Author Archives: Russell Thomas

Russell Thomas

About Russell Thomas

Principal Modeler - Cyber Risk

Russell Thomas is Principal Modeler for Cyber Risk at RMS, and also a PhD Candidate in Computational Social Science at George Mason University. Russell has over 20 years experience in management consulting, economic analysis of information technology, and information security metrics and risk modeling.

Toward a Science of Cyber Risk

Why a “Science”? (Part One)

A new article, The Science of Cyber Risk: A Research Agenda has just been published in Science. A free, non-paywall version of this paper is available here. Written by a diverse team of 19 authors, including myself, it presents a concise argument for interdisciplinary research, to establish a scientific basis for risk analysis and management in the cyber security domain.

As a leading provider of cyber risk models for the (re)insurance industry, RMS is committed to advancing the state-of-the-art in the science of cyber risk. The proposed six category research agenda is of keen interest to RMS and we recommend this Science journal article to anyone who shares our interest in solving the hard problems.

In this the first of three blog posts, I’ll explore why we need a “science” and what difference it will make. The next two posts will feature case studies in interdisciplinary collaboration, including lessons from past successes and failures.

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