This post introduces Theory of Change as a practical way to support shared thinking, surface assumptions and connect strategy with learning. It also points to an updated Learning for Sustainability resource page with curated and annotated links to guides, papers
Problem framing shapes what becomes visible, who is involved, and what kinds of action seem possible. This post reflects on why complex, multi-actor work needs more than a quick move from issue to solution. It also considers how models, frameworks,
Indicators are most useful when they help people notice what matters, discuss what they are learning and make better decisions. This post introduces a new guide for practitioners working with indicators in place-based initiatives, from catchment projects and climate adaptation
Earlier posts in this series looked at what generative AI does and does not do well, and at some of the ethical and practical questions it raises. This post turns to a more immediate question: if your organisation or team wants
Conversations about AI futures often sit at a distance from practice, focusing on policy, risk, or speculation. This post begins from the ground: from the everyday work of evaluation, facilitation, and collaborative decision-making in place-based settings, where the issues at
Concern about the polycrisis of climate change, ecological decline, inequality, and weakening trust in institutions has led some policy thinkers to call for new eco-social contracts. Yet many place-based initiatives have long been working on related questions in practice. This
This post explores how collaborations can move beyond information sharing to support shared learning and adaptation in complex environmental work. It looks at why collaboration needs more than coordination, what learning-supportive environments look like in practice, the roles that facilitators
Many applied research and evaluation projects operate outside formal institutional ethics systems. Over time, a collaborative peer review protocol developed in applied science and evaluation work has supported a range of projects and published work. This post reflects on how
In long-term, multi-actor systems, programmes come and go, but places, relationships and consequences remain. In these complex settings, design, evaluation and facilitation rarely sit neatly in sequence; they overlap. Supporting change in such contexts calls for drawing deliberately across these
Debates about AI often sound polarised, but much of the disagreement comes from people beginning with different assumptions about what is at stake. This post maps two overlapping levels of concern – the structural conditions shaping AI systems, and the
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.
