Past client · Canadian Wildlife Service
Canada · Priority Places for Species at Risk
We measured what a national biodiversity program had no way to see: whether its stakeholder networks were actually working.
Social-Ecological Intelligence
Dialectik SEI pairs the SNPI social-network framework with geospatial environmental science; together they make stakeholder collaboration and climate risk visible, measurable, and actionable for the institutions shaping climate and biodiversity outcomes.
Selected stories
Past client · Canadian Wildlife Service
We measured what a national biodiversity program had no way to see: whether its stakeholder networks were actually working.
For institutional partners & funders
Rigorous climate and social vulnerability assessments, grounded in peer-reviewed science and regional fieldwork.
Read our published researchA people-first lens
From species-at-risk governance in Canada to coffee sector resilience in Latin America, the SNPI framework makes stakeholder collaboration visible, measurable, and actionable.
Read the Canada caseFor businesses & trade
Country-level risk assessments across a 10–30 year horizon, integrating environmental projections with stakeholder network analysis.
Request a country briefingThe challenge
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.
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.
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.
Our approach
Satellite imagery, LiDAR, climate models, and hydrological analysis to map physical vulnerability across coffee-producing regions — current conditions and 10–30 year projections.
The SNPI framework quantifies stakeholder collaboration, trust-building, power-sharing, and social learning within coffee sector governance networks through rigorous network metrics.
Social and environmental dimensions are treated as co-equal analytical pillars, producing country-level vulnerability profiles, network performance scores, and adaptation recommendations.
Published research
Our work is grounded in peer-reviewed research published in Environmental Science and Policy, one of the leading journals in environmental governance.
The team

Founder · Lead Researcher · Social Network Performance Indicators (SNPI)
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.

Co-founder · Geospatial Data Scientist
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.

PhD Candidate
Henry is a PhD Candidate at IHE Delft Institute for Water Education and Delft University of Technology. His doctoral work is part of the NEXOGENESIS Project — a Horizon 2020 EU initiative assessing the Water–Energy–Food–Ecosystems Nexus and supporting policy evaluation through System Dynamics, Artificial Intelligence, and Machine Learning across five case studies in Europe and Africa.

Sustainability Scientist · PhD Candidate
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.

Data Scientist
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.
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.
Schedule a conversation→