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Project Summary
This is a public-interest initiative focused on improving how complex systems are understood and navigated. Across domains such as ethical and safe AI, governance, climate, health, education, economic systems, and institutional design, decision-making is increasingly limited not by lack of information, but by difficulty interpreting interdependencies, feedback loops, and second-order effects.
This project develops an ethical systems intelligence platform that translates complex domains into structured, navigable representations of system behavior. The aim is to make leverage points, constraints, and intervention pathways more legible and actionable for many researchers, policymakers, and institutions operating in high-complexity environments.
The long-term goal is to strengthen positive and coordinated collective sensemaking and improve decision quality, resilience in critical global systems.
Goals & Approach
The initial phase focuses on building and validating a minimum viable prototype.
Key objectives:
Develop formal systems representations (actors, incentives, dependencies, feedback loops)
Build a working prototype that converts real-world domains into structured system maps
Iterate based on structured feedback and real-world use
The approach represents the author’s applied expertise and advisement at governments and multilateral institutions.
Use of Funds
Funding will support a focused 3–6 month build and validation phase.
Team & Track Record
The project is led by a systems expert specializing in embedded sociotechnical systems, and institutional and sectoral transformation.
She holds a PhD in Systems Engineering from George Washington University with research conducted at the Massachusetts Institute of Technology, with degrees in engineering management and industrial engineering.
Her professional work spans government, academia, multilaterals, private sector, NGOs, international development, sustainability, organisational transformation. This includes advise on AI policy at USG especially. AAcross these roles, her work has focused on translating systems thinking into strategy, institutional analysis in complex environments, and operations.
This is founder-led, with collaborators engaged as validation evolves.
Risks & Failure Modes
Key risks include:
Difficulty translating some systems
Challenges achieving strong validation with early users
Limited adoption despite functional technical performance
Regardless the work continues via advisement and tools development, deployment.
Prior Funding
Work to date has been supported by the founder.
Funding Request
Requested funding: $50,000–$1,000,000
Phase 1 — MVP + Validation
Build and validate prototype
Develop core representations
Test in relevant domains
Phase 2 — Expansion
Expand prototype
Improve usability
Pilots
Phase 3 — Infrastructure
Scale, expand domain coverage
Long-term capacity
Closing
This initiative builds on the author’s formal professional and academic vocation and training. All Rights Reserved © 2026 Megan L. Peters, PhD. All rights reserved. This material represents expertise of its author is intended solely for evaluation by recipients and no reproduction or distribution is permitted without prior written consent.