The Unified Theory of Possibility:
A Framework for the Age of What Could Be
The Unified Theory of Possibility: A Framework for the Age of What Could Be
Why now, what has changed, and what must change to build the next era of moonshot thinking. Introducing shared models, language, and standards that make breakthrough innovations possible.
Why now
We love to talk about moonshots but rarely fund the work. R&D spending is at record highs, yet capital continues to pile into upgrades, ad tech, convenience apps, and AI systems that optimize efficiency instead of expanding human potential. There is lots of motion but not enough movement. Ideas are abundant; mobilized and connected breakthrough ideas, the kind that rewire systems, are what we are missing.
Imagine if…
datasets were living seeds, not locked silos.
moonshots were owned by everyone—and prosperity was shared.
humans and AI partnered to expand collective imagination.
markets rewarded Return on Future, not quarterly extraction.
civic labs let communities test bold ideas in real time.
every “failure” fed the next breakthrough in a zero-waste commons.
institutions were built for perpetual re-architecture.
imagination itself was treated as infrastructure.
Inside the book
Part I – The Case for a New Infrastructure
Part II – The Science of Possibility
Part III – Building the Possibility Infrastructure
Part IV – From Movement to Practice
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Possibility Sciences Hub
Possibility Sciences is emerging fast—and it’s messy. Ideas live across systems thinking, design, policy, data science, and field practice. Innovations are siloed, fragmented, and guarded, creating a disconnected, high-waste ecosystem. Without shared models, language, and evidence, teams reinvent the wheel, chase hype, and struggle to compare what works where. We’re launching the Possibility Sciences Hub to provide a common backbone of plain-spoken frameworks, models, and reference metrics that make the field legible and usable.
What We Are Building
Peer-review–style briefs with citations and reproducible models/frameworks; cross-case syntheses that test sector-spanning hypotheses; and perspective papers that set research agendas for Possibility Sciences—plus standards, taxonomies, and metrics.