualise systems thinking and complexity in this TED talk by Tom Wujec on making toast!  See also this blog post from Systems Practitioner on what systems thinkers actually do.

There are several characteristics of complex systems that are pertinent for policymakers including that:
  • a complex system is greater than the sum of its parts; those parts are interdependent – elements interact with each other, share information and combine to produce systemic behaviour.
  • ​some actions (or inputs of energy) in complex systems are dampened (negative feedback) while others are amplified (positive feedback).
  • small actions can have large effects and large actions can have small effects.
  • complex systems are particularly sensitive to initial conditions that produce a long- term momentum or ‘path dependence’.
  • they exhibit ‘emergence’, or behaviour that results from the interaction between elements at a local level rather than central direction.
  • they may contain ‘strange attractors’ or demonstrate extended regularities of behaviour which may be interrupted by short bursts of change (punctuated equilibrium).

Lankelly Chase lists additional characteristics of  complex systems, based on their experience supporting change across the UK public sector, including that:

  • systems are complex and often messy webs that are constantly shifting.
  • everyone who is part of a system holds a different perspective on its nature, purpose and boundaries.
  • everything and everyone exists in relationships, and these involve emotions.
  • change emerges from the way the whole system behaves not from the actions of any one project or organisation.
  • although we can’t fully plan how to achieve the changes we seek, we can identify several conditions that enable positive change and the actions that are likely to move us toward our goal.

For more on complexity theory go to Paul Carney and Robert Geyer’s introductory chapter to the 2015 Handbook on Complexity and Public Policy. Complexity Labs has a selection of books, videos and papers on the subject at this link, including a video on the difference between simple and complex systems.

Charles E. Lindblom described approaches to decision-making in public administration in his 1959 paper The Science of Muddling Through. He points out that there are too many factors both directly and indirectly affected by most public policy decisions and too many possible options for us to be able to describe and evaluate them all. Twenty years later, in Still Muddling, Not Yet Through Lindblom discusses some refinements of his ideas but concluded that his original observations still hold. Complexity clearly is nothing new and applying systems thinking to complex issues is slowly being incorporated into the public policy toolkit, alongside more linear approaches.

In 2008 the Public Management Review devoted an issue to complexity theory and policy formulation, edited by Geert Tesiman and Erik-Hans Klijn (free access to abstracts only) following intensive interest from public management scholars around the world, and the realisation that there was little consensus about the contribution complexity theory could make to theory and practice. This year the same journal editorialised that it was still a ‘becoming field’ and that alternative perspectives had evolved markedly in the ensuing decade.

This is underscored by the establishment of a new Journal on Policy and Complex Systems in 2014. In this video from the journal, Professor Robert Geyer introduces some of the key concepts of complexity theory and how this relates to the public sector.

Listen to this episode of Policy Forum Pod to hear Director of the ANU Crawford School of Public Policy, Helen Sullivan lead a discussion on the complex systems that underpin the success or failure of public policy. Her guests are Professor Claudia Pahl-Wostl (University of Osnabrück) and Assistant Professor Datu Buyung Agusdinata (Julie Anne Wrigley Globa Institute of Sustainability). The Mandarin’s take on the podcast can be found here.

One issue that policymakers confront is that, while different government departments might have clearly designated areas of authority, reality is not nearly so clearly divided. An example is the food-water-energy nexus, as Pahl-Wostl explains. “You can’t manage or govern on water without considering other sectoral policies.” Agusdinata takes this kind of thinking one step further by looking at ‘systems of systems’ to not only understand the policy big picture, but also for bringing about change. Another approach to the complexities of water management is resilience thinking, which has been applied in the NSW Southern Rivers Catchment Plan 2023. By adopting a resilience approach to dealing with unexpected change (see pp 19+)  the plan seeks to understand and set strategies in the context of the entire landscape system, including its people, economies and natural resources.

Complex policy problems are sometimes called wicked problems. In 2006, the Australian Public Service Commission (APSC) wrote about wicked problems and the need to reassess some of the traditional ways of working in the APS to successfully solve or at least manage them. Then Commissioner Lynelle Briggs said that the paper sought to encourage reflection and to ‘look for ways to improve the capacity of the APS to deal effectively with the complex policy problems confronting us’. Wicked problems are often difficult to define, poorly constructed, persistent and social in nature. They involve multiple drivers, impact various policy domains and levels of government. To further complicate matters, any intervention could set off a chain of new unintended consequences’.

An example of such a wicked problem is obesity, which poses a significant challenge for health care systems worldwide, but for which there is still no clear, well-defined solution. As Sarah Frood et al observed in their 2013 article for Current Obesity Reports understanding obesity as a consequence of complex interactions between many variables has been an important milestone for obesity research. A mapping exercise by Foresight Group cited in the article, showed over 100 variables and 300 interconnections that illustrated the diversity and broad range of influences on individual behaviour. The authors concluded that accepting obesity as a complex problem is an important step in working towards solutions that addresses these interconnections and elements.

Another example of a wicked policy problem is climate change. The APSC document above describes climate change as ‘a pressing and highly complex policy issue involving multiple causal factors and high levels of disagreement about the nature of the problem and the best way to tackle it. The motivation and behaviour of individuals is a key part of the solution as is the involvement of all levels of government and a wide range of non-government organisations (NGOs). Francesco Gonella observes that key players in the climate change “narrative” have difficulty moving the discussion past its components: disputability; the relevance of anthropogenic contribution; and the extent of associated dangers. It is a policy issue where vested interests, power and politics occupy centre stage – all adding to its complexity.

Child protection is usually seen as a complex and wicked problem, where there has been a perceived lack of progress in reducing incidences of child abuse and in improving the outcomes for children in both the short and longer term.The OECD Observatory of Public Sector Innovation 2017 report From Transactional to Strategic: systems approaches to public service challenges describes the application of the Vanguard method of systematic change to the ChildProtect public youth protection agency in the Netherlands and the positive outcomes that ensued.

Traditional management tools have limited capabilities when applied to complex problems and issues as this paper on evidence-based policy on the APSC website observes. Although good data is one of the foundations for good policy and review processes,  the dynamics of policy-making are deeply affected by institutional, ethical, political, professional and cultural factors, which will differ across policy domains and issues. In complexity thinking, evidence is no longer captured solely by numbers, but by stories, vignettes and exemplars which are contextualised by local context. ‘Command control models’ of leadership are replaced by more collaborative ways of working including between levels of government, across sectors, and between service users and providers.

The OECD’s Applications of Complexity Science for Public Policy lists some of the tools and techniques used in complex policymaking. Click here for more information on tools and techniques. Design thinking is particularly valuable in moving from visualising the complexity to actionable knowledge that allows public administrators to make decisions.Tapping the expertise and perspectives of citizens and collaborating with other sectors can assist with defining the problem/challenge being addressed and developing more innovative and valued solutions. See our DesignThinking and Policymaking In Brief for more. ThinkPlace also has a post on its website about designing in complex environments.

Another advance in the understanding of complex systems is encapsulated in the Cynefin framework which offers four decision-making contexts or “domains”—obvious, complicatedcomplexchaotic —that help managers to identify how they perceive situations and make sense of their own and other people’s behaviour.It has been used in such public policy areas as emergency management, aged care, US homeland security, the management of food-chain risks and policing the US Occupy Movement.

Systems thinking, at its core, is oriented towards organisational learning -reflection in action. It has the ability to enable us to see not only the current reality, but also how we can make real and lasting beneficial change in a structure or system.  The basic rationale is that, in situations of rapid change, only those structures and systems that are flexible, adaptive and productive will excel. This video gives you the 5th Discipline author Peter Senge’s introduction to the four disciplines of the learning organisation. Reflexive social learning, which enables systems to cope with new, unexpected, conflictual and unpredictable factors, is an important part of today’s policy making, such as that shown in this recent Auditor-General’s audit report on strategic risk governance in Comcare.

A key feature of the learning organisation is feedback loops, which are a series of connections causing output from one part of a system to eventually influence input to the same part of the system. Feedback loops are the main reason a system’s behaviour is emergent; they take place over time and thus create a certain dynamic pattern to a system’s development. A negative feedback loop is one of constraint and balance, always tending towards some equilibrium point. If there is some external shock to the system that is not too large the negative feedback loop will bring it back into balance. As such, a negative feedback is a control mechanism. For example, governments try to control economies through automatic stabilizers where income taxes and welfare spending are used to dampen fluctuations in real GDP.  Positive feedback loops and the exponential change they give rise to can be best described as radical phenomena. When they operate in isolation without negative feedback the outcome will be extreme.   An example relevant to policymaking is the relationship between human population growth and agriculture, meaning that one drives the other with increasing intensity.

        On 9 October 2018, IPAA ACT hosted Embracing Policy Complexity: Making Systems Thinking Real in Government which heard from Dr Toby Lowe (Open Lab and University of Newcastle) and Dr Emma Uprichard (Warwick University) on applying systems thinking to contemporary policy problems. See his presentation slides at this link. A video  of Dr Lowe’s October 2018 address on Complexity and Public Management given at Stanford University can be found here. He is currently working on a range of research projects which explore complexity and system change, including a major project on Funding in Complex Ecologies on how funders and public sector commissioners are responding to complexity. This work has identified a new complexity-informed paradigm for public management, outlined in the report ‘A Whole New World: Funding and Commissioning in Complexity’.

Dr Uprichard is a co-investigator for the ‘Centre for the Evaluation of Complexity Across the Nexus’, a UK research centre tasked with, among other things, developing a range of cutting-edge methods for complex evaluation. She is also a principle investigator the Economic and Social Research Council Seminar Series “Complexity and Method in the Social Sciences”. The transcript of a 2015 interview with Dr Uprichard on the social aspects of data in complex systems can be found at this link.

Source: In Brief | Complexity and Public Policy | IPAA (ACT Division)

Semantic information, agency, & physics

Complexity Digest

Shannon information theory provides various measures of so-called syntactic information, which reflect the amount of statistical correlation between systems. By contrast, the concept of ‘semantic information’ refers to those correlations which carry significance or ‘meaning’ for a given system. Semantic information plays an important role in many fields, including biology, cognitive science and philosophy, and there has been a long-standing interest in formulating a broadly applicable and formal theory of semantic information. In this paper, we introduce such a theory. We define semantic information as the syntactic information that a physical system has about its environment which is causally necessary for the system to maintain its own existence. ‘Causal necessity’ is defined in terms of counter-factual interventions which scramble correlations between the system and its environment, while ‘maintaining existence’ is defined in terms of the system’s ability to keep itself in a low entropy state. We also use recent results…

View original post 89 more words

Know Your Edges – Harish’s notebook

Know Your Edges:

In today’s post I will start with a question, “Do you know your edges?”

Edges are boundaries where a system or a process (depending upon your construction) breaks down or changes structure. Our preference, as the manager or owner, is to stay in our comfort zone, a place where we know how things work; a place where we can predict how things go; a place we have the most certainty. Let’s take for a simple example your daily commute to work – chances are high that you always take the same route to work. This is what you know and you have a high certainty about how long it will take you to get to your work. Counterintuitively, the more certainty you have of something, the less information you have to gain from it. Our natural tendency is to have more certainty about things, and we hate uncertainty. We think of uncertainty as a bad thing. If I can use a metaphor, uncertainty is like medicine – you need it to stay healthy!

To discuss this further, I will look at the concept of variety from Cybernetics. Variety is a concept that was put forth by William Ross Ashby, a giant in the world of Cybernetics. Simply speaking, variety is the number of states. If you look at a stop light, generally it has three states (Red, Yellow and Green). In other words, the stop light’s variety is three (ignoring flashing red and no light). With this, it is able to control traffic. When the stop light is able to match the ongoing traffic, everything is smooth. But when the volume of traffic increases, the stop light is not able to keep up. The system reacts by slowing down the traffic. This shows that the variety in the environment is always greater than the variety available internally. The external variety also equates with uncertainty. Scaling back, let’s look at a manufacturing plant. The uncertainty comes in the form of 6M (Man, Machine, Method, Material, Measurement and Mother Nature). The manager’s job is to reduce the certainty. This is done by filtering the variety imposed from the outside, magnifying the variety that is available internally or looking at ways to improve the requisite variety. Ashby’s Law of Requisite Variety can be stated as – “only variety can absorb variety.”

All organizations are sociotechnical systems. This also means that in order to sustain, they need to be complex adaptive systems. In order to improve the adaptability, the system needs to keep learning. It may be counterintuitive, but uncertainty is required for a complex adaptive system to keep learning, and to maintain the requisite variety to sustain itself. Thus, the push to stay away from uncertainty or staying in the comfort zone could actually be detrimental. Metaphorically, staying the comfort zone is staying away from the edges, where there is more uncertainty. After a basic level of stability is achieved, there is not much information available in the center (away from the edges). Since the environment is always changing, the organization has to keep updating the information to adapt and survive. This means that the organization should engage in safe to fail experiments and move away from their comfort zone to keep updating their information. The organization has to know where the edges are, and where the structures break down. Safe to fail experiments increases the solution space of the organization making it better suited for challenges. These experiments are fast, small and reversible, and are meant to increase the experience of the organization without risks. The organization cannot remain static and has to change with time. The experimentation away from the comfort zone provides direction for growth. It also shows where things can get catastrophic, so that the organization can be better prepared and move away from that direction.

This leads me to the concept of “fundamental regulator paradox”. This was developed by Gerald Weinberg, an American Computer scientist. As a system gets really good at what it does, and nothing ever goes wrong, then it is impossible to tell how well it is working. When strict rules and regulations are put in place to maintain “perfect order”, they can actually result in the opposite of what they are originally meant for. The paradox is stated as:

The task of a regulator is to eliminate variation, but this variation is the ultimate source of information about the quality of its work. Therefore, the better job a regulator does, the less information it gets about how to improve.

This concept also tells us that trying to stay in the comfort zone is never good and that we should not shy away from uncertainty. Exploring away from the comfort zone is how we can develop the adaptability and experience needed to survive.

Final Words:

This post is a further expansion from my recent tweet. https://twitter.com/harish_josev/status/1055977583261769728?s=11

Information is most rich at the edges. Information is at its lowest in the center. Equilibrium also lies away from the edges.

The two questions, “How good are you at something?” and “How bad are you at something?” may be logically equivalent. However, there is more opportunity to gain information from the second question since it leads us away from the comfort zone.

I will finish with a lesson from one of my favorite TV Detectives, D.I Richard Poole from Death in Paradise.

Poole noted that solving murders were like solving jigsaw puzzles. One has to work from the corners, and then the edges and then move towards the middle. Then, everything will fall in line and start to make sense.

Always keep on learning…

Harish's Notebook - My notes... Lean, Cybernetics, Quality & Data Science.

jigsaw

In today’s post I will start with a question, “Do you know your edges?

Edges are boundaries where a system or a process (depending upon your construction) breaks down or changes structure. Our preference, as the manager or owner, is to stay in our comfort zone, a place where we know how things work; a place where we can predict how things go; a place we have the most certainty. Let’s take for a simple example your daily commute to work – chances are high that you always take the same route to work. This is what you know and you have a high certainty about how long it will take you to get to your work. Counterintuitively, the more certainty you have of something, the less information you have to gain from it. Our natural tendency is to have more certainty about things, and we hate uncertainty…

View original post 803 more words

How to inspire learning • Meaning Guide – Steve Whitla

We were talking in the office last week about Growth Mindset – the idea popularised by Carol Dweck that attainment in classrooms is partly determined by whether pupils believe their ability is fixed or expandable.  If you’ve been in a school recently, the chances are you’ll have seen posters like these around the building:

I haven’t seen this applied in business yet, but surely it’s only a matter of time.  On one hand it seems like common sense – why bother trying to do difficult things if you don’t think they’re possible for you?  On the other hand, handing over classroom time to “growth mindset classes” is questionable, as the results from follow-up studies to Dweck’s original research are at best ambiguous.

I don’t think this should be surprising, as there are good cybernetic grounds to argue that experience of learning is more likely to instill a growth mindset than instilling a growth mindset is likely to instill an experience of learning.  In other words, the feeling of “Wow I never knew I could do that – what else could I try?” is more motivating than “I haven’t tried to do anything yet, but I will be able to if I find the right strategy”.  None of this is to question whether or not having a growth mindset is a good idea.  What it is to question though, is how one acquires it.  Why do some people seem to love learning, growing and challenging themselves, while others are happy with the status quo?  Is it down to the quality of their growth mindset training?  Is it just personality?  Or is it something else?

I can speak from some experience about this, because in my lifetime I have been both of these people.  As a student at school and university I did the bare minimum to get by, spending my spare time socialising, messing around and playing video games.  As an adult on the other hand, I read voraciously, embrace new opportunities and love learning new skills.  How did that happen?  For me the drivers have always seemed to be much less to do with my beliefs and much more to do with my experience.  For example, one of the things that I counted as “messing around” as a teenager was teaching myself to play the piano.  I heard my mum playing a simple tune one day from some music and asked her to show me how it worked.  She showed me where middle C was on the piano and where it was on the music, and I started counting up and down to find the other notes.  The motivation was nothing to do with self-reflection, I just liked the tune and decided I wanted to play it.  After a few weeks of trying I could play the right hand by ear, and after a few weeks more I could play the left hand as well.  That was the start of a lifelong journey into music that had nothing to do with growth strategies or any sort of intrinsic motivation.  It was more like someone had pulled the wizard of Oz’s curtain aside, and I could see that even impossible-sounding piano music was all written to fit the shape of two hands, even if they were moving quickly.  With enough practice you could play anything you wanted.

Learning as a cybernetic loop

In other words, learning is a cycle in which your knowledge and expertise grow iteratively.  The best way to develop a growth mindset is to get on that cycle, because it’s intrinsically rewarding.  The question, is how do you do that?  How do you get the cycle started?

For many people in the business world, mention a learning cycle and they immediately think of David Kolb’s, a favourite model of trainers and coaches the world over.  The terminology of the model is really abstract, but the stages around the perimeter are easy to follow:  Things happen to us (“concrete experience”), which we then mentally review (“reflective observation”), giving rise to new ideas (“abstract conceptualisation”), which change the way we then interact with the world (“active experimentation”).

The same model can be superimposed on the cybernetic cycle of meaning I’ve described in other posts by rotating it 45°.

What I read from this is that learning isn’t just something we choose to do when we go to school or read a book.  It’s rather a fundamental survival mechanism.  Our ability to exist and function in the world is dependent on how good our models of it are, so just as there are reward circuits in our brain for eating, exercising, reproducing and so on, there are reward circuits for making meaning.  If our models are wrong then we can get eaten, or eat something bad for us, or upset someone with power over us.  Even though we no longer have the same levels of imminent threat in the modern world as in more primitive times, the instinct to make meaning remains, driving our insatiable desire to understand.

Cranking up the curiosity

So the key to great learning is not being told how great it would be to learn, it’s to notice how great it is to learn.  Which makes it sound easy, but as you’ll know if you’ve ever tried to teach or train anything, the difficult part is getting started!  Once the cycle gets going it can be very difficult to slow down, but how do you rev it up?  Most of us are happy to stick with our existing models of the world and ignore anything from outside that doesn’t fit.  How do you instill curiosity?  How do you mobilise minds?

Once again, I think the cybernetic approach points to the answers.  Here are four suggestions for spinning the cycle up, inspired by the four “entry points” labelled (a) to (d) on the diagram above:

  • (a) Connect with your audience’s model of the world, not yours:  If you want to inspire someone to learn a skill or engage with a new body of knowledge, you have to start with their mental model, i.e. what theyunderstand and care about, not what you care about.  It’s not rocket science, but telling me something I didn’t know about something I care about is going to get me interested in a way that just directing random information at me is not
  • (b) Get me doing something I didn’t realise I could do:  This is what my mum did when I first learned the piano.  I had a mental model that pianism was an impossible magical superpower that only superhuman people possessed.  Showing me in half an hour that I could do something simple started the cycle going and soon I was yearning for more.
  • (c) Start with a shared experience:  Understanding your audience’s mental model is hard because you can only interpret it through your own.  It’s easier to directly create an experience in front of everyone (using props, roleplays, experiments etc.) that sparks curiosity and gets people talking.
  • (d) Emphasise the difference between my model of the world and my experience of the world:  Start your talk / book / blogpost / article / lesson / class with a completely counter-intuitive fact or claim that people will find difficult to believe.  In so doing you open up a gap between your audience’s mental model of the world and the claim you are making about the world, a gap that they will immediately want to close.  In so doing you kick-start the cycle.  This is why mystery novels are so addictive – the brain doesn’t like unsolved mysteries the same way it doesn’t like unfinished jigsaw puzzles.

I don’t have space here, but it would be interesting to reverse this exercise and look at ways of “stopping” the cycle.  What are the equivalent means of closing off learning and encouraging people to retreat into their existing mental models?  I suspect rather too many of them would exemplify some of the school classes we sat through as kids.

Source: How to inspire learning • Meaning Guide

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