What they needed
- Energy optimisation from STEVFNs connected to interactive DPAC curves.
- Autarky and collaboration scenarios compared across countries.
- Governed access for researchers and policy teams.
- Dense data that stays easy to explore.
What GMPA models
- Autarky and collaboration scenario modes.
- Pathway scenarios at 1.5°C, 2°C, and 2.5°C.
- Business-as-usual (BAU) and least-cost baselines.
- Emissions-constrained scenarios down to 0 MtCO₂e.
Glossary
GMPA
the Global Mitigation Potential Atlas, a decision-support platform developed by Moya Analytics.
DPAC
Dynamic Pareto Abatement Cost, a curve that shows how the cost of cutting emissions changes as the target gets tighter.
Autarky scenario
each country meets its energy needs on its own.
Collaboration scenario
countries cooperate across borders to meet their needs.
Core mission
"Unlock mitigation potential through collective action by demonstrating how international collaboration can reduce both costs and emissions while meeting energy needs."
Full-stack web platformThe atlas itself, with Explore, Policies, Methodology and Facilitative Cases sections.
Interactive DPAC curves and heatmapsDynamic views with autarky and collaboration logic and configurable data paths.
Researcher onboarding and verificationTransactional email flows and approval workflows for research access.
Headless CMS (Strapi)Editorial workflows so the team can update content without a release.
Cloud-ready integrationStorage, queues, and database patterns aligned with production infrastructure.
Parallel modelling workflowDocumentation and automation hooks for STEVFNs and GMPA branch scenarios.
30
countries
Mitigation potential mapped across 30 countries on the atlas
162
collaboration cases
Multi-country heatmap collaboration cases (live site rounds as 150+)
10
partners & funders
International partners and funders published on the live Impact section
2
scenario modes
Autarky and collaboration modes for comparing energy pathways
3
pathway scenarios
Temporal pathways at 1.5°C, 2°C, and 2.5°C
~4,100
data points
DPAC and mitigation collection points — not millions
Frontend
Next.js (App Router), React, TypeScript, Tailwind CSS, Radix UI, D3, TopoJSON.
Next.jsReactTypeScriptTailwindRadix UID3TopoJSON
Data and backend
Strapi headless CMS, GraphQL and REST APIs, Supabase, PostgreSQL, JSON-backed atlas data layer.
StrapiGraphQLRESTSupabasePostgreSQL
Cloud
AWS S3 with presigned uploads, SQS, DynamoDB, email through Resend.
AWS S3SQSDynamoDBResend
Auth
NextAuth, Supabase SSR, JWT handling with jose, signup and approval workflows.
NextAuthSupabase SSRjoseJWT
Modelling
Python, STEVFNs, CVXPY, packaging via conda and/or uv, scenario automation.
PythonSTEVFNsCVXPYconda / uv
Ops
Docker, PM2 deploy scripts.
DockerPM2
Questions about the GMPA project
What is GMPA?
GMPA is the Global Mitigation Potential Atlas, a decision-support platform from Moya Analytics. It shows how much emissions can be cut across countries and sectors, using STEVFNs energy-system models.
What did Markytech build for Moya Analytics?
We built the web platform: interactive DPAC curves and heatmaps, researcher onboarding and verification, a Strapi content system, cloud integration, and a workflow for running modelling scenarios in parallel.
What is the difference between autarky and collaboration scenarios?
In an autarky scenario each country meets its energy needs alone. In a collaboration scenario countries work together. The atlas lets users compare the two, so they can see how cooperation changes both cost and emissions.
What technology does GMPA use?
The frontend uses Next.js, React, TypeScript and D3. Data runs on Strapi, GraphQL and PostgreSQL, with AWS services for storage and queues. Modelling uses Python, STEVFNs and CVXPY.
Can Markytech build a similar data platform for us?
Yes. If you have modelling pipelines, a policy or research audience, or data that needs governed access, we can map what it would take in a short call.