Adaptation – Integration and Implementation Insights

Adaptive skilling

August 3, 2023October 18, 2022

By Seema Purushothaman

How can tribal societies forge a healthy equilibrium wherein short-term gains in livelihoods can be achieved without permanent loss in quality and security of tribal life? Are there lessons beyond the developmental journeys of the marginalised to how societies can craft informed, deliberative and adaptive mechanisms to generate blended knowledge that links diverse systems of learning and practice?

We suggest that the answer lies in adaptive skilling (Purushothaman et al., 2022).

What is adaptive skilling?

The process of adaptive skilling is more than mere avoidance of deskilling or just ensuring the continuity of individual and social learning. It also differs from a ‘reskilling’ approach that brings back traditional skills or brings in alien and unsustainable skills.

Fifteen characteristics of complex social systems

May 31, 2021March 17, 2020

By Hamilton Carvalho

Author - Hamilton Carvalho — Hamilton Carvalho (biography)

What is it about complex social systems that keeps reproducing old problems, as well as adding new ones? How can public policy move away from what I call the Mencken Syndrome (in reference to a quotation from American journalist Henry Mencken) – that is, continually proposing clear and simple solutions to complex social problems – that are also wrong!

With this goal in mind, I have compiled a list of fifteen major characteristics of complex social systems based on the system dynamics and complexity sciences literatures, as well as my own research.

Accountability and adapting to surprises

August 11, 2023August 27, 2019

By Patricia Hirl Longstaff

Image of Patricia Hirl Longstaff — Patricia Hirl Longstaff (biography)

We have all been there: something bad happens and somebody (maybe an innocent somebody) has their career ruined in order to prove that the problem has been fixed. When is blame appropriate? When is the blame game not only the wrong response, but damaging for long-term decision making?

In a complex and adapting world, errors and failure are not avoidable. The challenges decision-makers and organizations face are sometimes predictable but sometimes brand new. Adapting to surprises requires more flexibility, fewer unbreakable rules, more improvisation and deductive tinkering, and a lot more information about what’s going right and going wrong. But getting there is not easy because this challenges some very closely held assumptions about how the world works and our desire to control things.

Let’s not kid ourselves. Sometimes people do really dumb things that they should be blamed for. What we need is to be more discriminating about when finding blame and accountability is appropriate.

What makes government policy successful?

August 11, 2023June 11, 2019

By Jo Luetjens, Michael Mintrom and Paul ’t Hart

authors_jo-luetjens_michael-mintrom_paul-t-hart — 1. Jo Luetjens (biography)
2. Michael Mintrom (biography)
3. Paul ’t Hart (biography)

There is considerable pressure on researchers to show that their work has impact and one area in which impact is valued is government policy making. But what makes for a successful government policy? What does it take to achieve striking government performance in difficult circumstances or the thousands of taken-for-granted everyday forms of effective public value creation by and through governments?

We used four dimensions to assess levels of success:

Adaptive social learning for systemic leadership

December 9, 2021April 23, 2019

By Catherine Hobbs

What’s involved in developing human capacity to address complexity, taking a mid- to longer-term viewpoint than is usual? How can we create the conditions in which people can cope with the daily challenges of living in a complex world and flourish? What form of leadership is required to inspire and catalyse this transformation?

Framework for adaptive social learning

The need for systems thinking is often referred to, but rarely considered, as a rich and comprehensive resource which could be developed further and applied.

Managing deep uncertainty: Exploratory modeling, adaptive plans and joint sense making

April 15, 2022August 15, 2017

By Jan Kwakkel

How can decision making on complex systems come to grips with irreducible, or deep, uncertainty? Such uncertainty has three sources:

Intrinsic limits to predictability in complex systems.
A variety of stakeholders with different perspectives on what the system is and what problem needs to be solved.
Complex systems are generally subject to dynamic change, and can never be completely understood.

Deep uncertainty means that the various parties to a decision do not know or cannot agree on how the system works, how likely various possible future states of the world are, and how important the various outcomes of interest are.

Bringing the Immunity-to-Change™ process to the scientific community

June 8, 2021July 4, 2017

By Erica Lawlor and Cheryl Vaughan

How can scientists whose careers were formed in an incentive system that cultivates competitive and territorial behaviors be helped to meet the expectations of collaborative research frameworks? A team-based approach that transcends disciplinary boundaries may be a tall order for scientists who “grew up” in a system where funding and promotion are based upon a proven record of individual contributions to a field of research. But that is the direction in which much of science is heading.

Scaling up amidst complexity

April 28, 2023June 27, 2017

By Ann Larson

How can new or under-utilized healthcare practices be expanded and institutionalized to achieve audacious and diverse global health outcomes, ranging from eliminating polio to reversing the rise in non-communicable diseases? How can complex adaptive systems with diverse components and actors interacting in multiple ways with each other and the external environment best be dealt with? What makes for an effective scale-up effort?

Four in-depth case studies of scale-up efforts were used to explore if there were different pathways to positively change a complex adaptive system.

Keys to transformation: Interactions of values, rules and knowledge

April 15, 2022June 20, 2017

By Russell Gorddard, Matthew Colloff, Russell Wise and Michael Dunlop

Adapting to climate change can require profound alterations in environmental management and policy. However the social context of a decision process limits options and resists change, often dooming attempts to adapt to climate change even before they begin. How can decision makers in policy and management more effectively see the institutional and social water they swim in, in order to better drive change?

Values, rules and knowledge (vrk) provide a useful heuristic to help decision makers analyze how the social system shapes their decision context. Put simply, decisions require:

knowledge of options and their implications
values to assess the options
rules that enable implementation.

gorddard_values-rules-knowledge — Figure adapted from original in Gordardd *et al*. (2016)

Viewing the decision context as an interconnected system of values, rules and knowledge can reveal limits to adaptation and suggest strategies for addressing them (Gorddard et al. 2016).

Values are the set of ethical precepts that determine the way people select actions and evaluate events.

Rules are both rules-in-use (norms, practices, habits, heuristics) and rules-in-form (regulations, laws, directives).

Knowledge is both evidence-based (scientific and technical) knowledge and experiential knowledge.

Decision context is the subset of interacting subsystems that are at play in a particular decision process. One core idea is that the decision context may exclude relevant values, knowledge or rules from being considered in decisions. Adaptation may therefore involve change in the decision context.

russell-gorddard — Russell Gorddard (biography)

matt-colloff — Matthew Colloff (biography)

michael-dunlop — Michael Dunlop (biography)

Research impact: Six kinds of change

August 16, 2023March 29, 2016

By Gabriele Bammer

What kinds of change can implementation of research findings contribute to? Sometimes the aim is to make change happen, while at other times research implementation is in response to particular proposed or ongoing change.

Making change happen

Two ways of making change happen that are important for research impact are: 1) contributing to the on-going quest for improvement and 2) combatting practices or behaviours that have negative outcomes for individuals or society.

Examples of contributing to the quest for ongoing improvement include technological research such as invention of thinner lenses to revolutionise cameras and social research such as development and implementation of a disability insurance scheme.