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The 100 as a question constellation

Explore a provisional intellectual portfolio through the questions each person’s inspected work may help us test.NOT RANKED · NOT AN ADVISORY BOARD · INCLUSION DOES NOT IMPLY PARTICIPATION, ENDORSEMENT, ADVICE OR AFFILIATION
One dotOne thinker whose published work we inspected.
One circleOne family of questions IoV must be able to answer.
Ember dotOne of the first 25 chosen for deeper review. It is not a rank.
100 of 100 shown
01Q01Q02Q0302Q04Q05Q0603Q07Q08Q09Q1004Q11Q12Q13Q1405Q15Q16Q17Q1806Q19Q20Q21Q2207Q23Q24Q2508Q26Q27Q2809Q29Q30No primary placement55 thinkers still map here
Each circle is a question family. Click any Q code for its definition. The empty Q29–Q30 circle is intentional: 55 thinkers map to those questions, but no one is placed there as their primary cluster.

How to read it

Nine kinds of pressure on one proposal.

Primary cluster is the canonical question family with the greatest number of distinct inspected question mappings; ties follow canonical family order. “Primary” only controls where a dot is placed; it does not mean a thinker works on just one family.

Plain-language reference

Question and capability glossary

Questions are things the Internet of Value must be able to answer or survive. Capabilities are kinds of work a thinker has demonstrated. The codes are bookmarks, not scores.

01Ontology and conceptual distinctions

Q01

What kind of thing is “value”: a relation, state, preference, capability, welfare judgement, signal, attribution, resource or something else?

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Q02

Which concepts must remain distinct: value, utility, price, welfare, wellbeing, meaning, preference, productivity and capital?

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Q03

Is value relative to the experiencing person, observer, community or institution, or is some component claimed to be observer-independent?

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02Time

Q04

What role does human time play: input, scarce resource, opportunity cost, exposure, state variable, budget constraint or accounting unit?

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Q05

How should heterogeneous hours be compared across people, activities, skill, intensity, context, voluntariness and life stage?

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Q06

Under what mathematical and normative conditions can time-based value be aggregated across episodes and people?

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03Human state and wellbeing

Q07

Should wellbeing W be represented as a scalar, multidimensional vector, latent variable, capability set, dynamic state-space or probability distribution?

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Q08

What is the causal structure among physiology → affect/emotion → felt experience → cognition → habit/action → performance, and which arrows are bidirectional?

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Q09

What timescales, memory effects, adaptation processes and delays govern changes in wellbeing?

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Q10

Which effects vary by person, culture and context, and which are sufficiently stable to support generalisation?

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04Measurement

Q11

How would W, Vcom, or other IoV constructs be operationalised with evidence of construct validity?

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Q12

Do measurements remain invariant across groups, languages, cultures, contexts and time?

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Q13

What biases enter through self-report, observers, sensors, platforms, incentives, missing data and selection?

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Q14

Which latent quantities and causal parameters are actually identifiable from available observations, and how does uncertainty propagate?

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05Dynamics and aggregation

Q15

What are the actual state variables, stocks, flows, auxiliary variables, feedback loops and exogenous drivers?

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Q16

Through what mechanisms do individual states become community, institutional and economic outcomes?

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Q17

Where is the system boundary, which variables are endogenous, and how sensitive are conclusions to alternative boundaries?

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Q18

Where should we expect nonlinearities, thresholds, tipping behaviour, hysteresis, path dependence and adaptation?

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06Economics and capital

Q19

How does IoV’s concept of value relate to utility, welfare, capabilities, revealed preference and subjective wellbeing?

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Q20

How should non-market work, care, public goods, commons, externalities and relational value enter the model?

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Q21

What precisely is the mechanism through which human/social value becomes economic or financial capital, and where might that conversion be a category error?

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Q22

How do inequality, ownership, bargaining power and institutional rules affect who creates, measures and captures value?

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07Institutions, power and protocol design

Q23

Who gets to define metrics, weights, thresholds and rules, and through what process can those decisions be contested?

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Q24

How does the system resist metric gaming, surveillance, coercion, discrimination and capture once measurements affect incentives?

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Q25

Can a protocol remain robust in the presence of strategic behaviour, plural values, asymmetric information and changing incentives?

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08Computation and model validation

Q26

Which model family is justified for each IoV proposition: System Dynamics, ABM, causal model, network model, state-space model, optimisation/game model or hybrid, and why?

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Q27

What data parameterise or calibrate the model, how well does it reproduce relevant behaviour, and when should it outperform competing models out-of-sample?

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Q28

Does the model pass structural, dimensional, extreme-condition, sensitivity, uncertainty and participatory validation tests?

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09Epistemology and reproducibility

Q29

What observations, interventions or competing findings would falsify, or materially weaken, each major IoV proposition, including VC = W × Vcom?

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Q30

Can an independent group inspect provenance, reproduce the analysis, fork the model, rerun it under different assumptions and publicly document disagreement?

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The 22 capabilities

C01

Systems framing & boundary critique

Defines purposes, boundaries, endogenous and exogenous variables, actors, scales and alternative framings.

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C02

Dynamics, feedback & control

Reasons about stocks, flows, feedback, delays, stability, adaptation, path dependence and control.

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C03

Mathematical formalisation

Converts propositions into variables, functions, equations, constraints and explicit assumptions.

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C04

Computational & simulation modelling

Builds and interrogates SD, ABM, discrete-event, state-space and other computational models.

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C05

Causal inference & identification

Distinguishes association from intervention effects, including confounding, counterfactuals and identification.

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C06

Statistical inference & uncertainty

Estimates parameters, uncertainty, heterogeneity and model error, with sensitivity and robustness analysis.

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C07

Measurement, psychometrics & construct validity

Defines constructs and assesses validity, reliability, invariance, response bias and measurement error.

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C08

Computational empiricism, provenance & reproducibility

Creates inspectable data and code pipelines, versioning, documentation and reproducible analyses.

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C09

Multilevel aggregation, scaling & emergence

Explains conditions for individual aggregation and nonlinear macro-level emergence.

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C10

Economics, value & welfare

Understands utility, welfare, capabilities, prices, non-market value, distribution and theories of value.

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C11

Finance, capital & systemic risk

Understands capital formation, assets, financial networks, leverage, contagion and systemic risk.

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C12

Institutions, governance & political economy

Models rules, collective action, power, incentives, state capacity, governance and distributional conflict.

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C13

Network science & collective dynamics

Analyses topology, diffusion, contagion, centrality, communities and social influence.

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C14

Complexity & agent-based reasoning

Works with heterogeneous agents, adaptation, non-equilibrium processes and evolutionary emergence.

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C15

Decision science, optimisation, games & mechanism design

Designs decisions and rules under constraints, uncertainty, incentives and strategic behaviour.

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C16

Technology, computation & AI systems

Understands platforms, AI, computational architectures, algorithms and human-technology feedback.

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C17

Neuroscience, cognition & affect

Understands physiological, neural, cognitive, emotional and embodied processes.

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C18

Behavioural science & human decision-making

Studies preference, habit, learning, bias, motivation, influence and decision behaviour.

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C19

Wellbeing & human development

Understands subjective wellbeing, flourishing, mental health, capabilities and human-development measurement.

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C20

Ethics, philosophy of science & epistemology

Separates descriptive and normative claims, examines evidence and limits of quantification.

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C21

Participatory, qualitative & field-based systems inquiry

Integrates stakeholder knowledge, field observation, qualitative evidence and competing perspectives.

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C22

Protocol, institutional & policy design / implementation

Converts insights into rules, protocols, organisations or policy and evaluates implementation feedback.

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Accessible index

The same hundred, as a list.

What this map does not prove

The constellation shows inspected relevance, not agreement, influence, rank or affiliation.A deep evidence review does not establish that IoV itself is empirically valid.Relationship links record verified coauthorship signals and do not establish intellectual dependence or independence.

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End of signal.