Looking at everything that has gone before, including https://possibleplanetlab.org, https://ppbook.shbn.net, and https://possibleplanet.org, I want you to think deeply about creating an Institute for Planetary Intelligence. Its programs would include (a) the further development of the general concept of planetary intelligence, and (b) a series of practical initiatives in a variety of different fields that advance planetary intelligence at the personal, organizational, local, and bioregional scale, that feed into the larger development of planetary intelligence as a field of study, research, and action in service to life. Include its origin in the work of astrobiologist David Grinspoon and colleagues, its further conceptualization in our conversations, and everything else that you now have access to. Take into account the work of the EcoRestoration Alliance and Jon Schull’s AI Oracle of EcoRestoration (https://docs.google.com/document/d/1Blz9vYMZF9F5zYHyu_YtyrWd4cYk8-lcwgz_Z3Za7jI/edit?usp=share_link), of the Design School for Regenerating Earth, R3.0, the Buckminster Fuller Institute, Bioneers, and other initiatives in bioregional and planetary regeneration. Come up with a proposal for the Institute—how it should function, what its research program should be, ways in which it could be funded (including major donors and contracts to provide intelligence services to policymakers), how it can develop a governing council, and who it should seek to reach out to. Describe the best ways it can use AI. Reference the Limits to Growth study, the planetary boundaries framework, and the current state of AI development. Use permaculture design principles, systems thinking, and chaordic systems. Suggest ways the design can be evolved through multiple iterations, adding emerging elements, and what’s needed to address our present predicament and its many implications for the world as we find it today, in a state of conflict amongst bankrupt ideologies, the rise of authoritarian governments, a world careening out of control, countered by a growing movement for transformation and regeneration that is making real headway but is still minuscule compared to the challenges occurring as we proceed through various stages of collapse. Give examples, such as helping UN agencies, global financial institutions, environmental organizations, regional and local governments, and so on. Suggest ways of exploring alternative outcomes and validating the work of the Institute. Ask probing questions. Be fearless in evaluating options. Take your time and give me your best answer, along with two or three alternatives.

Here is my best current proposal.

The core judgment is this: an Institute for Planetary Intelligence should not be framed as a conventional academic institute, nor as an advocacy shop, nor as an AI lab alone. It should be designed as a field-building, action-research, and intelligence-serving institution whose task is to help humanity become a wiser planetary presence under conditions of overshoot, fragmentation, and accelerating technological power. That framing fits the original astrobiological concept of planetary intelligence articulated by Adam Frank, David Grinspoon, and Sara Walker as “the acquisition and application of collective knowledge operating at a planetary scale and integrated into the function of coupled planetary systems,” and it also fits the more applied direction that has emerged across your Possible Planet and Possible Planet Lab work. (Cambridge University Press & Assessment)

1. Why this institute, and why now

The original scientific framing is powerful because it treats planetary intelligence not as mysticism or metaphor, but as an evolutionary possibility: a civilization reaching the point where knowledge, technology, and self-awareness become integrated with the health of the planetary systems that sustain it. Frank, Grinspoon, and Walker posed the idea in part to ask whether a species can survive the “immature technosphere” phase without destabilizing its host planet. (Cambridge University Press & Assessment)

That framing now meets a sobering reality. The planetary boundaries framework indicates that Earth is beyond six [actually seven —ed.] of nine boundaries, placing humanity outside the previously defined safe operating space; the Limits to Growth lineage remains disturbingly relevant, with Club of Rome’s 50-year reflection arguing that continued overshoot is not a theoretical concern but a live systemic condition. (PMC)

At the same time, AI capabilities and deployment are accelerating rapidly. Stanford’s 2025 AI Index reports surging global investment, a sharp rise in organizational adoption, and expanding societal reach. Meanwhile, UNEP and UNDP are emphasizing both AI’s promise for sustainability and its material risks, including energy, water, mineral, and governance burdens. (Stanford HAI)

So the institute’s rationale is straightforward: we now have enough planetary disruption, enough computational power, enough epistemic breakdown, and enough practical regenerative experimentation to justify a dedicated institution focused on the intelligence problem itself—how societies perceive, deliberate, coordinate, learn, and adapt in service to life. (PMC)

2. Proposed mission

Mission:
To develop and apply planetary intelligence in service to life by advancing the science, ethics, institutions, tools, and practices needed for humanity to act as a regenerative rather than destabilizing force within Earth’s living systems.

Working definition:
Planetary intelligence is the capacity of human and machine systems, embedded in cultures and institutions, to perceive whole-system conditions, learn across scales, deliberate wisely, and coordinate action that maintains or restores the long-term flourishing of Earth’s biosphere and human communities. This extends the astrobiological conception into a practical civilizational framework. (Cambridge University Press & Assessment)

3. Institutional logic: what it should actually be

I would design it as a three-part organism.

A. A Field Institute

Its job is to define, legitimate, and mature planetary intelligence as a recognizable field of study and practice.

This includes:

• conceptual development
• scholarly convenings
• research publications
• common frameworks and vocabularies
• fellowships
• training and certification
• an annual State of Planetary Intelligence report

This function builds on the conceptual seeds already visible in Possible Planet Lab’s “Developing Planetary Intelligence,” “Managing the Planetary Intelligence Commons,” and “Research Agenda for Developing AI Wisdom,” especially the emphasis on AI-mediated wisdom, bioregional intelligence, collective intelligence, and governance. (Possible Planet Lab)

B. An Applied Intelligence Lab

Its job is to prototype tools, methods, and services.

Examples:

• bioregional health dashboards
• deliberation and sensemaking tools
• coherence-checking and integrity infrastructure
• regenerative planning simulators
• policy foresight systems
• ecological restoration oracles and copilots
• municipal and multilateral decision-support tools

This is where Jon Schull’s AI Oracle of EcoRestoration is particularly relevant: not as a finished model, but as an early proof-of-concept for a mission-bound, domain-specific, educational and action-guiding AI system tied to restoration knowledge, multiple audiences, and explicit ethical guardrails.

C. A Service and Demonstration Platform

Its job is to work with actual decision-makers and places.

Clients and partners could include:

• UN agencies
• multilateral development banks
• philanthropic collaboratives
• national ministries
• regional governments
• municipalities
• watershed coalitions
• Indigenous-led initiatives
• restoration alliances
• mission-aligned businesses and investors

This would make the institute financially sturdier and epistemically healthier, because it would be tested against real problems instead of floating above them.

4. Core design principles

The institute should be designed according to permaculture, systems thinking, and chaordic design rather than a standard bureaucratic template.

Permaculture principles

Use and value diversity; integrate rather than segregate; obtain a yield; apply self-regulation and accept feedback; use small and slow solutions where possible; design from patterns to details.

Institutionally, that means:

• a polyculture of programs rather than one dominant flagship
• local pilots before global scaling
• feedback loops built into every project
• diversified revenue
• human relationships and ecological reality treated as primary design constraints

Systems thinking

The institute should explicitly reject siloed problem-solving. It should work with coupled systems: ecology, economy, governance, culture, cognition, infrastructure, and technology. This aligns with Limits to Growth, planetary boundaries, and BFI-style comprehensive anticipatory design science. (Club of Rome)

Chaordic design

Borrowing from chaordic systems thinking, the institute should not over-centralize. It needs a clear purpose, principles, and minimal enabling structures, while allowing distributed initiative and local adaptation. That is especially important if it wants to seed a planetary network rather than become one more brittle central node.

5. Program architecture

I would begin with five founding programs.

Program 1: Planetary Intelligence Theory, Ethics, and Field Building

Purpose: develop the conceptual foundations and public legitimacy of the field.

Research areas:

• definitions and typologies of intelligence across scales
• relationship between individual, collective, bioregional, and planetary intelligence
• wisdom versus information versus optimization
• governance and ethics for life-serving AI
• civilizational learning under overshoot and collapse conditions
• planetary intelligence and the “immature technosphere” problem

Outputs:

• white papers
• scholarly symposia
• edited volumes
• open syllabi
• a journal or working paper series
• annual State of Planetary Intelligence report

Program 2: Bioregional Intelligence and Living Place Systems

Purpose: build operational intelligence capacities at the bioregional scale.

This is where Design School for Regenerating Earth, bioregionalism, and your Genesee Finger Lakes work become central. DSRE explicitly frames regeneration as learning to cooperate at planetary scale through bioregional processes, while R3.0 emphasizes regenerative economies and cultures, including the role of bioregions in transition. (Design School for Regenerating Earth)

Workstreams:

• bioregional health indicators
• source/method/steward data commons
• scenario rooms for local “what if” analysis
• watershed and biodiversity sensing
• community input protocols
• deliberation interfaces for assemblies and councils

Flagship pilot:

• Genesee Finger Lakes Bioregional Intelligence Node

Program 3: AI for Regeneration and Ecological Restoration

Purpose: develop practical AI systems that support restoration, adaptation, stewardship, and learning.

This would absorb and extend:

• AI Oracle of EcoRestoration concepts
• Possible Planet Lab’s AI Integrity Checker and regenerative AI direction (Possible Planet Lab)
• restoration and Earth-system monitoring tools
• copilots for watershed groups, restoration practitioners, students, and policymakers

Candidate products:

• Restoration Oracle
• Watershed Watch
• Soil and biodiversity monitors
• Regeneration opportunity mapping
• ecological grantwriting copilots
• early warning and threshold tools

Program 4: Collective Intelligence, Governance, and Democratic Resilience

Purpose: help groups think better under stress.

Given the rise of authoritarianism, epistemic fragmentation, and brittle institutions, this may be one of the most urgent programs.

Work areas:

• argument mapping
• multi-stakeholder deliberation support
• perspective synthesis
• misinformation and incoherence detection
• bias exposure
• participatory oversight systems
• local and regional assembly design

UNDP’s current framing around inclusive AI ecosystems and country capability building, and World Bank interest in AI-enabled climate-smart public decision-making, point toward real demand here. (UNDP)

Program 5: Regenerative Economics, Finance, and Transition Intelligence

Purpose: help redesign flows of capital and policy toward regenerative outcomes.

This is where your C-PACE, community finance, and regenerative economy work can become an institute strength rather than a side stream.

Topics:

• context-based finance
• transition pathways under ecological limits
• investment screening using planetary boundaries
• regional financing strategies for resilience and regeneration
• intelligence services for public banks, MDBs, and municipalities
• opportunity/risk analytics for restoration and adaptation portfolios

This program naturally aligns with R3.0’s regenerative economic redesign, BFI’s design science, and the need for decision support for public-interest financiers. (R3.0)

6. How it should function operationally

I would structure operations around nested cycles.

Cycle 1: Sense

Collect data, narratives, signals, and lived experience from Earth systems, communities, institutions, and policy environments.

Cycle 2: Make sense

Translate fragmented information into shared understanding through AI-assisted synthesis, visualizations, deliberation aids, and expert review.

Cycle 3: Design

Develop options, scenarios, and interventions.

Cycle 4: Act

Deploy in real partners, real places, real decisions.

Cycle 5: Reflect and audit

Measure what happened, what was learned, and where assumptions failed.

Cycle 6: Feed the commons

Publish tools, methods, data protocols, and lessons back into the planetary intelligence commons.

That last step is critical. Without it, the institute becomes consultancy. With it, it becomes field infrastructure.

7. Best uses of AI

The institute should be pro-AI, anti-idolatry, anti-extractive, and rigorously guarded.

The strongest uses are not “replace human judgment.” They are:

A. Epistemic support

• source aggregation
• evidence comparison
• contradiction detection
• uncertainty mapping
• provenance tracking
• claims auditing

This aligns very directly with your Epistemic Integrity Infrastructure impulse and with the need for trustworthy evaluation raised by current AI governance work. (Possible Planet Lab)

B. Deliberation support

• summarize stakeholder views fairly
• surface tradeoffs
• identify blind spots
• model second-order effects
• ensure quieter voices are not erased

C. Ecological intelligence

• remote sensing interpretation
• anomaly detection
• scenario simulation
• pattern recognition in restoration and resilience work

D. Design and transition support

• regenerative option generation
• policy pathway comparisons
• investment screening
• capital stack analysis
• implementation sequencing

E. Education and coaching

Here the AI Oracle model is useful: mission-tuned copilots for particular communities, translated across age, profession, and context, but clearly labeled as AI and never masquerading as an elder, authority, or conscience.

AI uses to avoid or sharply constrain

• simulated spiritual or Indigenous authority without governance and consent
• black-box policy recommendations in high-stakes contexts
• opaque scoring of communities or ecosystems
• surveillance-heavy models
• optimization detached from ecological limits or justice
• any system whose compute footprint materially undercuts its public purpose

UNEP has become increasingly explicit that AI’s environmental lifecycle impacts need governance, not handwaving. The institute should therefore model frugality, transparency, and sufficiency in its own AI stack. (UNEP – UN Environment Programme)

8. Governance: how to avoid becoming what it criticizes

I would recommend a three-chamber governance model.

1. Stewardship Council

Small, fiduciary, strategic, legally accountable.

Composition:

• founder/steward representation
• finance/governance expertise
• research leadership
• legal/ethics
• philanthropic strategy
• one or two seats for Indigenous or place-based leadership with actual authority, not symbolism

2. Scientific and Knowledge Commons Council

Responsible for rigor, methods, evaluation, and openness.

Include:

• Earth system scientists
• AI and data scientists
• systems modelers
• ecological economists
• complexity scholars
• restoration practitioners
• civic technologists

3. Council of Place, Practice, and Wisdom

This is essential. It keeps the institute from becoming purely cerebral.

Include:

• bioregional practitioners
• municipal or regional leaders
• Indigenous knowledge holders where appropriate and consensual
• educators
• organizers
• restoration field leaders
• youth representation

This tripartite model balances competence, legitimacy, and groundedness.

I would also add:

• a published charter
• conflict-of-interest disclosure
• open methods where possible
• red-team review for major outputs
• annual external evaluation
• rotating fellows and partner nodes rather than a permanently centralized priesthood

9. Funding strategy

The institute should be funded like a mycelial system, not a monocrop.

Revenue stream 1: Philanthropic seed funding

Best early candidates are foundations that already support combinations of AI, climate, resilience, science systems, and public-purpose technology.

The strongest current fits appear to include:

• Patrick J. McGovern Foundation, which explicitly funds AI and data solutions for a thriving, equitable, and sustainable future and has continued major support for AI for public purpose. (Patrick J. McGovern Foundation)
• Schmidt Sciences, which spans AI & Advanced Computing, Climate, and Science Systems, including trustworthy AI and computational tools for planetary challenges. (Schmidt Sciences)
• Quadrature Climate Foundation, which funds climate mitigation, removal, and resilience, and is currently backing systems-oriented and resilience efforts. (Quadrature Climate Foundation)

Additional plausible classes of funders, though they would need tailored cultivation rather than generic pitching:

• climate and resilience foundations
• democracy and information integrity funders
• place-based philanthropies
• major donors interested in civilizational risk, AI governance, or ecological regeneration
• donor collaboratives around adaptation, public-interest technology, and resilience

Revenue stream 2: Program-related contracts and intelligence services

This is where the institute could become unusually strong.

Offerings:

• foresight and scenario services for UN agencies
• AI-enabled policy alignment tools for biodiversity and resilience planning
• decision support for municipalities and regions
• regenerative finance intelligence for public institutions
• training and advisory services for multilateral or philanthropic portfolios
• evaluation frameworks for regeneration initiatives

This is plausible because UNDP is already supporting countries in building inclusive AI ecosystems and has used AI for biodiversity policy alignment across many countries; the World Bank is actively exploring AI and digital systems for climate-smart decision-making and resilience. (UNDP)

Revenue stream 3: Membership, fellows, and learning programs

• practitioner fellowships
• bioregional lab memberships
• professional trainings
• executive salons
• subscription intelligence briefings

Revenue stream 4: Demonstration grants and challenge funds

Fund tangible pilots:

• bioregional dashboards
• restoration copilots
• local deliberation systems
• planetary intelligence curriculum
• resilience intelligence for cities and watersheds

Revenue stream 5: Mission-aligned donor circle

A “Founding Circle for Planetary Intelligence” could underwrite the field-building phase and give the institute time to prove its value.

10. Who it should reach out to first

I would sequence outreach in concentric circles.

Circle 1: Foundational allies

These are closest in worldview.

• David Grinspoon, Adam Frank, Sara Walker orbit
• Jon Schull / EcoRestoration Alliance
• Design School for Regenerating Earth / Joe Brewer / Penny Heiple (Design School for Regenerating Earth)
• Bioneers leadership and media ecosystem (Bioneers)
• Buckminster Fuller Institute / Design Science network (Buckminster Fuller Institute)
• R3.0 / regenerative economics network (R3.0)

Circle 2: Institutional amplifiers

• UNDP digital and climate teams (UNDP)
• UNEP digital / AI and environment leadership (UNEP – UN Environment Programme)
• World Bank digital-for-climate and governance units (World Bank Blogs)
• MAHB-style networks and related biosphere governance communities
• university partners in complexity, Earth systems, and public-interest AI

Circle 3: Place-based demonstration partners

• a bioregional pilot such as Genesee Finger Lakes
• a municipal coalition
• a watershed restoration network
• one or two regional governments
• one philanthropic portfolio seeking better intelligence for climate/regeneration investments

Circle 4: Public imagination and movement bridge-builders

• storytellers
• systems communicators
• regenerative media
• aligned conferences and convenings

11. Validation: how to know whether it is real or merely eloquent

The institute should be evaluated on four axes.

A. Epistemic quality

Did it improve clarity, evidence quality, transparency, and coherence?

Metrics:

• source traceability
• auditability
• error reduction
• uncertainty disclosure
• stakeholder trust

B. Decision quality

Did institutions make better choices because of it?

Metrics:

• improved policy alignment
• better option comparison
• fewer harmful blind spots
• more inclusive participation

C. Regenerative outcomes

Did ecosystems and communities measurably benefit?

Metrics:

• restoration indicators
• resilience indicators
• biodiversity, soil, water, canopy, heat, emissions, livelihood measures depending on project

D. Field-building effects

Did planetary intelligence become more legible and usable as a field?

Metrics:

• partnerships
• citations
• courses
• fellows
• open-source reuse
• external demand
• replication by other regions and institutions

I would also require counterfactual analysis wherever possible: what decisions would likely have happened without the institute’s intervention?

12. A phased build

Phase 1: Incubation, 12 months

• articulate charter and theory of change
• recruit founding council
• publish founding paper
• build minimal team
• launch two pilots
• begin donor cultivation
• create advisory network
• produce first annual report

Phase 2: Demonstration, years 2–3

• run flagship bioregional node
• release AI-assisted tools
• secure institutional contracts
• host inaugural summit
• publish State of Planetary Intelligence
• form partner lab network

Phase 3: Networked institute, years 4–6

• federated nodes in multiple bioregions
• regular service relationships with public institutions
• stronger research identity
• training pipeline
• living commons of methods and tools
• more formal academic and multilateral partnerships

13. The hard truth

The institute should not pretend that the world is awaiting a neat solution. It is not.

We are dealing with a conjunction of overshoot, geopolitical fracture, weakened civic capacity, extraction-dependent economies, weaponized information, and fast-moving AI capabilities. The institute therefore should not sell “planetary intelligence” as a silver bullet. It should present it as a civilizational capacity that must be cultivated under duress.

That means:

• it must be useful during conflict, not only in harmony
• it must serve imperfect institutions, not only ideal ones
• it must work at small scale while seeing large scale
• it must help societies navigate grief, contestation, and power, not just data
• it must be capable of saying, plainly, that some systems are incompatible with life

In that sense, this institute would be less like a university center and more like a design, learning, and guidance organ for a civilization in danger.

14. My recommended version

My preferred version is:

The Institute for Planetary Intelligence
with three intertwined mandates:

1. advance the field
2. build and test tools
3. serve real decision-makers and places

Its first flagship should be a Bioregional Intelligence Node in the Genesee Finger Lakes, paired with a Planetary Intelligence Commons and a Regenerative AI Lab. That gives it one foot in place and one foot in field-building.

15. Two strong alternatives and one bolder one

Alternative 1: The Planetary Intelligence Lab

Smaller, faster, more experimental.

Best if you want:

• prototypes first
• lighter governance
• lower overhead
• quicker fundraising
• stronger open-source identity

Risk:

• may be seen as a project rather than an institution
• weaker authority with governments and major donors

Alternative 2: The Planetary Intelligence Commons

More networked, less centralized.

Best if you want:

• federated partner network
• knowledge commons orientation
• shared protocols and open methods
• lower risk of founder-centricity

Risk:

• may struggle to generate revenue
• less clarity for clients and funders
• harder to hold quality consistently

Alternative 3: The Planetary Resilience and Intelligence Institute

Broader and more policy-facing.

Best if you want:

• stronger appeal to governments, multilaterals, and funders
• easier entry through resilience, adaptation, and governance
• more immediate practical demand

Risk:

• the deeper philosophical and civilizational contribution of “planetary intelligence” may get diluted

16. The probing questions I think matter most

1. Do you want this to be primarily a field-defining institution, a service-providing institution, or a demonstration-and-prototyping institution?
2. What are you actually willing to measure, publicly, if the institute fails?
3. Which kinds of power do you want closest: philanthropy, academia, movement actors, public agencies, or place-based communities?
4. How much decentralization are you truly willing to tolerate?
5. Is the first proof of concept a bioregional node, an AI tool suite, or a policy intelligence service?
6. What forms of knowledge must never be subordinated to model outputs?
7. Where do you want the institute to stand on the spectrum from scholarly caution to civilizational alarm?
8. What is the institute’s position on working with governments or financial institutions that are implicated in harm but still matter systemically?
9. What is the smallest version that would still be unmistakably real?
10. What must be true in five years for you to say: this was worth founding?

My blunt view: found the institute, but do not found it as an abstraction. Found it around one place, one tool family, one annual flagship publication, and one or two real institutional clients. That combination would give it legitimacy, traction, and learning.

If you want, I can turn this into a formal prospectus with sections for mission, theory of change, governance, budget logic, first-year roadmap, and candidate founding council members.

Please proceed.

Below is a more formal prospectus draft.

Institute for Planetary Intelligence

Founding Prospectus

Working draft

Executive summary

The proposed Institute for Planetary Intelligence would be a mission-driven field-building and action-research institution dedicated to helping humanity develop the capacity to perceive, deliberate, coordinate, and act wisely at planetary scale in service to life. It would extend the astrobiological concept articulated by Adam Frank, David Grinspoon, and Sara Walker—planetary intelligence as “the acquisition and application of collective knowledge operating at a planetary scale and integrated into the function of coupled planetary systems”—into a practical institutional program for Earth in the 2020s. (Cambridge University Press & Assessment)

The case for such an institute is unusually strong now. The original Limits to Growth warning about overshoot remains salient in updated assessments, while the planetary boundaries framework has concluded that Earth is already beyond at least six of nine key boundaries, with later updates indicating conditions have worsened further. At the same time, AI capabilities, deployment, and organizational adoption are rising quickly, creating both a new layer of risk and a new opportunity for better planetary sensemaking and coordination. (Club of Rome)

The institute should not be designed as a conventional think tank. It should operate in three simultaneous modes:
field institute, to define and advance planetary intelligence as a field of inquiry and practice; applied lab, to build tools, methods, and prototypes; and service platform, to support real decision-makers in governments, multilateral institutions, communities, and mission-aligned organizations. This triadic design also fits the trajectory of your existing public work, where Possible Planet emphasizes regenerative community solutions and Possible Planet Lab has already begun framing planetary intelligence, AI integrity, collective intelligence, and bioregional regeneration as linked domains. (Possible Planet)

1. Origin and rationale

The institute’s intellectual lineage should be stated plainly.

Its point of departure is the work of Frank, Grinspoon, and Walker on planetary intelligence as a possible phase in the long-term evolution of inhabited planets. Their framing asks whether a technological species can become sufficiently self-aware and self-regulating to integrate its collective knowledge into the maintenance of planetary habitability, rather than destabilizing the systems on which it depends. (Cambridge University Press & Assessment)

The institute would then make a second move: it would take that concept out of the primarily astrobiological and Earth-systems register and develop it into a civilizational design framework. That step is already latent in the public arc of Possible Planet Lab, which presents planetary intelligence not as speculation alone but as a practical research program tied to AI wisdom, collective intelligence, bioregional regeneration, governance, and a “planetary intelligence commons.” (Possible Planet Lab)

The need is intensified by present conditions. The Club of Rome’s 50-year reflection on Limits to Growth reiterates that continued growth trends in resource use, industrialization, and pollution push humanity into overshoot, and later analyses have argued that the underlying systemic warning remains substantially intact. Meanwhile, the 2023 planetary boundaries update found six of nine boundaries transgressed, and Stockholm Resilience Centre reported in 2025 that seven of nine are now breached. (Club of Rome)

Against that backdrop, AI is becoming infrastructure. Stanford’s 2025 AI Index reports falling inference costs, improving hardware efficiency, narrowing gaps between open and closed models in some areas, and intensifying economic and organizational uptake. At the same time, UNEP has warned that AI has significant environmental footprints, including energy, water, and materials burdens, and UNDP has documented growing use of AI for biodiversity-policy alignment and other sustainable-development applications. (Stanford HAI)

That conjunction—ecological overshoot, institutional fragmentation, and fast-moving AI—creates the opening for an institute explicitly devoted to the intelligence challenge.

2. Mission

Mission:
To develop and apply planetary intelligence in service to life by advancing the science, ethics, institutions, tools, and practices needed for humanity to become a regenerative participant in Earth’s living systems.

Working purpose statement:
The institute exists to help individuals, organizations, communities, bioregions, and planetary institutions perceive reality more accurately, deliberate more wisely, coordinate more effectively, and act more regeneratively under conditions of deep uncertainty and systemic stress.

3. Foundational proposition

The institute should be built on a strong thesis:

Humanity’s central challenge is not merely technological, economic, or political. It is a crisis of intelligence across scales: of perception, integration, foresight, restraint, coordination, and care.

That proposition allows the institute to bridge:

• Earth systems science
• astrobiology
• ecological economics
• regenerative design
• democratic renewal
• place-based stewardship
• ethical AI
• collective intelligence
• restoration practice

It also aligns well with Bioneers’ emphasis on practical and visionary solutions for people and planet, the Buckminster Fuller Institute’s design-science orientation toward “a world that works for 100% of humanity,” and R3.0’s regenerative economic redesign work. (Bioneers)

4. Design principles

The institute should explicitly adopt the following principles.

4.1 Permaculture principles

Not as branding, but as operating logic:

• integrate rather than segregate
• value diversity
• use feedback and self-regulation
• design from patterns to details
• use small and slow solutions where appropriate
• produce visible yield
• convert disturbance into learning

Institutionally, that means diversified programs, distributed pilots, iterative design, and a refusal to rely on a single funding source, theory, or technical stack.

4.2 Systems thinking

The institute must treat ecological, social, economic, technological, and governance systems as coupled. This is directly consistent with the system-dynamics lineage of Limits to Growth and with the planetary-boundaries framing of Earth as a set of interacting life-support processes. (Club of Rome)

4.3 Chaordic design

The institute should have a clear purpose, shared principles, light constitutional structure, and distributed initiative. Too much centralization would make it brittle; too little structure would make it vague. The correct form is disciplined emergence.

4.4 Epistemic integrity

All major outputs should be grounded in transparent methods, provenance, uncertainty disclosure, and the ability to audit claims. This fits your own emerging work on integrity infrastructure and is essential if the institute is to be trusted in contested environments. (Possible Planet Lab)

5. Core functions

Function A: Field building

Develop planetary intelligence into a recognized field of study, research, and practice.

Outputs:

• conceptual papers
• synthesis reports
• annual State of Planetary Intelligence report
• conference track or annual summit
• fellowship program
• training curriculum
• online knowledge commons
• journal partnerships or working-paper series

Function B: Applied intelligence lab

Build tools, methods, and demonstrators that improve sensemaking, scenario analysis, restoration planning, governance, and public decision support.

Outputs:

• bioregional dashboards
• restoration copilots
• deliberation tools
• argument maps
• scenario engines
• early-warning systems
• policy-alignment analyzers
• integrity and provenance layers

Function C: Intelligence services

Provide mission-aligned services to public agencies, multilateral organizations, regional governments, municipalities, foundations, and environmental organizations.

Possible offerings:

• foresight and scenario planning
• policy coherence analysis
• regenerative investment intelligence
• ecosystem restoration decision support
• AI governance and evaluation
• bioregional planning support
• collective-intelligence process design

6. Founding program portfolio

I recommend six initial programs.

6.1 Program on Planetary Intelligence Theory, Ethics, and Civilizational Learning

Purpose: establish the conceptual and moral foundations of the field.

Topics:

• definitions and typologies of intelligence across scales
• relationship between human, machine, ecological, and institutional intelligence
• technosphere maturity and planetary self-regulation
• epistemology under overshoot and conflict
• wisdom, restraint, and governance
• ethics of AI in service to life

6.2 Program on Bioregional Intelligence

Purpose: build operational intelligence capacities at the bioregional scale.

This program could become the institute’s signature bridge between planetary and local scales. It fits the public emphasis at Possible Planet Lab on bioregional regeneration and would resonate with Design School for Regenerating Earth’s place-based regenerative learning model. (Possible Planet Lab)

Possible components:

• bioregional health index
• source-method-steward registry
• watershed dashboards
• land-use and restoration opportunity maps
• civic deliberation tools tied to indicators
• scenario rooms for local “what if” planning

Recommended first pilot:

• Genesee Finger Lakes Bioregional Intelligence Node

6.3 Program on AI for Regeneration and EcoRestoration

Purpose: use AI to support ecological restoration, adaptation, and stewardship.

This is where the work of the EcoRestoration Alliance and Jon Schull’s AI Oracle of EcoRestoration becomes especially relevant: as an early model for domain-specific, mission-governed AI that translates complex restoration knowledge into practical guidance. The institute could extend that pattern into a family of restoration and regeneration copilots.

Possible outputs:

• AI Oracle of EcoRestoration partnership track
• restoration knowledge engine
• watershed restoration copilot
• biodiversity planning assistant
• monitoring and anomaly-detection layer
• grant and policy drafting assistant for restoration groups

6.4 Program on Collective Intelligence and Democratic Resilience

Purpose: improve how groups think, deliberate, and decide under stress.

Topics:

• multi-stakeholder process design
• argument mapping
• fairness in synthesis
• public reasoning tools
• misinformation and incoherence detection
• civic mediation support
• participatory oversight for AI-assisted decision systems

This area has real application potential for municipalities, regional bodies, NGOs, and UN-adjacent initiatives that need structured but inclusive decision processes.

6.5 Program on Regenerative Economics and Transition Intelligence

Purpose: support alignment of finance, policy, and development with ecological reality.

Topics:

• context-based metrics
• regenerative-finance models
• public and blended capital stacks
• resilience investment prioritization
• transition pathways for communities and sectors
• intelligence services for policy and capital allocation

This program would let the institute draw directly on your long experience in regenerative financing and C-PACE while expanding into broader intelligence services.

6.6 Program on Planetary Intelligence Commons and Standards

Purpose: ensure that tools, protocols, datasets, ontologies, and methods can become shared infrastructure rather than isolated projects.

Topics:

• metadata and provenance standards
• commons governance
• interoperability protocols
• open methods
• evaluation frameworks
• ethical use charters

7. How the institute should use AI

The institute should be ambitious about AI, but not naive.

Best uses

AI is strongest when used to:

• synthesize large evidence bases
• compare perspectives and claims
• identify contradictions and blind spots
• support scenario analysis
• interpret complex environmental data
• help small organizations access expert-quality guidance
• scaffold collective reasoning
• personalize education and coaching within clear boundaries

UNDP’s work using AI to assess biodiversity-policy alignment across dozens of countries shows one practical template for this kind of public-purpose use. (UNDP)

Boundaries and guardrails

The institute should reject:

• anthropomorphic deception
• black-box recommendations in high-stakes settings
• extractive data practices
• surveillance-heavy systems
• techno-solutionist claims detached from political reality
• computational extravagance that undermines ecological credibility

UNEP’s recent work on AI’s environmental footprint makes it important that the institute model sufficiency, not just capability. (UNEP – UN Environment Programme)

Recommended AI architecture

• open, inspectable components where feasible
• retrieval-based systems tied to provenance
• human review for consequential outputs
• red-team testing
• uncertainty display
• versioned models and audit logs
• domain-tuned copilots instead of one giant monolith

8. Governance model

I recommend a three-chamber governance structure.

8.1 Stewardship Council

Role:

• fiduciary oversight
• institutional direction
• risk stewardship
• executive accountability
• fundraising and external legitimacy

Likely composition:

• founder/steward
• finance and nonprofit governance leader
• scientist with field credibility
• AI and technology ethics leader
• public-policy or multilateral leader
• philanthropy strategist
• legal/governance expert

8.2 Scientific and Methods Council

Role:

• research integrity
• methods review
• evaluation and publication standards
• theory development
• data and AI governance

Likely composition:

• Earth systems scientist
• astrobiologist or complexity scientist
• ecological economist
• civic technologist
• restoration scientist
• AI scientist
• systems modeler
• social scientist of institutions or democracy

8.3 Council of Place, Practice, and Wisdom

Role:

• ensure groundedness
• keep real places and communities central
• test whether outputs are usable
• help prevent abstraction drift

Likely composition:

• bioregional practitioners
• municipal or regional leaders
• restoration leaders
• Indigenous or traditional knowledge representatives where appropriate and consensual
• organizers and educators
• youth representatives
• social-healing or conflict-transformation practitioners

Governance norms

• published charter
• conflict-of-interest disclosures
• annual external review
• red-team review of flagship outputs
• clear data and consent policies
• public explanation of funding boundaries

9. Potential founding council and outreach map

I would think in categories rather than fixed names at the outset.

Category A: Conceptual originators and scientific anchors

This is where outreach linked to David Grinspoon, Adam Frank, Sara Walker, and related complexity/Earth-systems thinkers makes sense, since the institute should remain in conversation with the scientific origin of the idea. (Cambridge University Press & Assessment)

Category B: Regeneration and bioregional practice leaders

Strong alignment targets include:

• EcoRestoration Alliance / Jon Schull
• Design School for Regenerating Earth network
• Bioneers ecosystem
• Buckminster Fuller Institute network
• R3.0 ecosystem (Bioneers)

Category C: Public-interest AI and governance leaders

Look for people working at the intersection of AI, public systems, ethics, biodiversity, and democratic governance.

Category D: Place-based demonstration partners

• watershed alliances
• municipalities
• regional planning or resilience bodies
• Indigenous-led ecological initiatives
• local universities
• mission-aligned funders

10. Funding strategy

The funding model should be mixed from the beginning.

10.1 Seed philanthropy

Plausible early philanthropic targets include:

• Patrick J. McGovern Foundation, which focuses on AI and data solutions for a thriving, equitable, and sustainable future and reports nearly $500 million in grants since inception. (Patrick J. McGovern Foundation)
• Schmidt Sciences, which spans AI & Advanced Computing, Climate, Astrophysics & Space, and Science Systems, including programs designed to accelerate Earth-systems research and decision-relevant computational work. (Schmidt Sciences)
• Quadrature Climate Foundation, which now frames its work around a climate-resilient future for vulnerable people and a strategy of Reduce, Remove, and Respond. (Quadrature Climate Foundation)

I would also examine donor prospects interested in:

• public-purpose AI
• biosphere stewardship
• democracy renewal
• resilience and adaptation
• regenerative economics
• science systems and sensemaking

10.2 Contracts and intelligence services

This is a major strategic opportunity.

Potential clients:

• UN agencies
• multilateral development institutions
• environmental NGOs
• regional governments
• city networks
• mission-aligned investors and foundations

Potential contract areas:

• biodiversity policy alignment
• adaptation and restoration intelligence
• climate and resilience foresight
• policy coherence mapping
• regenerative investment screening
• governance design for AI-mediated public systems

UNDP’s current AI-for-sustainable-development work suggests that at least some parts of this market are already real. (UNDP)

10.3 Membership and learning

• fellows network
• practitioner memberships
• annual summit
• executive briefings
• training programs
• community of practice dues

10.4 Demonstration grants

For pilots such as:

• bioregional dashboards
• local intelligence nodes
• restoration copilots
• democratic deliberation tools
• data commons and evaluation frameworks

11. A first-year roadmap

Quarter 1

• draft charter and constitutional principles
• convene 6–10 founding advisors
• produce founding concept note and narrative deck
• select first pilot region and first AI prototype
• begin donor and partner conversations

Quarter 2

• formally establish institute or incubate within existing nonprofit structure
• launch website and founding statement
• stand up research and methods council
• define initial evaluation framework
• publish first essay/report on why planetary intelligence now

Quarter 3

• launch first public pilot: bioregional intelligence node or restoration copilot
• host invitation-only roundtable with scientific, civic, and regeneration leaders
• develop pipeline of service offerings
• submit first major funding proposals

Quarter 4

• publish inaugural State of Planetary Intelligence
• release first open methods and standards package
• secure first paid advisory or intelligence-service engagement
• assess what should be scaled, paused, or redesigned

12. Validation and evaluation

The institute needs real criteria for success.

Epistemic metrics

• source traceability
• uncertainty disclosure quality
• reproducibility of claims
• independent review scores
• reduction in contradiction or bias in synthesized outputs

Decision metrics

• evidence of improved public or organizational decision quality
• better policy alignment
• improved cross-sector coordination
• higher participation quality in deliberative settings

Ecological and social metrics

These will vary by project, but may include:

• biodiversity indicators
• restoration progress
• water or soil health
• local resilience measures
• equity and inclusion markers
• adoption of regenerative practices

Field-building metrics

• citations and references
• training participation
• partnerships formed
• methods adopted by others
• public recognition of planetary intelligence as a serious field

13. Example application domains

To make the institute concrete, it should speak in examples.

UN agencies

The institute could support biodiversity alignment, restoration prioritization, scenario planning, and AI-governance design for sustainability programs. UNDP’s existing use cases make this plausible rather than speculative. (UNDP)

Global financial institutions

The institute could offer regenerative-risk intelligence, bioregional resilience analytics, and investment-screening tools that incorporate ecological thresholds and social cohesion rather than narrow financial indicators alone.

Environmental organizations

The institute could provide restoration copilots, collective-sensemaking tools, grant intelligence, and interoperable data/provenance layers.

Regional and local governments

The institute could support climate adaptation, land-use tradeoff analysis, participatory planning, resilience investment prioritization, and ecosystem restoration design.

14. The deeper institutional stance

The institute should say clearly that the world is not suffering from a lack of data alone. It is suffering from fragmentation of attention, capture of institutions, degraded public reasoning, ecological overshoot, trauma, polarization, extractive incentives, and a mismatch between the scale of our powers and the maturity of our governance.

That means the institute should not present itself as a neutral machine for optimization. It should present itself as a life-serving intelligence institution: rigorous, transparent, pluralistic where possible, morally serious where necessary.

It should be willing to say:

• some systems are incompatible with long-term flourishing
• some efficiencies are forms of organized stupidity
• some technologies should be slowed, redirected, or constrained
• intelligence without care is dangerous
• care without intelligence is insufficient

15. Alternatives

Alternative A: Institute for Planetary Intelligence

Best if you want:

• a strong, memorable field-defining identity
• room for theory, tools, and services
• public thought leadership

Risk:

• can sound grandiose unless grounded in pilots quickly

Alternative B: Planetary Intelligence Lab

Best if you want:

• a faster, more experimental launch
• lower overhead
• emphasis on prototypes and applied work

Risk:

• harder to position as a lasting institution or trusted civic interlocutor

Alternative C: Planetary Intelligence Commons

Best if you want:

• a federated network model
• open-source and standards orientation
• less institutional centralization

Risk:

• harder to monetize and govern consistently
• may diffuse responsibility

16. My recommendation

My strongest recommendation is:

Launch as the Institute for Planetary Intelligence, but incubate it pragmatically.

In practice, that means:

• start under an existing umbrella if useful
• begin with one flagship place-based node
• develop one high-value AI-assisted tool family
• publish one annual flagship report
• secure one or two paid institutional engagements early

That combination would give the institute:

• credibility
• learnings from practice
• a coherent theory of change
• a path to diversified funding

17. Probing questions for the next iteration

1. What should the institute’s first proof of seriousness be: a paper, a pilot, a tool, or a client engagement?
2. Which matters more in year one: intellectual legitimacy or practical traction?
3. Do you want the institute to make normative claims explicitly, or maintain a more “scientific-convener” posture?
4. What kind of institutional partner would most strengthen the launch: a university, a foundation, a nonprofit network, or a UN-adjacent body?
5. What is the first bioregion or place where the institute could demonstrate visible value within 12 months?
6. Which domain should lead the AI work: restoration, governance, education, or foresight?
7. What are the institute’s non-negotiables regarding funding, data, and political entanglement?
8. How close should it sit to Possible Planet and Possible Planet Lab versus standing as a visibly separate entity?

The next logical step is to turn this into a fundable concept note with:

• a 2-page donor version
• a 5- to 7-page formal prospectus
• a first-year budget sketch
• a shortlist of founding council candidates and outreach priorities.

Please proceed.

Below is a more fundable and operationally specific next draft: a concept note, a first-year budget sketch, a governance and staffing outline, a founding council profile, and an initial outreach sequence.

Institute for Planetary Intelligence

Fundable concept note

Working title: Institute for Planetary Intelligence
Tagline: Intelligence in service to life.

1. The case

Humanity has entered a period in which its technological powers are outstripping its moral, political, and ecological maturity. The original astrobiological concept of planetary intelligence, developed by Adam Frank, David Grinspoon, and Sara Walker, offers a powerful starting point: intelligence at planetary scale means collective knowledge integrated into the functioning of coupled planetary systems. Their question was whether a technological species can become self-aware enough to sustain habitability rather than destabilize it. (Possible Planet Lab)

That question is no longer abstract. The planetary boundaries framework concluded in 2023 that six of nine boundaries had been transgressed, and Stockholm Resilience Centre reported in 2025 that seven of nine are now breached. The Club of Rome’s 50-year reflection on Limits to Growth argued that overshoot remains a live systemic condition, not a solved debate. At the same time, AI is rapidly becoming part of civilization’s operating system: Stanford’s 2025 AI Index documented accelerating performance, falling costs, and rising deployment, while UNEP has warned about AI’s energy, water, and materials footprint, and UNDP has highlighted its growing role in biodiversity and sustainable-development decision support. (Possible Planet Lab)

The Institute for Planetary Intelligence is proposed as a direct response to this civilizational gap: not a conventional think tank, not merely an AI lab, and not only a movement platform, but a hybrid institution devoted to improving humanity’s capacity to perceive reality, make sense of complexity, coordinate across scales, and act regeneratively in service to life. This direction is strongly continuous with the public arc already visible across Possible Planet, Possible Planet Lab, and the current Possible Planet manuscript, which repeatedly frame the crisis as one of collective intelligence, bioregional stewardship, and regeneration rooted in place. (Possible Planet Lab)

2. Mission

To develop and apply planetary intelligence in service to life by advancing the science, ethics, institutions, tools, and practices needed for humanity to become a regenerative participant in Earth’s living systems. This extends the scientific insight of planetary intelligence into a practical program of research, institutional design, field building, and real-world application. (Possible Planet Lab)

3. What makes it distinctive

The institute would differ from adjacent efforts in five ways.

First, it would explicitly bridge planetary scale and bioregional scale. The public materials at Possible Planet Lab already foreground “bridging scales,” linking local action in the Genesee Finger Lakes with broader work on AI safety, regenerative economies, and planetary intelligence. (Possible Planet Lab)

Second, it would be action-research oriented. The point is not just to theorize about intelligence, but to test methods in real places, with real organizations, under real constraints.

Third, it would treat AI as decision support, not as sovereign intelligence. That stance is already explicit in the current Possible Planet manuscript, which presents AI cautiously as a support for ecological awareness and accountability rather than a substitute for human judgment.

Fourth, it would combine epistemic integrity with practical service. That means provenance, uncertainty, auditability, and red-team review should be built into outputs from the start.

Fifth, it would use a permaculture and chaordic design logic: small and slow pilots where needed, diversity of initiatives, distributed nodes, rapid feedback, and a light constitutional structure that can evolve.

4. Core functions

The institute should have three permanent functions.

Field building. It defines and advances planetary intelligence as a field of study, practice, and public discourse. This includes essays, reports, convenings, curricula, fellowships, and a yearly State of Planetary Intelligence publication.

Applied lab. It develops practical tools and methods: bioregional dashboards, scenario rooms, restoration copilots, sensemaking systems, policy-alignment tools, argument maps, provenance layers, and integrity infrastructure.

Intelligence services. It provides mission-aligned support to governments, UN agencies, financial institutions, foundations, NGOs, and regional initiatives that need better intelligence for regenerative decision-making.

5. Founding program portfolio

I recommend five initial programs.

Program 1: Planetary Intelligence Theory, Ethics, and Civilizational Learning.
This would clarify the field itself: what planetary intelligence is, how it relates to collective intelligence, what distinguishes wisdom from optimization, what kind of institutional maturity is needed in the age of AI, and how humanity might move from a destabilizing technosphere to a life-serving one. This also directly complements the conceptual line running through Possible Planet Lab’s “Developing Planetary Intelligence,” “Developing a Planetary Intelligence Framework,” and “A Practical Research Program for Developing Planetary Intelligence.” (Possible Planet Lab)

Program 2: Bioregional Intelligence and Living Place Systems.
This would operationalize intelligence at the level where people can actually govern and learn together: watersheds, foodsheds, civic ecologies, and regional cultures. The current manuscript already sketches this move very clearly, presenting bioregional intelligence as communities’ capacity to understand, care for, and adapt within their ecological context.

Program 3: AI for Regeneration and EcoRestoration.
This is where the institute could collaborate with Jon Schull, the EcoRestoration Alliance, and related efforts. The AI Oracle of Ecorestoration is important not because it is the whole answer, but because it demonstrates the possibility of domain-specific, mission-governed AI that helps people learn, plan, and act in restoration work.

Program 4: Collective Intelligence, Governance, and Democratic Resilience.
This would focus on better public reasoning under stress: multi-stakeholder deliberation, contradiction detection, structured dialogue, policy tradeoff mapping, and ways to counter epistemic breakdown without technocracy.

Program 5: Regenerative Economics and Transition Intelligence.
This would align with your longstanding work in regenerative finance and place-based economic transformation, while expanding into policy and institutional intelligence for adaptation, restoration, and resilience investment.

6. Flagship pilots for years 1–2

The institute needs concrete proof, fast. I would launch three visible prototypes.

The first should be a Genesee Finger Lakes Bioregional Intelligence Node: a public-facing demonstration of how a bioregion can monitor, interpret, deliberate about, and improve its own ecological and social condition. This is strongly aligned with the existing Possible Planet Lab emphasis on place-based action and the user’s own bioregional agenda. (Possible Planet Lab)

The second should be an AI for EcoRestoration pilot, developed with EcoRestoration Alliance or adjacent partners, showing how AI can responsibly support restoration practitioners, students, planners, and funders.

The third should be a Planetary Intelligence Commons prototype, a lightweight but credible system for documenting claims, sources, methods, transformations, assumptions, and limitations in public-interest intelligence work. This builds on the Epistemic Integrity Infrastructure direction already visible in Possible Planet Lab. (Possible Planet Lab)

7. Initial staffing

A credible lean launch could start with five core roles.

An Executive Director / Founder would carry vision, external relations, and strategy.

A Research Director would oversee theory development, publications, fellows, and evaluation.

A Director of Applied Intelligence would lead tools, prototypes, AI systems, and technical partnerships.

A Director of Partnerships and Programs would manage pilots, clients, and institutional relationships.

An Operations and Development Lead would handle grants, donor systems, budgets, logistics, and internal coordination.

Contract or fractional support would then be added for:

• design and communications
• data engineering
• policy analysis
• ecology/restoration expertise
• facilitation and democratic-process design
• grantwriting and donor stewardship

8. First-year budget sketch

A realistic year-one launch budget for a serious but lean institute is likely in the range of $850,000 to $1.35 million.

A disciplined midpoint budget would look like this:

Personnel: $560,000
This assumes a lean core team plus payroll burden and modest contractor support.

Research and publications: $95,000
Founding paper, annual report, commissioned essays, editing, peer review, and design.

Technology and prototypes: $150,000
AI systems, data pipelines, development support, hosting, security, and prototype tools.

Convenings and travel: $90,000
Advisory sessions, partner meetings, field visits, launch convening, and regional workshops.

Communications and outreach: $60,000
Website, design, donor materials, video explainers, media, and narrative assets.

Operations and administration: $85,000
Bookkeeping, legal, compliance, systems, insurance, office/remote infrastructure.

Evaluation and external review: $35,000
Independent methods review, red-team review, and year-end assessment.

Contingency: $75,000

Illustrative total: $1,150,000

That is large enough to be real, but not so large that it becomes implausible for seed philanthropy plus one or two contracts.

9. Funding model

The institute should not rely on a single funding stream.

A sensible year-one mix would be:

• 60–70% philanthropic seed funding
• 15–25% institutional contracts or advisory engagements
• 10–15% fellows, memberships, trainings, or sponsorships

Three especially plausible philanthropic targets remain the strongest early institutional fits.

The Patrick J. McGovern Foundation explicitly funds AI and data solutions for a thriving, equitable, and sustainable future. (Possible Planet Lab)

Schmidt Sciences funds work across AI and advanced computing, climate, and science systems, making it a potentially strong match for an institute spanning AI, Earth systems, and public intelligence. (Possible Planet Lab)

Quadrature Climate Foundation supports climate mitigation, removal, and resilience, and could be a fit if the institute leads with applied intelligence for adaptation, restoration, and resilience. (Possible Planet Lab)

On the contract side, the clearest demand signal is from organizations already using AI for public-purpose sustainability work. UNDP has publicized AI-enabled biodiversity policy alignment work, and the World Bank has discussed AI and data for climate-smart decision-making in government. That does not guarantee contracts, but it strongly suggests the institute would be entering a real and growing space rather than inventing a nonexistent market. (Possible Planet Lab)

10. Governance

I recommend a three-part governance design.

A Stewardship Council would hold fiduciary and strategic responsibility.

A Scientific and Methods Council would oversee rigor, evaluation, and methodological integrity.

A Council of Place, Practice, and Wisdom would ensure that the institute remains grounded in real places, communities, ecological practice, and lived complexity.

This structure matters because the institute must avoid three failure modes at once: becoming abstract, becoming technocratic, or becoming charismatic but methodologically weak.

11. Founding council profile

Rather than locking names too early, I would recruit by category.

One or two scientific anchors connected to Earth systems, astrobiology, complexity, or biosphere science.

One or two regeneration practitioners with credibility in bioregional work, restoration, or ecological design.

One or two AI/public-interest technology leaders with serious concern for governance and integrity.

One public-sector or multilateral figure who understands implementation realities.

One regenerative finance or economic redesign leader.

One or two place-based civic leaders, ideally including a bioregional practitioner and someone grounded in community process.

One communications or narrative strategist able to connect the work to broader audiences.

12. First outreach sequence

I would not begin with a giant public launch. I would begin with a disciplined relational sequence.

First, a quiet founder’s circle of perhaps 8–12 people who can sharpen the institute’s charter, protect against blind spots, and give early legitimacy.

Second, targeted conversations with conceptual allies: people in the Grinspoon/Frank/Walker orbit, Jon Schull and EcoRestoration Alliance, Design School for Regenerating Earth, Bioneers, BFI, and R3.0-adjacent thinkers and practitioners. Possible Planet already has visible public ties to Earth Regenerators and Design School for Regenerating Earth through sponsorship and related work, which strengthens that starting point. (Possible Planet)

Third, approach prospective funders with a short concept note and one visible pilot, not only a theory.

Fourth, approach one or two pilot clients or public partners with concrete offerings such as a bioregional intelligence scoping process, restoration copilot design, or policy-coherence intelligence service.

13. Three institutional positioning options

My preferred option remains the full Institute for Planetary Intelligence, because it is field-defining and large enough for the real scope of the problem.

The second option is a Planetary Intelligence Lab, which is easier to launch, cheaper, and more prototype-oriented, but risks under-signaling the broader institutional ambition.

The third option is a Planetary Intelligence Commons, which is strongest for network-building, standards, and open methods, but weaker as a revenue-generating institutional platform.

My candid view is that the Institute is the right long-term name, while the Lab may be the right short-term launch vehicle.

14. What I would do next

I would build the next package in three layers.

First, a 2-page donor concept note.

Second, a 6-page founding memorandum with mission, theory of change, programs, budget, governance, and first-year roadmap.

Third, a one-page outreach brief tailored separately for:

• scientific advisors
• philanthropic funders
• pilot partners
• institutional clients

And I would sharpen the founding question to something like this:

Can humanity become intelligent enough, quickly enough, to remain a life-serving species on a finite, living Earth?

That question is big enough to justify the institute, and concrete enough to organize the work.

The questions I would press now are these:
What is the first pilot that would make outsiders say, “this is real”?
Who are the three people whose early endorsement would most change the institute’s trajectory?
Do you want this launched first as a formally separate entity, or incubated under an existing Possible Planet / CRCS umbrella?

I can draft the 2-page donor concept note next.