Decision Support Tools for Malaria Prevention and Treatment
Malaria-endemic countries have experienced a significant decline in malaria burden in recent years, and they are relying on strong health management information systems to provide
Modeling Risk
When we speak about risk we are often concerned with the negative consequences of an event in a particular context. The following list provides examples
Assessing the Vulnerabilities of Banks to Money Laundering
THE CHALLENGE: In an especially limited information environment, identify the sources and underlying causes of money laundering and assess the vulnerabilities of banking systems to
Developing a Bayesian Network Model to Advise Carbon Fund Portfolio Managers
In an especially limited information environment, identify the sources and underlying causes of money laundering and assess the vulnerabilities of banking systems to those threats.
Optimizing Hospital Location
THE CHALLENGE: Given a scarcity of healthcare facilities, optimize the location of new healthcare facilities in order to provide equitable access to healthcare services for
Inefficiencies in a Healthcare System
THE CHALLENGE: Identify the causes of inefficiency and propose mechanisms to address those inefficiencies in a health system or hospital group. THE METHODOLGY: In order
Developing Climate-Smart Agriculture Policies: The Role of Economic Modeling
There has been growing interest in climate-smart agriculture among many national governments and the international donor community.
A Model for Quality Schooling
In this paper, we first
describe the development of a theoretical model for quality
of schooling using a Bayesian network approach and then
discuss learning of the network structure from data using
the theoretical model as a guide.
Decisions in the Establishment and Operation of a National Testing Center
Higher education is widely recognized as an important key to economic advancement. In many developing countries, however, university entrance examinations have been tainted
by bribery and fraud. Resulting distortions reduce the practical social benefits from educational investment, as well as general public confidence in the system.
A Bayesian Network for School Performance
Presented at the Seventh Annual Workshop on Bayes Applications at the Uncertainty in Artificial Intelligence Conference, June 2009, Montreal, Canada
A Knowledge-Based Framework for Development Policy
Using a modeling approach to development policy
Providing Policymakers with Tools to Improve Student Outcomes
Given limited resources, provide policymakers in Peru and Jamaica with policy interventions to improve student reading scores.
Climate-Smart Agricultural Policy-Design & Implementation
Provide policymakers and program designers with models and tools to inform agricultural policy design and implementation.
THE GENIUS NEUROSCIENTIST WHO MIGHT HOLD THE KEY TO TRUE AI
Karl Friston’s free energy principle might be the most all-encompassing idea since Charles Darwin’s theory of natural selection. But to understand it, you need to peer inside the mind of Friston himself.
The Bayesian Probability puzzle Solution: ‘When Probability Meets Real Life’
When making hard decisions, do you go with your gut or try to calculate the risks? In many cases going with your gut is fine, but the answers to our February puzzle problems show how explicit probabilistic thinking can outperform intuitive estimates. They also highlight the differences between situations where an intuitive approach succeeds and ones where it fails.