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🐨 Alex G
Friday, July 10, 2026 at 11:05am.
Goodman Building - Lecture Theatre
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TuesdayJul 28 2026ACAW - Warm Data Lab - Emergence through conversationsWebsite
We live in a world of urgency, crises and finding immediate solutions. But many of the challenges we face aren’t technical, they are relational and systemic. They live in how we meet each other and how we perceive the living systems we’re part of and are in dynamic movement together.
In this Warm Data Lab*, you are invited to step out of fixing, ‘faster’, and fragmentation, into a space for collective conversation, creating conditions of the soil for new ideas and perceptions.
We won’t have panels, presentations or experts. There aren’t going to be five top actions you can take right now.
Just story-sharing across the many contexts that shape real life. And in this space of being together, we cultivate different conditions that may just allow some new insight or noticing.
This is an invitation to slow down, arrive exactly as you are, with all your messy complexity, and be in the stories together. What happens if we shift the conditions that allow for possibility to emerge?
We are also hosting an event on Thursday 30th July 6.30-9pm for those unable to make this time.
Warm Data Labs were created by Nora Bateson as an approach for noticing and exploring complexity, by moving through it together.
In a Warm Data Lab, people share stories across the many contexts that shape their lives. The intention isn’t to achieve certain outcomes or solve problems, but because something often becomes visible in that crossing of perspectives that isn’t visible anywhere else. Its found in the gaps, the contradictions, the unexpected resonances between very different lives and experiences.
These labs can feel unfamiliar. As the process is both deeply familiar, and yet it doesn’t resolve to comfort or clarity. It is important to note that this is not a flaw in the design.
Warm Data itself is Nora Bateson’s term for information that is ‘alive’ and in movement. Information that keeps its context intact, the relationships, conditions and entanglements that give it meaning. Where most data strips that away, noticing warm data reveals these independencies and give us a deeper appreciation of our entanglement.
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