Minerva — Minimum Context for Transactional Fraud Assessment (DataS2 Research Notes)

This book is not about catching more fraud.
It is about understanding when suspicion itself is legitimate — and when systems pretend to know more than they do.

Minerva — Minimal Context for Transactional Fraud Assessment examines how modern financial systems make decisions under extreme uncertainty, time pressure, and abstraction. Instead of offering formulas or frameworks, the book asks a deeper question: what can responsibly be known before money moves?

Written for readers who work with data, risk, payments, and automated decision-making, this book explores why more data does not necessarily lead to better judgment, why context cannot always be inferred, and why responsibility cannot be delegated to models operating in milliseconds.

If you are looking for checklists, scores, or promises of accuracy, this is not that book.
If you are willing to confront the limits of automation — and think more carefully about what we choose to decide — Minerva is an invitation to slow down, question assumptions, and rethink what defensible judgment really means.

This is not a guide to implementation.
It is a discipline of thought.

Read it if you are ready to think more carefully than the systems you build.