Overview
Harnessing the power of generative AI (GenAI), 1000001 Labs develops intelligent tools to quantify and visualise environmental-justice outcomes. Our AI-driven dashboards and matrices equip decision-makers with evidence on fairness, distributional impacts, and inclusivity.
Key capabilities
- Custom GenAI development
- Fine-tuned models for environmental-data synthesis and anomaly detection
- Natural-language interfaces for exploratory analysis and scenario generation
- Environmental-justice indicators
- Development of harmonised metrics covering distributional equity, procedural inclusion, and intergenerational impacts
- Automated calculation pipelines feeding into dashboards
- Framework to evaluate policies
- Framework to evaluate policies on four dimensions: distributive outcomes, inclusive decision-making, recognition of marginalised groups, and long-term equity
- Visualisation module with comparative policy scoring
- Data integration and interoperability
- Ingestion of citizen-science submissions, behavioural-experiment results, and socio-economic datasets
- EOSC-Zenodo integration for FAIR data
- Policy evaluation and reporting
- Scenario testing of environmental-justice interventions
- Generation of policy briefs and interactive storyboards