Owen Cotton-Barratt Over the past few months we’ve written a variety of pieces which fit together to give a picture of how we might estimate cost-effectiveness for research and similar activities. This page collects them, summarises what’s contained in each, and explains how they fit together. I gave an overview of my thinking at the Good Done […]
Category Archives: Problems of uncertain difficulty
Research note: How valuable is medical research?
Max Dalton This post was written in conjunction with Giving What We Can, and first appeared on their blog. It is part of the Global Priorities Project series of posts on how we should prioritise research and similar activities. How valuable is medical research? Finding the solution to a problem in medical research is not only […]
Part 5: Theory behind logarithmic returns
Photo by Ramunas Geciauskas Owen Cotton-Barratt Areas of endeavour This is part of a series of posts on how we should prioritise research and similar activities. In a previous post, we investigated methodology for estimating the expected returns from working on a problem of unknown difficulty. We argued that ex ante the expected benefits should often scale […]
Part 3: Estimating the cost-effectiveness of research into neglected diseases
Max Dalton Max Dalton did this work while working on a research internship with Owen Cotton-Barratt at the Global Priorities Project. It is part of our project about prioritisation under uncertainty. It interfaces with Giving What We Can in providing estimates of the cost-effectiveness of interventions in developing-world health. Summary This post examines the returns to funding […]
Part 2: Estimating cost-effectiveness for problems of unknown difficulty
Owen Cotton-Barratt This is part of a series of posts on how we should prioritise research and similar activities. In a previous post we explored how we should form subjective probabilities about chances of success of problems of unknown difficulty. This post is concerned with how to use these probabilities to estimate the expected value […]
Part 1: How to treat problems of unknown difficulty
Owen Cotton-Barratt This is the first in a series of posts which take aim at the question: how should we prioritise work on problems where we have very little idea of our chances of success. In this post we’ll see some simple models-from-ignorance which allow us to produce some estimates of the chances of success […]