How we work with AI is being shaped in many places, from regulation and technology development to organisational choices and everyday professional practice. This post reflects on what experience from environmental management and collaborative practice might bring to thinking about
Recent climate adaptation reports highlight a familiar challenge: it is often easier to track what has been done than to know whether risks are actually being reduced or resilience strengthened. A recent New Zealand assessment, alongside international guidance, points back
The first part of this two-part reflection mapped the wider ethical terrain around AI. This second post asks what those concerns might mean for the way AI is designed, developed and deployed, drawing on six principles that put purpose, human
As AI increasingly becomes part of professional practice, we may need to rethink not only how people use it, but how people learn to become, and remain, capable practitioners. In a recent post I asked what better work with AI
Much discussion about AI focuses on models, governance and regulation. This post looks instead at what happens to professional practice when AI becomes part of everyday work. It considers how practitioners, teams and smaller organisations can decide what better work
Generative AI is increasingly being used in products, services and professional work, but evaluating whether it is helping requires more than checking its outputs. This post draws on established approaches to planning, indicators, evaluative rubrics and monitoring, evaluation and learning.
Not everyone needs to be in every meeting. This reflection looks at how people get involved in collaborative work over time. It considers why they have different needs and reasons for becoming involved, how some stay connected through others they
Organisations evidence participation through its visible products: workshops held, submissions received, themes identified, reports produced. Much of the documentary record around those activities can now be generated in minutes. That makes it possible to produce a convincing account of a
Place-based change rarely happens in one room. It unfolds across communities, agencies, knowledge work, governance, engagement and implementation. This post explores why distributed collaborative planning needs a wider “runsheet” – a shared process design that helps those different parts of
Many teams, workshops and collaborative processes are starting to use AI to summarise notes, draft strategies, cluster themes, prepare options and review emerging ideas. These uses can be valuable, especially when they help people move from scattered material to something
This site curates annotated links to tools and frameworks for people working in complex, multi-actor settings. It also shows how different dimensions of practice fit together across real-world contexts.
If you’re looking for tailored support – whether that’s short advisory input, process design, reflective coaching, or strategic writing – you’re welcome to get in touch or visit my bio and services page to learn more. I work collaboratively on facilitation, evaluation, and learning design, often during early-stage or time-limited phases.
Visit some of my reflections on collaborative practice and learning in complex, multi-actor settings.
This site is free for everyone, but not free to maintain. If you find it useful, you might consider a small contribution, about the cost of a cup of coffee, to help keep it going.
Visit core pages introducing key themes, approaches, and frameworks for supporting collaboration and learning in complex, multi-actor contexts.
