Risk Analysis has published a peer-written biographical profile of Tony Cox covering his contributions to causal analysis, adversarial risk assessment, and AI-assisted methods, with reflections from colleagues across the field. Read the profile on Wiley (DOI) and the PDF reprint.– DOI: https://onlinelibrary.wiley.com/doi/10.1111/risa.70116
Introduction to the Online Supplement for “Integrating Fragmented Risk Knowledge: Sheaf-Theory for Risk Analysts” This Online Supplement provides the background and case discussions that underlie the concise summary presented in Table 5 of the main article. Whereas the main text highlights only the essential contrasts between enduring challenges in risk and decision science and the… Read More »
Tony Cox line-by-line comments on The Guardian article Louis Anthony Cox, Jr., Ph.D., tcoxdenver@aol.comJuly 25, 2025 Introduction This document provides a detailed, line-by-line response to the June 27, 2025 article published by The Guardian, currently titled “How a New AI Tool Could Amplify Doubt in Pollution Science.” The Guardian has issued multiple post-publication corrections to this… Read More »
This 2023 book highlights recent advances in decision-making and risk analysis; Elaborates the benefit of modern computational techniques for dealing with realistic complexities; Explains challenges and opportunities of normative decision theory under current decision-making environments
For an AI agent to make trustworthy decision recommendations under uncertainty on behalf of human principals, it should be able to explain why its recommended decisions make preferred outcomes more likely and what risks they entail. Such rationales use causal models to link potential courses of action to resulting outcome probabilities. They reflect an understanding of possible… Read More »
This 2021 book from Cox Associates highlights recent advances in causal analytics, machine learning, and risk analysis models and methods to determine whether and by how much reducing exposures affects human health risks. It shows how to apply modern data science, artificial intelligence and machine learning, causal analytics, mathematical modeling, and risk analysis to better… Read More »
Tony Cox has been elected an INFORMS Fellow “for significant research, practice, and service contributions to homeland security, health and environmental risk analysis, telecommunications, and the modeling of causality.” Fellows of the Institute for Operations Research and Management Science (INFORMS) are examples of outstanding lifetime achievement in operations research and the management sciences. https://www.sra.org/news/tony-cox-receives-informs-fellow-award
A new book Causal Analytics for Applied Risk Analysis from Cox Associates explains how causal analytics can revolutionize data science and decision-making by using experience and data to quantify how different choices affect probabilities of various outcomes. This provides the crucial link between actions and their consequences that is so often missing in predictive analytics… Read More »
How can modern causal analytics improve evidence-based policy analyses, decisions, and retrospective evaluations? This was the theme of a March 15 workshop at the Society for Benefit-Cost Analysis (SBCA). Participants were enthusiastic: a typical response was “I was very impressed with the causal analytics workshop at the SBCA conference. I am already thinking of applications… Read More »
Dr. Cox presented CAT at a Society for Risk Analysis (SRA) Webinar on June 29, 2016. Download slides here and a recording of the presentation here.
In July 2016, the CAT platform was extended to support Python 3.5.2 in addition to R. For data scientists, CAT now provides a single platform for doing both R and Python from Excel spreadsheets. To upgrade from the base version of CAT to the new “proCAT” version that also supports Python and contains enhanced non-parametric analyses,… Read More »
Dr. Cox presents the Causal Analytics Toolkit (CAT) at the GW Regulatory Studies Center to audiences concerned with improving the soundness of scientific inferences in regulations. Powerpoint slides are available here. More info can be found here.
Cox Associates has just released the first version of its Causal Analytics Toolkit — a breakthrough software product that puts state-of-the-art analytics and advanced R package capabilities in the hands of ordinary Excel users with no need to learn R. Download a free full working copy now.