Digital Evolution Lab
The core lab environment for mutation, selection, adaptation, tradeoffs, and evidence from digital experiments.
Roadmap
The next version of evo-edu.org should give teachers and self-learners a stable home for digital evolution labs, field ecology resources, scaffolded learning pathways, and project-based exploration tied to the NGSS.
Priority expansion order
Platform roles
The core lab environment for mutation, selection, adaptation, tradeoffs, and evidence from digital experiments.
The field-and-data side of evo-edu.org, where ecology, species life history, biodiversity, and research documentation come together.
A guided-study companion for autodidacts and structured review. It should support evo-edu course packs, concept maps, and reflection workflows.
A research-support tool for topic expansion, bibliography discovery, and evidence trails, built on the CiteGeist API.
Cross-Project Integration
Best near-term integration target. Use it as the guided-study and learner-workbench layer behind evo-edu packs, review prompts, concept paths, and reflection workflows. A useful web component already has a plausible base in the existing review-workbench and learner-session direction.
Best treated first as a linked reference and advanced-topic resource. A later useful web component would be a classifier/explorer UI for OPT codes, example systems, and audit logs, especially for AI literacy or advanced Didactopus-linked study.
Best treated as infrastructure support rather than a learner-facing evo-edu component. A later useful web component would be an operator-facing site-planning and deployment workbench for stacks, auth, VPN-only services, and generated host layouts.
Feature-Dev Evaluation
The newer feature-dev packages are useful as design and prototype material, but they should not replace the current metadata-driven evo-edu publication pipeline outright. The strongest pieces are the app ideas, the lightweight shared JavaScript helper direction, and the educational framing pattern.
Port the best concepts into the current wordpress_data/apps model: start with Fitness Landscape Explorer, then consider Speciation Simulator, Evolutionary Game Theory Lab, Selection vs Drift Inference Lab, and Genotype → Phenotype Mapper as the next app tranche.
Do not adopt the Org-template/shared-include package system or the package bundles as the new canonical source of truth. Those would create a second competing framework beside the current app.json plus generator workflow.
feature-dev materials as prototype inputs only: port selected app ideas and JS helper patterns into the current evo-edu app pipeline instead of adopting the package framework wholesale.