Systems Practice

Créer par:  Former Member
Dernière mise à jour: 10 janv. 2023
Training

Free 8 week course, starts 24 January 2023.

Learn to use a systems thinking approach to move from “impossible” to impact

Learn How To:

  • Map a complex system to gain clarity
  • Identify specific points in the system where you can make a big impact
  • Create leverage hypotheses to describe how you will aim to create systemic change
  • Develop a framework for learning and adapting over time as your system changes
Category: Shaping Places for Healthier Lives Health Inequalities - Health In All Policies
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Rob Black
Il y a 3 années - Edité

I have completed this course and would highly recommend it to others!

Some personal reflections follow:

• Course framing / examples etc err towards social change but proposed “systems practise” model / tools are transferable to more socio-technical challenges.

• Some lofty concepts are cited (moral leadership, philanthropy etc) but the course seems to gets more practical as it progresses.

• Reflects a more qualitative than quantitative method.

• Complexity spectrum prompts are helpful in eliciting thoughts / perspectives on given problem / opportunity. Envisaged onward use in group project KO / issue analysis meeting or workshop as well as individual practise (gathering personal reflections on any given matter).

• Challenge / goals framing method is helpful and efficient.

• Proposed additional prompts inc. Resolution (requisite precision to guide quantification / quality of analysis, discussion, capture, communication etc) and Exposure (how long do we have / need to look at matters?).

• Building loops and discovering deep structures is challenging.

    - Advance identification forces and discussion / reflection on linked causes / effects helps.

    - Rendering variables as "increasing / decreasing X“ helps.

    - More complex scenarios may need multiple filtered views / complementary diagrams to capture, summarise and communicate varied elements, structures, and perspectives. This is likely to be helpful also when attempting to model competing dynamics / narratives as these seem harder to reconcile conceptually and render in one view.

• CLA modelling could be done using Visio / other but Kumu offers value-added features (e.g. auto-detection and summary labelling of loops, highlighted / focus on nodes and connections, search etc).

• Socialising and iterating CLDs is helped by broad engagement, structured prompts and filtered / focussed progression (deep structure view points / core stories presented / addressed in turn).

• Modelling / analysis could be an unbounded and unending task. Individuals / teams should aim to do enough to identify and validate deep structure and prospective leverage points as commensurate with problem / opportunity scenario.