Research Framework

The NOMI Framework

A Four-Pillar Approach to Food System Resilience
in Climate-Exposed Communities

🌊 Nutrition as a Socioecological System 🔧 Observational Resilience 📊 Multi-Lens Equity 🌱 Inclusive Knowledge

Developed through field research in the Indian Sundarbans: one of the world's most climate-exposed food systems

The Four Pillars

NOMI captures the interconnected dimensions of food system resilience through four complementary analytical lenses.

🌊

Nutrition as a Socioecological System

NSS · 95 codes

Encompasses the ecological, agricultural, and environmental determinants of nutritional adequacy, including soil salinity impacts, crop loss, aquatic food system dynamics, and seasonal dietary variation.

🔧

Observational Resilience

OR · 75 codes

Captures community-level adaptive capacities, coping strategies, livelihood diversification, social networks, and embodied knowledge through which households navigate food system shocks.

📊

Multi-Lens Equity

MLE · 60 codes

Addresses structural inequities in food access across gender, age, caste, and economic position, including differential vulnerability of widowed women, elderly populations, and marginalised livelihood groups.

🌱

Inclusive Knowledge

IK · 87 codes

Encompasses traditional ecological knowledge, intergenerational transmission of food practices, indigenous food preservation techniques, and the interface between formal institutional knowledge and community-held expertise.

Application Workflow

Seven systematic steps to apply the NOMI framework at any climate-exposed field site.

1

Select Study Context

Identify a climate-exposed food system and define the geographic, ecological, and socioeconomic boundaries of the study site.

Field Setup
2

NOMI-Guided Data Collection

Conduct semi-structured interviews and ethnographic observation using the four-pillar interview protocol to capture multi-dimensional data.

Field Work
3

Apply Four-Pillar Coding Framework

Systematically code qualitative data across the NSS, OR, MLE, and IK pillars using the standardized NOMI codebook.

Analysis
4

Map Cross-Pillar Relationships

Identify and document thematic relationships that bridge pillars, revealing the interconnected nature of food system dynamics.

Analysis
5

Computational Community Detection

Apply Louvain/Leiden consensus community detection to reveal emergent thematic clusters and cross-pillar governance domains.

Computation
6

CQT Literature Validation

Cross-validate emergent themes against peer-reviewed literature using the Convergence-Qualification-Triangulation protocol.

Validation
7

One Health Policy Translation

Translate findings into actionable policy recommendations using the AMRP pathway and One Health governance lens.

Policy

Sundarbans Case Study

📍 Gosaba & Patharpratima, Indian Sundarbans

The NOMI framework was developed and validated through intensive field research in the Indian Sundarbans, one of the world's most climate-exposed deltaic food systems. Comparative analysis positions NOMI against 3 established frameworks: UNICEF Conceptual Framework, Social-Ecological Systems (SES), and EAT-Lancet.

44
Respondents
317
Unique Codes
19
Emergent Themes
473
Relationships Mapped
45%
Cross-Pillar Connectivity
4,533
Evidence Records
0.770
Modularity (Q)

nomi-apply

A standalone CLI tool that operationalizes the NOMI framework for new field sites.

$ nomi-apply

From Framework to Field Application

nomi-apply bridges the gap between the NOMI conceptual framework and practical field research. Import codebooks, run community detection, validate with literature, and generate policy-ready outputs.

  • 📖 Codebook Import: Load and adapt the NOMI coding framework for your study context
  • 🔗 Community Detection: Leiden algorithm clustering with modularity optimization
  • CQT Validation: Convergence-Qualification-Triangulation literature protocol
  • 🎯 AMRP Pathway: Automated policy translation through the AMRP framework
  • 📊 Interactive Dashboard: Visualize pillar networks and cross-pillar relationships
  • 📦 Export Suite: Generate publication-ready figures and structured data outputs
Request Access →
# Initialize a new NOMI study
$ nomi-apply init --site "Sundarbans"
  Created project: sundarbans-2026/
 
# Import codebook and run analysis
$ nomi-apply codebook --import nomi-standard.json
  Loaded 317 codes across 4 pillars
 
# Detect thematic communities
$ nomi-apply detect --algorithm leiden
  ✓ Found 19 communities (Q=0.770)
 
# Launch interactive dashboard
$ nomi-apply dashboard
  ✓ Dashboard running at localhost:3000
🖼 Dashboard screenshot placeholder
Interactive network visualization

Publication

Original Research

NOMI: A Four-Pillar Framework for Food System Resilience Analysis in Climate-Exposed Communities. Dialogues in Health, 2026.

Samposhyam Foundation  |  Dialogues in Health

🏛  Samposhyam Foundation, Kolkata, India