TODO ES: Latin American-led climate research

TODO ES: Quantifying climate and social vulnerability in the coffee sector

TODO ES: Peer-reviewed methodology combining satellite data with social network analysis across five Latin American countries. Based in the Netherlands.

TODO ES: Published in Environmental Science and Policy (Elsevier)TODO ES: Affiliated with TU Delft

TODO ES: For institutional partners & funders

TODO ES: Evidence-based research to inform investment, policy, and development strategy

TODO ES: Rigorous climate and social vulnerability assessments of the Latin American coffee sector, grounded in peer-reviewed science and regional fieldwork.

TODO ES: Schedule a conversation

TODO ES: For coffee businesses & trade

TODO ES: Understand how climate and social dynamics will reshape your supply chain

TODO ES: Country-level risk assessments across a 10–30 year horizon, integrating environmental projections with stakeholder network analysis.

TODO ES: Request a country briefing

TODO ES: For researchers & collaborators

TODO ES: Explore our published SNPI framework and transdisciplinary methodology

TODO ES: Join a growing network of Latin American and Caribbean researchers working on climate adaptation in the coffee sector.

TODO ES: View our publications

TODO ES: The challenge


TODO ES: Climate change is reshaping Latin American coffee — and the communities behind it

TODO ES: Coffee-producing regions across Latin America and the Caribbean face an existential climate threat: rising temperatures at altitude, shifting precipitation, flooding, drought, and the return of leaf rust.

TODO ES: Yet the people who understand that threat most intimately — the farmers, the local researchers, the communities living it every day — have been systematically excluded from the conversation about how to respond. Most climate risk assessments for the sector stop at satellite observations and supply-chain modeling, treating the social dimension as anecdotal.

TODO ES: Dialectik was founded to close that gap. Our work is grounded in the conviction that climate adaptation without community engagement is incomplete — and that rigorous social science is as measurable, and as important, as environmental data. Addressing the crisis requires tools that treat both dimensions, the ecological and the social, with equal rigor.

TODO ES: Our approach


TODO ES: Two data streams, treated as co-equal pillars

TODO ES: Environmental data

TODO ES: Satellite imagery, LiDAR, climate models, and hydrological analysis to map physical vulnerability across coffee-producing regions — current conditions and 10–30 year projections.

TODO ES: Social network analysis

TODO ES: The SNPI framework quantifies stakeholder collaboration, trust-building, power-sharing, and social learning within coffee sector governance networks through rigorous network metrics.

TODO ES: Integrated assessment

TODO ES: Social and environmental dimensions are treated as co-equal analytical pillars, producing country-level vulnerability profiles, network performance scores, and adaptation recommendations.

TODO ES: Methodology

TODO ES: Geographic scope


TODO ES: Five countries. One regional assessment.

TODO ES: A dual-scale architecture: a regional vulnerability assessment of the Latin American and Caribbean coffee sector, anchored in country-level case studies conducted by regional researchers.

Mexico Colombia Costa Rica El Salvador Guatemala N
TODO ES: The Coffee Initiative

TODO ES: Published research


TODO ES: Peer-reviewed methodology

TODO ES: Our work is grounded in peer-reviewed research published in Environmental Science and Policy, one of the leading journals in environmental governance.

Environmental Science & Policy · 2026

TODO ES: Social Network Performance Indicators (SNPI): A review of key concepts and indicators of social process and outcomes in environmental management

TODO ES: Daniel Teodoro, Bridget McGlynn, Julia Baird

TODO ES: Read the full paper

Environmental Science & Policy · 2024

TODO ES: Co-designing a research agenda for climate adaptation in El Salvador's coffee sector: A transdisciplinary perspective

TODO ES: Jose Daniel Teodoro, Suzanne Marselis, Antonella Maiello, Achim Hager

TODO ES: Read the full paper

TODO ES: The team


TODO ES: Latin American researchers leading Latin American research

TODO ES: Dr. Jose Daniel Teodoro

TODO ES: Dr. Jose Daniel Teodoro

TODO ES: Founder · Lead Researcher · Social Network Performance Indicators (SNPI)

TODO ES: Dr. Teodoro is the founder of Dialectik and the creator of the Social Network Performance Indicators (SNPI) framework — a systematic approach to quantifying the quality of stakeholder collaboration in environmental governance. His work has been published in Environmental Science and Policy (Elsevier) in both 2024 and 2026, and has been applied to fieldwork in El Salvador, Brazil, and Canada.

TODO ES: Dr. Vitali Diaz

TODO ES: Dr. Vitali DiazTODO ES: TU Delft

TODO ES: Co-founder · Geospatial Data Scientist

TODO ES: Dr. Diaz is Dialectik's environmental science counterpart — a Geospatial Data Scientist at TU Delft, Europe's premier technical university, and an expert in remote sensing, LiDAR observation, hydrological modeling, and drought and flood risk assessment. His work draws on satellite imagery, climate models, and large-scale environmental datasets to quantify physical vulnerability across landscapes.

TODO ES: Bridget McGlynn

TODO ES: Bridget McGlynnTODO ES: QUT

TODO ES: Sustainability Scientist · PhD Candidate

TODO ES: Bridget is an interdisciplinary sustainability scientist focused on collaborative governance, water resources, and network analysis. Her research investigates how patterns of collaboration among decision-making actors reflect the spatial and logistical complexity of the environmental problems they address, drawing on social-ecological resilience thinking and a systems perspective.

TODO ES: Rick Vink

TODO ES: Rick VinkTODO ES: Metriek

TODO ES: Data Scientist

TODO ES: Rick is a data scientist with 8+ years of experience building end-to-end analytical and machine learning systems. His work spans recommender systems, time-series forecasting, statistical modeling, and applied NLP — translating messy, real-world data into evidence that supports decision-making.

TODO ES: Meet the full team

TODO ES: Built for organizations that take climate resilience seriously

TODO ES: Whether you represent an institutional funder, a coffee sector business, or a fellow research organization, we would welcome a conversation about how our work can support yours.

TODO ES: Schedule a conversation