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.