Current Research

Threshold Proximity Formalisation

Active

Development of a formal mathematical framework for threshold proximity estimation across domain classes — ecological, financial, and socio-institutional. Producing the algebraic foundations for TDR indicator architecture and TFP activation logic.

Lead: TDR Programme · Contact: research@c-eco.io

Amazon Frontier Governance Diagnostics

Active

Systematic legal and institutional mapping of the Amazon frontier governance landscape — authority structures, enforcement gaps, indigenous rights systems, and inter-institutional coordination failures. Primary input for TFP instrument design in the Amazon Living Lab context.

Lead: Amazon Living Lab · Contact: lab@c-eco.io

TFP Instrument Specification

Active

Drafting and field-testing of the first generation of TFP legal instruments — activation triggers, instrument scope, authority allocation, and deactivation conditions — for the tropical biome application context.

Lead: TFP Programme · Contact: tfp@c-eco.io

Pre-Threshold Legal Architecture

Active

Comparative legal analysis of existing legal instruments across jurisdictions for evidence of pre-threshold governance logic — identifying precedents, gaps, and design principles applicable to the c-ECO Framework's institutional architecture layer.

Lead: c-ECO Framework Programme · Contact: research@c-eco.io

Indigenous Governance & Threshold Science Integration

Active

Research programme integrating indigenous ecological knowledge systems with TDR threshold detection methods — developing hybrid monitoring frameworks that combine traditional knowledge with quantitative threshold models.

Lead: Amazon Living Lab · Contact: lab@c-eco.io

Research Approach

c-ECO research is interdisciplinary by design. The governance challenges addressed require synthesis across ecological science, legal analysis, mathematical modelling, and field ethnography. No single discipline provides sufficient analytical tools.

The research programme is structured around the iterative relationship between theoretical framework development and empirical field validation. Framework designs inform what the Amazon Living Lab measures; Lab data refines what the frameworks specify.

  • Mixed-methods: quantitative modelling + qualitative legal analysis
  • Field-validated: all models tested against Amazon Living Lab data
  • Interdisciplinary: ecology, law, mathematics, governance science
  • Applied orientation: outputs designed for institutional operationalisation
  • Open collaboration: peer review and external partnership welcomed

Research Collaboration

c-ECO welcomes research collaboration proposals from institutions and individuals with expertise relevant to threshold governance, ecological threshold science, legal architecture, or related fields. We are particularly interested in partnerships that extend the empirical or jurisdictional scope of our research.

research@c-eco.io