Interdisciplinary Research for Climate-Exposed Communities
Where Food, Nutrition
& Health Converge
We study how food safety governance, indigenous knowledge, and market systems shape nutrition outcomes in India's most vulnerable regions, and what it takes to build resilience from the ground up.
Three Core Research Streams
Each project addresses a critical dimension of India's food system challenges under the Samposhyam research program.
Food Systems Resilience Framework
A four-pillar analytic framework for understanding food system resilience in climate-exposed communities. Developed from fieldwork in the Indian Sundarbans.
Food Safety Governance
Analysis of food safety regulation and FSSAI enforcement across India. Maps governance dimensions from national policy to local implementation.
Heavy Metal Surveillance
Contaminant governance and heavy metal exposure monitoring in food supply chains. Integrates environmental science with public health policy.
Food Systems Resilience Framework
A four-pillar analytic framework for understanding food system resilience in climate-exposed communities. Developed from fieldwork in the Indian Sundarbans.
Food Safety Governance
Analysis of food safety regulation and FSSAI enforcement across India. Maps governance dimensions from national policy to local implementation.
Heavy Metal Surveillance
Contaminant governance and heavy metal exposure monitoring in food supply chains. Integrates environmental science with public health policy.
The NOMI Framework
A four-pillar analytic lens for understanding food system resilience through nutrition, resilience, equity, and indigenous knowledge.
NSS
Nutrition as a Socioecological System
Ecological, agricultural, and environmental determinants of nutritional adequacy, including soil salinity impacts, crop loss, and seasonal dietary variation.
OR
Observational Resilience
Community-level adaptive capacities, coping strategies, livelihood diversification, and social networks for navigating food system shocks.
MLE
Multi-Lens Equity
Structural inequities in food access across gender, age, caste, and economic position, including differential vulnerability of marginalised groups.
IK
Inclusive Knowledge
Traditional ecological knowledge, intergenerational food practices, indigenous preservation techniques, and the interface between institutional and community-held expertise.
Built from fieldwork in the Indian Sundarbans
7-Step Application Workflow
Apply NOMI as an analytic template in any climate-exposed food system context.
Select Study Context
Identify climate-exposed food system (delta, coastal, island, dryland)
NOMI-Guided Data Collection
Design interview guide using 4-pillar lens across NSS, OR, MLE, IK domains
Apply Four-Pillar Coding Framework
Code transcripts using NOMI pillars as deductive frame; allow inductive emergence
Map Cross-Pillar Relationships
Identify directional relationships between codes using 6 relationship types
Computational Community Detection
Run Louvain/Leiden on code network to discover thematic communities
CQT Literature Validation
Systematic literature triangulation for evidence convergence scoring
One Health Policy Translation
Map findings to human, animal, and environment domains for actionable recommendations
NOMI Framework Toolkit
A standalone CLI tool that operationalizes the NOMI framework for researchers. Install, initialize, analyze, export.
- Import codebooks from ATLAS.ti, NVivo, MAXQDA, Dedoose
- Customizable N-pillar framework (4 NOMI defaults + your own)
- Louvain + Leiden consensus community detection
- CQT literature search via PubMed + Consensus API
- AMRP diagnostic comparison against Sundarbans benchmark
- Publication-ready figures and interactive HTML reports
- Interactive web dashboard hosted on HuggingFace Spaces
Successfully installed nomi-apply-0.1.0
$ nomi-apply init "mekong-study"
Project created: mekong-study/
$ nomi-apply import-codebook codes.qdpx
Imported 245 codes
$ nomi-apply detect-communities
Detected 14 communities (Q=0.712)
$ nomi-apply amrp-diagnose
AMRP Score: 0.78 vs Sundarbans
$ nomi-apply dashboard
Dashboard live at hf.space/nomi-dashboard
Research Tools & Resources
We curate and build open-source tools across six research domains, powering reproducible food systems research.
NOMI Qualitative Pipeline
Coding, community detection, CQT validation, and network visualization for qualitative food systems analysis.
9 tools QualCoder GraphologyFood Safety Intelligence
Scraping government portals (FSSAI, RASFF), NLP for regulatory text mining, and contaminant surveillance dashboards.
16 repos spaCy MedCATBengali WDI Nutrition
Recipe extraction, ingredient matching across BFCT/IFCT/USDA, nutrient computation, and Water Dilution Index scoring.
21 repos OpenFoodFacts FoodOnIndia Data Infrastructure
NSSO/NFHS parsers, Census shapefiles, district boundaries, nightlights, and data.gov.in API connectors.
16 repos GeoPandas GADMAcademic Writing & Literature
Citation management, PRISMA diagrams, manuscript CI/CD, and AI-assisted systematic review tools.
12 repos Zotero QuartoDashboards & Visualization
Streamlit components, network graph renderers, choropleth maps, and interactive data exploration widgets.
27 repos Plotly Sigma.jsCurrent Projects
Three interconnected research streams exploring food system resilience, safety governance, and environmental health across India.
NOMI: A Four-Pillar Framework for Food System Resilience in Climate-Exposed Communities
Qualitative framework developed from Sundarbans fieldwork. 317 codes, 19 themes, 473 cross-pillar relationships, CQT literature validation.
Food Safety Governance Dimensions in India
Multi-level analysis of FSSAI enforcement, regulatory capacity, and food control infrastructure from national policy to local implementation.
Heavy Metal Contaminant Surveillance in Food Supply Chains
Environmental monitoring of contaminant exposure pathways in food systems, integrating environmental science with public health governance.
Samposhyam Foundation
Based in Kolkata, the Samposhyam Foundation conducts interdisciplinary research at the intersection of food safety, nutrition, environmental health, and social equity.
Our work spans computational qualitative methods, field research in vulnerable communities, and open-source tool development for the global research community.
Samposhyam (Sanskrit: complete nourishment) reflects our mission to understand food systems holistically.
Interdisciplinary by Design
Bridging qualitative field research with computational methods, traditional knowledge with modern science, and local communities with global policy.
Contact & Collaborate
Interested in applying the NOMI framework, collaborating on food systems research, or accessing our tools?